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Updating and Validating the U.S. Veterans Affairs Frailty Index: Transitioning From ICD-9 to ICD-10.
Cheng, David; DuMontier, Clark; Yildirim, Cenk; Charest, Brian; Hawley, Chelsea E; Zhuo, Min; Paik, Julie M; Yaksic, Enzo; Gaziano, J Michael; Do, Nhan; Brophy, Mary; Cho, Kelly; Kim, Dae H; Driver, Jane A; Fillmore, Nathanael R; Orkaby, Ariela R.
Affiliation
  • Cheng D; Biostatistics Center, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
  • DuMontier C; New England ‡, GRECC (Geriatrics Research, Education and Clinical Center), VA Boston Healthcare System, Massachusetts, USA.
  • Yildirim C; Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Charest B; Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.
  • Hawley CE; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, USA.
  • Zhuo M; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, USA.
  • Paik JM; New England ‡, GRECC (Geriatrics Research, Education and Clinical Center), VA Boston Healthcare System, Massachusetts, USA.
  • Yaksic E; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.
  • Gaziano JM; Renal Division, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Do N; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Brophy M; New England ‡, GRECC (Geriatrics Research, Education and Clinical Center), VA Boston Healthcare System, Massachusetts, USA.
  • Cho K; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, USA.
  • Kim DH; Division of Aging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Driver JA; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, USA.
  • Fillmore NR; Boston VA Cooperative Studies Program, Massachusetts, USA.
  • Orkaby AR; Boston University School of Medicine, Massachusetts, USA.
J Gerontol A Biol Sci Med Sci ; 76(7): 1318-1325, 2021 06 14.
Article in En | MEDLINE | ID: mdl-33693638
ABSTRACT

BACKGROUND:

The Veterans Affairs Frailty Index (VA-FI) is an electronic frailty index developed to measure frailty using administrative claims and electronic health records data in Veterans. An update to ICD-10 coding is needed to enable contemporary measurement of frailty.

METHOD:

International Classification of Diseases, ninth revision (ICD-9) codes from the original VA-FI were mapped to ICD-10 first using the Centers for Medicaid and Medicare Services (CMS) General Equivalence Mappings. The resulting ICD-10 codes were reviewed by 2 geriatricians. Using a national cohort of Veterans aged 65 years and older, the prevalence of deficits contributing to the VA-FI and associations between the VA-FI and mortality over years 2012-2018 were examined.

RESULTS:

The updated VA-FI-10 includes 6422 codes representing 31 health deficits. Annual cohorts defined on October 1 of each year included 2 266 191 to 2 428 115 Veterans, for which the mean age was 76 years, 97%-98% were male, 78%-79% were White, and the mean VA-FI was 0.20-0.22. The VA-FI-10 deficits showed stability before and after the transition to ICD-10 in 2015, and maintained strong associations with mortality. Patients classified as frail (VA-FI > 0.2) consistently had a hazard of death more than 2 times higher than nonfrail patients (VA-FI ≤ 0.1). Distributions of frailty and associations with mortality varied with and without linkage to CMS data and with different assessment periods for capturing deficits.

CONCLUSIONS:

The updated VA-FI-10 maintains content validity, stability, and predictive validity for mortality in a contemporary cohort of Veterans aged 65 years and older, and may be applied to ICD-9 and ICD-10 claims data to measure frailty.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Veterans / International Classification of Diseases / Frailty Type of study: Risk_factors_studies Limits: Aged / Humans / Male Country/Region as subject: America do norte Language: En Journal: J Gerontol A Biol Sci Med Sci Journal subject: GERIATRIA Year: 2021 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Veterans / International Classification of Diseases / Frailty Type of study: Risk_factors_studies Limits: Aged / Humans / Male Country/Region as subject: America do norte Language: En Journal: J Gerontol A Biol Sci Med Sci Journal subject: GERIATRIA Year: 2021 Document type: Article Affiliation country: Estados Unidos