ArticleRespiratory medicine2022
Clinical prediction models in hospitalized patients with COVID-19: A multicenter cohort study.
Article in Respiratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 17 citations in OpenAlex.
- 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
- Severity Scores in SARS-CoV-2 Infection-A Comprehensive Bibliometric Review and Visualization Analysis.Epidemiologia (Basel, Switzerland) · 2026Review
- Predictive Performance of SAPS-3, SOFA Score, and Procalcitonin for Hospital Mortality in COVID-19 Viral Sepsis: A Cohort Study.Life (Basel, Switzerland) · 2025Article
- Prediction models based on machine learning algorithms for COVID-19 severity risk.BMC public health · 2025Article
- Prehospital Pandemic Respiratory Infection Emergency System Triage score can effectively predict the 30-day mortality of COVID-19 patients with pneumonia.Annals of medicine · 2024Article
- A COVID-19 specific multiparametric and ECG-based score for the prediction of in-hospital mortality: ELCOVID score.Internal and emergency medicine · 2024Article
- An early warning model for predicting major adverse kidney events within 30 days in sepsis patients.Frontiers in medicine · 2023Article
- Prehospital physiological parameters related illness severity scores can accurately discriminate the severe/critical state in adult patients with COVID-19.Annals of medicine · 2023Article
- Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study.Journal of infection and public health · 2023Observational
- Early Warning Scores for COVID-19 Outcomes: Modified Early Warning Score and Rapid Emergency Medicine Score Performance in Mortality and Hospital Readmission Risk Stratification.Iranian journal of nursing and midwifery researchArticle
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinical spectrum of novel coronavirus disease (COVID-19) ranges from asymptomatic infection to severe respiratory failure that may result in death. We aimed at validating and potentially improve existing clinical models to predict prognosis in hospitalized patients with acute COVID-19.
methodsConsecutive patients with acute confirmed COVID-19 pneumonia hospitalized at 5 Italian non-intensive care unit centers during the 2020 outbreak were included in the study. Twelve validated prognostic scores for pneumonia and/or sepsis and specific COVID-19 scores were calculated for each study patient and their accuracy was compared in predicting in-hospital death at 30 days and the composite of death and orotracheal intubation.
resultsDuring hospital stay, 302 of 1044 included patients presented critical illness (28.9%), and 226 died (21.6%). Nine out of 34 items included in different prognostic scores were independent predictors of all-cause-death. The discrimination was acceptable for the majority of scores (APACHE II, COVID-GRAM, REMS, CURB-65, NEWS II, ROX-index, 4C, SOFA) to predict in-hospital death at 30 days and poor for the rest. A high negative predictive value was observed for REMS (100.0%) and 4C (98.7%) scores; the positive predictive value was poor overall, ROX-index having the best value (75.0%).
conclusionsDespite the growing interest in prognostic models, their performance in patients with COVID-19 is modest. The 4C, REMS and ROX-index may have a role to select high and low risk patients at admission. However, simple predictors as age and PaO2/FiO2 ratio can also be useful as standalone predictors to inform decision making.
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