{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T06:19:50Z","timestamp":1772950790460,"version":"3.50.1"},"reference-count":46,"publisher":"BMJ","issue":"1","license":[{"start":{"date-parts":[[2022,8,24]],"date-time":"2022-08-24T00:00:00Z","timestamp":1661299200000},"content-version":"unspecified","delay-in-days":23,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open Resp Res"],"accepted":{"date-parts":[[2022,8,7]]},"published-print":{"date-parts":[[2022,8]]},"abstract":"<jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>The SARS-CoV-2 pandemic led to a steep increase in hospital and intensive care unit (ICU) admissions for acute respiratory failure worldwide. Early identification of patients at risk of clinical deterioration is crucial in terms of appropriate care delivery and resource allocation. We aimed to evaluate and compare the prognostic performance of Sequential Organ Failure Assessment (SOFA), Quick Sequential Organ Failure Assessment (qSOFA), Confusion, Uraemia, Respiratory Rate, Blood Pressure and Age \u226565 (CURB-65), Respiratory Rate and Oxygenation (ROX) index and Coronavirus Clinical Characterisation Consortium (4C) score to predict death and ICU admission among patients admitted to the hospital for acute COVID-19 infection.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods and analysis<\/jats:title>\n                  <jats:p>Consecutive adult patients admitted to the Geneva University Hospitals during two successive COVID-19 flares in spring and autumn 2020 were included. Discriminative performance of these prediction rules, obtained during the first 24 hours of hospital admission, were computed to predict death or ICU admission. We further exluded patients with therapeutic limitations and reported areas under the curve (AUCs) for 30-day mortality and ICU admission in sensitivity analyses.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>A total of 2122 patients were included. 216 patients (10.2%) required ICU admission and 303 (14.3%) died within 30 days post admission. 4C score had the best discriminatory performance to predict 30-day mortality (AUC 0.82, 95% CI 0.80 to 0.85), compared with SOFA (AUC 0.75, 95% CI 0.72 to 0.78), qSOFA (AUC 0.59, 95% CI 0.56 to 0.62), CURB-65 (AUC 0.75, 95% CI 0.72 to 0.78) and ROX index (AUC 0.68, 95% CI 0.65 to 0.72). ROX index had the greatest discriminatory performance (AUC 0.79, 95% CI 0.76 to 0.83) to predict ICU admission compared with 4C score (AUC 0.62, 95% CI 0.59 to 0.66), CURB-65 (AUC 0.60, 95% CI 0.56 to 0.64), SOFA (AUC 0.74, 95% CI 0.71 to 0.77) and qSOFA (AUC 0.59, 95% CI 0.55 to 0.62).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>Scores including age and\/or comorbidities (4C and CURB-65) have the best discriminatory performance to predict mortality among inpatients with COVID-19, while scores including quantitative assessment of hypoxaemia (SOFA and ROX index) perform best to predict ICU admission. Exclusion of patients with therapeutic limitations improved the discriminatory performance of prognostic scores relying on age and\/or comorbidities to predict ICU admission.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/bmjresp-2022-001340","type":"journal-article","created":{"date-parts":[[2022,8,24]],"date-time":"2022-08-24T11:13:16Z","timestamp":1661339596000},"page":"e001340","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":11,"title":["Comparison of prognostic scores for inpatients with COVID-19: a retrospective monocentric cohort study"],"prefix":"10.1136","volume":"9","author":[{"given":"Jeremy","family":"Martin","sequence":"first","affiliation":[{"name":"Faculty of Medicine, University of Geneva, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christophe","family":"Gaudet-Blavignac","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging and Medical Information Sciences, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Lovis","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Geneva, Geneve, Switzerland"},{"name":"Department of Medical Imaging and Medical Information Sciences, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J\u00e9r\u00f4me","family":"Stirnemann","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Geneva, Geneve, Switzerland"},{"name":"Department of Medicine, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivier","family":"Grosgurin","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Geneva, Geneve, Switzerland"},{"name":"Department of Medicine, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonio","family":"Leidi","sequence":"additional","affiliation":[{"name":"Department of Medicine, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ang\u00e8le","family":"Gayet-Ageron","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Geneva, Geneve, Switzerland"},{"name":"Division of Clinical Epidemiology, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne","family":"Iten","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Geneva, Geneve, Switzerland"},{"name":"Infection Control Program, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Carballo","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Geneva, Geneve, Switzerland"},{"name":"Department of Medicine, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Luc","family":"Reny","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Geneva, Geneve, Switzerland"},{"name":"Department of Medicine, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pauline","family":"Darbellay-Fahroumand","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Geneva, Geneve, Switzerland"},{"name":"Department of Medicine, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amandine","family":"Berner","sequence":"additional","affiliation":[{"name":"Department of Medicine, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christophe","family":"Marti","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, University of Geneva, Geneve, Switzerland"},{"name":"Department of Medicine, Geneva University Hospitals, Geneve, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"239","published-online":{"date-parts":[[2022,8,24]]},"reference":[{"key":"2025083110140123000_9.1.e001340.1","unstructured":"Service du M\u00e9decin cantonal . 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