維持性血液透析病人衰弱及衰弱前期風(fēng)險預(yù)測模型的構(gòu)建

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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

School of Nursing， Southwest Medical University， Sichuan 646000 China

Corresponding Author  XIONG Hong， E?mail： [email protected]

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，F(xiàn)ried 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，F(xiàn)TSST 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 hemodialysis； frailty； pre?frailty；influencing factors； prediction model； Nomogram； nursing

摘要  目的：分析維持性血液透析（MHD）病人發(fā)生衰弱或處于衰弱前期的影響因素，構(gòu)建MHD病人衰弱及衰弱前期風(fēng)險預(yù)測模型。（剩余14546字）