Assessment of thirty-day readmission rate, timing, causes and predictors after hospitalization with COVID-19

I. Yeo, S. Baek, J. Kim, H. Elshakh, A. Voronina, M. S. Lou, J. Vapnik, R. Kaler, X. Dai, S. Goldbarg

Research output: Contribution to journalArticlepeer-review

47 Scopus citations

Abstract

Background: There are 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 13 March to 9 April 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.

Original languageEnglish
Pages (from-to)157-165
Number of pages9
JournalJournal of Internal Medicine
Volume290
Issue number1
DOIs
StatePublished - Jul 2021

Keywords

  • COVID-19
  • epidemiology
  • patient readmission
  • readmission mortality
  • readmission predictor

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