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Additional file 1 of Defining persistent critical illness based on growth trajectories in patients with sepsis
journal contribution
posted on 2020-02-19, 05:15 authored by Zhongheng Zhang, Kwok Ho, Hongqiu Gu, Yucai Hong, Yunsong YuTable S1. Fixed effects in the longitudinal 5-class model. Table S2. Predictive performance of acute and antecedent models as represented by AUCs for the day 1, 2, 7, 14 and 21. Table S3. The differences of baseline variables across the 5 classes. Table S4. Binary logistic regression model using antecedent variables to predict mortality. Table S5. Binary logistic regression model using acute variables to predict mortality. Table S6. Comparisons between PCI versus non-PCI groups in the overall population. Figure S1. Missing value in the study. Figure S2. Sensitivity analysis in patients with pulmonary infection. Figure S3. Sensitivity analysis in non-surgical patients.