Objective  To explore the influencing factors of frailty in elderly patients with ischemic stroke, and construct a risk prediction model for frailty, so as to provide a reference for early identification and prevention of frailty.

Methods  A total of 231 elderly patients with ischemic stroke were selected by convenience sampling method, and divided into the frailty group and non-frailty group according to whether the frailty occurred.Binary logistic regression was used to analyze the independent influencing factors of frailty.The Hosmer-Lemeshow test and receiver operating characteristic (ROC) curve were used to test the goodness of fit and prediction effect of model, respectively.

Results  The incidence rate of frailty in 231 patients was 47.18%(109/231).Thr age(OR=1.095, P < 0.01), physical exercise(OR=1.944, P < 0.01), nutritional risk(OR=2.709, P < 0.01), ADL impairment (OR=2.095, P < 0.05), neurological function(OR=2.112, P < 0.05) and B-APQ score(OR=1.047, P < 0.05) were the independent factors of occurrence of frailty.The regression model had good goodness of fit(P>0.05), and the AUC under ROC curve was 0.780(P < 0.01, 95%CI: 0.721-0.839), the Yoden index was 0.487, the optimal critical value was 0.416, the sensitivity was 80.7%, the specificity was 68.0%, and the actual application accuracy was 74.0%.

Conclusions  Elderly patients with ischemic stroke have a high incidence of frailty.Clinical attention should be paid to the patients with old age, low activity, high nutritional risk, need dependence, weak neurological function and self-perceived aging.The prediction of frailty risk model in elderly patients with ischemic stroke is good, which can provide clinical reference in the risk assessment and implementation of intervention programs for frailty.