Additional file 1: Figure S1. Physician prediction: Visual Likert Scale. Figure S2. PresagEER study timeline. Table S1. Delays between ICU admission, AKI diagnosis and RRT initiation. Table S2. RRT characteristics. Table S3. Characteristics and outcomes of AKI patients (n (%) or median (IQR)). Table S4. Multivariate analysis including variables associated with the risk of requiring RRT (without physician prediction).

Additional file 1: Supplementary material S1, S2, S3 and S4

Additional file 1: Table S1. Physiological, ventilatory and hemodynamic data for all the sessions considered together (n=191) and for the first (n=42), the second (n=37), the third (n=31), the fourth (n=18) and the fifth (n=14) proning sessions). Table S2. Variations in physiological and ventilatory parameters during the fourth (n=18), the fifth (n=14) proning sessions. Comparisons between the success and failure group.

Additional file 1. COREQ (COnsolidated criteria for REporting Qualitative research) Checklist.

Additional file 1: Fig. S1. Components of variation in the whole methylome dataset. a) Scree plot representing the percentage of explained variability by the first five principal components of PCA performed on the whole dataset (n=731,635 CpG sites, n=255 samples). b) Singular value decomposition (SVD) plot assessing the correlation between the first five significant components of variation in the dataset and other biological factors of interest (Hypertension type –PHT, CS, PA, PPGL-, age, sex, cell...

Additional file 1: Table S1. Physiological, ventilatory and hemodynamic data for all the sessions considered together (n=191) and for the first (n=42), the second (n=37), the third (n=31), the fourth (n=18) and the fifth (n=14) proning sessions). Table S2. Variations in physiological and ventilatory parameters during the fourth (n=18), the fifth (n=14) proning sessions. Comparisons between the success and failure group.

Supplemental Material for Interobserver Variability and Accuracy of Preoperative CT and MRI in Pancreatic Ductal Adenocarcinoma Size Estimation: A Retrospective Cohort Study by Romain Cocquempot, MD, Angèle Bonnin, MD, Maxime Barat, MD, MSc, Gaanan Naveendran, MD, Anthony Dohan, MD, PhD, David Fuks, MD, PhD, Benoit Terris, MD, PhD, Romain Coriat, MD, PhD, Christine Hoeffel, MD, PhD, Ugo Marchese, MD, MSc, Philippe Soyer, MD, PhD in Canadian Association of Radiologists Journal

Supplemental Material for Interobserver Variability and Accuracy of Preoperative CT and MRI in Pancreatic Ductal Adenocarcinoma Size Estimation: A Retrospective Cohort Study by Romain Cocquempot, MD, Angèle Bonnin, MD, Maxime Barat, MD, MSc, Gaanan Naveendran, MD, Anthony Dohan, MD, PhD, David Fuks, MD, PhD, Benoit Terris, MD, PhD, Romain Coriat, MD, PhD, Christine Hoeffel, MD, PhD, Ugo Marchese, MD, MSc, Philippe Soyer, MD, PhD in Canadian Association of Radiologists Journal

Supplemental Material for Interobserver Variability and Accuracy of Preoperative CT and MRI in Pancreatic Ductal Adenocarcinoma Size Estimation: A Retrospective Cohort Study by Romain Cocquempot, MD, Angèle Bonnin, MD, Maxime Barat, MD, MSc, Gaanan Naveendran, MD, Anthony Dohan, MD, PhD, David Fuks, MD, PhD, Benoit Terris, MD, PhD, Romain Coriat, MD, PhD, Christine Hoeffel, MD, PhD, Ugo Marchese, MD, MSc, Philippe Soyer, MD, PhD in Canadian Association of Radiologists Journal

Supplemental Material for Interobserver Variability and Accuracy of Preoperative CT and MRI in Pancreatic Ductal Adenocarcinoma Size Estimation: A Retrospective Cohort Study by Romain Cocquempot, MD, Angèle Bonnin, MD, Maxime Barat, MD, MSc, Gaanan Naveendran, MD, Anthony Dohan, MD, PhD, David Fuks, MD, PhD, Benoit Terris, MD, PhD, Romain Coriat, MD, PhD, Christine Hoeffel, MD, PhD, Ugo Marchese, MD, MSc, Philippe Soyer, MD, PhD in Canadian Association of Radiologists Journal

Additional file 1: Figure S1. Physician prediction: Visual Likert Scale. Figure S2. PresagEER study timeline. Table S1. Delays between ICU admission, AKI diagnosis and RRT initiation. Table S2. RRT characteristics. Table S3. Characteristics and outcomes of AKI patients (n (%) or median (IQR)). Table S4. Multivariate analysis including variables associated with the risk of requiring RRT (without physician prediction).

Additional file 1. COREQ (COnsolidated criteria for REporting Qualitative research) Checklist.

Supplemental Material for Interobserver Variability and Accuracy of Preoperative CT and MRI in Pancreatic Ductal Adenocarcinoma Size Estimation: A Retrospective Cohort Study by Romain Cocquempot, MD, Angèle Bonnin, MD, Maxime Barat, MD, MSc, Gaanan Naveendran, MD, Anthony Dohan, MD, PhD, David Fuks, MD, PhD, Benoit Terris, MD, PhD, Romain Coriat, MD, PhD, Christine Hoeffel, MD, PhD, Ugo Marchese, MD, MSc, Philippe Soyer, MD, PhD in Canadian Association of Radiologists Journal

Additional file 1: Fig. S1. Components of variation in the whole methylome dataset. a) Scree plot representing the percentage of explained variability by the first five principal components of PCA performed on the whole dataset (n=731,635 CpG sites, n=255 samples). b) Singular value decomposition (SVD) plot assessing the correlation between the first five significant components of variation in the dataset and other biological factors of interest (Hypertension type –PHT, CS, PA, PPGL-, age, sex, cell...

Supplemental Material for Interobserver Variability and Accuracy of Preoperative CT and MRI in Pancreatic Ductal Adenocarcinoma Size Estimation: A Retrospective Cohort Study by Romain Cocquempot, MD, Angèle Bonnin, MD, Maxime Barat, MD, MSc, Gaanan Naveendran, MD, Anthony Dohan, MD, PhD, David Fuks, MD, PhD, Benoit Terris, MD, PhD, Romain Coriat, MD, PhD, Christine Hoeffel, MD, PhD, Ugo Marchese, MD, MSc, Philippe Soyer, MD, PhD in Canadian Association of Radiologists Journal

Additional file 1: Supplementary material S1, S2, S3 and S4

Additional file 1: Fig. S1. Study flowchart. Table S1. Baseline characteristics and mortality in the groups with vs. without mild-to-moderate postresuscitation shock (PRS) at intensive-care-unit (ICU) admission. Table S2. Multivariate logistic regression modelling to identify admission variables associated with a favourable outcome on day 90 in the overall population (n = 532).

Additional file 1: Fig. S1. Study flowchart. Table S1. Baseline characteristics and mortality in the groups with vs. without mild-to-moderate postresuscitation shock (PRS) at intensive-care-unit (ICU) admission. Table S2. Multivariate logistic regression modelling to identify admission variables associated with a favourable outcome on day 90 in the overall population (n = 532).