Assessment of Thirty-Day Readmission Rate, Timing, Causes, and Predictors after Hospitalization with COVID-19

Link to article at PubMed

J Intern Med. 2021 Jan 16. doi: 10.1111/joim.13241. Online ahead of print.


BACKGROUND: There is limited data on the characteristics of 30-day readmission after hospitalization with coronavirus disease 2019 (COVID-19).

OBJECTIVES: To examine the rate, timing, causes, predictors, and outcomes of 30-day readmission after COVID-19 hospitalization.

METHODS: From March 13 to April 9, 2020, all patients hospitalized with COVID-19 and discharged alive were included in this retrospective observational study. Multivariable logistic regression was used to identify the predictors of 30-day readmission, and a restricted cubic spline function was utilized to assess the linearity of the association between continuous predictors and 30-day readmission.

RESULTS: A total of 1062 patients were included in the analysis, with a median follow-up time of 62 days. The mean age of patients was 56.5 years, and 40.5% were women. At the end of the study, a total of 48 (4.5%) patients were readmitted within 30 days of discharge, and a median time to readmission was 5 days. The most common primary diagnosis of 30-day readmission was a hypoxic respiratory failure (68.8%) followed by thromboembolism (12.5%) and sepsis (6.3%). The patients with a peak serum creatinine level of ≥ 1.29 mg/dL during the index hospitalization, compared to those with a creatinine of < 1.29 mg/dL, had 2.4 times increased risk of 30-day readmission (adjusted odds ratio: 2.41; 95% CI: 1.23-4.74). The mortality rate during the readmission was 22.9%.

CONCLUSION: With 4.5% of the thirty-day readmission rate, COVID-19 survivors were readmitted early after hospital discharge, mainly due to morbidities of COVID-19. One in five readmitted COVID-19 survivors died during their readmission.

PMID:33452824 | DOI:10.1111/joim.13241

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