摘要
Abstract
Objective To explore the influencing factors of frailty and construct the prediction model in patients with chronic heart failure(CHF).Methods A total of 198 patients with CHF admitted to the hospi-tal from December 2022 to January 2025 were enrolled.According to their frailty status,they were divided into non-frailty group(n=127)and frailty group(n=71).The clinical data were collected.The risk factors of frailty in CHF patients were analyzed by univariate and multivariate regression analysises.The prediction model was constructed,and its predictive efficiency was analyzed.Results Among the 198 CHF patients,71 cases(35.86％)had frailty,with a mean score of the Fried Frailty Phenotype Scale of(4.03±0.48)points.Statistically significant differences were observed in age,New York Heart Association(NYHA)functional classification,number of comorbidities,anemia,nutritional risk,sleep quality,social support and depression be-tween the two groups(P<0.05).Logistic regression analysis showed that age≥70 years[odds ratio(OR)=2.469,P<0.001],NYHA functional classification grade Ⅲ-Ⅳ(OR=3.059,P<0.001),number of comor-bidities≥3(OR=2.323,P=0.002),presence of nutritional risk(OR=2.067,P=0.001),poor sleep quality(OR=1.933,P<0.001),low social support(OR=2.028,P<0.001),and depression(OR=2.102,P=0.001)were all independent risk factors for frailty in CHF patients.The Hosmer-Lemeshow test showed that χ2=5.032,P=0.745,indicating a good fit of the regression equation.Receiver Operating Characteristic curve analysis showed that area under the curve of the model for predicting frailty in CHF patients was 0.935(95％CI 0.895-0.975,P<0.05),suggesting good predictive efficiency.Conclusion The incidence of frailty is high in CHF patients and is associated with multiple factors.The constructed prediction model can accurate-ly predict frailty in CHF patients with good application value,which can provide a scientific reference for clini-cians to implement targeted interventions.关键词
慢性疾病/心力衰竭/衰弱/影响因素分析/预测Key words
Chronic disease/Heart failure/Frailty/Root cause analysis/Forecasting分类
医药卫生
