ArticlePloS one2021
Covichem: A biochemical severity risk score of COVID-19 upon hospital admission.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Associations of Iron Related Biomarkers with Risk, Clinical Severity and Mortality in SARS-CoV-2 Patients: A Meta-Analysis.Nutrients · 2022Pooled it
- The 123 COVID SCORE: A simple and reliable diagnostic tool to predict in-hospital death in COVID-19 patients on hospital admission.PloS one · 2024Article
- An Observational Study on the Utility of Lab Parameters in Evaluating the Severity of Patients in South India with Covid-19.Journal of pharmacy & bioallied sciences · 2023Article
- Diagnostic utility of the Covichem score in predicting COVID-19 disease.The American journal of emergency medicine · 2022Article
- Article
- CT-based severity assessment for COVID-19 using weakly supervised non-local CNN.Applied soft computing · 2022Article
- A Comparison of XGBoost, Random Forest, and Nomograph for the Prediction of Disease Severity in Patients With COVID-19 Pneumonia: Implications of Cytokine and Immune Cell Profile.Frontiers in cellular and infection microbiology · 2022Article
- Development of lab score system for predicting COVID-19 patient severity: A retrospective analysis.PloS one · 2022Article
- Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Obesity and its implications on cerebral circulation and intracranial compliance in severe COVID-19.Obesity science & practice · 2021Article
- Mesenchymal stem cells and COVID-19: What they do and what they can do.World journal of stem cells · 2021Review
- Iron metabolism in infections: Focus on COVID-19.Seminars in hematology · 2021Review
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21 authors.
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Abstract
Clinical and laboratory predictors of COVID-19 severity are now well described and combined to propose mortality or severity scores. However, they all necessitate saturable equipment such as scanners, or procedures difficult to implement such as blood gas measures. To provide an easy and fast COVID-19 severity risk score upon hospital admission, and keeping in mind the above limits, we sought for a scoring system needing limited invasive data such as a simple blood test and co-morbidity assessment by anamnesis. A retrospective study of 303 patients (203 from Bordeaux University hospital and an external independent cohort of 100 patients from Paris Pitié-Salpêtrière hospital) collected clinical and biochemical parameters at admission. Using stepwise model selection by Akaike Information Criterion (AIC), we built the severity score Covichem. Among 26 tested variables, 7: obesity, cardiovascular conditions, plasma sodium, albumin, ferritin, LDH and CK were the independent predictors of severity used in Covichem (accuracy 0.87, AUROC 0.91). Accuracy was 0.92 in the external validation cohort (89% sensitivity and 95% specificity). Covichem score could be useful as a rapid, costless and easy to implement severity assessment tool during acute COVID-19 pandemic waves.
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