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Factors predicting readmission in patients with COVID-19

OBJECTIVE: COVID-19 has been introduced by the World Health Organization as a health emergency worldwide. Up to 9% of the patients with COVID-19 may be readmitted by 2 months after discharge. This study aimed to estimate the readmission rate and identify main risk factors for readmission in these pa...

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Autores principales: Nematshahi, Mohammad, Soroosh, Davood, Neamatshahi, Mahboubeh, Attarian, Fahimeh, Rahimi, Faeze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474946/
https://www.ncbi.nlm.nih.gov/pubmed/34565442
http://dx.doi.org/10.1186/s13104-021-05782-7
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author Nematshahi, Mohammad
Soroosh, Davood
Neamatshahi, Mahboubeh
Attarian, Fahimeh
Rahimi, Faeze
author_facet Nematshahi, Mohammad
Soroosh, Davood
Neamatshahi, Mahboubeh
Attarian, Fahimeh
Rahimi, Faeze
author_sort Nematshahi, Mohammad
collection PubMed
description OBJECTIVE: COVID-19 has been introduced by the World Health Organization as a health emergency worldwide. Up to 9% of the patients with COVID-19 may be readmitted by 2 months after discharge. This study aimed to estimate the readmission rate and identify main risk factors for readmission in these patients. In this prospective study, 416 discharged COVID patients followed up with a minimum 1 month and the readmission rate was recorded. Evaluated characteristics included time of readmission, age and sex, main symptoms of disease, result of computed tomography scan, reverse transcription polymerase chain reaction test and treatment modalities. RESULTS: Regarding readmission, 51 patients of 416 discharged patients, was readmitted during the study period. The rate of readmission for 30 and 60 days after discharge was 7.6% and 8.1%, respectively. The median age of the readmitted patients was 67 years (IQR: 53–78). About 65% of readmitted patients had underlying disease. The most significant factor in readmission rate was related to the site of lung involvement (OR > 4). Age over 60 years, underlying disease especially diabetes (OR = 3.43), high creatinine level (≥ to 1.2 mg/dl) (OR = 2.15) were the most important predictors of readmission. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-021-05782-7.
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spelling pubmed-84749462021-09-28 Factors predicting readmission in patients with COVID-19 Nematshahi, Mohammad Soroosh, Davood Neamatshahi, Mahboubeh Attarian, Fahimeh Rahimi, Faeze BMC Res Notes Research Note OBJECTIVE: COVID-19 has been introduced by the World Health Organization as a health emergency worldwide. Up to 9% of the patients with COVID-19 may be readmitted by 2 months after discharge. This study aimed to estimate the readmission rate and identify main risk factors for readmission in these patients. In this prospective study, 416 discharged COVID patients followed up with a minimum 1 month and the readmission rate was recorded. Evaluated characteristics included time of readmission, age and sex, main symptoms of disease, result of computed tomography scan, reverse transcription polymerase chain reaction test and treatment modalities. RESULTS: Regarding readmission, 51 patients of 416 discharged patients, was readmitted during the study period. The rate of readmission for 30 and 60 days after discharge was 7.6% and 8.1%, respectively. The median age of the readmitted patients was 67 years (IQR: 53–78). About 65% of readmitted patients had underlying disease. The most significant factor in readmission rate was related to the site of lung involvement (OR > 4). Age over 60 years, underlying disease especially diabetes (OR = 3.43), high creatinine level (≥ to 1.2 mg/dl) (OR = 2.15) were the most important predictors of readmission. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-021-05782-7. BioMed Central 2021-09-26 /pmc/articles/PMC8474946/ /pubmed/34565442 http://dx.doi.org/10.1186/s13104-021-05782-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Note
Nematshahi, Mohammad
Soroosh, Davood
Neamatshahi, Mahboubeh
Attarian, Fahimeh
Rahimi, Faeze
Factors predicting readmission in patients with COVID-19
title Factors predicting readmission in patients with COVID-19
title_full Factors predicting readmission in patients with COVID-19
title_fullStr Factors predicting readmission in patients with COVID-19
title_full_unstemmed Factors predicting readmission in patients with COVID-19
title_short Factors predicting readmission in patients with COVID-19
title_sort factors predicting readmission in patients with covid-19
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8474946/
https://www.ncbi.nlm.nih.gov/pubmed/34565442
http://dx.doi.org/10.1186/s13104-021-05782-7
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