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Comparison between FRAIL Scale and Clinical Frailty Scale in predicting hospitalization in hemodialysis patients

Journal of Nephrology, ISSN: 1724-6059, Vol: 36, Issue: 3, Page: 687-693
2023
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Prevalence, associated factors and clinical implications of medication literacy linked to frailty in hemodialysis patients in China: a cross-sectional study

Abstract Background Maintenance hemodialysis (MHD) patients have complex medication regimens that require a high level of skill to interpret medication information. However, there is currently

Article 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: [Figure not available: see fulltext.].

Bibliographic Details

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

Springer Science and Business Media LLC

Medicine

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