Predictors of In-Hospital Mortality in Older Patients With COVID-19: The COVIDAge Study

To determine predictors of in-hospital mortality related to COVID-19 in older patients. Retrospective cohort study. Patients aged 65 years and older hospitalized for a diagnosis of COVID-19. Data from hospital admission were collected from the electronic medical records. Logistic regression and Cox proportional hazard models were used to predict mortality, our primary outcome. Variables at hospital admission were categorized according to the following domains: demographics, clinical history, comorbidities, previous treatment, clinical status, vital signs, clinical scales and scores, routine laboratory analysis, and imaging results. Of a total of 235 Caucasian patients, 43% were male, with a mean age of 86 ± 6.5 years. Seventy-six patients (32%) died. Nonsurvivors had a shorter number of days from initial symptoms to hospitalization (P = .007) and the length of stay in acute wards than survivors (P