updated analysis and much more

.gitignore

@@ -39,7 +39,7 @@ vignettes/*.pdf
 .Renviron
 
 # Custom
-/data/
+/data
 /data/*.xls
 /data/*.csv
 

1 PA Decline/00master.R

@@ -0,0 +1,324 @@
+## 
+## Master script
+## 
+## Based on the assignment work from the ISL-course
+## 
+## 
+## 
+
+## ====================================================================
+# Step 0: Primary outcome
+## ====================================================================
+
+# Difs
+rel_dif <- 20 # 20 % difference
+abs_dif <- 20 # 20 point diff
+
+# pout <- "diff"
+# 
+# Note:: By increasing the relative decline, the sensitivity increases and specificity declines.
+# This fact is an argument against over fitting. The reason being the nature of the clinical data and the fact, that predicting PA is difficult (!) 
+# 
+pout <- "drop" # Drop to first quartile
+
+# decl_rel
+# decl_abs
+# drop
+
+
+## ====================================================================
+## Data
+## ====================================================================
+
+
+setwd("/Users/au301842/PhysicalActivityandStrokeOutcome/1 PA Decline/")
+
+source("data_set.R")
+# Loading data-set from USB, to not store on computer
+
+source("data_format.R")
+
+## ====================================================================
+# Libraries
+## ====================================================================
+
+
+library(tidyverse)
+library(glue)
+library(patchwork)
+library(ggdendro)
+library(corrplot)
+library(gt)
+library(gtsummary)
+
+
+## ====================================================================
+## 
+## Baseline
+## 
+## ====================================================================
+
+
+## ====================================================================
+# Step 0: labels
+## ====================================================================
+
+
+lbs<-var.labels[match(colnames(X_tbl), 
+                      names(var.labels))]
+
+ls<-lapply(1:ncol(X_tbl),function(x){
+  as.formula(paste0(names(lbs)[x],"~","\"",lbs[x],"\""))
+})
+
+ts<-tbl_summary(X_tbl|>filter(pase_0_cut!="1"),
+                by = "group",
+                missing = "no",
+                # label = ls[-length(ls)], ## Removing the last, as this is output
+                value = list(where(is.factor) ~ "2"),
+                type = list(mrs_0 ~ "categorical"),
+                statistic = list(all_continuous() ~ "{median} ({p25};{p75}) [{min},{max}]")
+)%>%
+  add_overall() %>%
+  add_n()%>%
+  as_gt()
+
+ts
+
+ts_rtf <- file("table1.RTF", "w")
+writeLines(ts%>%as_rtf(), ts_rtf)
+close(ts_rtf)
+
+
+
+## ====================================================================
+# Step 1: labels
+## ====================================================================
+lbs<-var.labels[match(colnames(X_tbl_f), names(var.labels))]
+
+ls<-lapply(1:ncol(X_tbl_f),function(x){
+  as.formula(paste0(names(lbs)[x],"~","\"",lbs[x],"\""))
+})
+
+## ====================================================================
+# Step 2: table - edited
+## ====================================================================
+
+ts_e<-tbl_summary(X_tbl,
+                  missing = "no",
+                  # label = ls[-length(ls)], ## Removing the last, as this is output
+                  value = list(where(is.factor) ~ "2"),
+                  type = list(mrs_0 ~ "categorical",
+                              mrs_1 ~ "categorical"),
+                  statistic = list(all_continuous() ~ "{median} ({p25};{p75}) [{min},{max}]")
+)%>%
+  as_gt()
+
+ts_e
+
+## ====================================================================
+# Step 3: table export
+## ====================================================================
+
+ts_rtf <- file("table1_overall.RTF", "w")
+writeLines(ts%>%as_rtf(), ts_rtf)
+close(ts_rtf)
+
+
+## ====================================================================
+## 
+## Data variance
+## 
+## Illustrating principal components.
+## 
+## ====================================================================
+
+
+# source("PCA.R")
+# 
+# 
+# pca22
+# ggsave("pc_plot.png",width = 18, height = 12, dpi = 300, limitsize = TRUE, units = "cm")
+
+
+## ====================================================================
+## 
+## Models
+## 
+## ====================================================================
+
+
+source("assign_full.R")
+source("regularisation_steps.R")
+
+## ====================================================================
+# Step 1: data merge
+## ====================================================================
+tbl<-merge(reg_coef_tbl$'_data',full_coef_tbl$'_data',by="name",all.x=T, sort=F)
+
+## ====================================================================
+# Step 2: table
+## ====================================================================
+com_coef_tbl<-tbl%>%
+  gt()%>%
+  fmt_number(
+    columns=colnames(tbl)[sapply(tbl,is.numeric)], ## Selecting all numeric
+    rows = everything(),
+    decimals = 3)%>%
+  tab_spanner(
+    label = "Full model",
+    columns = 6:8
+  )%>%
+  tab_spanner(
+    label = paste0("Regularised model, (a=",
+                   best_alph,
+                   ", l=",
+                   round(best_lamb,3),
+                   ")"),
+    columns = 2:5
+  )%>%
+  tab_header(
+    title = "Model coefficients",
+    subtitle = "Combined table of both full and regularised model coefficients"
+  )
+
+com_coef_tbl
+
+## ====================================================================
+# Step 3: export
+## ====================================================================
+com_coef_rtf <- file("table2.RTF", "w")
+writeLines(com_coef_tbl%>%as_rtf(), com_coef_rtf)
+close(com_coef_rtf)
+
+
+## ====================================================================
+## 
+## Model performance
+## 
+## Table with performance meassures for the two different models.
+## 
+## ====================================================================
+
+# ROC curve of best model
+
+p_roc
+ggsave("roc_plot.png",width = 12, height = 12, dpi = 300, limitsize = TRUE, units = "cm")
+
+
+## ====================================================================
+# Step 1: data set
+## ====================================================================
+tbl<-data.frame(Meassure=c(names(full_cfm$byClass),"Mean AUC"),
+                "Regularised model"=round(c(reg_cfm$byClass,reg_auc_sum["Mean"]),3),
+                "Full model"=round(c(full_cfm$byClass,full_auc_sum["Mean"]),3))
+
+## ====================================================================
+# Step 2: table
+## ====================================================================
+tbl_perf<-tbl%>%
+  gt()%>%
+  tab_header(
+    title = "Performance meassures",
+    subtitle = "Combined table of both full and regularised performance meassures"
+  )
+
+tbl_perf
+
+## ====================================================================
+# Step 3: export
+## ====================================================================
+tbl_perf_rtf <- file("table3.RTF", "w")
+writeLines(tbl_perf%>%as_rtf(), tbl_perf_rtf)
+close(tbl_perf_rtf)
+# 
+
+## ====================================================================
+## 
+## Secondary analysis
+## 
+## ====================================================================
+
+Xy<-dta_s
+X<-dta_s|>select(-group)
+y<-dta_s$group
+
+
+source("assign_full.R")
+source("regularisation_steps.R")
+
+## ====================================================================
+# Step 1: data merge
+## ====================================================================
+tbl<-merge(reg_coef_tbl$'_data',full_coef_tbl$'_data',by="name",all.x=T, sort=F)
+
+## ====================================================================
+# Step 2: table
+## ====================================================================
+com_coef_tbl<-tbl%>%
+  gt()%>%
+  fmt_number(
+    columns=colnames(tbl)[sapply(tbl,is.numeric)], ## Selecting all numeric
+    rows = everything(),
+    decimals = 3)%>%
+  tab_spanner(
+    label = "Full model",
+    columns = 6:8
+  )%>%
+  tab_spanner(
+    label = paste0("Regularised model, (a=",
+                   best_alph,
+                   ", l=",
+                   round(best_lamb,3),
+                   ")"),
+    columns = 2:5
+  )%>%
+  tab_header(
+    title = "Model coefficients",
+    subtitle = "Combined table of both full and regularised model coefficients"
+  )
+
+com_coef_tbl
+
+## ====================================================================
+# Step 3: export
+## ====================================================================
+com_coef_rtf <- file("table2_sec.RTF", "w")
+writeLines(com_coef_tbl%>%as_rtf(), com_coef_rtf)
+close(com_coef_rtf)
+
+
+## ====================================================================
+## 
+## Model performance
+## 
+## Table with performance meassures for the two different models.
