Objective This study aimed to investigate the current status of cognitive frailty(CF)in main-tenance hemodialysis(MHD)patients and to analyze the influencing factors for CF.Methods A total of 258 MHD patients from July to October 2022 were recruited by a convenient sampling method.CF was assessed using the Montreal cognitive assessment(MoCA),frailty phenotype assessment,and clinical dementia rating(CDR)scale.Univariate and multivariate logistic regression analyses were conducted to identify the risk fac-tors for CF.A CF risk prediction model was then developed,and a nomogram was constructed.The perfor-mance of the nomogram was assessed using area under the curve and calibration plots.Results The preva-lence of CF in the surveyed MHD patients was 16.67％.Multivariate logistic regression revealed that the calf muscle circumference(OR=0.938,95％CI:0.883～0.996,P=0.038),five-times-sit-to-stand test(OR=1.098,95％CI:1.023～1.178,P=0.009),the sarcopenia screening scale of SARC-F score(OR=0.938,95％CI:0.883～0.996,P=0.038),and the geriatric depression scale of GDS-15 score(OR=0.938,95％CI:0.883～0.996,P=0.038)were the independent factors influencing CF in MHD patients.Univariate and multivariate logistic re-gression analyses were conducted to identify the risk factors for CF,and a CF risk prediction model and a no-mogram were then developed.The performance assessment of the nomogram showed that the area under the curve was 0.842(95％CI:0.779～0.905)and the Hosmer and Lemeshow goodness of fit test was x2=5.163 and P=0.740.Conclusion The prevalence of CF is high in MHD patients.Healthcare professionals should prioritize the sarcopenia and depression screening and the related somatic measures to enable early identifica-tion and intervention of CF,thus delaying the onset and progression of CF in MHD patients.
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