Department of Cardiology Keio University School of Medicine Tokyo Japan.
Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA.
J Am Heart Assoc. 2020 Dec 15;9(24):e016502. doi: 10.1161/JAHA.120.016502. Epub 2020 Dec 7.
Background The aim of this study was to determine whether frailty is associated with increased admission and mortality risk in the setting of heart failure. Methods and Results This retrospective cohort analysis included patients treated within the Veterans Affairs Health System who had () codes for heart failure on 2 or more dates over a 2-year period. The clinical variables identifiable in claims data, such as demographic variables and markers of physical and cognitive dysfunction, were used to identify patients meeting the frailty phenotype. Of 388 785 extracted patients with coding of heart failure between 2015 and 2018, 163 085 patients (41.9%) with ejection fraction (EF) measurement were included in the present analysis (38.3% with reduced EF and 61.7% with preserved EF). There were 16 660 patients (10.2%) who were identified as frail (9.1% in heart failure with reduced EF and 10.9% in heart failure with preserved EF). Frail patients were older, more often depressed, and were likely to have been admitted in the previous year. One-year all-cause mortality rate was 9.7% and 28.1%, and admission rate was 58.1% and 79.5% for nonfrail and frail patients, respectively. Frailty was associated with mortality and admission risk compared with the nonfrail group (adjusted odds ratio [OR], 1.71; 95% CI, 1.65-1.77 for mortality; adjusted OR, 1.29; 95% CI, 1.24-1.34 for admission) independent of EF. Conclusions Frailty based on diagnostic coding was associated with particularly higher risk of mortality despite adjustment for known clinical variables. Our findings underscore the importance of nontraditional parameters in the prognostic assessment.
本研究旨在确定衰弱是否与心力衰竭患者的住院和死亡风险增加有关。
本回顾性队列分析纳入了在退伍军人事务医疗系统内接受治疗的患者,这些患者在两年期间有两次或两次以上心力衰竭的 () 编码。使用索赔数据中可识别的临床变量,如人口统计学变量以及身体和认知功能障碍的标志物,来识别符合衰弱表型的患者。在 2015 年至 2018 年间对心力衰竭进行编码的 388785 名提取患者中,有 163085 名患者(EF 测量值的 41.9%)纳入本分析(38.3%为射血分数降低,61.7%为射血分数保留)。有 16660 名患者(10.2%)被确定为衰弱(射血分数降低的心力衰竭患者中 9.1%,射血分数保留的心力衰竭患者中 10.9%)。衰弱患者年龄较大,更常抑郁,且在过去一年中更可能入院。全因一年死亡率分别为 9.7%和 28.1%,非衰弱和衰弱患者的入院率分别为 58.1%和 79.5%。与非衰弱组相比,衰弱与死亡和入院风险相关(调整后比值比 [OR],1.71;95%置信区间 [CI],1.65-1.77 用于死亡率;调整后 OR,1.29;95% CI,1.24-1.34 用于入院),独立于 EF。
基于诊断编码的衰弱与死亡率风险增加相关,尽管对已知临床变量进行了调整。我们的研究结果强调了非传统参数在预后评估中的重要性。