+## 
+## ====================================================================
+
+
+## ====================================================================
+# Step 1: data set
+## ====================================================================
+tbl<-data.frame(Meassure=c(names(full_cfm$byClass),"Mean AUC"),
+                "Regularised model"=round(c(reg_cfm$byClass,reg_auc_sum["Mean"]),3),
+                "Full model"=round(c(full_cfm$byClass,full_auc_sum["Mean"]),3))
+
+## ====================================================================
+# Step 2: table
+## ====================================================================
+tbl_perf<-tbl%>%
+  gt()%>%
+  tab_header(
+    title = "Performance meassures",
+    subtitle = "Combined table of both full and regularised performance meassures"
+  )
+
+tbl_perf
+
+## ====================================================================
+# Step 3: export
+## ====================================================================
+tbl_perf_rtf <- file("table3_sec.RTF", "w")
+writeLines(tbl_perf%>%as_rtf(), tbl_perf_rtf)
+close(tbl_perf_rtf)

1 PA Decline/PCA.R

@@ -0,0 +1,74 @@
+## ItMLiHSmar2022
+## PCA.R, child script
+## Principal components analysis for data visualisation
+## Andreas Gammelgaard Damsbo, agdamsbo@clin.au.dk
+
+
+## ====================================================================
+## Step 0: data wrangling
+## ====================================================================
+# source("data_format.R")
+
+X1<-X %>% dplyr::mutate(across(where(is.factor), as.numeric))
+
+pc.out<-prcomp(X1, center=TRUE, scale = TRUE)
+
+pc.sum<-summary(pc.out)
+
+## ====================================================================
+## Step 1: plotting
+## ====================================================================
+Xy$group<-factor(Xy$group,labels = c("No decline", "Decline"))
+
+library(ggfortify)
+ppc12 <- autoplot(pc.out,
+                  data = Xy,
+                  x=1,
+                  y=2,
+                  colour = 'group')+
+  labs(title = "PC1 and PC2",
+       colour = "Outcome")
+ppc13 <- autoplot(pc.out,
+                  data = Xy,
+                  x=1,
+                  y=3,
+                  colour = 'group')+
+  labs(title = "PC1 and PC3",
+       colour = "Outcome")
+ppc23 <- autoplot(pc.out,
+                  data = Xy,
+                  x=2,
+                  y=3,
+                  colour = 'group')+
+  labs(title = "PC2 and PC3",
+       colour = "Outcome")
+
+# Scree plot
+pscr<-tibble(x=1:dim(pc.sum$importance)[2],
+             Proportion=pc.sum$importance[2,],
+             Cumulative=pc.sum$importance[3,])%>%
+  pivot_longer(cols=-x)%>%
+  ggplot(aes(x=x,y=value,color=name))+
+  geom_line()+
+  geom_point()+
+  ylim(0,1)+
+  labs(title = "Scree plot",
+       color= "Variance")+
+  ylab("Variance")+
+  xlab("Principal components")
+
+## ====================================================================
+## Step 2: merge plots
+## ====================================================================
+library(patchwork)
+pca22<-ppc12+
+  theme(legend.position="none")+
+  ppc13+
+  ppc23+theme(legend.position="none")+
+  pscr+ 
+  plot_layout(ncol=2)+
+  plot_annotation(title = 'Principal component visualisation',
+                  tag_levels = "A")
+
+# pca22
+

1 PA Decline/archive/dataset.R

@@ -2,7 +2,6 @@
 ## Import from previous work
 dta<-read.csv("/Volumes/Data/exercise/source/background.csv",na.strings = c("NA","","unknown"),colClasses = "character")
 
-
 ## Cleaning and enhancing
 dta$pase_drop<-factor(ifelse((dta$pase_0_q=="q_2"|dta$pase_0_q=="q_3"|dta$pase_0_q=="q_4")&dta$pase_06_q=="q_1","yes","no"),levels = c("no","yes"))
 dta$pase_drop[is.na(dta$pase_6)]<-NA

1 PA Decline/archive/predictive_model.Rmd

@@ -12,6 +12,7 @@ knitr::opts_chunk$set(echo = TRUE)
 library(caret)
 library(pROC)
 library(daDoctoR)
+library(dplyr)
 ```
 
 Import

1 PA Decline/archive/regularised model.R

@@ -0,0 +1,6 @@
+## 
+## Regularisation
+## 
+## 
+
+

1 PA Decline/assign_full.R

@@ -0,0 +1,141 @@
+## ItMLiHSmar2022
+## assign_full.R, child script
+## Full model building and analysation for assignment
+## Andreas Gammelgaard Damsbo, agdamsbo@clin.au.dk
+
+## ====================================================================
+## Step 0: data import and wrangling
+## ====================================================================
+
+# source("data_format.R")
+
+## ====================================================================
+## Step 1: settings
+## ====================================================================
+K<-10
+n<-nrow(X)
+set.seed(321)
+
+# Using caret function to ensure both levels represented in all folds
+c<-createFolds(y=y, k = K, list = FALSE, returnTrain = TRUE) 
+
+B<-list()
+auc_train<-auc_test<-c()
+
+catinfo<-levels(y)
+
+cMatTrain<-cMatTest<-table(factor(c(0,0),levels=catinfo),factor(c(0,0),levels=catinfo))
+
+## ====================================================================
+## Step 2: cross validation
+## ====================================================================
+
+set.seed(321)
+## Iterate over partitions
+for (idx1 in 1:K){
+  
+  # Status
+  cat('Processing fold', idx1, 'of', K,'\n')
+  
+  # idx1=1
+  # Get training- and test sets
+  I_train = c!=idx1 ## Creating selection vector of TRUE/FALSE
+  I_test = !I_train
+  
+  Xtrain = X[I_train,]
+  ytrain = y[I_train]
+  Xtest = X[I_test,]
+  ytest = y[I_test]
+  
+  # Z-score standardisation
+  source("standardise.R")
+  list2env(standardise(Xtrain,Xtest,type="cs"),.GlobalEnv) 
+  ## Outputs XtrainSt and XtestSt
+  ## Standardised by centering and scaling
+  
+  
+  ## Model matrices for glmnet
+  # Xmat.train<-model.matrix(~.-1,XtrainSt)
+  # Xmat.test<-model.matrix(~.-1,XtestSt)
+  
+  # Weights
+  ytrain_weight<-as.vector(1 - (table(ytrain)[ytrain] / length(ytrain)))
+  
+  # Fit regularized linear regression model
+  mod<-glm(ytrain~.,
+           data=XtrainSt,
+           weights = ytrain_weight,
+           family = stats::quasibinomial(link = "logit"))
+  
+  # Keep coefficients for plot
+  B[[idx1]] <- mod
+  
+  # Predict
+  yhatTrainProb<-predict(mod, 
+                         newdata = XtrainSt,
+                         type = "response"
+  )
+  
+  yhatTestProb<-predict(mod, 
+                        newdata = XtestSt,
+                        type = "response"
+  )
+  
+  # Compute training and test error
+  yhatTrain = round(yhatTrainProb)
+  yhatTest = round(yhatTestProb)
+  
+  # Make predictions categorical again (instead of 0/1 coding)
+  yhatTrainCat = factor(round(yhatTrainProb),levels=c("0","1"),labels=catinfo,ordered = TRUE)
+  yhatTestCat = factor(round(yhatTestProb),levels=c("0","1"),labels=catinfo,ordered = TRUE)
+  # Compute confusion matrices
+  cMatTrain = cMatTrain + table(ytrain,yhatTrainCat)
+  cMatTest = cMatTest + table(ytest,yhatTestCat)
+  
+  # AUROC
+  suppressMessages(
+    auc_train[idx1]<-auc(ytrain, yhatTrainCat))
+  suppressMessages(
+    auc_test [idx1]<-auc(ytest, yhatTestCat))
+}
+
+## ====================================================================
+# Step 3: creating table of coefficients for inference
+## ====================================================================
+
+confs<-lapply(1:K, function(x){
+  cs<-exp(confint(B[[x]]))
+  lo<-cs[,1]
+  hi<-cs[,2]
+  return(list(lo=lo,hi=hi))
+})
+
+coefs<-apply(Reduce('cbind',  lapply(B,"[[", "coefficients")),1,mean)
+
+unlist(strsplit(names(B[[1]]$coefficients),2))
+
+var.labels<-c(var.labels,'(Intercept)'="Intercept")
+
+ds<-tibble(name=var.labels[match(unlist(strsplit(names(coefs),2)), names(var.labels))],
+           coefs=coefs,
+           OR=round(exp(coefs),3),
+           CIs=paste0("(",
+                      round(apply(Reduce('cbind',  lapply(confs,"[[", "lo")),1,mean),3),
+                      ",",
+                      round(apply(Reduce('cbind',  lapply(confs,"[[", "hi")),1,mean),3),
+                      ")")
+           )
+
+# 
+full_coef_tbl<-ds%>%
+  gt(rowname_col = list(age~"Age"))
+# 
+full_coef_tbl
+
+## ====================================================================
+# Step 4: plotting classification performance
+## ====================================================================
+
+full_cfm<-confusionMatrix(cMatTest)
+full_auc_sum<-summary(auc_test)
+

1 PA Decline/assigndata.csv

@@ -0,0 +1,643 @@
+"pase_0","age","sex","civil","smoke_ever","rtreat","alc","afli","hypertension","diabetes","mrs_0","nihss_c","thrombolysis","pad","thrombechtomy","ami","tci","pase_drop","pase_6","mrs_1","mfi_gen_1","mdi_1","who5_score_1"
