IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i19p10005-d641359.html
   My bibliography  Save this article

Assessing Performance of the Veterans Affairs Women Cardiovascular Risk Model in Predicting a Short-Term Risk of Cardiovascular Disease Incidence Using United States Veterans Affairs COVID-19 Shared Data

Author

Listed:
  • Haekyung Jeon-Slaughter

    (VA North Texas Health Care System, Dallas, TX 75216, USA
    Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA)

  • Xiaofei Chen

    (Sanofi, Bridgewater, NJ 08807, USA)

  • Bala Ramanan

    (VA North Texas Health Care System, Dallas, TX 75216, USA
    Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA)

  • Shirling Tsai

    (VA North Texas Health Care System, Dallas, TX 75216, USA
    Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA)

Abstract

The current study assessed performance of the new Veterans Affairs (VA) women cardiovascular disease (CVD) risk score in predicting women veterans’ 60-day CVD event risk using VA COVID-19 shared cohort data. The study data included 17,264 women veterans—9658 White, 6088 African American, and 1518 Hispanic women veterans—ever treated at US VA hospitals and clinics between 24 February and 25 November 2020. The VA women CVD risk score discriminated patients with CVD events at 60 days from those without CVD events with accuracy (area under the curve) of 78%, 50%, and 83% for White, African American, and Hispanic women veterans, respectively. The VA women CVD risk score itself showed good accuracy in predicting CVD events at 60 days for White and Hispanic women veterans, while it performed poorly for African American women veterans. The future studies are needed to identify non-traditional factors and biomarkers associated with increased CVD risk specific to African American women and incorporate them to the CVD risk assessment.

Suggested Citation

  • Haekyung Jeon-Slaughter & Xiaofei Chen & Bala Ramanan & Shirling Tsai, 2021. "Assessing Performance of the Veterans Affairs Women Cardiovascular Risk Model in Predicting a Short-Term Risk of Cardiovascular Disease Incidence Using United States Veterans Affairs COVID-19 Shared D," IJERPH, MDPI, vol. 18(19), pages 1-7, September.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10005-:d:641359
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/19/10005/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/19/10005/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tucker, M.J. & Berg, C.J. & Callaghan, W.M. & Hsia, J., 2007. "The black-white disparity in pregnancy-related mortality from 5 conditions: Differences in prevalence and case-fatality rates," American Journal of Public Health, American Public Health Association, vol. 97(2), pages 247-251.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tonny J. Oyana & Patricia Matthews-Juarez & Stephania A. Cormier & Xiaoran Xu & Paul D. Juarez, 2015. "Using an External Exposome Framework to Examine Pregnancy-Related Morbidities and Mortalities: Implications for Health Disparities Research," IJERPH, MDPI, vol. 13(1), pages 1-14, December.
    2. S. Michelle Ogunwole & Habibat A. Oguntade & Kelly M. Bower & Lisa A. Cooper & Wendy L. Bennett, 2023. "Health Experiences of African American Mothers, Wellness in the Postpartum Period and Beyond (HEAL): A Qualitative Study Applying a Critical Race Feminist Theoretical Framework," IJERPH, MDPI, vol. 20(13), pages 1-29, July.
    3. Evelyn J. Patterson & Andréa Becker & Darwin A. Baluran, 2022. "Gendered Racism on the Body: An Intersectional Approach to Maternal Mortality in the United States," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 1261-1294, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10005-:d:641359. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.