Mortality-Associated Risk Factors in Hospitalized COVID-19 Patients in Japan: Findings of the CLOT-COVID Study.
J Epidemiol
; 2022 Nov 12.
Article
in English
| MEDLINE | ID: covidwho-2283357
ABSTRACT
BACKGROUND:
Reports of mortality-associated risk factors in patients with coronavirus disease (COVID-19) are limited.METHODS:
We evaluated the clinical features that were associated with mortality among patients who died during hospitalization (N=158) and those who were alive at discharge (N=2,736) from the large-scale, multicenter, retrospective, observational cohort CLOT-COVID study enrolled consecutively hospitalized COVID-19 patients from 16 centers in Japan from April to September 2021. Data from 2,894 hospitalized COVID-19 participants of the CLOT-COVID study were analyzed in this study.RESULTS:
Patients who died were older (71.1 years versus 51.6 years, P<0.001), had higher median D-dimer values on admission (1.7 µg/mL versus 0.8 µg/mL, P<0.001), and had more comorbidities. On admission, the patients who died had more severe COVID-19 than did those who survived (mild 16% versus 63%, moderate 47% versus 31%, and severe 37% versus 6.2%, P<0.001). In patients who died, the incidence of thrombosis and major bleeding during hospitalization was significantly higher than that in those who survived (thrombosis 8.2% vs. 1.5%, P<0.001; major bleeding 12.7% vs. 1.4%, P<0.001). Multivariable logistic regression analysis revealed that age >70 years, high D-dimer values on admission, heart disease, active cancer, higher COVID-19 severity on admission, and development of major bleeding during hospitalization were independently associated with a higher mortality risk.CONCLUSIONS:
This large-scale observational study in Japan identified several independent risk factors for mortality in hospitalized patients with COVID-19 that could facilitate appropriate risk stratification of patients with COVID-19.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Cohort study
/
Experimental Studies
/
Observational study
/
Prognostic study
Language:
English
Journal subject:
Epidemiology
Year:
2022
Document Type:
Article
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