ArticleDiagnostics (Basel, Switzerland)2021
Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score).
Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.
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Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Accuracy of routine laboratory tests to predict mortality and deterioration to severe or critical COVID-19 in people with SARS-CoV-2.The Cochrane database of systematic reviews · 2024Pooled it
- Prognostic models in COVID-19 infection that predict severity: a systematic review.European journal of epidemiology · 2023Pooled it
- The Impact of Neutrophil-Lymphocyte Count Ratio in COVID-19: A Systematic Review and Meta-Analysis.Journal of intensive care medicine · 2022Pooled it
- Prediction of intensive care admission and hospital mortality in COVID-19 patients using demographics and baseline laboratory data.Clinics (Sao Paulo, Brazil) · 2023Trial
- Predicting mortality risk in hospitalized COVID-19 patients: an early model utilizing clinical symptoms.BMC pulmonary medicine · 2024Article
- Artificial intelligence for COVID-19 mortality prediction: improvement of risk stratification and clinical decision-making.Internal and emergency medicine · 2023Article
- Improving prediction of COVID-19 mortality using machine learning in the Spanish SEMI-COVID-19 registry.Internal and emergency medicine · 2023Article
- Validation of the RIM Score-COVID in the Spanish SEMI-COVID-19 Registry.Internal and emergency medicine · 2023Article
- Rapid Assessment of COVID-19 Mortality Risk with GASS Classifiers.Biomedicines · 2023Article
- The Role of Hemogram-derived Ratios in COVID-19 Severity Stratification in a Primary Healthcare Facility.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2023Article
- Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features.Scientific reports · 2023Article
- Developing Prediction Models for COVID-19 Outcomes: A Valuable Tool for Resource-Limited Hospitals.International journal of general medicine · 2023Article
- Significance of hemogram-derived ratios for predicting in-hospital mortality in COVID-19: A multicenter study.Health science reports · 2022Article
- Role of hemogram-derived ratios in predicting intensive care unit admission in COVID-19 patients: a multicenter study.IJID regions · 2022Article
- Melatonin as adjunctive therapy in patients admitted to the Covid-19.Annals of medicine and surgery (2012) · 2022Article
- The evolving direct and indirect platforms for the detection of SARS-CoV-2.Journal of virological methods · 2022Review
- Speech as a Biomarker for COVID-19 Detection Using Machine Learning.Computational intelligence and neuroscience · 2022Article
- Prognostic Value of C-Reactive Protein to Lymphocyte Ratio (CLR) in Emergency Department Patients with SARS-CoV-2 Infection.Journal of personalized medicine · 2021Article
- Hemogram-derived ratios as prognostic markers of ICU admission in COVID-19.BMC emergency medicine · 2021Observational
- Computational Intelligence-Based Model for Mortality Rate Prediction in COVID-19 Patients.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infection by SARS-CoV2 has devastating consequences on health care systems. It is a global health priority to identify patients at risk of fatal outcomes. 1955 patients admitted to HM-Hospitales from 1 March to 10 June 2020 due to COVID-19, were were divided into two groups, 1310 belonged to the training cohort and 645 to validation cohort. Four different models were generated to predict in-hospital mortality. Following variables were included: age, sex, oxygen saturation, level of C-reactive-protein, neutrophil-to-platelet-ratio (NPR), neutrophil-to-lymphocyte-ratio (NLR) and the rate of changes of both hemogram ratios (VNLR and VNPR) during the first week after admission. The accuracy of the models in predicting in-hospital mortality were evaluated using the area under the receiver-operator-characteristic curve (AUC). AUC for models including NLR and NPR performed similarly in both cohorts: NLR 0.873 (95% CI: 0.849-0.898), NPR 0.875 (95% CI: 0.851-0.899) in training cohort and NLR 0.856 (95% CI: 0.818-0.895), NPR 0.863 (95% CI: 0.826-0.901) in validation cohort. AUC was 0.885 (95% CI: 0.885-0.919) for VNLR and 0.891 (95% CI: 0.861-0.922) for VNPR in the validation cohort. According to our results, models are useful in predicting in-hospital mortality risk due to COVID-19. The RIM Score proposed is a simple, widely available tool that can help identify patients at risk of fatal outcomes.
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Registered trials
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.