+"377.44","76","male","partner","never","Placebo","guideline","no","yes","no","0","2","yes","no","no","yes","no","no","260.52","0","10","6","84"
+"277","49","male","partner","never","Placebo","guideline","no","no","no","0","4","no","no","no","no","no","no","113.11","2","12","11","64"
+"192.4","43","male","alone","never","Placebo","guideline","no","yes","yes","0","2","yes","no","no","no","no","no","123.05","4","12","3","76"
+"30","89","female","alone","ever","Placebo","guideline","yes","no","no","0","3","no","no","no","no","no",NA,NA,NA,NA,NA,NA
+"44.14","80","male","partner","ever","Active","guideline","no","no","no","2","4","no","no","no","no","no","no","135.15","3","16","11","64"
+"128.76","72","male","partner","never","Placebo","guideline","no","yes","no","0","1","no","no","no","no","no",NA,NA,NA,NA,NA,NA
+"224.54","71","female","partner","ever","Placebo","guideline","no","yes","no","0","1","no","no","no","no","no","no","197.78","1","8","1","80"
+"100","66","female","alone","never","Active","guideline","no","no","no","0","4","no","no","yes","no","no","yes","32.36","4","17","14","52"
+"144.8","64","male","partner","never","Placebo","guideline","no","no","no","0","3","no","no","no","no","no","no","191.84","1","14","3","84"
+"136.8","64","male","partner","never","Placebo","guideline","no","yes","no","0","3","no","yes","no","no","no","yes","9.7","2","10","7","36"
+"134.33","65","female","alone","ever","Placebo","guideline","no","yes","yes","0","2","no","no","no","no","no","no","178.97","2","10","4","80"
+"118.2","63","male","partner","never","Active","guideline","no","yes","no","0","9","yes","no","no","no","no","yes","33.14","2","4","3","48"
+"99.28","62","male","partner","never","Active","more","no","yes","no","0","1","no","no","no","no","no","no","209.68","1","15","9","48"
+"101.3","73","male","partner","never","Placebo","more","no","no","no","1","16","yes","no","yes","no","no","yes","34.6","1","14","12","0"
+"75.5","59","female","alone","never","Placebo","guideline","no","no","no","0","5","no","no","no","no","no","no","123.97","2","20","22","44"
+"81","73","male","partner","never","Active","guideline","no","yes","no","0","2","no","no","no","yes","no","no","184.4","1","16","10","44"
+"79.08","70","male","partner","never","Active","guideline","yes","no","no","0","5","yes","no","no","no","no","no","235.75","2","17","9","60"
+"27.2","83","male","partner","never","Active","guideline","no","yes","no","0","3","no","no","no","no","no","no","81","0","6","3","68"
+"173.25","80","male","partner","ever","Active","guideline","no","yes","no","0","5","no","no","no","no","no",NA,NA,NA,NA,NA,NA
+"255.8","63","male","alone","never","Placebo","guideline","no","no","no","0","9","no","no","no","no","no","no","121.4","1","4","5","84"
+"27.2","82","male","alone","never","Active","guideline","no","yes","no","0","3","no","no","no","no","no",NA,NA,NA,NA,NA,NA
+"329.51","72","male","partner","ever","Placebo","guideline","yes","no","no","1","11","yes","no","no","no","no","no","506.35","2","11","2","80"
+"199.91","58","female","alone","ever","Active","guideline","no","yes","no","0","0","no","no","no","no","no",NA,NA,NA,NA,NA,NA
+"218.09","64","male","partner","ever","Active","guideline","no","no","no","0","2","no","no","no","no","no","no","117.25","0","4","1","92"
+"166.8","49","female","partner","ever","Placebo","guideline","no","no","no","0","5","no","no","no","no","no","no","183.58","0","5","6","76"
+"25","99","female","alone","ever","Placebo","guideline","yes","no","no","0","8","yes","no","no","no","no","no","8.82","2","12","14","52"
+"90","79","female","alone","never","Placebo","guideline","no","yes","no","0","2","yes","no","no","yes","yes","no","136.4","0","16","11","96"
+"232.71","60","male","partner","never","Active","guideline","no","yes","no","0","5","no","no","no","no","no","no","228.25","2","12","9","72"
+"208.24","51","male","alone","never","Placebo","guideline","no","no","no","0","10","no","no","no","no","no","no","98.14","2","12","4","76"
+"28.11","77","male","alone","never","Placebo",NA,"yes","yes","no","0","9","no","no","no","no","no","no","8.4","4","10","14","52"
+"116","54","female","partner","never","Active","guideline","no","yes","no","0","6","no","no","no","no","no","no","110.32","0",NA,NA,"0"
+"271.5","71","female","partner","ever","Placebo","guideline","no","yes","no","0","16","yes","no","no","no","no","no","288.88","3","13","10","72"
+"155.8","67","female","alone","never","Placebo","more","no","yes","no","0","1","no","yes","no","no","no","no","207.4","0","6","0","100"
+"116.4","31","male","alone","never","Active","guideline","no","no","no","0","5","no","no","no","no","no","no","81.32","1","4","5","92"
+"88.76","72","female","partner","never","Active","guideline","yes","yes","no","1","5","no","no","no","no","no","no","126.65","1","11","8","64"
+"78.48","71","female","partner","never","Active","guideline","no","no","no","1","15","yes","no","no","no","no","no","152.22","0","4","4","80"
+"98.68","75","female","partner","ever","Active","guideline","no","no","no","0","4","no","no","no","no","no","yes","60.83","2","9","3","84"
+"183.3","78","male","partner","never","Active","guideline","no","no","no","0","2","no","no","no","no","no","no","240.04","1","12","1","76"
+"192.5","74","male","partner","never","Active","guideline","no","no","no","0","3","yes","no","no","no","no",NA,NA,NA,NA,NA,NA
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+"229.2","50","male","partner","never","Placebo","guideline","no","no","no","0","3","no","no","no","no","no",NA,NA,"2","11","16","76"
+"197.15","44","male","partner","ever","Placebo","guideline","no","no","no","0","7","yes","no","no","no","no","no","245.75","1","8","6","76"
+NA,"63","male","partner","never","Placebo","guideline","no","no","no","0","2","yes","no","no","no","no",NA,NA,NA,NA,NA,NA

1 PA Decline/data_format.R

@@ -0,0 +1,277 @@
+## ItMLiHSmar2022
+## data_format.R, child script
+## Data formatting and handling
+## Andreas Gammelgaard Damsbo, agdamsbo@clin.au.dk
+## 
+## Now modified to use in publication
+## 
+
+## ====================================================================
+# Step 1: Loading libraries
+## ====================================================================
+
+library(Hmisc)
+library(dplyr)
+library(daDoctoR)
+library(tidyselect)
+
+## ====================================================================
+# Step 2: Loading data
+## ====================================================================
+ 
+# rm(list = ls()) # Clear
+# setwd("/Users/au301842/Library/CloudStorage/OneDrive-Personligt/Research/ISLcourse/") 
+# dta<-read.csv("/Users/au301842/Library/CloudStorage/OneDrive-Personligt/Research/ISLcourse/assigndata.csv")
+
+## ====================================================================
+# Step 3: Formatting variables
+## ====================================================================
+
+dta <- export %>% 
+  # as_tibble()%>%
+  mutate(any_rep=factor(ifelse(thrombolysis=="yes"|thrombechtomy=="yes","yes","no")), # If not noted, no therapy was received
+         male_sex= factor(ifelse(sex=="female","no","yes")),
+         # smoke_ever=factor(ifelse(smoke_ever=="never","no","yes")),
+         civil=factor(ifelse(civil=="partner","no","yes")), # Sets "yes" for not-cohabiting
+         rtreat=factor(ifelse(rtreat=="Placebo","no","yes")), # "Yes" receives active treatment
+         alc=factor(ifelse(alc=="more","yes","no")), # Yes for more than guideline
+         pase_0=as.numeric(pase_0),
+         pase_6=as.numeric(pase_6),
+         across(c("diabetes",
+                  "hypertension",
+                  "smoker",
+                  # "smoker_prev",
+                  "afli",
+                  "pad",
+                  "ami",
+                  "tci",
+                  "mrs_0",
+                  "mrs_1"),as.factor),
+         across(c("nihss_c",
+                  "age",
+                  "mdi_1", # For "enriched" analysis
+                  "who5_score_1",
+                  "mfi_gen_1",
+                  "mfi_phys_1",
+                  "mfi_act_1",
+                  "mfi_mot_1",
+                  "mfi_men_1"),as.numeric )
+         )%>% 
+  select(-c(sex))
+  
+  
+## ====================================================================
+# Step 4: Defining outcome
+## ====================================================================
+
+## Changed to step 7
+## This is to perform proper quantile split based on actually included.
