Background: Coronavirus disease 2019 (COVID-19) is the cause of a global pandemic which has strained the resources of health systems around the world. Health systems, patients, and healthcare providers may benefit from knowledge regarding which factors predict length of stay (LOS), and therefore healthcare resource allocation, in patients presenting with COVID-19. Methods: 559 patients were retrospectively identified who were admitted to Temple University Hospital in Philadelphia, PA between February and May of 2020. All patients tested positive for COVID-19 by nasopharyngeal swab and received computed tomography screening for viral pneumonia. We collected data present at time of hospital admission and performed a retrospective analysis to determine factors associated with hospital LOS. Results: Mean hospital LOS for our cohort was 9.0 days. In this cohort, most patients received antibiotics. 100% of patients received glucocorticoids and 8.1% received remdesivir. 31.2% participated in clinical trials of monoclonal antibodies. 26.8% of patients required intensive care during their hospitalization, 17.4% required invasive or noninvasive mechanical ventilation, and 11.1% died. On multivariable linear regression analysis, increasing leukocyte count and a diagnosis of diabetes mellitus predicted decreased LOS. Increased respiratory support within the first 24 hours, patient age, creatinine, and total bilirubin were associated with increased LOS. Conclusion: Patient past medical history, admission laboratory values, and severity of hypoxemia at hospital admission may predict LOS in patients hospitalized for COVID-19. (Table Presented).
Factors associated with hospitalization length of stay in patients with COVID-19, a multivariable analysis