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ABSTRACT: Background
Coronavirus disease 2019 (COVID-19) has spread around the world, until now, the number of positive and death cases is still increasing. Therefore, it remains important to identify risk factors for death in critically patients.Methods
We collected demographic and clinical data on all severe inpatients with COVID-19. We used univariable and multivariable Cox regression methods to determine the independent risk factors related to likelihood of 28-day and 60-day survival, performing survival curve analysis.Results
Of 325 patients enrolled in the study, Multi-factor Cox analysis showed increasing odds of in-hospital death associated with basic illness (hazard ratio [HR] 6.455, 95% Confidence Interval [CI] 1.658-25.139, P = 0.007), lymphopenia (HR 0.373, 95% CI
SUBMITTER: Gao J
PROVIDER: S-EPMC8223178 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature