Publication date: Dec 17, 2025
This study investigated the relationship between weight-derived markers and in-hospital mortality in patients with Corona Virus Disease 2019 (COVID-19). Various body composition including Weight, Body Mass Index (BMI), Body Fat Percentage (BFP), Whole-Body Fat Mass (WBFM), Lean Body Mass (LBM), and Basal Metabolic Rate (BMR) were calculated based on height, weight, gender, and age. In-hospital mortality served as the primary clinical outcome. The associations between these indicators and patient prognosis were evaluated using a crude model, a logistic Model adjusted for confounders, and a Propensity Score Matching (PSM) model. The corresponding 95% confidence intervals (95% CI) and odds ratio (OR) values were calculated. Additionally, four machine-learning predictive models (Decision Tree Classifier, Random Forest, Gaussian Naive Bayes, Gradient Boosting Classifier) were developed to assess the clinical utility of weight-derived markers. A total of 509 patients with COVID-19 were included in the study. Among the weight-derived markers, only BMI consistently demonstrated a protective effect against in-hospital mortality (crude model: OR (95% CI) = 0. 84 (0. 77-0. 92); adjusted model 1: OR (95% CI) = 0. 84 (0. 77-0. 92); PSM: OR (95% CI) = 0. 85 (0. 74-0. 97), all P
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| Concepts | Keywords |
|---|---|
| Covid | BMI |
| Forest | Cohort study |
| Hospitals | COVID-19 |
| Wbfm | Machine learning |
| Obesity | |
| Obesity paradox | |
| Weight |
Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | Weight Body |
| disease | MESH | COVID-19 |
| disease | MESH | virus disease |
| drug | DRUGBANK | Flunarizine |
| disease | MESH | included |
| pathway | REACTOME | Reproduction |
| disease | MESH | Infectious Diseases |
| drug | DRUGBANK | Coenzyme M |
| disease | MESH | Obesity |