Literature DB >> 33693638

Updating and Validating the U.S. Veterans Affairs Frailty Index: Transitioning From ICD-9 to ICD-10.

David Cheng1, Clark DuMontier2,3,4, Cenk Yildirim5, Brian Charest5, Chelsea E Hawley2, Min Zhuo6,7,8, Julie M Paik2, Enzo Yaksic5, J Michael Gaziano3,5, Nhan Do9,10, Mary Brophy5, Kelly Cho5, Dae H Kim4, Jane A Driver2,3, Nathanael R Fillmore5,11, Ariela R Orkaby2,3.   

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. Published by Oxford University Press on behalf of The Gerontological Society of America 2021.

Entities:  

Keywords:  Claims-based frailty index; Electronic frailty index; Epidemiology; Frailty; ICD 9–ICD-10 transition

Mesh:

Year:  2021        PMID: 33693638      PMCID: PMC8202143          DOI: 10.1093/gerona/glab071

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  44 in total

1.  Predicting 5- and 10-Year Mortality Risk in Older Adults With Diabetes.

Authors:  Kevin N Griffith; Julia C Prentice; David C Mohr; Paul R Conlin
Journal:  Diabetes Care       Date:  2020-06-19       Impact factor: 19.112

2.  Estimating and correcting for confounder misclassification.

Authors:  D A Savitz; A E Barón
Journal:  Am J Epidemiol       Date:  1989-05       Impact factor: 4.897

3.  Measuring Frailty in Administrative Claims Data: Comparative Performance of Four Claims-Based Frailty Measures in the U.S. Medicare Data.

Authors:  Dae Hyun Kim; Elisabetta Patorno; Ajinkya Pawar; Hemin Lee; Sebastian Schneeweiss; Robert J Glynn
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-05-22       Impact factor: 6.053

4.  Comparison of two frailty indices in the physicians' health study.

Authors:  Ariela R Orkaby; Tammy T Hshieh; John M Gaziano; Luc Djousse; Jane A Driver
Journal:  Arch Gerontol Geriatr       Date:  2017-02-20       Impact factor: 3.250

5.  Cancer statistics for adults aged 85 years and older, 2019.

Authors:  Carol E DeSantis; Kimberly D Miller; William Dale; Supriya G Mohile; Harvey J Cohen; Corinne R Leach; Ann Goding Sauer; Ahmedin Jemal; Rebecca L Siegel
Journal:  CA Cancer J Clin       Date:  2019-08-07       Impact factor: 508.702

6.  Development of a Claims-based Frailty Indicator Anchored to a Well-established Frailty Phenotype.

Authors:  Jodi B Segal; Hsien-Yen Chang; Yu Du; Jeremy D Walston; Michelle C Carlson; Ravi Varadhan
Journal:  Med Care       Date:  2017-07       Impact factor: 2.983

7.  Ten-Year Prevalence of Cognitive Impairment Diagnoses and Associated Medical and Psychiatric Conditions in a National Cohort of Older Female Veterans.

Authors:  Sandy J Lwi; Deborah E Barnes; Feng Xia; Carrie Peltz; Tina Hoang; Kristine Yaffe
Journal:  Am J Geriatr Psychiatry       Date:  2018-12-13       Impact factor: 4.105

8.  2020 Alzheimer's disease facts and figures.

Authors: 
Journal:  Alzheimers Dement       Date:  2020-03-10       Impact factor: 21.566

9.  Upcoding: Evidence from Medicare on Squishy Risk Adjustment.

Authors:  Michael Geruso; Timothy Layton
Journal:  J Polit Econ       Date:  2020-01-29

10.  Comparing chronic condition rates using ICD-9 and ICD-10 in VA patients FY2014-2016.

Authors:  Jean Yoon; Adam Chow
Journal:  BMC Health Serv Res       Date:  2017-08-17       Impact factor: 2.655

View more
  7 in total

Review 1.  Identifying Frail Patients by Using Electronic Health Records in Primary Care: Current Status and Future Directions.

Authors:  Jianzhao Luo; Xiaoyang Liao; Chuan Zou; Qian Zhao; Yi Yao; Xiang Fang; John Spicer
Journal:  Front Public Health       Date:  2022-06-22

2.  Coronavirus disease 2019 (COVID-19) hospitalization metrics that do not account for disease severity underestimate protection provided by severe acute respiratory coronavirus virus 2 (SARS-CoV-2) vaccination and boosting: A retrospective cohort study.

Authors:  June K Corrigan; Jennifer La; Paul A Monach; Westyn Branch-Elliman; Nathanael R Fillmore; Nhan V Do; Mary Brophy; Shira Doron
Journal:  Infect Control Hosp Epidemiol       Date:  2022-05-23       Impact factor: 6.520

3.  30-day mortality following COVID-19 and influenza hospitalization among US veterans aged 65 and older.

Authors:  Benjamin Seligman; Brian Charest; Yuk-Lam Ho; Hanna Gerlovin; Rachel E Ward; Kelly Cho; Jane A Driver; J Michael Gaziano; David R Gagnon; Ariela R Orkaby
Journal:  J Am Geriatr Soc       Date:  2022-05-23       Impact factor: 7.538

4.  Impact of prior SARS-CoV-2 infection on incidence of hospitalization and adverse events following mRNA SARS-CoV-2 vaccination: A nationwide, retrospective cohort study.

Authors:  Lucy L Li; Chunlei Zheng; Jennifer La; Nhan V Do; Paul A Monach; Judith M Strymish; Nathanael R Fillmore; Westyn Branch-Elliman
Journal:  Vaccine       Date:  2022-01-19       Impact factor: 3.641

5.  COVID-19 mRNA vaccine effectiveness against hospitalisation and death in veterans according to frailty status during the SARS-CoV-2 delta (B.1.617.2) variant surge in the USA: a retrospective cohort study.

Authors:  Fei Tang; Iriana S Hammel; Melissa K Andrew; Jorge G Ruiz
Journal:  Lancet Healthy Longev       Date:  2022-08-01

6.  Frailty, vaccination, and hospitalization following COVID-19 positivity in older veterans.

Authors:  Benjamin Seligman; Kevin Ikuta; Greg Orshansky; Matthew Bidwell Goetz
Journal:  J Am Geriatr Soc       Date:  2022-06-09       Impact factor: 7.538

7.  Prognostic value of the veterans affairs frailty index in older patients with non-small cell lung cancer.

Authors:  David Cheng; Clark Dumontier; Ayesha R Sheikh; Jennifer La; Mary T Brophy; Nhan V Do; Jane A Driver; David P Tuck; Nathanael R Fillmore
Journal:  Cancer Med       Date:  2022-03-26       Impact factor: 4.711

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.