Assessment of thirty-day readmission rate, timing, causes and predictors after hospitalization with COVID-19
Assessment of thirty-day readmission rate, timing, causes and predictors after hospitalization with COVID-19
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DOI:
10.1111/joim.13241
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发表时间:
2021-02-05
影响因子:
11.1
通讯作者:
Goldbarg, S.
中科院分区:
文献类型:
--
作者:
Yeo, I;Baek, S.;Goldbarg, S.
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