房颤合并衰弱影响因素分析及肌少症与衰弱关联性OA
Factors associated with frailty in patients with atrial fibrillation and the relationship between sarcopenia and frailty
目的 探讨心房颤动患者并发衰弱的独立危险因素,以及探讨房颤类型及持续时间对衰弱影响,此外检测肌少症与衰弱的关联,为预防和治疗衰弱提供参考.方法 筛选符合条件心房颤动患者136例,运用Fried表型衰弱量表进行评估,分为衰弱组(75例)和非衰弱组(61例),单因素筛选后纳入多因素二元logistic回归模型分析影响因素,应用Pearson x2检验、线性关联卡方检验、Sperman等级r相关对房颤类型、构成比例、持续时间进行衰弱关联性分析,以Sperman等级r相关及受试者工作特征曲线(ROC)检验模型,检测肌少症与衰弱关联性.结果 研究显示房颤人群衰弱发生率为55.15%,年龄、心功能分级、脑钠肽(BNP)、D-二聚体(D-Dimer)、左室收缩末径、SARC-F评分、Charlson评分等多项指标是独立影响因素,可独立干预房颤患者是否发生衰弱,风险系数OR处于1.228~1.510之间.白蛋白(ALB)、左心室射血分数(LVEF)、MNA-SF评分为保护性指标(OR值均<1.0),增长与衰弱成负性相关;房颤亚组中持续性房颤占比,衰弱组(41.3%,31/75)低于非衰弱组(65.6%,40/61)组间差异有统计学意义;永久性房颤占比,衰弱组(49.3%,37/75)高于非衰弱组(26.2%,16/61),组间差异有统计学意义;房颤持续时间与衰弱等级进行关联,线性关联x2检验列联系数为0.554,x2=47.113,P<0.01差异有统计学意义,两变量之间已经存在显著关联性.Sperman等级r相关系数rs=0.623,P<0.05,进一步说明变量间呈中强度线性正相关,结合两项数据提示房颤持续时间与衰弱等级之间存在线性正相关性关联,相关系数在0.6左右.肌少症SARC-F评分与衰弱等级Sperman等级r相关系数rs=0.6831 95%CI:0.442-0.802,P<0.05;SARC-F评分与衰弱呈中强正相关,ROC曲线模型示AUC面积0.786 95%CI:0.695-0.877,P<0.01,约登指数为0.474,最佳临界值为4.2,敏感度为0.723,特异度0.751,实际应用正确率为0.738,意味着SARC-F评分以4.2为临界值可判定是否存在衰弱,准确率达75%左右对衰弱发生有良好预测价值.结论 心房颤动患者衰弱发生率较高,年龄、心功能分级、ALB、BNP、D-Dimer、LVEF、左室收缩末径、SARC-F评分、Charlson评分、MNA-SF评分等多个因素影响衰弱发生,ALB、LVEF、MNA-SF评分等为保护性指标增长与衰弱发生成负性相关;肌少症与衰弱呈中强正相关,ROC曲线模型提示SARC-F评分以4.2为临界值可显著预测衰弱发生,准确率达75%,持续性房颤和永久性房颤患者衰弱发生比率相差很大,提示持续性房颤期间药物转复、电击及射频等手段达到很好的逆转效果,此外房颤持续时间与衰弱发生显著正相关,进一步预示着抓住时机转复窦律及射频消融价值.
Objective To investigate independent risk factors for frailty in patients with atrial fibrillation(AF),to explore the impact of AF type and duration on frailty,and to examine the association between sarcopenia and frailty,thereby providing evidence for the prevention and management of frailty in AF patients.Methods A total of 136 patients with atrial fibrillation were enrolled.Frailty was assessed using the Fried frailty phenotype and patients were categorized into a frailty group(n=75)and a non-frailty group(n=61).Variables identified by univariate analysis were entered into a multivariate binary logistic regression model to determine independent influencing factors.Pearson chi-square test,linear-by-linear association chi-square test,and Spearman rank correlation were used to analyze the association be-tween AF type,AF composition,AF duration,and frailty.The relationship between sarcopenia and frailty was evaluated using Spearman rank correlation and receiver operating characteristic(ROC)curve analysis based on the SARC-F score.Results The prevalence of frailty among patients with atrial fibrillation was 55.15%.Multivariate analysis identified age,cardiac function class,B-type natriuretic peptide(BNP),D-dimer,left ventricular end-systolic diameter,SARC-F score,and Charlson Comorbidity Index as independent risk factors for frailty,with odds ratios ranging from 1.228 to 1.510.Serum albumin(ALB),left ventricular ejection fraction(LVEF),and Mini Nutritional Assessment-Short Form(MNA-SF)score were protective factors(OR<1.0),showing a negative association with frailty.In AF subtype analy-sis,the proportion of persistent AF was significantly lower in the frailty group than in the non-frailty group(41.3%vs.65.6%,P<0.05),whereas permanent AF was significantly more prevalent in the frailty group(49.3%vs.26.2%,P<0.01).AF duration was significantly associated with frailty severity(contingency coefficient=0.554,x2=47.113,P<0.01),and Spearman correlation confirmed a moderate positive correlation(r,=0.623,P<0.05).The SARC-F score showed a moderate-to-strong positive correlation with frailty grade(r,=0.683,95%CI:0.442-0.802,P<0.05).ROC analysis demonstrated that the SARC-F score had good predictive value for frailty(AUC=0.786,95%CI:0.695-0.877,P<0.01).A cutoff value of 4.2 yielded a sensitivity of 0.723,specificity of 0.751,and an overall ac-curacy of approximately 75%.Conclusion Frailty is highly prevalent among patients with atrial fibrillation and is influ-enced by multiple clinical,cardiac,nutritional,and functional factors.Serum albumin,LVEF,and MNA-SF score act as protective factors against frailty.Sarcopenia is moderately to strongly associated with frailty,and a SARC-F score ≥4.2 provides good predictive value for frailty.Significant differences in frailty prevalence between persistent and permanent AF,as well as the positive correlation between AF duration and frailty,highlight the importance of timely rhythm control strategies,including pharmacological cardioversion,electrical cardioversion,and catheter ablation,to potentially reduce frailty risk.
孙义润;冯知国;刘向前;张从高;王安才;王德国
安徽医科大学附属滁州医院老年医学科(安徽滁州 239000)安徽医科大学研究生院(安徽 合肥 230032)安徽医科大学附属滁州医院老年医学科(安徽滁州 239000)安徽医科大学附属滁州医院老年医学科(安徽滁州 239000)皖南医学院第一附属医院老年医学科(安徽芜湖 241000)皖南医学院第一附属医院老年医学科(安徽芜湖 241000)
医药卫生
心房颤动肌少症衰弱风险预测模型
atrial fibrillationsarcopeniafrailtyrisk prediction model
《广东医学》 2026 (2)
206-212,7
安徽省科技厅重点研究与开发项目(No2022e07020019)
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