{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T03:06:26Z","timestamp":1771038386792,"version":"3.50.1"},"reference-count":23,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,2,5]],"date-time":"2021-02-05T00:00:00Z","timestamp":1612483200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Intern Med"],"published-print":{"date-parts":[[2021,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>There are limited data on the characteristics of 30\u2010day readmission after hospitalization with coronavirus disease 2019 (COVID\u201019).<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>To examine the rate, timing, causes, predictors and outcomes of 30\u2010day readmission after COVID\u201019 hospitalization.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>From 13 March to 9 April 2020, all patients hospitalized with COVID\u201019 and discharged alive were included in this retrospective observational study. Multivariable logistic regression was used to identify the predictors of 30\u2010day readmission, and a restricted cubic spline function was utilized to assess the linearity of the association between continuous predictors and 30\u2010day readmission.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of 1062 patients were included in the analysis, with a median follow\u2010up time of 62\u00a0days. The mean age of patients was 56.5\u00a0years, and 40.5% were women. At the end of the study, a total of 48 (4.5%) patients were readmitted within 30\u00a0days of discharge, and a median time to readmission was 5\u00a0days. The most common primary diagnosis of 30\u2010day 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 \u22651.29\u00a0mg\/dL during the index hospitalization, compared to those with a creatinine of &lt;1.29\u00a0mg\/dL, had 2.4 times increased risk of 30\u2010day readmission (adjusted odds ratio: 2.41; 95% CI: 1.23\u20134.74). The mortality rate during the readmission was 22.9%.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>With 4.5% of the thirty\u2010day readmission rate, COVID\u201019 survivors were readmitted early after hospital discharge, mainly due to morbidities of COVID\u201019. One in five readmitted COVID\u201019 survivors died during their readmission.<\/jats:p><\/jats:sec>","DOI":"10.1111\/joim.13241","type":"journal-article","created":{"date-parts":[[2021,1,16]],"date-time":"2021-01-16T10:48:30Z","timestamp":1610794110000},"page":"157-165","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["Assessment of thirty\u2010day readmission rate, timing, causes and predictors after hospitalization with COVID\u201019"],"prefix":"10.1111","volume":"290","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8825-0757","authenticated-orcid":false,"given":"I.","family":"Yeo","sequence":"first","affiliation":[{"name":"From the Division of Cardiology Department of Medicine New York\u2010Presbyterian Queens Flushing NY USA"},{"name":"Graduate School of Biomedical Science Icahn School of Medicine at Mount Sinai New York NY 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