护理研究2024，Vol.38Issue(2)：233-239,7.DOI:10.12102/j.issn.1009-6493.2024.02.007
维持性血液透析病人衰弱及衰弱前期风险预测模型的构建
Construction of risk prediction model for frailty and pre-frailty in patients with maintenance hemodialysis
摘要
Abstract
Objective:To analyze the influencing factors of frailty and pre-frailty in patients with maintenance hemodialysis(MHD),and to construct risk prediction model for frailty and pre-frailty in MHD patients.Methods:A total of 260 patients who underwent MHD treatment in nephrology department of Deyang People's Hospital from July to October 2022 were selected as the research subjects.The general information questionnaire,Fried Frailty Phenotype,Sarcopenia-Five Scale(SARC-F),Geriatric Depression Scale 15(GDS-15),Mini-Mental State Examination(MMSE),Time Up and Go(TUG)and Five-Times-Sit-to-Stand Test(FTSST)were used to evaluate patients.Univariate and multivariate analysis were used to analyse influencing factors of frailty and pre-frailty in MHD patients.Risk prediction model for frailty and pre-frailty in MHD patients was constructed.Results:Among 260 MHD patients,there were 62 frail patients(23.85%)and 144 pre-frail patients(55.38%).Multivariate analysis showed that sedentary behavior,TUG test time,FTSST time,and SARC-F score were the influencing factors of frailty and pre-frailty in MHD patients(P<0.05).The area under the curve of receiver operator characteristic of the risk prediction model based on the influencing factors of frailty and pre-frailty in MHD patients was 0.819,the maximum Youden index was 0.521,sensitivity was 74.3%,specificity was 77.8%,and diagnostic value was 1.272.The results of the Hosmer-Lemeshow goodness of fit test showed that χ2=2.734,P=0.950.Conclusions:The constructed risk prediction model for frailty and pre-frailty in MHD patients has good predictive performance.关键词
维持性血液透析/衰弱/衰弱前期/影响因素/预测模型/列线图/护理Key words
maintenance hemodialysis/frailty/pre-frailty/influencing factors/prediction model/Nomogram/nursing引用本文复制引用
卿伟,邹兆华,易子涵,徐兴英,熊洪..维持性血液透析病人衰弱及衰弱前期风险预测模型的构建[J].护理研究,2024,38(2):233-239,7.基金项目
2021年四川省卫健委医学科技项目,编号:21PJ173 （）
德阳市人民医院孵化课题,编号:FHT202212 （）
