Characteristics, risk factors, and outcomes associated with readmission in COVID-19 patients: A systematic review and meta-analysis

Am J Emerg Med. 2022 Feb:52:166-173. doi: 10.1016/j.ajem.2021.12.012. Epub 2021 Dec 11.

Abstract

Background: We aimed to determine the characteristics, risk factors, and outcomes associated with readmission in COVID-19 patients.

Methods: PubMed, Embase, Web of Science, and Scopus databases were searched to retrieve articles on readmitted COVID-19 patients, available up to September 25, 2021. All studies comparing characteristics of readmitted and non-readmitted COVID-19 patients were included. We also included articles reporting the reasons for readmission in COVID-19 patients. Data were pooled and meta-analyzed using random or fixed-effect models, as appropriate. Subgroup analyses were conducted based on the place and duration of readmission.

Results: Our meta-analysis included 4823 readmitted and 63,413 non-readmitted COVID-19 patients. The re-hospitalization rate was calculated at 9.3% with 95% Confidence Interval (CI) [5.5%-15.4%], mostly associated with respiratory or cardiac complications (48% and 14%, respectively). Comorbidities including cerebrovascular disease (Odds Ratio (OR) = 1.812; 95% CI [1.547-2.121]), cardiovascular (2.173 [1.545-3.057]), hypertension (1.608 [1.319-1.960]), ischemic heart disease (1.998 [1.495-2.670]), heart failure (2.556 [1.980-3.300]), diabetes (1.588 [1.443-1.747]), cancer (1.817 [1.526-2.162]), kidney disease (2.083 [1.498-2.897]), chronic pulmonary disease (1.601 [1.438-1.783]), as well as older age (1.525 [1.175-1.978]), male sex (1.155 [1.041-1.282]), and white race (1.263 [1.044-1.528]) were significantly associated with higher readmission rates (P < 0.05 for all instances). The mortality rate was significantly lower in readmitted patients (OR = 0.530 [0.329-0.855], P = 0.009).

Conclusions: Male sex, white race, comorbidities, and older age were associated with a higher risk of readmission among previously admitted COVID-19 patients. These factors can help clinicians and policy-makers predict, and conceivably reduce the risk of readmission in COVID-19 patients.

Keywords: COVID-19; Emergency department; Hospital; Meta-analysis; Readmission; Risk factor; Systematic review.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Age Factors
  • COVID-19 / complications*
  • COVID-19 / therapy*
  • Cardiovascular Diseases / complications
  • Diabetes Complications
  • Emergency Service, Hospital / statistics & numerical data
  • Humans
  • Kidney Diseases / complications
  • Lung Diseases / complications
  • Neoplasms / complications
  • Patient Readmission / statistics & numerical data*
  • Race Factors
  • Risk Factors
  • SARS-CoV-2
  • Sex Factors