Measuring Frailty Using Self‐Report or Automated Tools to Identify Risk of Cardiovascular Events and Mortality: The Million Veteran Program

Author:

Qazi Saadia1234ORCID,Seligman Benjamin56ORCID,Preis Sarah R.37ORCID,Rane Manas13,Djousse Luc13ORCID,Gagnon David R.37ORCID,Wilson Peter W. F.8910ORCID,Gaziano J. Michael123ORCID,Driver Jane A.14ORCID,Cho Kelly13,Orkaby Ariela R.134ORCID,

Affiliation:

1. Division of Aging Brigham and Women’s Hospital and Harvard Medical School Boston MA USA

2. Division of Cardiology Brigham and Women’s Hospital, Harvard Medical School Boston MA USA

3. Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA

4. New England GRECC, VA Boston Health Care System Boston MA USA

5. Greater Los Angeles GRECC, VA Greater Los Angeles Health Care System Los Angeles CA USA

6. Division of Geriatric Medicine, Department of Medicine David Geffen School of Medicine at UCLA Los Angeles CA USA

7. Department of Biostatistics Boston University School of Public Health Boston MA USA

8. Veterans Affairs Atlanta Healthcare System Decatur GA USA

9. Division of Cardiology Emory University School of Medicine Atlanta GA USA

10. Department of Epidemiology, Rollins School of Public Health Emory University Atlanta GA USA

Abstract

Background Frailty, a syndrome of physiologic vulnerability, increases cardiovascular disease (CVD) risk. Whether in person or automated frailty tools are ideal for identifying CVD risk remains unclear. We calculated 3 distinct frailty scores and examined their associations with mortality and CVD events in the Million Veteran Program, a prospective cohort of nearly 1 million US veterans. Methods and Results Veterans aged ≥50 years and enrolled from 2011 to 2018 were included. Two frailty indices (FI) based on the deficit accumulation theory were calculated: the questionnaire‐based 36‐item Million Veteran Program‐FI and 31‐item Veterans Affairs‐FI using claims data. We calculated Fried physical frailty using the self‐reported, 3‐item Study of Osteoporotic Fractures. Multivariable‐adjusted Cox models examined the association of frailty by each score with primary (all‐cause and CVD mortality) and secondary (myocardial infarction, stroke, and heart failure) outcomes. In 190 688 veterans (69±9 years, 94% male, 85% White), 33, 233 (17%) all‐cause and 10 115 (5%) CVD deaths occurred. Using Million Veteran Program‐FI, 29% were robust, 42% pre‐frail, and 29% frail. Frailty prevalence increased by age group (27% in 50‐59 to 42% in ≥90 years). Using the Million Veteran Program‐FI, over 6±2 years, frail veterans had a higher hazard of all‐cause (hazard ratio [HR], 3.05 [95% CI, 2.95–3.16]) and CVD mortality (HR, 3.65 [95% CI, 3.43–3.90]). Findings were concordant for the Veterans Affairs‐FI and Study of Osteoporotic Fractures frailty definitions, and remained significant even among younger veterans aged 50‐59 years. Conclusions Irrespective of frailty measure, frailty is associated with a higher risk of all‐cause mortality and adverse CVD events. Further study of frailty in veterans aged <60 years old is warranted.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference45 articles.

1. Centers for Disease Control and Prevention . CDC WONDER. [Internet]2021. Accessed February 23 2022. https://wonder.cdc.gov/.

2. Office of Disease Prevention and Health Promotion . Heart disease and stroke. Health People 2030.

3. The Hallmarks of Aging

4. Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty

5. Competing Risk of Death: An Important Consideration in Studies of Older Adults

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