ArticleJournal of critical care2024
Enhancing Sepsis prognosis: Integrating social determinants and demographic variables into a comprehensive model for critically ill patients.
Article in Journal of critical care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Association Between Community-Level Social Determinants of Health and Sepsis Incidence and Mortality: A Scoping Review.Critical care explorations · 2026Article
- Evaluation of 6-hour urine creatinine clearance as the kidney component in the SOFA score: An observational cohort study.Journal of intensive medicine · 2026Article
- Frailty as an Independent Predictor of Mortality in Patients with Sepsis.Journal of personalized medicine · 2025Article
- Social Determinants of Sepsis Mortality in the United States: A Retrospective, Epidemiologic Analysis.medRxiv : the preprint server for health sciences · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe Sequential Organ Failure Assessment (SOFA) score monitors organ failure and defines sepsis but may not fully capture factors influencing sepsis mortality. Socioeconomic and demographic impacts on sepsis outcomes have been highlighted recently.
objectiveTo evaluate the prognostic value of SOFA scores against demographic and social health determinants for predicting sepsis mortality in critically ill patients, and to assess if a combined model increases predictive accuracy.
methodsThe study utilized retrospective data from the MIMIC-IV database and prospective external validation from the Penn State Health cohort. A Random Forest model incorporating SOFA scores, demographic/social data, and the Charlson Comorbidity Index was trained and validated.
findingsIn the MIMIC-IV dataset of 32,970 sepsis patients, 6,824 (20.7%) died within 30 days. A model including demographic, socioeconomic, and comorbidity data with SOFA scores improved predictive accuracy beyond SOFA scores alone. Day 2 SOFA, age, weight, and comorbidities were significant predictors. External validation showed consistent performance, highlighting the importance of delta SOFA between days 1 and 3.
conclusionAdding patient-specific demographic and socioeconomic information to clinical metrics significantly improves sepsis mortality prediction. This suggests a more comprehensive, multidimensional prognostic approach is needed for accurate sepsis outcome predictions.
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