Covichem: A biochemical severity risk score of COVID-19 upon hospital admission
| Autor: | E. Meriglier, Sandrine Dabernat, Alexandre Boyer, Isabelle Pellegrin, Sébastien Rubin, Aurélie Bedel, François Moreau-Gaudry, Pascale Trimoulet, Arnaud Desclaux, Didier Gruson, Arthur Orieux, Isabelle Garrigue, Charles Dupin, Marie Lise Bats, Etienne Rivière, Rana Alkouri, Tara Fleur, Brigitte Colombies, C. Rivoisy, Clément Chemin, Benoit Rucheton |
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| Přispěvatelé: | Biologie des maladies cardiovasculaires = Biology of Cardiovascular Diseases, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Hôpital Pellegrin, CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Service de Biochimie Métabolique [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université - Faculté de Médecine (SU FM), Sorbonne Université (SU), Hôpital Haut-Lévêque [CHU Bordeaux], CHU Bordeaux [Bordeaux], Microbiologie cellulaire et moléculaire et pathogénicité (MCMP), Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS), Biothérapies des maladies génétiques et cancers, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Bordeaux (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Microbiologie Fondamentale et Pathogénicité (MFP), Gestionnaire, Hal Sorbonne Université |
| Rok vydání: | 2021 |
| Předmět: |
Male
Viral Diseases Physiology [SDV]Life Sciences [q-bio] Aminotransferases Comorbidity 030204 cardiovascular system & hematology Severity of Illness Index Biochemistry Body Mass Index Medical Conditions 0302 clinical medicine Risk Factors Epidemiology Medicine and Health Sciences Medicine 030212 general & internal medicine Virus Testing Multidisciplinary Framingham Risk Score medicine.diagnostic_test Middle Aged C-Reactive Proteins Hospitals Enzymes 3. Good health [SDV] Life Sciences [q-bio] Hospitalization Infectious Diseases Physiological Parameters Cardiovascular Diseases Cohort Female Risk assessment Research Article Paris medicine.medical_specialty Science Risk Assessment 03 medical and health sciences Diagnostic Medicine Transferases Albumins Severity of illness Humans Blood test Obesity Aged Retrospective Studies Ferritin SARS-CoV-2 business.industry Body Weight COVID-19 Biology and Life Sciences Proteins Protein Complexes Covid 19 Retrospective cohort study medicine.disease Health Care Health Care Facilities Emergency medicine Enzymology business |
| Zdroj: | PLoS ONE PLoS ONE, Public Library of Science, 2021, 16 (5), pp.e0250956. ⟨10.1371/journal.pone.0250956⟩ PLoS ONE, 2021, 16 (5), pp.e0250956. ⟨10.1371/journal.pone.0250956⟩ PLoS ONE, Vol 16, Iss 5, p e0250956 (2021) |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0250956 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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