+
+## ====================================================================
+# Step 5: Ordering variables
+## ====================================================================
+
+
+dta<-select(dta,c(age,
+                  male_sex,
+                  civil,
+                  pase_0,
+                  smoker,
+                  # smoker_prev,
+                  alc,
+                  afli,
+                  hypertension,
+                  diabetes,
+                  pad,
+                  ami,
+                  tci,
+                  mrs_0,
+                  nihss_c,
+                  # thrombolysis,
+                  # thrombechtomy,
+                  any_rep,
+                  rtreat,
+                  pase_6, 
+                  mrs_1,
+                  mfi_gen_1,
+                  mfi_phys_1,
+                  mfi_act_1,
+                  mfi_mot_1,
+                  mfi_men_1,
+                  mdi_1, 
+                  who5_score_1
+                  ))
+
+## ====================================================================
+# Step 6: Labeling
+## ====================================================================
+
+var.labels = c(age="Age",
+               male_sex="Male",
+               civil="Living alone",
+               pase_0="Pre-stroke PASE score",
+               pase_6="Six month PASE score",
+               smoker="Daily or occasinally smoking",
+               # smoker_prev="Previous habbit of smoking",
+               alc="More alcohol than recommendation",
+               afli="Known AFIB",
+               hypertension="Known hypertension",
+               diabetes="Known diabetes",
+               pad="Known PAD",
+               ami="Previous MI",
+               tci="Previous TIA",
+               mrs_0="Pre-stroke mRS  [-1]",
+               nihss_c="Acute NIHSS score",
+               thrombolysis="Acute thrombolysis",
+               thrombechtomy="Acute thrombechtomy",
+               any_rep="Any reperfusion therapy",
+               rtreat="Active trial treatment",
+               mrs_1="One month mRS [-1]",
+               mfi_gen_1="One month MFI (General fatigue)",
+               mfi_phys_1="One month MFI (Physical fatigue)",
+               mfi_act_1="One month MFI (Reduced activity)",
+               mfi_mot_1="One month MFI (Reduced motivation)",
+               mfi_men_1="One month MFI (Mental fatigue)",
+               mdi_1="One month MDI",
+               who5_score_1="One month WHO5",
+               pase_decl_rel_fac="PASE score difference, relative F",
+               pase_decl_abs_fac="PASE score difference, absolute F",
+               pase_drop_fac="PASE first quartile drop F",
+               pase_diff="PASE absolute decline",
+               pase_decl_rel="PASE relative decline",
+               pase_0_cut="PASE 0 quartiles",
+               pase_6_cut="PASE 6 quartiles")
+
+## Labelling based on outcome flag
+if (pout=="decl_rel"|pout=="decl_abs"){
+  var.labels = c(var.labels,group="PASE decline")}
+if (pout=="drop"){
+  var.labels = c(var.labels,group="PASE drop")}
+
+## ====================================================================
+# Step 7: final data export
+## ====================================================================
+
+data_summary<-summary(dta)
+
+# Saving "old" factorised variables
+sel<-sapply(dta,is.factor)
+# Reformatting factors as 1/2 for analysis
+dta<-dta |> 
+  mutate(across(where(is.factor), as.numeric))|> # Turning factors into 1(no) or 2(yes) for model. Numbered alphabetically.
+  mutate(across(matches(colnames(dta)[sel]), as.factor),
+         across(starts_with("pase_"), as.numeric))
+
+# Filtering out non-PASE
+X_tbl<-dta |>
+  filter(!is.na(pase_0),!is.na(pase_6))
+
+nrow(X_tbl)
+
+# Defining possible outcome meassures. Keeping in df for characterisation
+X_tbl <- X_tbl|>
+  mutate(## Relative decline
+         pase_diff=(pase_0-pase_6),
+         pase_decl_rel = pase_diff/pase_0*100,
+         pase_decl_rel_fac=factor(ifelse(pase_decl_rel>=rel_dif,"yes","no")),
+         ## Absolute decline
+         pase_decl_abs_fac=factor(ifelse(pase_diff>=abs_dif,"yes","no")),
+         ## Drop
+         pase_0_cut=quantile_cut(as.numeric(pase_0),
+                                 groups=4,
+                                 group.names = c(as.character(1:4)),
+                                 y=as.numeric(pase_0),
+                                 ordered.f = TRUE,
+                                 inc.outs = TRUE, 
+                                 detail.lst=FALSE),
+         pase_6_cut=quantile_cut(as.numeric(pase_6),
+                                 groups=4,
+                                 group.names = c(as.character(1:4)),
+                                 y=as.numeric(pase_0),
+                                 ordered.f = TRUE,
+                                 inc.outs = TRUE, 
+                                 detail.lst=FALSE),
+         pase_drop_fac=factor(ifelse(pase_6_cut==1&pase_0_cut!=1,"yes","no")))
+
+label(X_tbl) = as.list(var.labels[match(names(X_tbl), names(var.labels))])
+
+# Setting final primary output from "pout"
+if (pout=="decl_rel"){
+  X_tbl <- X_tbl|>
+    mutate(group=pase_decl_rel_fac)
+  
+  X_tbl_f <- X_tbl|>
+    filter(pase_0!=0)|>
+    select(-starts_with("pase_"))
+}
+
+if (pout=="decl_abs"){
+  X_tbl <- X_tbl|>
+    mutate(group=pase_decl_rel_fac)
+  
+  X_tbl_f <- X_tbl|>
+    filter(pase_0>=abs_dif)|>
+    select(-starts_with("pase_"))
+}
+
+if (pout=="drop"){
+  X_tbl <- X_tbl|>
+    mutate(group=pase_drop_fac)
+  
+  print(quantile(as.numeric(X_tbl$pase_0),na.rm=T))
+  print(quantile(as.numeric(X_tbl$pase_6),na.rm=T))
+  print(summary(X_tbl$pase_0_cut))
+  
+  X_tbl_f <- X_tbl|>
+    filter(pase_0_cut!=1)|>
+    select(-starts_with("pase_"))
+}
+
+# Excluding one month measures for primary analysis and setting df for table one
+X_tbl_f <- X_tbl_f |> 
+  select(-c(who5_score_1,
+            mdi_1,
+            mrs_1,
+            starts_with("mfi_"))) # Left out of model as no present in drop-group
+
+# Dropping non-complete for analysis
+Xy <- X_tbl_f|> 
+  na.omit()|> # Keeping only complete observations
+  select(-c(tci) # Left out of model as no present in drop-group
+  )|>
+  mutate(mrs_0=factor(ifelse(mrs_0==1,1,2))) # Sets binary mRS 0 to include in glmnet, 0 or above
+
+label(Xy) = as.list(var.labels[match(names(Xy), names(var.labels))])
+
+X<-dplyr::select(Xy,-c(group, -starts_with("pase_")) # Exclude primary outcome
+                 )
+y<-Xy$group
+
+
+## ====================================================================
+# Secondary analysis
+## ====================================================================
+
+
+dta_s<-X_tbl|>
+  select(-c(tci),
+         -starts_with("pase_"))|> 
+  na.omit()|>
+  mutate(mrs_0=factor(ifelse(mrs_0==1,1,2)),# Sets binary mRS 0 to include in glmnet, 0 or above
+         mrs_1=factor(ifelse(mrs_1==1,1,2)))# Sets binary mRS 1 to include in glmnet, 0 or above
+
+label(dta_s) = as.list(var.labels[match(names(dta_s), names(var.labels))])
+
+## ====================================================================
+# Step 8: Loading rest of libraries
+## ====================================================================
+
+library(tidyverse)
+library(patchwork)
+library(caret)
+library(glmnet)
+library(leaps)
+library(pROC)
+library(gt)
+library(gtsummary)
+library(dplyr)

1 PA Decline/data_set.R

@@ -0,0 +1,49 @@
+## ItMLiHS assignment data set
+
+export<-read.csv("/Volumes/Data/exercise/source/background.csv",colClasses = "character", na.strings = c("NA","","unknown"))
+
+export<-export[,c("pase_0",
+               "age",
+               "sex",
+               "civil",
+               "smoke_ever", 
+               "smoker",
+               "rtreat",
+               "alc",
+               "afli",
+               "hypertension",
+               "diabetes",
+               "mrs_0",
+               "nihss_c",
+               "thrombolysis",
+               "pad", 
+               "thrombechtomy", 
+               "ami", 
