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

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

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? 2021 Elsevier Inc.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.

COVID-19Emergency departmentHospitalMeta-analysisReadmissionRisk factorSystematic review

Akbari A.、Fathabadi A.、Razmi M.、Zarifian A.、Amiri M.、Ghodsi A.、Vafadar Moradi E.

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Student Research Committee Faculty of Medicine Mashhad University of Medical Sciences

Student Research Committee Faculty of Paramedical Sciences Mashhad University of Medical Sciences

Clinical Research Unit Mashhad University of Medical Sciences

Emergency Department Faculty of Medicine Mashhad University of Medical Science

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2022

The American journal of emergency medicine

The American journal of emergency medicine

ISSN:0735-6757
年,卷(期):2022.52
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