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Short-Stay Hospitalizations for Patients with COVID-19: A Retrospective Cohort Study.


ABSTRACT: Patients requiring hospital care for COVID-19 may be stable for discharge soon after admission. This study sought to describe patient characteristics associated with short-stay hospitalization for COVID-19. We performed a retrospective cohort study of patients with COVID-19 admitted to five United States hospitals from March to December 2020. We used multivariable logistic regression to identify patient characteristics associated with short hospital length-of-stay. Of 3103 patients, 648 (20.9%) were hospitalized for less than 48 h. These patients were significantly less likely to have an age greater than 60, diabetes, chronic kidney disease; emergency department vital sign abnormalities, or abnormal initial diagnostic testing. For patients with no significant risk factors, the adjusted probability of short-stay hospitalization was 62.4% (95% CI 58.9-69.6). Identification of candidates for early hospital discharge may allow hospitals to streamline throughput using protocols that optimize the efficiency of hospital care and coordinate post-discharge monitoring.

SUBMITTER: Kilaru AS 

PROVIDER: S-EPMC8125769 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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Short-Stay Hospitalizations for Patients with COVID-19: A Retrospective Cohort Study.

Kilaru Austin S AS   Lee Kathleen K   Grossman Lindsay L   Mankoff Zachary Z   Snider Christopher K CK   Bressman Eric E   Porges Stefanie B SB   Hemmert Keith C KC   Greysen Scott R SR   Asch David A DA   Delgado Mucio K MK  

Journal of clinical medicine 20210503 9


<h4>Objective</h4>Patients requiring hospital care for COVID-19 may be stable for discharge soon after admission. This study sought to describe patient characteristics associated with short-stay hospitalization for COVID-19.<h4>Methods</h4>We performed a retrospective cohort study of patients with COVID-19 admitted to five United States hospitals from March to December 2020. We used multivariable logistic regression to identify patient characteristics associated with short hospital length-of-sta  ...[more]

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