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Comparison between FRAIL Scale and Clinical Frailty Scale in predicting hospitalization in hemodialysis patients
BACKGROUND: To assess the prevalence of frailty by the Clinical Frailty Scale (CFS) and the 5-item FRAIL scale and their association with hospitalization in hemodialysis (HD) patients. METHODS: This was a prospective observational study. We included patients of both genders ≥ 18 years old in HD trea...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773694/ https://www.ncbi.nlm.nih.gov/pubmed/36547774 http://dx.doi.org/10.1007/s40620-022-01532-5 |
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author | Barbosa, Elisabete Mouzinho Soares Pereira, Amanda Gomes Mori, Vitória da Silva Neves, Renan Vieira, Nayane Maria Silva, Maryanne Zilli Canedo Seki, Marcos Mitsuo Rodrigues, Hellen Christina Neves Costa, Nara Aline Ponce, Daniela Balbi, André Luís Zornoff, Leonardo Antonio Mamede Azevedo, Paula Schmidt Polegato, Bertha Furlan de Paiva, Sérgio Alberto Rupp Minicucci, Marcos Ferreira de Souza Dorna, Mariana |
author_facet | Barbosa, Elisabete Mouzinho Soares Pereira, Amanda Gomes Mori, Vitória da Silva Neves, Renan Vieira, Nayane Maria Silva, Maryanne Zilli Canedo Seki, Marcos Mitsuo Rodrigues, Hellen Christina Neves Costa, Nara Aline Ponce, Daniela Balbi, André Luís Zornoff, Leonardo Antonio Mamede Azevedo, Paula Schmidt Polegato, Bertha Furlan de Paiva, Sérgio Alberto Rupp Minicucci, Marcos Ferreira de Souza Dorna, Mariana |
author_sort | Barbosa, Elisabete Mouzinho Soares |
collection | PubMed |
description | BACKGROUND: To assess the prevalence of frailty by the Clinical Frailty Scale (CFS) and the 5-item FRAIL scale and their association with hospitalization in hemodialysis (HD) patients. METHODS: This was a prospective observational study. We included patients of both genders ≥ 18 years old in HD treatment for at least 3 months. Demographic, clinical, and routine laboratory data were retrieved from the medical charts. Two different frailty assessment tools were used, the CFS and the FRAIL scale. Participants were followed up for 9 months and hospitalizations for all causes were evaluated. A Venn diagram was constructed to show the overlap of possible frailty and pre-frailty. Cox regression was used to identify the association between frailty and hospitalization. The significance level was 5%. RESULTS: A total of 137 subjects were included in the analysis. The median age was 61 (52–67) years and 60% were male. The hospitalization rate and mortality in 9 months were 22.6% and 7.29%, respectively. Regarding frailty, the overall prevalence was 13.8% assessed by CFS and 36.5% according to the FRAIL scale. In the Cox regression, frailty by FRAIL scale was associated with a 2.8-fold increase in the risk of hospitalization (OR = 2.880; 95% CI = 1.361–6.096; p = 0.006), but frailty assessed by the CFS was not associated with the need for hospitalization. CONCLUSION: In HD patients, the FRAIL scale proved to be an easy-to-apply tool, identifying a high prevalence of frailty and being a predictor of hospital admission. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40620-022-01532-5. |
format | Online Article Text |
id | pubmed-9773694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-97736942022-12-22 Comparison between FRAIL Scale and Clinical Frailty Scale in predicting hospitalization in hemodialysis patients Barbosa, Elisabete Mouzinho Soares Pereira, Amanda Gomes Mori, Vitória da Silva Neves, Renan Vieira, Nayane Maria Silva, Maryanne Zilli Canedo Seki, Marcos Mitsuo Rodrigues, Hellen Christina Neves Costa, Nara Aline Ponce, Daniela Balbi, André Luís Zornoff, Leonardo Antonio Mamede Azevedo, Paula Schmidt Polegato, Bertha Furlan de Paiva, Sérgio Alberto Rupp Minicucci, Marcos Ferreira de Souza Dorna, Mariana J Nephrol Original Article BACKGROUND: To assess the prevalence of frailty by the Clinical Frailty Scale (CFS) and the 5-item FRAIL scale and their association with hospitalization in hemodialysis (HD) patients. METHODS: This was a prospective observational study. We included patients of both genders ≥ 18 years old in HD treatment for at least 3 months. Demographic, clinical, and routine laboratory data were retrieved from the medical charts. Two different frailty assessment tools were used, the CFS and the FRAIL scale. Participants were followed up for 9 months and hospitalizations for all causes were evaluated. A Venn diagram was constructed to show the overlap of possible frailty and pre-frailty. Cox regression was used to identify the association between frailty and hospitalization. The significance level was 5%. RESULTS: A total of 137 subjects were included in the analysis. The median age was 61 (52–67) years and 60% were male. The hospitalization rate and mortality in 9 months were 22.6% and 7.29%, respectively. Regarding frailty, the overall prevalence was 13.8% assessed by CFS and 36.5% according to the FRAIL scale. In the Cox regression, frailty by FRAIL scale was associated with a 2.8-fold increase in the risk of hospitalization (OR = 2.880; 95% CI = 1.361–6.096; p = 0.006), but frailty assessed by the CFS was not associated with the need for hospitalization. CONCLUSION: In HD patients, the FRAIL scale proved to be an easy-to-apply tool, identifying a high prevalence of frailty and being a predictor of hospital admission. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40620-022-01532-5. Springer International Publishing 2022-12-22 2023 /pmc/articles/PMC9773694/ /pubmed/36547774 http://dx.doi.org/10.1007/s40620-022-01532-5 Text en © The Author(s) under exclusive licence to Italian Society of Nephrology 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Barbosa, Elisabete Mouzinho Soares Pereira, Amanda Gomes Mori, Vitória da Silva Neves, Renan Vieira, Nayane Maria Silva, Maryanne Zilli Canedo Seki, Marcos Mitsuo Rodrigues, Hellen Christina Neves Costa, Nara Aline Ponce, Daniela Balbi, André Luís Zornoff, Leonardo Antonio Mamede Azevedo, Paula Schmidt Polegato, Bertha Furlan de Paiva, Sérgio Alberto Rupp Minicucci, Marcos Ferreira de Souza Dorna, Mariana Comparison between FRAIL Scale and Clinical Frailty Scale in predicting hospitalization in hemodialysis patients |
title | Comparison between FRAIL Scale and Clinical Frailty Scale in predicting hospitalization in hemodialysis patients |
title_full | Comparison between FRAIL Scale and Clinical Frailty Scale in predicting hospitalization in hemodialysis patients |
title_fullStr | Comparison between FRAIL Scale and Clinical Frailty Scale in predicting hospitalization in hemodialysis patients |
title_full_unstemmed | Comparison between FRAIL Scale and Clinical Frailty Scale in predicting hospitalization in hemodialysis patients |
title_short | Comparison between FRAIL Scale and Clinical Frailty Scale in predicting hospitalization in hemodialysis patients |
title_sort | comparison between frail scale and clinical frailty scale in predicting hospitalization in hemodialysis patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9773694/ https://www.ncbi.nlm.nih.gov/pubmed/36547774 http://dx.doi.org/10.1007/s40620-022-01532-5 |
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