+               "tci", 
+               "pase_6", 
+               "mrs_1", 
+               "mfi_gen_1", 
+               "mfi_phys_1", 
+               "mfi_act_1", 
+               "mfi_mot_1", 
+               "mfi_men_1",
+               "mdi_1",
+               "who5_score_1")]
+
+export$diabetes[is.na(export$diabetes)]<-"no"
+export$diabetes[is.na(export$hypertension)]<-"no"
+export$thrombolysis[is.na(export$thrombolysis)]<-"no"
+export$thrombechtomy[is.na(export$thrombechtomy)]<-"no"
+export$pad[is.na(export$pad)]<-"no"
+export$ami[is.na(export$ami)]<-"no"
+# export$smoker_prev <- ifelse(export$smoker=="3","yes","no")
+export$smoker <- ifelse(export$smoker=="1","yes","no")
+export$smoker[is.na(export$smoker)] <- "no"
+# export$mrs_0[export$mrs_0==3]<-NA
+
+
+
+# export<-na.omit(export)
+
+export
+# write.csv(export,"/Users/au301842/Library/CloudStorage/OneDrive-Personligt/Research/ISLcourse/assigndata.csv",row.names = FALSE)

1 PA Decline/dataset_redcap.R

@@ -0,0 +1,138 @@
+# Data
+## Import from previous work
+# dta<-read.csv("/Volumes/Data/exercise/source/background.csv",na.strings = c("NA","","unknown"),colClasses = "character")
+
+library(REDCapR)
+library(lubridate)
+library(dplyr)
+library(daDoctoR)
+
+# source("https://raw.githubusercontent.com/agdamsbo/daDoctoR/master/R/dob_extract_cpr_function.R")
+
+dta <- redcap_read_oneshot(
+  redcap_uri   = "https://redcap.au.dk/api/",
+  token        = read.csv("/Users/au301842/talos_redcap_token.csv",header = FALSE)[[1]],
+  fields       = c("talos_basis02a", #Indlæggelsesdato
+                   "cpr",
+                   "talos_nihss16_0", #Akut NIHSS
+                   "basis_kon", 
+                   "reg_hojde",  #Alle fra "reg(ister/DAP)"
+                   "reg_vaegt", 
+                   "reg_vaegt_anslaaet", 
+                   "reg_rygning", 
+                   "reg_alkohol", 
+                   "reg_civil", 
+                   "reg_bolig", 
+                   "reg_diabetes", 
+                   "reg_hyperten", 
+                   "reg_perifer_arteriel", 
+                   "reg_atriefli", 
+                   "reg_ami", 
+                   "reg_tidl_tci", 
+                   "reg_trombolyse", 
+                   "reg_trombektomi",
+                   "rtreat" #Trial treatment
+                   )
+)$data |>
+  mutate(age=time_length(talos_basis02a-dob_extract_cpr(cpr),
+                         unit="year")
+         )|>
+  select(!c("cpr"))
+
+
+
+
+## Cleaning and enhancing
+dta$pase_drop<-factor(ifelse((dta$pase_0_q=="q_2"|dta$pase_0_q=="q_3"|dta$pase_0_q=="q_4")&dta$pase_06_q=="q_1","yes","no"),levels = c("no","yes"))
+dta$pase_drop[is.na(dta$pase_6)]<-NA
+dta$pase_drop[is.na(dta$pase_0)]<-NA
+
+## Selection of data set and formatting
+library(dplyr)
+dta_f<-dta %>% filter(pase_0_q != "q_1" & !is.na(pase_drop))
+
+
+variable_names<-c("age","sex","weight","height",
+                     "bmi",
+                     "smoke_ever",
+                     "civil",
+                     "diabetes", 
+                     "hypertension",
+                     "pad", 
+                     "afli",  
+                     "ami", 
+                     "tci",
+                     "nihss_0",
+                     "thrombolysis", 
+                     "thrombechtomy",
+                     "rep_any","pase_0_q","pase_drop")
+
+
+library(daDoctoR)
+dta2<-dta_f[,variable_names]
+
+dta2<-col_num(c("age","weight","height","bmi","nihss_0"),dta2)
+dta2<-col_fact(c("sex","smoke_ever","civil","diabetes", "hypertension","pad", "afli",  "ami", "tci","thrombolysis", "thrombechtomy","rep_any","pase_0_q","pase_drop"),dta2)
+
+## Partitioning
+library(caret)
+set.seed(100)
+
+## Step 1: Get row numbers for the training data
+trainRowNumbers <- createDataPartition(dta2$pase_drop, p=0.8, list=FALSE)
+
+## Step 2: Create the training  dataset
+trainData <- dta2[trainRowNumbers,]
+
+## Step 3: Create the test dataset
+testData <- dta2[-trainRowNumbers,]
+y_test = testData[,"pase_drop"]
+
+# Store X and Y for later use.
+x = trainData %>% select(!matches("pase_drop"))
+y = trainData[,"pase_drop"]
+
+# Normalization and dummy binaries
+
+# One-Hot Encoding
+# Creating dummy variables is converting a categorical variable to as many binary variables as here are categories.
+dummies_model <- dummyVars(pase_drop ~ ., data=trainData)
+
+# Create the dummy variables using predict. The Y variable (Purchase) will not be present in trainData_mat.
+trainData_mat <- predict(dummies_model, newdata = trainData)
+
+# # Convert to dataframe
+trainData <- data.frame(trainData_mat)
+
+# # See the structure of the new dataset
+str(trainData)
+
+dummies_model <- dummyVars(pase_drop ~ ., data=testData)
+testData_mat <- predict(dummies_model, newdata = testData)
+testData <- data.frame(testData_mat)
+preProcess_range_model <- preProcess(testData, method='range')
+testData <- predict(preProcess_range_model, newdata = testData)
+testData$pase_drop<-y_test
+
+# Imputation
+
+library(RANN)  # required for knnInpute
+preProcess_missingdata_model <- preProcess(trainData, method='knnImpute')
+# preProcess_missingdata_model
+
+trainData <- predict(preProcess_missingdata_model, newdata = trainData)  # Giver fejl??
+anyNA(trainData)
+
+# skimr::skim(trainData)
+# skimr::skim(x)
+
+preProcess_range_model <- preProcess(trainData, method='range')
+trainData <- predict(preProcess_range_model, newdata = trainData)
+
+# Append the Y variable
+trainData$pase_drop <- y
+
+
+# Export
+write.csv(trainData,"/Users/au301842/PhysicalActivityandStrokeOutcome/data/trainData.csv",row.names = FALSE)
+write.csv(testData,"/Users/au301842/PhysicalActivityandStrokeOutcome/data/testData.csv",row.names = FALSE)

1 PA Decline/regular_fun.R

@@ -0,0 +1,117 @@
+## ItMLiHSmar2022
+## regular_fun.R, child script
+## Regularisation model building function
+## Andreas Gammelgaard Damsbo, agdamsbo@clin.au.dk
+## 
+## Now modified to use in publication
+## 
+
+regular_fun<-function(X,y,K,lambdas,alpha){
+n<-nrow(X)
+set.seed(321)
+
+# Using caret function to ensure both levels represented in all folds
+c<-createFolds(y=y, k = K, list = FALSE, returnTrain = TRUE) 
+
+B<-yhatTestProbKeep<-list()
+accTrain<-accTest<-err_train<-err_test<-auc_train<-auc_test<-matrix(nrow = K,ncol = length(lambdas))
+
+catinfo<-levels(y)
+
+cMatTrain<-cMatTest<-table(true=factor(c(0,0),levels=catinfo),pred=factor(c(0,0),levels=catinfo))
+
+
+## Iterate over partitions
+for (idx1 in 1:K){
+  
+  # Status
+  cat('Processing fold', idx1, 'of', K,'\n')
+  
+  # idx1=1
+  # Get training- and test sets
+  I_train = c!=idx1 ## Creating selection vector of TRUE/FALSE
+  I_test = !I_train
+  
+  Xtrain = X[I_train,]
+  ytrain = y[I_train]
+  Xtest = X[I_test,]
+  ytest = y[I_test]
+  
+  
+  ## Model matrices for glmnet
+  ## Using the complicated approach not to include first level.
+  # Xmat.train<-model.matrix(~ .-1, data=Xtrain, 
+  #              contrasts.arg = lapply(Xtrain[,sapply(Xtrain, is.factor)], 
+  #                                     contrasts, contrasts=T))
+  # Xmat.test<-model.matrix(~ .-1, data=Xtest, 
+  #                contrasts.arg = lapply(Xtest[,sapply(Xtest, is.factor)], 
+  #                                       contrasts, contrasts=T))
+  
+  # Xmat.train<-model.matrix(~.-1,Xtrain)
+  # Xmat.test<-model.matrix(~.-1,Xtest)
+  
+  # Weights
+  ytrain_weight<-as.vector(1 - (table(ytrain)[ytrain] / length(ytrain)))
+  # ytest_weight<-as.vector(1 / (table(ytest)[ytest] / length(ytest)))
+  
+  # Fit regularized linear regression model
+  mod<-glmnet(Xtrain, ytrain, 
+              alpha = alpha,        ## Alpha = 1 for lasso
+              lambda = lambdas, ## Setting lambdas
+              standardize = TRUE, ## Scales and centers
+              weights = ytrain_weight,
+              family = "binomial"
+              )
+  
+  # Keep coefficients for plot
+  B[[idx1]] <- as.matrix(coef(mod))
+  
+  # Iterate over regularization strengths to compute training- and test
+  # errors for individual regularization strengths.
