Cargando…

Differential Impact of Aging on Cardiovascular Risk in Women Military Service Members

BACKGROUND: Atherosclerotic cardiovascular disease (ASCVD) is the third leading cause of death in women service members and veterans. This study assessed 10‐year ASCVD risk in women service members and veterans using their own electronic health record data extracted from Veterans Affairs (VA) nation...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Xiaofei, Ramanan, Bala, Tsai, Shirling, Jeon‐Slaughter, Haekyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429070/
https://www.ncbi.nlm.nih.gov/pubmed/32515249
http://dx.doi.org/10.1161/JAHA.120.015087
_version_ 1783571215298854912
author Chen, Xiaofei
Ramanan, Bala
Tsai, Shirling
Jeon‐Slaughter, Haekyung
author_facet Chen, Xiaofei
Ramanan, Bala
Tsai, Shirling
Jeon‐Slaughter, Haekyung
author_sort Chen, Xiaofei
collection PubMed
description BACKGROUND: Atherosclerotic cardiovascular disease (ASCVD) is the third leading cause of death in women service members and veterans. This study assessed 10‐year ASCVD risk in women service members and veterans using their own electronic health record data extracted from Veterans Affairs (VA) national Corporate Data Warehouse database. METHODS AND RESULTS: We retrospectively followed 69 574 VA women, aged 30 to 79 years, from 2007 to 2017. Of these, 52% were whites (n=36 172), 42% were blacks (n=29 232), and 6% were Hispanics (n=4171). Risk factors and ASCVD events (nonfatal myocardial infarction, nonfatal stroke, and cardiac deaths) were identified using diagnostic and procedural codes from electronic health records. Then, within the same construct of the current American College of Cardiology/American Heart Association 10‐year ASCVD risk assessment models for women, coefficients for risks factors were recalculated using the VA national electronic health record data, stratified by race (hereafter, VA women model). Our study found a curvilinear association of aging with increased risk of 10‐year ASCVD event in VA women starting at ages as young as 30 years across all race groups. The VA women model performance in predicting ASCVD events at 10 years was mixed‐moderate in discrimination (C statistics, 0.61–0.64) but good in accuracy, as demonstrated by calibration plots approximating a 45° line. CONCLUSIONS: The study finding, a curvilinear association of aging with increased ASCVD risk in VA women across all races, demonstrates the need for cardiovascular risk screening of younger VA women, aged <45 years.
format Online
Article
Text
id pubmed-7429070
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-74290702020-08-18 Differential Impact of Aging on Cardiovascular Risk in Women Military Service Members Chen, Xiaofei Ramanan, Bala Tsai, Shirling Jeon‐Slaughter, Haekyung J Am Heart Assoc Original Research BACKGROUND: Atherosclerotic cardiovascular disease (ASCVD) is the third leading cause of death in women service members and veterans. This study assessed 10‐year ASCVD risk in women service members and veterans using their own electronic health record data extracted from Veterans Affairs (VA) national Corporate Data Warehouse database. METHODS AND RESULTS: We retrospectively followed 69 574 VA women, aged 30 to 79 years, from 2007 to 2017. Of these, 52% were whites (n=36 172), 42% were blacks (n=29 232), and 6% were Hispanics (n=4171). Risk factors and ASCVD events (nonfatal myocardial infarction, nonfatal stroke, and cardiac deaths) were identified using diagnostic and procedural codes from electronic health records. Then, within the same construct of the current American College of Cardiology/American Heart Association 10‐year ASCVD risk assessment models for women, coefficients for risks factors were recalculated using the VA national electronic health record data, stratified by race (hereafter, VA women model). Our study found a curvilinear association of aging with increased risk of 10‐year ASCVD event in VA women starting at ages as young as 30 years across all race groups. The VA women model performance in predicting ASCVD events at 10 years was mixed‐moderate in discrimination (C statistics, 0.61–0.64) but good in accuracy, as demonstrated by calibration plots approximating a 45° line. CONCLUSIONS: The study finding, a curvilinear association of aging with increased ASCVD risk in VA women across all races, demonstrates the need for cardiovascular risk screening of younger VA women, aged <45 years. John Wiley and Sons Inc. 2020-06-09 /pmc/articles/PMC7429070/ /pubmed/32515249 http://dx.doi.org/10.1161/JAHA.120.015087 Text en © 2020 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Chen, Xiaofei
Ramanan, Bala
Tsai, Shirling
Jeon‐Slaughter, Haekyung
Differential Impact of Aging on Cardiovascular Risk in Women Military Service Members
title Differential Impact of Aging on Cardiovascular Risk in Women Military Service Members
title_full Differential Impact of Aging on Cardiovascular Risk in Women Military Service Members
title_fullStr Differential Impact of Aging on Cardiovascular Risk in Women Military Service Members
title_full_unstemmed Differential Impact of Aging on Cardiovascular Risk in Women Military Service Members
title_short Differential Impact of Aging on Cardiovascular Risk in Women Military Service Members
title_sort differential impact of aging on cardiovascular risk in women military service members
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7429070/
https://www.ncbi.nlm.nih.gov/pubmed/32515249
http://dx.doi.org/10.1161/JAHA.120.015087
work_keys_str_mv AT chenxiaofei differentialimpactofagingoncardiovascularriskinwomenmilitaryservicemembers
AT ramananbala differentialimpactofagingoncardiovascularriskinwomenmilitaryservicemembers
AT tsaishirling differentialimpactofagingoncardiovascularriskinwomenmilitaryservicemembers
AT jeonslaughterhaekyung differentialimpactofagingoncardiovascularriskinwomenmilitaryservicemembers