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 ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2021 |
Reihe/Periodikum: | PLOS ONE ; volume 16, issue 3, page e0249231 ; ISSN 1932-6203 |
Verlag/Hrsg.: |
Public Library of Science (PLoS)
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Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29212161 |
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.