Figure S1. Calibration plot of the logistic regression model. Hospital mortality risk values predicted by our model matched the observed risk values. (JPG 34 kb
Multivariate, mixed effects logistic regression on hospital mortality. (DOCX 21Â kb
Table S1. Correlation between baseline scores (both sum score and subscales) of the Severe Respirato...
Proportional odds regression model for GCS at discharge in patients with head injury. (DOCX 14 kb
Table S1. Candidate disease variables associated with hospital mortality rates, and their World Heal...
Table S1. Prospective multicenter cohort studies (noninterventional) among patients with severe seps...
Multivariable logistic regression model with in-hospital mortality as the dependent variable. (DOCX ...
Table S2. Logistic regression model for predictors of mortality for all patients (N = 679, c-statist...
Additional file 2: Fig. S1. Serial changes in the number of patients with severe COVID-19 receiving ...
Figure S1. Proportion of patients across the range of prehospital risk scores with various healthcar...
Figure S1. Mortality of patients with mechanical ventilation. OR, odds ratio; CI, confidence interva...
Sensitivity analysis. Multivariable logistic regression analysis showing the association of hospital...
FORECAST steering committee. The member list of FORECAST steering committee. (DOCX 15 kb
Table S1. Comparison for patient characteristics and treatments after matching. (DOCX 25 kb
Figure S2. Estimated cumulative incidence of mortality as competing risk with being discharged alive...
Forest plots of the association between nighttime discharge from the ICU and hospital mortality stra...
Multivariate, mixed effects logistic regression on hospital mortality. (DOCX 21Â kb
Table S1. Correlation between baseline scores (both sum score and subscales) of the Severe Respirato...
Proportional odds regression model for GCS at discharge in patients with head injury. (DOCX 14 kb
Table S1. Candidate disease variables associated with hospital mortality rates, and their World Heal...
Table S1. Prospective multicenter cohort studies (noninterventional) among patients with severe seps...
Multivariable logistic regression model with in-hospital mortality as the dependent variable. (DOCX ...
Table S2. Logistic regression model for predictors of mortality for all patients (N = 679, c-statist...
Additional file 2: Fig. S1. Serial changes in the number of patients with severe COVID-19 receiving ...
Figure S1. Proportion of patients across the range of prehospital risk scores with various healthcar...
Figure S1. Mortality of patients with mechanical ventilation. OR, odds ratio; CI, confidence interva...
Sensitivity analysis. Multivariable logistic regression analysis showing the association of hospital...
FORECAST steering committee. The member list of FORECAST steering committee. (DOCX 15 kb
Table S1. Comparison for patient characteristics and treatments after matching. (DOCX 25 kb
Figure S2. Estimated cumulative incidence of mortality as competing risk with being discharged alive...
Forest plots of the association between nighttime discharge from the ICU and hospital mortality stra...
Multivariate, mixed effects logistic regression on hospital mortality. (DOCX 21Â kb
Table S1. Correlation between baseline scores (both sum score and subscales) of the Severe Respirato...
Proportional odds regression model for GCS at discharge in patients with head injury. (DOCX 14 kb
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