Construction of risk prediction model for frailty and pre-frailty in patients with maintenance hemodialysis
QING Wei
ZOU Zhaohua
YI Zihan
XU Xingying
XIONG Hong
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.
Keywords：maintenance hemodialysisfrailtypre-frailtyinfluencing factorsprediction modelNomogramnursing
Publication Date：2024-01-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 233-239 )