Assessment of 90-day Return to Hospital among COVID-19 Patients: A Single Centre Study.
DOI:
https://doi.org/10.70672/efd5q603Keywords:
Coronavirus, COVID-19, readmission, SARS-CoV-2.Abstract
Introduction: Readmissions among COVID-19 patients increase healthcare burdens and resource utilization. Identifying risk factors can help mitigate this issue. This study aimed to determine the proportion and predictors of hospital returns among COVID-19 patients.
Materials and methods: A single-centre retrospective cohort study was conducted involving adult COVID-19 patients admitted between December 2020 and May 2021. Patients who died during hospitalization or were transferred to another hospital were excluded. Demographic and clinical characteristics from index hospitalisation were collected. Subsequent emergency department visits or readmission for acute illness within 90 days post-discharge were recorded, including dates and reasons for return, and readmission outcome. Multivariable logistic regression was used to identify the independent predictors for return to hospital.
Results: A total of 1000 COVID-19 patients were included, and 86 patients [8.6% (95% CI: 7.0–10.5] returned to the hospital within 90 days post-discharge. Most returns (n = 52, (60.5%), occurred within two weeks of discharge. Multivariable analysis identified chronic kidney disease (AOR=3.11, 95% CI: 1.40-4.90) and complication with organizing pneumonia (AOR=3.17, 95% CI: 1.36-7.40) as independent predictors for return to hospital. Additionally, the combination of underlying cardiac disease and concomitant bacterial infection significantly increased the risk (AOR=5.47, 95% CI: 2.57-11.24).
Conclusions: Several factors, including underlying medical conditions and complications during admission, were independent predictors of hospital returns. These factors should be carefully addressed prior to discharge to reduce readmission risk.
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