Observational studyScientific reports2020
A novel severity score to predict inpatient mortality in COVID-19 patients.
Observational study in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 3 of them syntheses that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
76 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Prognostic models in COVID-19 infection that predict severity: a systematic review.European journal of epidemiology · 2023Pooled it
- Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis.Clinical reviews in allergy & immunology · 2023Pooled it
- Age-adjusted quick Sequential Organ Failure Assessment score for predicting mortality and disease severity in children with infection: a systematic review and meta-analysis.Scientific reports · 2021Pooled it
- Trial
- Safety and effectiveness of high-dose vitamin C in patients with COVID-19: a randomized open-label clinical trial.European journal of medical research · 2021Trial
- Integration of the circulating miRNome and clinical information to predict 90-day mortality in elderly COVID-19 subphenotypes.iScience · 2026Article
- Severity Scores in SARS-CoV-2 Infection-A Comprehensive Bibliometric Review and Visualization Analysis.Epidemiologia (Basel, Switzerland) · 2026Review
- Forecasting COVID-19 inpatient mortality using fundamental parameters in resource-constrained settings: a countrywide multi-center cohort study.BMC infectious diseases · 2025Article
- Performance of Risk Scores in SARS-CoV-2 Infection: A Retrospective Study.International journal of environmental research and public health · 2025Observational
- Infectious biomarkers upon admission predict in-hospital mortality in COVID-19 patients with and without chronic heart failure.Frontiers in cellular and infection microbiology · 2025Article
- Comorbidities and mortality risk in COVID-19 patients with congestive heart failure: A comprehensive analysis.Heliyon · 2024Article
- A multicenter study of asymmetric and symmetric dimethylarginine as predictors of mortality risk in hospitalized COVID-19 patients.Scientific reports · 2024Article
- Survival, mortality and epidemic risk status of COVID-19: a population-based Study in Golestan province, Iran.Archives of public health = Archives belges de sante publique · 2024Article
- Clinical and Laboratory Data Up on Hospital Admission are Predictors of New-Onset Atrial Fibrillation in Patients Hospitalized Due to COVID-19 Pneumonia.Arquivos brasileiros de cardiologia · 2024Observational
- Prognostic accuracy of early warning scores for predicting serious illness and in-hospital mortality in patients with COVID-19.PLOS global public health · 2024Article
- Validation of a risk prediction model for COVID-19: the PERIL prospective cohort study.Future virology · 2023Article
- Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023Article
- Higher urea-to-albumin ratio is associated with mortality risk in critically ill COVID-19 patients.Clinical nutrition ESPEN · 2023Article
- Performance of point-of-care severity scores to predict prognosis in patients admitted through the emergency department with COVID-19.Journal of hospital medicine · 2023Article
- Development and Validation of an Acute Respiratory Distress Syndrome Prediction Model in Coronavirus Disease 2019: Updated Lung Injury Prediction Score.Mayo Clinic proceedings · 2023Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 is commonly mild and self-limiting, but in a considerable portion of patients the disease is severe and fatal. Determining which patients are at high risk of severe illness or mortality is essential for appropriate clinical decision making. We propose a novel severity score specifically for COVID-19 to help predict disease severity and mortality. 4711 patients with confirmed SARS-CoV-2 infection were included. We derived a risk model using the first half of the cohort (n = 2355 patients) by logistic regression and bootstrapping methods. The discriminative power of the risk model was assessed by calculating the area under the receiver operating characteristic curves (AUC). The severity score was validated in a second half of 2356 patients. Mortality incidence was 26.4% in the derivation cohort and 22.4% in the validation cohort. A COVID-19 severity score ranging from 0 to 10, consisting of age, oxygen saturation, mean arterial pressure, blood urea nitrogen, C-Reactive protein, and the international normalized ratio was developed. A ROC curve analysis was performed in the derivation cohort achieved an AUC of 0.824 (95% CI 0.814-0.851) and an AUC of 0.798 (95% CI 0.789-0.818) in the validation cohort. Furthermore, based on the risk categorization the probability of mortality was 11.8%, 39% and 78% for patient with low (0-3), moderate (4-6) and high (7-10) COVID-19 severity score. This developed and validated novel COVID-19 severity score will aid physicians in predicting mortality during surge periods.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.