Risk factors for in-hospital mortality in laboratory-confirmed COVID-19 patients in the Netherlands: A competing risk survival analysis

Background To date, survival data on risk factors for COVID-19 mortality in western Europe is limited, and none of the published survival studies have used a competing risk approach. This study aims to identify risk factors for in-hospital mortality in COVID-19 patients in the Netherlands, considering recovery as a competing risk. Methods In this observational multicenter cohort study we included adults with PCR-confirmed SARS-CoV-2 infection that were admitted to one of five hospitals in the Netherlands (March to May 2020). We performed a competing risk survival analysis, presenting cause-spe... Mehr ...

Verfasser: Nijman, Gerine
Wientjes, Maike
Ramjith, Jordache
Janssen, Nico
Hoogerwerf, Jacobien
Abbink, Evertine
Blaauw, Marc
Dofferhoff, Ton
van Apeldoorn, Marjan
Veerman, Karin
de Mast, Quirijn
ten Oever, Jaap
Hoefsloot, Wouter
Reijers, Monique H.
van Crevel, Reinout
van de Maat, Josephine S.
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: PLOS ONE ; volume 16, issue 3, page e0249231 ; ISSN 1932-6203
Verlag/Hrsg.: Public Library of Science (PLoS)
Schlagwörter: Multidisciplinary
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26845740
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://dx.doi.org/10.1371/journal.pone.0249231

Background To date, survival data on risk factors for COVID-19 mortality in western Europe is limited, and none of the published survival studies have used a competing risk approach. This study aims to identify risk factors for in-hospital mortality in COVID-19 patients in the Netherlands, considering recovery as a competing risk. Methods In this observational multicenter cohort study we included adults with PCR-confirmed SARS-CoV-2 infection that were admitted to one of five hospitals in the Netherlands (March to May 2020). We performed a competing risk survival analysis, presenting cause-specific hazard ratios (HR CS ) for the effect of preselected factors on the absolute risk of death and recovery. Results 1,006 patients were included (63.9% male; median age 69 years, IQR: 58–77). Patients were hospitalized for a median duration of 6 days (IQR: 3–13); 243 (24.6%) of them died, 689 (69.9%) recovered, and 74 (7.4%) were censored. Patients with higher age (HR CS 1.10, 95% CI 1.08–1.12), immunocompromised state (HR CS 1.46, 95% CI 1.08–1.98), who used anticoagulants or antiplatelet medication (HR CS 1.38, 95% CI 1.01–1.88), with higher modified early warning score (MEWS) (HR CS 1.09, 95% CI 1.01–1.18), and higher blood LDH at time of admission (HR CS 6.68, 95% CI 1.95–22.8) had increased risk of death, whereas fever (HR CS 0.70, 95% CI 0.52–0.95) decreased risk of death. We found no increased mortality risk in male patients, high BMI or diabetes. Conclusion Our competing risk survival analysis confirms specific risk factors for COVID-19 mortality in a the Netherlands, which can be used for prediction research, more intense in-hospital monitoring or prioritizing particular patients for new treatments or vaccination.