+  for (idx2 in 1:length(lambdas)){
+    # idx2=1
+    
+    # Predict
+    yhatTrainProb<-predict(mod, 
+                           s = lambdas[idx2], 
+                           newx = data.matrix(Xtrain),
+                           type = "response"
+    )
+    
+    yhatTestProb<-predict(mod, 
+                          s = lambdas[idx2], 
+                          newx = data.matrix(Xtest),
+                          type = "response"
+    )
+    
+    # Compute training and test error
+    yhatTrain = round(yhatTrainProb)
+    yhatTest = round(yhatTestProb)
+    
+    # Make predictions categorical again (instead of 0/1 coding)
+    yhatTrainCat = factor(round(yhatTrainProb),levels=c("0","1"),labels=catinfo,ordered = TRUE)
+    yhatTestCat = factor(round(yhatTestProb),levels=c("0","1"),labels=catinfo,ordered = TRUE)
+    
+    # Evaluate classifier performance
+    # Accuracy
+    # accTrain[idx1,idx2] <- sum(yhatTrainCat==ytrain)/length(ytrain)
+    # accTest [idx1,idx2] <- sum(yhatTestCat==ytest)/length(ytest)
+    # #
+    # # Error rate
+    # err_train[idx1,idx2] =  1 - accTrain[idx1,idx2]
+    # err_test [idx1,idx2] =   1 - accTest[idx1,idx2]
+    
+    # AUROC
+    suppressMessages(
+      auc_train[idx1,idx2]<-auc(ytrain, yhatTrainCat))
+    suppressMessages(
+      auc_test [idx1,idx2]<-auc(ytest, yhatTestCat))
+    
+    # Compute confusion matrices
+    cMatTrain = cMatTrain + table(true=ytrain,pred=yhatTrainCat)
+    cMatTest = cMatTest + table(true=ytest,pred=yhatTestCat)
+  }
+}
+ls<-list(mod=mod,B=B,auc_train=auc_train,auc_test=auc_test,cMatTrain=cMatTrain,cMatTest=cMatTest)
+return(ls)
+}

1 PA Decline/regularisation_steps.R

@@ -0,0 +1,142 @@
+## ItMLiHSmar2022
+## regularisation_steps.R, child script
+## Regularised model building and analysation for assignment
+## Andreas Gammelgaard Damsbo, agdamsbo@clin.au.dk
+## 
+## Now modified to use in publication
+## 
+
+## ====================================================================
+## Step 0: data import and wrangling
+## ====================================================================
+
+setwd("/Users/au301842/PhysicalActivityandStrokeOutcome/1 PA Decline/")
+
+# source("data_format.R")
+y1<-factor(as.integer(y)-1) ## Outcome is required to be factor of 0 or 1.
+
+
+## ====================================================================
+## Step 1: settings
+## ====================================================================
+
+## Folds
+K=10
+set.seed(3)
+c<-caret::createFolds(y=y, 
+                      k = K, 
+                      list = FALSE, 
+                      returnTrain = TRUE) # Foldids for alpha tuning
+
+## Defining tuning parameters
+lambdas=2^seq(-10, 5, 1)
+alphas<-seq(0,1,.1)
+
+## Weights for models
+weighted=TRUE
+if (weighted == TRUE) {
+  wght<-as.vector(1 - (table(y)[y] / length(y)))
+} else {
+  wght <- rep(1, nrow(y))
+}
+
+
+## Standardise numeric
+## Centered and 
+
+
+
+## ====================================================================
+## Step 2: all cross validations for each alpha
+## ====================================================================
+
+library(furrr)
+library(purrr)
+library(doMC)
+registerDoMC(cores=6)
+
+# Nested CVs with analysis for all lambdas for each alpha
+# 
+set.seed(3)
+cvs <- future_map(alphas, function(a){
+  cv.glmnet(model.matrix(~.-1,X),
+            y1,
+            weights = wght,
+            lambda=lambdas, 
+            type.measure = "deviance", # This is standard measure and recommended for tuning
+            foldid = c, # Per recommendation the folds are kept for alpha optimisation
+            alpha=a,
+            standardize=TRUE,
+            family=quasibinomial,
+            keep=TRUE) # Same as binomial, but not as picky
+})
+
+## ====================================================================
+# Step 3: optimum lambda for each alpha
+## ====================================================================
+
+
+# For each alpha, lambda is chosen for the lowest meassure (deviance)
+each_alpha <- sapply(seq_along(alphas), function(id) {
+  each_cv <- cvs[[id]]
+  alpha_val <- alphas[id]
+  index_lmin <- match(each_cv$lambda.min, 
+                      each_cv$lambda)
+  c(lamb = each_cv$lambda.min, 
+    alph = alpha_val,
+    cvm = each_cv$cvm[index_lmin])
+})
+
+# Best lambda
+best_lamb <- min(each_alpha["lamb", ])
+
+# Alpha is chosen for best lambda with lowest model deviance, each_alpha["cvm",]
+best_alph <- each_alpha["alph",][each_alpha["cvm",]==min(each_alpha["cvm",]
+                                                         [each_alpha["lamb",] %in% best_lamb])]
+
+## https://stackoverflow.com/questions/42007313/plot-an-roc-curve-in-r-with-ggplot2
+p_roc<-roc.glmnet(cvs[[1]]$fit.preval, newy = y)[[match(best_alph,alphas)]]|> # Plots performance from model with best alpha
+  ggplot(aes(FPR,TPR)) + 
+  geom_step() +
+  coord_cartesian(xlim=c(0,1), ylim=c(0,1)) +
+  geom_abline()+
+  theme_bw()
+
+## ====================================================================
+# Step 4: Creating the final model
+## ====================================================================
+
+source("regular_fun.R") # Custom function
+optimised_model<-regular_fun(X,y1,K,lambdas=best_lamb,alpha=best_alph) 
+# With lambda and alpha specified, the function is just a k-fold cross-validation wrapper, 
+# but keeps model performance figures from each fold.
+
+list2env(optimised_model,.GlobalEnv)
+# Function outputs a list, which is unwrapped to Env.
+# See source script for reference.
+
+## ====================================================================
+# Step 5: creating table of coefficients for inference
+## ====================================================================
+
+Bmatrix<-matrix(unlist(B),ncol=10)
+Bmedian<-apply(Bmatrix,1,median)
+Bmean<-apply(Bmatrix,1,mean)
+
+reg_coef_tbl<-tibble(
+  name = c("Intercept",Hmisc::label(X)),
+  medianX = round(Bmedian,5),
+  ORmed = round(exp(Bmedian),5),
+  meanX = round(Bmean,5),
+  ORmea = round(exp(Bmean),5))%>%
+  # arrange(desc(abs(medianX)))%>%
+  gt()
+
+reg_coef_tbl
+
+## ====================================================================
+# Step 6: plotting predictive performance
+## ====================================================================
+
+reg_cfm<-confusionMatrix(cMatTest)
+reg_auc_sum<-summary(auc_test[,1])

1 PA Decline/standardise.R

@@ -0,0 +1,41 @@
+## ItMLiHSmar2022
+## standardise.R, child script
+## Data standardisation, returns list
+## Andreas Gammelgaard Damsbo, agdamsbo@clin.au.dk
+
+standardise<-function(train,test,type){
+  # From:
+  # https://datascience.stackexchange.com/questions/13971/standardization-normalization-test-data-in-r
+  
+  sel<-sapply(Xtrain,is.numeric) # Deciding which to stadardise (only numeric)
+  cnm<-colnames(Xtrain) # Saving column names for ordering
+  
+  # Subsetting
+  
+  ## Data to treat
+  train.tr<-train[,sel]
+  test.tr<-test[,sel]
+  
+  ## Data to save
+  train.sv<-train[,!sel]
+  test.sv<-test[,!sel]
+  
+  # Calculate mean and SD of train data
+  trainMean <- sapply(train.tr,mean)
+  trainSd <- sapply(train.tr,sd)
+  
+  if (type=="c"){
+    ## centered
+    norm.trainData<-sweep(train.tr, 2L, trainMean) # using the default "-" to subtract mean column-wise   
+    norm.testData<-sweep(test.tr, 2L, trainMean) # using the default "-" to subtract mean column-wise   
+  }
+ 
+  if (type=="cs"){
+    ## centered AND scaled (Z-score standardisation)
+    norm.trainData<-sweep(sweep(train.tr, 2L, trainMean), 2, trainSd, "/")
+    norm.testData<-sweep(sweep(test.tr, 2L, trainMean), 2, trainSd, "/")
+  }
+  return(list(XtrainSt=cbind(norm.trainData,train.sv)[,cnm], # Reordering columns to original
+              XtestSt=cbind(norm.testData,test.sv)[,cnm]))
+}
+

1 PA Decline/table1.RTF

@@ -0,0 +1,718 @@
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+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 1}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 348 (89%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 284 (90%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 64 (83%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 2}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 32 (8.2%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 25 (8.0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 7 (9.1%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 3}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10 (2.6%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 5 (1.6%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 5 (6.5%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 4}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 1 (0.3%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 1 (1.3%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Acute NIHSS score}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 388}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 3.0 (2.0;5.0) [0.0,32.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 3.0 (2.0;5.0) [0.0,32.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 3.0 (2.0;7.0) [0.0,22.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Any reperfusion therapy}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 151 (39%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 123 (39%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 28 (36%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Active trial treatment}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 190 (49%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 147 (47%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 43 (56%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Six month PASE score}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 159 (101;225) [0,486]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 180 (135;240) [86,486]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 57 (34;68) [0,83]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month mRS [-1]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 390}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 157 (40%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 136 (43%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 21 (27%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MFI (General fatigue)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 378}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10.0 (7.0;13.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 10.0 (7.0;13.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 12.0 (8.0;15.2) [4.0,20.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MFI (Physical fatigue)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 376}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10.0 (7.0;14.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 9.0 (7.0;13.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 13.0 (7.8;17.0) [4.0,20.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MFI (Reduced activity)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 377}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10.0 (7.0;13.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 9.0 (6.0;12.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 12.0 (9.0;16.0) [4.0,20.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MFI (Reduced motivation)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 378}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 7.00 (5.00;9.00) [4.00,20.00]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 7.00 (5.00;9.00) [4.00,16.00]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 8.00 (5.00;12.00) [4.00,20.00]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MFI (Mental fatigue)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 373}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 7.0 (4.0;11.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 7.0 (4.0;10.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 8.0 (5.0;12.0) [4.0,20.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MDI}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 381}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 5.0 (3.0;9.0) [0.0,45.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 5.0 (2.0;8.0) [0.0,37.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 8.0 (4.0;15.0) [0.0,45.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month WHO5}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 385}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 76 (64;88) [0,100]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 76 (64;88) [0,100]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 70 (48;88) [0,100]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE absolute decline}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 19 (-43;69) [-272,407]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 1 (-55;38) [-272,349]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 77 (45;127) [7,407]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE relative decline}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10 (-25;38) [-221,100]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 1 (-34;22) [-221,68]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 60 (41;75) [8,100]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE score difference, relative F}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE score difference, absolute F}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE 0 quartiles}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 130 (33%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 83 (26%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 47 (61%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE 6 quartiles}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 82 (21%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 82 (26%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE first quartile drop F}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 {\super \i 1}Median (25%;75%) [Minimum,Maximum]; n (%)}}\cell
+
+\row
+
+}

1 PA Decline/table1_overall.RTF

@@ -0,0 +1,718 @@
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+\paperw12240\paperh15840\widowctrl\ftnbj\fet0\sectd\linex0
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+\margl1440\margr1440\margt1440\margb1440
+\headery720\footery720\fs20
+
+\trowd\trrh0\trhdr
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf1 \cellx1872
+\intbl {\f0 {\f0\fs20 {\b Characteristic}}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf1 \cellx3744
+\intbl {\f0 {\f0\fs20 {\b N}}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf1 \cellx5616
+\intbl {\f0 {\f0\fs20 {\b Overall}, N = 391{\super \i 1}}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf1 \cellx7488
+\intbl {\f0 {\f0\fs20 {\b no}, N = 314{\super \i 1}}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf1 \cellx9360
