ArticleCureus2023
A Comparison of ICU Mortality Scoring Systems Applied to COVID-19.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Four-organ SOFA score as a potential tool to triage use of continuous kidney replacement therapy in COVID-19 patients with acute kidney injury: a retrospective two-center study.Renal failure · 2026Article
- [Experiences from SARS-CoV-2 pandemic at UKSH Lübeck].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2026Article
- Acute kidney injury and length of ICU stay in diabetic ketoacidosis: a retrospective cohort study.Frontiers in endocrinology · 2026Article
- Forecasting COVID-19 inpatient mortality using fundamental parameters in resource-constrained settings: a countrywide multi-center cohort study.BMC infectious diseases · 2025Article
- Article
- Multiplex Targeted Proteomic Analysis of Cytokine Ratios for ICU Mortality in Severe COVID-19.Proteomes · 2025Article
- Prognostic Impact of COVID-19 Inflammation Score Response: A Sub-Group Analysis on Critically Ill Patients of the RuxCoFlam Trial.Life (Basel, Switzerland) · 2025Article
- Evaluation of the performance of disease severity indices (SOFA, SAPS III, and MPM II) for the prediction of mortality rate in COVID-19 patients admitted to the intensive care units: a retrospective cross-sectional study.BMC infectious diseases · 2025Article
- Article
- Policy Proposals for Mitigating Intensive Care Unit Strain: Insights from the COVID-19 Pandemic.Annals of the American Thoracic Society · 2024Article
- Prognostic Implications of Initial Radiological Findings of Pulmonary Fibrosis in Patients with Acute SARS-CoV-2 Infection: A Prospective Multicentric Study.Diseases (Basel, Switzerland) · 2024Article
- Mortality Impact of Severe COVID-19 in the ICU: A Study from the Târgu Mureș Support Unit.Life (Basel, Switzerland) · 2024Article
- Article
- Aldosterone levels do not predict 28-day mortality in patients treated for COVID-19 in the intensive care unit.Scientific reports · 2024Article
- Article
- Prognostic significance of gastrointestinal dysfunction in critically ill patients with COVID-19.Critical care science · 2024Article
- Bilirubin is not an independent predictor of mortality in patients admitted to intensive care with sepsis - A prospective, single-center cohort from South India.International journal of critical illness and injury scienceArticle
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Over the past three years, COVID-19 has been a major source of mortality in intensive care units around the world. Many scoring systems have been developed to estimate mortality in critically ill patients. Our intent with this study was to compare the efficacy of these systems when applied to COVID-19. Methods The was a multicenter, retrospective cohort study of critically ill patients with COVID-19 admitted to 16 hospitals in Texas from February 2020 to March 2022. The Simplified Acute Physiology Score (SAPS) II, Acute Physiology and Chronic Health Evaluation (APACHE) II, Sequential Organ Failure Assessment (SOFA) score, and 4C Mortality scores were calculated on the initial day of ICU admission. Primary endpoints were all-cause mortality, ICU length of stay, and hospital length of stay. Results Initially, 62,881 patient encounters were assessed, and the cohort of 292 was selected based on the inclusion of the requisite values for each of the scoring systems. The median age was 56 +/- 14.93 years and 61% of patients were male. Mortality was defined as patients who expired or were discharged to hospice and was 78%. The different scoring systems were compared using logistic regression, receiver operating characteristic (ROC) curve, and area under the ROC curve (AUC) analysis to compare the accuracy of prediction of the mortality and length of stay. The multivariate analysis showed that SOFA, APACHE II, SAPS II, and 4C scores were all significant predictors of mortality. The SOFA score had the highest AUC, though the confidence intervals for all of the models overlap therefore one model could not be considered superior to any of the others. Linear regression was performed to evaluate the models' ability to predict ICU and hospital length of stay, and none of the tested systems were found to be significant predictors of length of stay. Conclusion The SOFA, APACHE II, ISARIC 4-C, and SAPS II scores all accurately predicted mortality in critically ill patients with COVID-19. The SOFA score trended to perform the best.
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