The burden of frailty in heart failure: Prevalence, impacts on clinical outcomes and the role of heart failure medications

Author:

Lai Hsi‐Yu1,Huang Shih‐Tsung2,Anker Stefan D.3,von Haehling Stephan45,Akishita Masahiro6,Arai Hidenori7,Chen Liang‐Kung289ORCID,Hsiao Fei‐Yuan11011ORCID

Affiliation:

1. Graduate Institute of Clinical Pharmacy, College of Medicine National Taiwan University Taipei Taiwan

2. Center for Healthy Longevity and Aging Sciences National Yang Ming Chiao Tung University Taipei Taiwan

3. Department of Cardiology (CVK) of German Heart Center Charité; Institute of Health Center for Regenerative Therapies (BCRT), German Centre for Cardiovascular Research (DZHK) partner site Berlin Charité Universitätsmedizin Berlin Berlin Germany

4. Department of Cardiology and Pneumology University of Göttingen Medical Center Göttingen Germany

5. German Centre for Cardiovascular Research (DZHK) partner site Göttingen, Göttingen Göttingen Germany

6. Department of Geriatric Medicine University of Tokyo Tokyo Japan

7. National Center for Geriatrics and Gerontology Obu Japan

8. Center for Geriatrics and Gerontology Taipei Veterans General Hospital Taipei Taiwan

9. Taipei Municipal Gan‐Dau Hospital (Managed by Taipei Veterans General Hospital) Taipei Taiwan

10. School of Pharmacy College of Medicine, National Taiwan University Taipei Taiwan

11. Department of Pharmacy National Taiwan University Hospital Taipei Taiwan

Abstract

AbstractBackgroundFrailty often coexists with heart failure (HF), which significantly aggravates the clinical outcomes of older adults. However, studies investigating the interplay between frailty and HF in older adults are scarce. We aimed to assess the prevalence of frailty using the cumulative deficit approach and evaluate the impacts of frailty on health utilization, use of HF‐related medications and adverse clinical outcomes (all‐cause mortality, all‐cause readmissions and HF readmissions) among older HF patients.MethodsA total of 38 843 newly admitted HF patients were identified from Taiwan's National Health Insurance Research Database and categorized into three frailty subgroups (fit, mild frailty and severe frailty) based on the multimorbidity frailty index. Cox regression models and Fine and Gray subdistribution hazard models were used to estimate the impacts of frailty on clinical outcomes at 1 and 2 years of follow‐up. Generalized estimating equation models were further conducted to evaluate the associations between longitudinal and time‐varying use of HF‐related medications and clinical outcomes among distinct frailty subgroups.ResultsOf 38 843 older HF patients (mean age 80.4 ± 8.5 years, 52.3% females) identified, 68.3% were categorized as frail (47.5% of mild frailty and 20.8% of severe frailty). The median number of readmissions (fit: 1 [inter‐quartile range—IQR 2], mild frailty: 1 [IQR 2] and severe frailty: 2 [IQR 3]) increased with the severity of frailty. Only 27.3% of HF patients died of cardiovascular diseases regardless of their frailty status. Compared with the fit group, the severe frailty group was associated with increased risk of all‐cause mortality (adjusted hazard ratio 1.16, 95% confidence interval [CI] 1.11–1.21), all‐cause readmissions (subdistributional hazard ratio (sHR) 1.21, 95% CI 1.16–1.25) and HF‐related readmissions (sHR 1.14, 95% CI 1.09–1.20) at 2 years of follow‐up. Those who used triple or more HF‐related medications were at lower risk for all‐cause readmissions (adjusted odds ratio [aOR] 0.49, 95% CI 0.44–0.54) and HF‐related readmissions (aOR 0.42, 95% CI 0.37–0.47) at 2 years of follow‐up even in the severe frailty group.ConclusionsFrailty is highly prevalent and associated with increased risk of all‐cause mortality, all‐cause readmissions and HF readmissions among older HF patients. Those who were using triple or more HF‐related medications were at lower risk of adverse clinical outcomes across distinct frailty subgroups. Further studies are needed to optimize the treatment strategies for older HF patients with distinct frailty status.

Funder

National Science and Technology Council

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3