10.6084/M9.FIGSHARE.21547489.V1
Martina Bradic
Martina
Bradic
Memorial Sloan Kettering Cancer Center
Cornell University
Sarah Taleb
Sarah
Taleb
Hamad bin Khalifa University
Binitha Thomas
Binitha
Thomas
Weill Cornell Medical College in Qatar
Omar Chidiac
Omar
Chidiac
Weill Cornell Medical College in Qatar
Amal Robay
Amal
Robay
Weill Cornell Medical College in Qatar
Nessiya Hassan
Nessiya
Hassan
Hamad Medical Corporation
Joel Malek
Joel
Malek
Weill Cornell Medical College in Qatar
Ali Ait Hssain
Ali
Ait Hssain
Centre Hospitalier Universitaire de Clermont-Ferrand
Hamad Medical Corporation
Charbel Abi Khalil
Charbel
Abi Khalil
0000-0002-1428-6324
Hamad Medical Corporation
Weill Cornell Medical College in Qatar
Cornell University
Additional file 6 of DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome
Additional file 6: Table S6. Analysis of dead and recovered+A3 COVID-19 patients for immune cell proportions. A. Summary of different models tested for immune cell proportions. Adjusted R2, residual standard error (sigma), AIC, and p-value for each tested model for each cell type are shown. The following models were tested, mod1; Age + MV days + Gender + ICU LoS + ECMO + Nosocomial infections, mod2; Age + Gender + ICU LoS + ECMO + Nosocomial infections, mod3; Age + MV days + ICU LoS + ECMO + Nosocomial infections, mod4; Age + ECMO + Nosocomial infections, mod5; Age + Nosocomial infections, mod6; Age, mod7; no covariates. B. Immune cell differences between dead and recovered at baseline, C. Immune cell differences between dead and recovered at last time point.
Immunology
figshare
2022
2022-11-13
2022-11-13
Dataset
14177 Bytes
10.1186/s12967-022-03737-5
10.6084/m9.figshare.21547489
CC BY + CC0