Occurrence,risk factors and prediction model establishment of chronic heart failure with frailty
Objective To analyze the occurrence and risk factors of frailty in patients with chronic heart failure(CHF),and to establish a logistic prediction model.Methods Totally 166 CHF patients admitted to the hospital from December 2020 to December 2023 were selected to analyze the occurrence of frailty in CHF patients.Multivariate logistic regression analysis was used to analyze the risk factors affecting the occurrence of frailty in CHF patients,and a logistic prediction model was established based on the regression coefficient.Results Among 166 patients with CHF,49.40％(82/166)had frailty.Multivariate logistic regression analysis showed that age(OR=4.464,95％CI:1.487-13.404),number of underlying diseases(OR=4.500,95％CI:1.574-12.866),NYHA cardiac function grading(OR=15.302,95％CI:5.238-44.707),multiple medications(OR=4.080,95％CI:1.121-14.845),NT-proBNP(OR=17.904,95％CI:5.835-54.933)and left atrial diameter(OR=3.529,95％CI:1.264-9.856)were independent risk factors for frailty in CHF pa-tients(P＜0.05).The AUC,sensitivity and specificity of the established logistic prediction model for predicting frailty were 0.932(95％CI:0.893-0.970),91.50％and 83.30％.Conclusion The incidence rate of frailty in CHF patients is high,and its occurrence is closely related to the age of patients,the number of underlying diseases,NYHA cardiac function grading,multiple medications,NT-proBNP and left atrial diameter.The established prediction model has a good predictive effect,which can guide clinical screening of high-risk population with CHF complicated with frailty,so as to provide scientific guidance for the prevention and control of CHF with frailty,and has certain reference value.
Chronic heart failureFrailtyRisk factorsPrediction model
NETL
NSTL
万方数据