+\intbl {\f0 {\f0\fs20 {\b yes}, N = 77{\super \i 1}}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Age}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 66 (57;74) [24,90]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 64 (56;72) [24,87]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 72 (66;79) [31,90]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Male}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 275 (70%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 227 (72%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 48 (62%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Living alone}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 385}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 107 (28%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 70 (23%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 37 (49%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Pre-stroke PASE score}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 167 (122;225) [85,574]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 174 (135;231) [85,574]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 123 (103;184) [85,407]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Daily or occasinally smoking}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 119 (30%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 90 (29%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 29 (38%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 More alcohol than recommendation}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 381}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 34 (8.9%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 25 (8.2%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 9 (12%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Known AFIB}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 386}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 57 (15%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 45 (15%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 12 (16%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Known hypertension}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 387}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 184 (48%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 139 (45%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 45 (59%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Known diabetes}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 37 (9.5%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 29 (9.2%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 8 (10%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Known PAD}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 12 (3.1%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 8 (2.5%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 4 (5.2%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Previous MI}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 33 (8.4%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 24 (7.6%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 9 (12%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Previous TIA}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 386}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10 (2.6%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 8 (2.6%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 2 (2.7%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Pre-stroke mRS  [-1]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 1}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 348 (89%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 284 (90%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 64 (83%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 2}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 32 (8.2%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 25 (8.0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 7 (9.1%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 3}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10 (2.6%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 5 (1.6%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 5 (6.5%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 4}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 1 (0.3%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 1 (1.3%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Acute NIHSS score}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 388}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 3.0 (2.0;5.0) [0.0,32.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 3.0 (2.0;5.0) [0.0,32.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 3.0 (2.0;7.0) [0.0,22.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Any reperfusion therapy}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 151 (39%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 123 (39%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 28 (36%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Active trial treatment}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 190 (49%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 147 (47%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 43 (56%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 Six month PASE score}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 159 (101;225) [0,486]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 180 (135;240) [86,486]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 57 (34;68) [0,83]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month mRS [-1]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 390}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 157 (40%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 136 (43%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 21 (27%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MFI (General fatigue)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 378}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10.0 (7.0;13.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 10.0 (7.0;13.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 12.0 (8.0;15.2) [4.0,20.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MFI (Physical fatigue)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 376}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10.0 (7.0;14.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 9.0 (7.0;13.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 13.0 (7.8;17.0) [4.0,20.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MFI (Reduced activity)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 377}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10.0 (7.0;13.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 9.0 (6.0;12.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 12.0 (9.0;16.0) [4.0,20.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MFI (Reduced motivation)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 378}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 7.00 (5.00;9.00) [4.00,20.00]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 7.00 (5.00;9.00) [4.00,16.00]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 8.00 (5.00;12.00) [4.00,20.00]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MFI (Mental fatigue)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 373}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 7.0 (4.0;11.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 7.0 (4.0;10.0) [4.0,20.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 8.0 (5.0;12.0) [4.0,20.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month MDI}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 381}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 5.0 (3.0;9.0) [0.0,45.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 5.0 (2.0;8.0) [0.0,37.0]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 8.0 (4.0;15.0) [0.0,45.0]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 One month WHO5}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 385}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 76 (64;88) [0,100]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 76 (64;88) [0,100]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 70 (48;88) [0,100]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE absolute decline}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 19 (-43;69) [-272,407]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 1 (-55;38) [-272,349]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 77 (45;127) [7,407]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE relative decline}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 10 (-25;38) [-221,100]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 1 (-34;22) [-221,68]}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 60 (41;75) [8,100]}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE score difference, relative F}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE score difference, absolute F}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE 0 quartiles}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 130 (33%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 83 (26%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 47 (61%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE 6 quartiles}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 82 (21%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 82 (26%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1872
+\intbl {\f0 {\f0\fs20 PASE first quartile drop F}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3744
+\intbl {\f0 {\f0\fs20 391}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5616
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7488
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 0 (0%)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 {\super \i 1}Median (25%;75%) [Minimum,Maximum]; n (%)}}\cell
+
+\row
+
+}

1 PA Decline/table2.RTF

@@ -0,0 +1,491 @@
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+
+\paperw12240\paperh15840\widowctrl\ftnbj\fet0\sectd\linex0
+\lndscpsxn
+\margl1440\margr1440\margt1440\margb1440
+\headery720\footery720\fs20
+
+\trowd\trrh0\trhdr
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0\cf1 {\f0\fs20 Model coefficients} {\f0\fs20\i\super } \line {\f0\fs20 Combined table of both full and regularised model coefficients} {\f0\fs20\i\super }}\cell
+
+\row
+
+\trowd\trrh0\trhdr
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmgf \cellx2340
+\intbl {\f0 {\f0\fs20 Regularised model, (a=1, l=0.031)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmrg \cellx3510
+\intbl {\f0 {\f0\fs20 Regularised model, (a=1, l=0.031)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmrg \cellx4680
+\intbl {\f0 {\f0\fs20 Regularised model, (a=1, l=0.031)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmrg \cellx5850
+\intbl {\f0 {\f0\fs20 Regularised model, (a=1, l=0.031)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmgf \cellx7020
+\intbl {\f0 {\f0\fs20 Full model}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmrg \cellx8190
+\intbl {\f0 {\f0\fs20 Full model}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmrg \cellx9360
+\intbl {\f0 {\f0\fs20 Full model}}\cell
+
+\row
+
+\trowd\trrh0\trhdr
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx1170
+\intbl {\f0 {\f0\fs20 name}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx2340
+\intbl {\f0 {\f0\fs20 medianX}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx3510
+\intbl {\f0 {\f0\fs20 ORmed}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx4680
+\intbl {\f0 {\f0\fs20 meanX}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx5850
+\intbl {\f0 {\f0\fs20 ORmea}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx7020
+\intbl {\f0 {\f0\fs20 coefs}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx8190
+\intbl {\f0 {\f0\fs20 OR}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx9360
+\intbl {\f0 {\f0\fs20 CIs}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Intercept}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 -3.732}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 0.024}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 -3.773}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 0.023}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -1.023}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.360}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.174,0.757)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Age}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.025}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.026}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.027}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.027}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.484}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.622}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (1.259,2.124)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Male}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 -0.023}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 0.977}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -0.253}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.777}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.445,1.378)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Living alone}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.884}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 2.422}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.888}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 2.431}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 1.170}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 3.224}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (1.874,5.693)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Daily or occasinally smoking}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.156}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.169}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.161}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.175}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.546}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.727}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (1.022,3.04)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 More alcohol than recommendation}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.004}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.004}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.300}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.350}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.583,3.27)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Known AFIB}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -0.060}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.942}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.472,1.889)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Known hypertension}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.083}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.086}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.100}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.105}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.361}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.434}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.871,2.382)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Known