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Measuring Frailty Using Self-Report or Automated Tools to Identify Risk of Cardiovascular Events and Mortality: The Million Veteran Program.
Qazi, Saadia; Seligman, Benjamin; Preis, Sarah R; Rane, Manas; Djousse, Luc; Gagnon, David R; Wilson, Peter W F; Gaziano, J Michael; Driver, Jane A; Cho, Kelly; Orkaby, Ariela R.
Affiliation
  • Qazi S; Division of Aging Brigham and Women's Hospital and Harvard Medical School Boston MA USA.
  • Seligman B; Division of Cardiology Brigham and Women's Hospital, Harvard Medical School Boston MA USA.
  • Preis SR; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA.
  • Rane M; New England GRECC, VA Boston Health Care System Boston MA USA.
  • Djousse L; Greater Los Angeles GRECC, VA Greater Los Angeles Health Care System Los Angeles CA USA.
  • Gagnon DR; Division of Geriatric Medicine, Department of Medicine David Geffen School of Medicine at UCLA Los Angeles CA USA.
  • Wilson PWF; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA.
  • Gaziano JM; Department of Biostatistics Boston University School of Public Health Boston MA USA.
  • Driver JA; Division of Aging Brigham and Women's Hospital and Harvard Medical School Boston MA USA.
  • Cho K; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA.
  • Orkaby AR; Division of Aging Brigham and Women's Hospital and Harvard Medical School Boston MA USA.
J Am Heart Assoc ; 13(16): e033111, 2024 Aug 20.
Article in En | MEDLINE | ID: mdl-39158558
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardiovascular Diseases / Self Report / Frailty Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: J Am Heart Assoc Year: 2024 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cardiovascular Diseases / Self Report / Frailty Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: J Am Heart Assoc Year: 2024 Type: Article