ArticleBMC pulmonary medicine2025
Associations of weight-derived markers with mortality in patients with Corona virus disease 2019: evidence from hospitals and patients.
Article in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
objectivesThis study investigated the relationship between weight-derived markers and in-hospital mortality in patients with Corona Virus Disease 2019 (COVID-19).
methodsVarious 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.
resultsA 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 < 0.05). Restricted Cubic Spline regression indicated significant nonlinear associations between BMI, Weight, LBM, and WBFM with in-hospital mortality (P for overall < 0.05). Conversely, no significant nonlinear associations were observed between BFP, BMR, and in-hospital mortality. The BMI-based Random Forest prediction model effectively forecasted in-hospital mortality (ROC (95% CI) = 0.84 (0.76-0.92)).
conclusionsHigher BMI was associated with reduced in-hospital mortality in patients with COVID-19, with the BMI-based predictive model demonstrating strong predictive capabilities.
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