Abstract:

Objective To discuss the risk factors for cognitive frailty in the elderly patients with chronic diseases，and to construct the corresponding risk model. Methods The general clinical data of 207 elderly patients with chronic diseases were collected.The FRAIL Scale and the Montreal Cognitive Assessment Questionnaire（MoCA） were used to detect the status of cognitive frailty of the patients， and the patients were divided into cognitive frailty group （n=75） and non-cognitive frailty group （n=132）. Univariate and binary Logistic regression analysis were used to identify the risk factors associated with cognitive frailty in the elderly patients. Results Among the 207 elderly patients， a total of 75 cases （36.23%） had cognitive frailty. There were significant differences in age， body mass index （BMI）， physical exercise， job category， social activity， night sleep time， daytime mental status， and number of chronic diseases of the patients between two groups（P<0.05）. After propensity score matching for age， the binary Logistic regression analysis results showed that low BMI， physically labour， night sleep time≤5 h， poor daytime mental status， and more than two chronic diseases were the risk factors for the cognitive frailty. The receiver operating characteristic curve （ROC） analysis results showed the area under curve（AUC） was 0.87 for the risk model constructed in this study to distinguish the patients’ cognitive frailty. Conclusion The risk model constructed based on the risk factors in this study has good predictive efficacy for cognitive frailty in the elderly patients，and its has potential clinical application prospects.

Key words: Risk model, Elderly, Cognitive frailty, Risk factor, Chronic disease