diabetes}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.015}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.015}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.437,2.396)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Known PAD}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.005}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.005}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.514}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.673}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.4,9.834)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Previous MI}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.047}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.049}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.062}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.064}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.516}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.676}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.727,4.083)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Pre-stroke mRS  [-1]}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.020}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.020}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.271}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.311}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.608,2.904)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Acute NIHSS score}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.033}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.034}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.037}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.037}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.315}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.370}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (1.066,1.788)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Any reperfusion therapy}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -0.020}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.980}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.571,1.706)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Active trial treatment}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.062}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.064}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.106}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.111}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.380}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.462}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.897,2.445)}}\cell
+
+\row
+
+}

1 PA Decline/table2_sec.RTF

@@ -0,0 +1,715 @@
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+\paperw12240\paperh15840\widowctrl\ftnbj\fet0\sectd\linex0
+\lndscpsxn
+\margl1440\margr1440\margt1440\margb1440
+\headery720\footery720\fs20
+
+\trowd\trrh0\trhdr
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0\cf1 {\f0\fs20 Model coefficients} {\f0\fs20\i\super } \line {\f0\fs20 Combined table of both full and regularised model coefficients} {\f0\fs20\i\super }}\cell
+
+\row
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+\trowd\trrh0\trhdr
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 }}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmgf \cellx2340
+\intbl {\f0 {\f0\fs20 Regularised model, (a=0.9, l=0.062)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmrg \cellx3510
+\intbl {\f0 {\f0\fs20 Regularised model, (a=0.9, l=0.062)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmrg \cellx4680
+\intbl {\f0 {\f0\fs20 Regularised model, (a=0.9, l=0.062)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmrg \cellx5850
+\intbl {\f0 {\f0\fs20 Regularised model, (a=0.9, l=0.062)}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmgf \cellx7020
+\intbl {\f0 {\f0\fs20 Full model}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmrg \cellx8190
+\intbl {\f0 {\f0\fs20 Full model}}\cell
+
+\pard\plain\uc0\qc\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2\clmrg \cellx9360
+\intbl {\f0 {\f0\fs20 Full model}}\cell
+
+\row
+
+\trowd\trrh0\trhdr
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx1170
+\intbl {\f0 {\f0\fs20 name}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx2340
+\intbl {\f0 {\f0\fs20 medianX}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx3510
+\intbl {\f0 {\f0\fs20 ORmed}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx4680
+\intbl {\f0 {\f0\fs20 meanX}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx5850
+\intbl {\f0 {\f0\fs20 ORmea}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx7020
+\intbl {\f0 {\f0\fs20 coefs}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx8190
+\intbl {\f0 {\f0\fs20 OR}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85\clbrdrb\brdrs\brdrw20\brdrcf2 \cellx9360
+\intbl {\f0 {\f0\fs20 CIs}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Intercept}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 -0.890}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 0.411}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 -0.949}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 0.387}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -1.203}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.300}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.112,0.808)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Age}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.004}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.004}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.004}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.004}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.373}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.452}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (1.147,1.857)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Male}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.014}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.014}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.597,1.745)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Living alone}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.186}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.204}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.208}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.231}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.702}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 2.017}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (1.23,3.377)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Daily or occasinally smoking}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.003}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.003}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.403}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.496}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.927,2.479)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 More alcohol than recommendation}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -0.154}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.857}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.389,1.898)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Known AFIB}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -0.165}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.848}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.451,1.612)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Known hypertension}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.241}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.273}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.8,2.07)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Known diabetes}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -0.193}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.824}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.385,1.788)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Known PAD}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -0.169}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.845}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.245,3.202)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Previous MI}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.591}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.807}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.802,4.422)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Pre-stroke mRS  [-1]}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 -0.028}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 0.973}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -0.843}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.430}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.219,0.892)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Acute NIHSS score}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.001}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.001}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.323}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.382}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (1.084,1.787)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Any reperfusion therapy}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -0.177}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.838}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.496,1.423)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 Active trial treatment}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.007}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.007}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.343}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.409}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.897,2.25)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 One month mRS [-1]}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.077}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.080}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.572}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.773}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.876,4.094)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 One month MFI (General fatigue)}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 -0.565}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 0.568}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.396,0.808)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 One month MFI (Physical fatigue)}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.214}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.238}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.894,1.729)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 One month MFI (Reduced activity)}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.002}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.002}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.072}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.074}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.765,1.516)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 One month MFI (Reduced motivation)}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.102}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.107}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.844,1.457)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 One month MFI (Mental fatigue)}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.000}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.093}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.097}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (0.853,1.42)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 One month MDI}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx2340
+\intbl {\f0 {\f0\fs20 0.027}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx3510
+\intbl {\f0 {\f0\fs20 1.028}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx4680
+\intbl {\f0 {\f0\fs20 0.025}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx5850
+\intbl {\f0 {\f0\fs20 1.025}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx7020
+\intbl {\f0 {\f0\fs20 0.490}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx8190
+\intbl {\f0 {\f0\fs20 1.632}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 (1.193,2.299)}}\cell
+
+\row
+
+\trowd\trrh0
+
+\pard\plain\uc0\ql\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx1170
+\intbl {\f0 {\f0\fs20 One month WHO5}}\cell
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1 PA Decline/table3.RTF

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+}

1 PA Decline/table3_sec.RTF

@@ -0,0 +1,184 @@
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+\intbl {\f0 {\f0\fs20 Mean AUC}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx6240
+\intbl {\f0 {\f0\fs20 0.577}}\cell
+
+\pard\plain\uc0\qr\clvertalc \clpadfl3\clpadl25 \clpadft3\clpadt85 \clpadfb3\clpadb25 \clpadfr3\clpadr85 \cellx9360
+\intbl {\f0 {\f0\fs20 0.594}}\cell
+
+\row
+
+}

2 Longterm/data.R

@@ -0,0 +1,61 @@
+## 
+## Data pull and export for Forskermaskinen
+## 
+## Exports are made in REDCap instead
+## 
+## Data set is made here, not in REDCap, as data here is better organised.
+## 
+
+
+dta<-read.csv("/Volumes/Data/exercise/source/background.csv",colClasses = "character", na.strings = c("NA","","unknown"))
+
+export<-dta[,c("pase_0",
+               "age",
+               "sex",
+               "civil",
+               "smoker", 
+               "rtreat",
+               "alc",
+               "afli",
+               "hypertension",
+               "diabetes",
+               "mrs_0",
+               "nihss_c",
+               "thrombolysis",
+               "pad", 
+               "thrombechtomy", 
+               "ami", 
+               "tci",
+               "rdate",
+               "cpr",
+               "rnumb",
+               "height",
+               "weight",
+               "weight_est",
+               "inc_time",
+               "compliant",
+               "mrs_1",
+               "mrs_6",
+               "pase_6",
+               "visit_1",
+               "visit_6")]
+
+export$diabetes[is.na(export$diabetes)]<-"no"
+export$diabetes[is.na(export$hypertension)]<-"no"
+export$thrombolysis[is.na(export$thrombolysis)]<-"no"
+export$thrombechtomy[is.na(export$thrombechtomy)]<-"no"
+export$pad[is.na(export$pad)]<-"no"
+export$ami[is.na(export$ami)]<-"no"
+export$inc_time[export$inc_time<0]<-0
+export$compliant<-as.numeric(factor(export$compliant))
+export$rdate<-as.Date(export$rdate)
+# export$mrs_0[export$mrs_0==3]<-NA
+
+export <- export|>
+  mutate(any_rep=factor(ifelse(thrombolysis=="yes"|thrombechtomy=="yes","yes","no")), # If not noted, no therapy was received
+         weight=ifelse(is.na(weight),weight_est,weight))|>
+  select(-c(weight_est))
+
+write.csv(export|>select(c(rnumb,rtreat)),"/Volumes/Data/SDS upload/study_treatment.csv",row.names = FALSE)
+write.csv(export,"/Volumes/Data/SDS upload/data_all.csv",row.names = FALSE)
+write.csv(export|>select(-c(rtreat)),"/Volumes/Data/SDS upload/background.csv",row.names = FALSE)

2 Longterm/generalised odds ratio.R

@@ -0,0 +1,9 @@
+## Generaloised odds ratio
+## 
+## Tournament based approach
+## 
+
+
+library(genodds)
+
+

side projects/treatment_quality.R

@@ -0,0 +1 @@
+## treatment_quality