Comparison of prognostic scores for inpatients with COVID-19: a retrospective monocentric cohort study
- PMID: 36002181
- PMCID: PMC9412043
- DOI: 10.1136/bmjresp-2022-001340
Comparison of prognostic scores for inpatients with COVID-19: a retrospective monocentric cohort study
Abstract
Background: The SARS-CoV-2 pandemic led to a steep increase in hospital and intensive care unit (ICU) admissions for acute respiratory failure worldwide. Early identification of patients at risk of clinical deterioration is crucial in terms of appropriate care delivery and resource allocation. We aimed to evaluate and compare the prognostic performance of Sequential Organ Failure Assessment (SOFA), Quick Sequential Organ Failure Assessment (qSOFA), Confusion, Uraemia, Respiratory Rate, Blood Pressure and Age ≥65 (CURB-65), Respiratory Rate and Oxygenation (ROX) index and Coronavirus Clinical Characterisation Consortium (4C) score to predict death and ICU admission among patients admitted to the hospital for acute COVID-19 infection.
Methods and analysis: Consecutive adult patients admitted to the Geneva University Hospitals during two successive COVID-19 flares in spring and autumn 2020 were included. Discriminative performance of these prediction rules, obtained during the first 24 hours of hospital admission, were computed to predict death or ICU admission. We further exluded patients with therapeutic limitations and reported areas under the curve (AUCs) for 30-day mortality and ICU admission in sensitivity analyses.
Results: A total of 2122 patients were included. 216 patients (10.2%) required ICU admission and 303 (14.3%) died within 30 days post admission. 4C score had the best discriminatory performance to predict 30-day mortality (AUC 0.82, 95% CI 0.80 to 0.85), compared with SOFA (AUC 0.75, 95% CI 0.72 to 0.78), qSOFA (AUC 0.59, 95% CI 0.56 to 0.62), CURB-65 (AUC 0.75, 95% CI 0.72 to 0.78) and ROX index (AUC 0.68, 95% CI 0.65 to 0.72). ROX index had the greatest discriminatory performance (AUC 0.79, 95% CI 0.76 to 0.83) to predict ICU admission compared with 4C score (AUC 0.62, 95% CI 0.59 to 0.66), CURB-65 (AUC 0.60, 95% CI 0.56 to 0.64), SOFA (AUC 0.74, 95% CI 0.71 to 0.77) and qSOFA (AUC 0.59, 95% CI 0.55 to 0.62).
Conclusion: Scores including age and/or comorbidities (4C and CURB-65) have the best discriminatory performance to predict mortality among inpatients with COVID-19, while scores including quantitative assessment of hypoxaemia (SOFA and ROX index) perform best to predict ICU admission. Exclusion of patients with therapeutic limitations improved the discriminatory performance of prognostic scores relying on age and/or comorbidities to predict ICU admission.
Keywords: COVID-19.
© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Conflict of interest statement
Competing interests: None declared.
Figures



Similar articles
-
Efficacy of the quick sequential organ failure assessment for predicting clinical outcomes among community-acquired pneumonia patients presenting in the emergency department.BMC Infect Dis. 2020 Apr 29;20(1):316. doi: 10.1186/s12879-020-05044-0. BMC Infect Dis. 2020. PMID: 32349682 Free PMC article.
-
Prognostic Accuracy of the SOFA Score, SIRS Criteria, and qSOFA Score for In-Hospital Mortality Among Adults With Suspected Infection Admitted to the Intensive Care Unit.JAMA. 2017 Jan 17;317(3):290-300. doi: 10.1001/jama.2016.20328. JAMA. 2017. PMID: 28114553
-
Performance and comparison of assessment models to predict 30-day mortality in patients with hospital-acquired pneumonia.Chin Med J (Engl). 2020 Dec 3;133(24):2947-2952. doi: 10.1097/CM9.0000000000001252. Chin Med J (Engl). 2020. PMID: 33278090 Free PMC article.
-
Comparative Effectiveness of CURB-65 and qSOFA Scores in Predicting Pneumonia Outcomes: A Systematic Review.Cureus. 2024 Oct 13;16(10):e71394. doi: 10.7759/cureus.71394. eCollection 2024 Oct. Cureus. 2024. PMID: 39539877 Free PMC article. Review.
-
Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in-hospital mortality.Acta Anaesthesiol Scand. 2022 Jan;66(1):65-75. doi: 10.1111/aas.13991. Epub 2021 Oct 15. Acta Anaesthesiol Scand. 2022. PMID: 34622441 Free PMC article.
Cited by
-
COVID-19: An evaluation of predictive scoring systems in South Africa.Heliyon. 2023 Nov 4;9(11):e21733. doi: 10.1016/j.heliyon.2023.e21733. eCollection 2023 Nov. Heliyon. 2023. PMID: 38027857 Free PMC article.
-
Machine learning models for predicting severe COVID-19 outcomes in hospitals.Inform Med Unlocked. 2023;37:101188. doi: 10.1016/j.imu.2023.101188. Epub 2023 Feb 1. Inform Med Unlocked. 2023. PMID: 36742350 Free PMC article.
-
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 Infect Dis. 2025 Apr 30;25(1):637. doi: 10.1186/s12879-025-11045-8. BMC Infect Dis. 2025. PMID: 40307759 Free PMC article.
-
Validation of the qSOFA and CRB-65 in SARS-CoV-2-infected community-acquired pneumonia.ERJ Open Res. 2023 Jun 19;9(3):00168-2023. doi: 10.1183/23120541.00168-2023. eCollection 2023 May. ERJ Open Res. 2023. PMID: 37337510 Free PMC article.
-
Trends in management and outcomes of COVID patients admitted to a Swiss tertiary care hospital.Sci Rep. 2023 Apr 12;13(1):6013. doi: 10.1038/s41598-023-32954-1. Sci Rep. 2023. PMID: 37045983 Free PMC article.
References
-
- Service du Médecin cantonal . COVID-19 Genève: données cantonales, 2020. Available: https://infocovid.smc.unige.ch/
-
- Service du médecin cantonal . COVID-19: bilan épidémiologique hebdomadaire, 2020. Available: https://www.ge.ch/document/covid-19-bilan-epidemiologique-hebdomadaire
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous