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Clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease

BACKGROUND: The spread of the novel severe acute respiratory syndrome coronavirus 2 infection has been prolonged, with the highly contagious Omicron variant becoming the predominant variant by 2022. Many patients admitted to dedicated coronavirus disease 2019 (COVID-19) wards (COVID-19 treatment uni...

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Autores principales: Kawamura, Koki, Osawa, Aiko, Tanimoto, Masanori, Kagaya, Hitoshi, Matsuura, Toshihiro, Arai, Hidenori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347876/
https://www.ncbi.nlm.nih.gov/pubmed/37442988
http://dx.doi.org/10.1186/s12877-023-04133-4
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author Kawamura, Koki
Osawa, Aiko
Tanimoto, Masanori
Kagaya, Hitoshi
Matsuura, Toshihiro
Arai, Hidenori
author_facet Kawamura, Koki
Osawa, Aiko
Tanimoto, Masanori
Kagaya, Hitoshi
Matsuura, Toshihiro
Arai, Hidenori
author_sort Kawamura, Koki
collection PubMed
description BACKGROUND: The spread of the novel severe acute respiratory syndrome coronavirus 2 infection has been prolonged, with the highly contagious Omicron variant becoming the predominant variant by 2022. Many patients admitted to dedicated coronavirus disease 2019 (COVID-19) wards (COVID-19 treatment units) develop disuse syndrome while being treated in the hospital, and their ability to perform activities of daily living declines, making it difficult for hospitals to discharge them. This study aimed to investigate the relationship between the degree of frailty and home discharge of patients admitted to a COVID-19 treatment units. METHODS: This study retrospectively examined the in-patient medical records of 138 patients (82.7 ± 7.6 years old) admitted to a COVID-19 treatment unit from January to December 2022. The end-point was to determine the patients’ ability to be discharged from the unit directly to home; such patients were classified into the ‘Home discharge’ group and compared with those in the ‘Difficulty in discharge’ group. The degree of frailty was determined based on the Clinical Frailty Scale (CFS), and the relationship with the endpoint was analysed. A receiver operating characteristic (ROC) curve was created and the cut-off value was calculated with the possibility of home discharge as the state variable and CFS as the test variable. Logistic regression analysis was conducted with the possibility of home discharge as the dependent variable and CFS as the independent variable. RESULTS: There were 75 patients in the Home discharge group and 63 in the Difficulty in discharge group. ROC analysis showed a CFS cut-off value of 6 or more, with a sensitivity of 70.7% and a specificity of 84.1%. The results of the logistic regression analysis showed a significant correlation between possibility of home discharge and CFS even after adjusting for covariates, with an odds ratio of 13.44. CONCLUSIONS: Based on the evaluation of the degree of frailty conducted in the COVID-19 treatment unit, it was possible to accurately predict whether a patient could be discharged directly to home after treatment CFS could be an effective screening tool to easily detect patients requiring ongoing hospitalisation even after the acute phase of treatment.
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spelling pubmed-103478762023-07-15 Clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease Kawamura, Koki Osawa, Aiko Tanimoto, Masanori Kagaya, Hitoshi Matsuura, Toshihiro Arai, Hidenori BMC Geriatr Research BACKGROUND: The spread of the novel severe acute respiratory syndrome coronavirus 2 infection has been prolonged, with the highly contagious Omicron variant becoming the predominant variant by 2022. Many patients admitted to dedicated coronavirus disease 2019 (COVID-19) wards (COVID-19 treatment units) develop disuse syndrome while being treated in the hospital, and their ability to perform activities of daily living declines, making it difficult for hospitals to discharge them. This study aimed to investigate the relationship between the degree of frailty and home discharge of patients admitted to a COVID-19 treatment units. METHODS: This study retrospectively examined the in-patient medical records of 138 patients (82.7 ± 7.6 years old) admitted to a COVID-19 treatment unit from January to December 2022. The end-point was to determine the patients’ ability to be discharged from the unit directly to home; such patients were classified into the ‘Home discharge’ group and compared with those in the ‘Difficulty in discharge’ group. The degree of frailty was determined based on the Clinical Frailty Scale (CFS), and the relationship with the endpoint was analysed. A receiver operating characteristic (ROC) curve was created and the cut-off value was calculated with the possibility of home discharge as the state variable and CFS as the test variable. Logistic regression analysis was conducted with the possibility of home discharge as the dependent variable and CFS as the independent variable. RESULTS: There were 75 patients in the Home discharge group and 63 in the Difficulty in discharge group. ROC analysis showed a CFS cut-off value of 6 or more, with a sensitivity of 70.7% and a specificity of 84.1%. The results of the logistic regression analysis showed a significant correlation between possibility of home discharge and CFS even after adjusting for covariates, with an odds ratio of 13.44. CONCLUSIONS: Based on the evaluation of the degree of frailty conducted in the COVID-19 treatment unit, it was possible to accurately predict whether a patient could be discharged directly to home after treatment CFS could be an effective screening tool to easily detect patients requiring ongoing hospitalisation even after the acute phase of treatment. BioMed Central 2023-07-13 /pmc/articles/PMC10347876/ /pubmed/37442988 http://dx.doi.org/10.1186/s12877-023-04133-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Kawamura, Koki
Osawa, Aiko
Tanimoto, Masanori
Kagaya, Hitoshi
Matsuura, Toshihiro
Arai, Hidenori
Clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease
title Clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease
title_full Clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease
title_fullStr Clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease
title_full_unstemmed Clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease
title_short Clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease
title_sort clinical frailty scale is useful in predicting return-to-home in patients admitted due to coronavirus disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347876/
https://www.ncbi.nlm.nih.gov/pubmed/37442988
http://dx.doi.org/10.1186/s12877-023-04133-4
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