TY - JOUR
T1 - Developing an internally validated veterans affairs women cardiovascular disease risk score using veterans affairs national electronic health records
AU - Jeon-Slaughter, Haekyung
AU - Chen, Xiaofei
AU - Tsai, Shirling
AU - Ramanan, Bala
AU - Ebrahimi, Ramin
N1 - Funding Information:
The study was funded by the U.S. Department of Defense Peer-Reviewed Medical Research Discovery Award (W18XWH1810159); Haekyung Jeon-Slaughter, PhD, is the study’s principal investigator. The views, opinions, and/or findings contained in this article are those of the authors and should not be construed as an official Department of the Army position, policy, or decision unless so designated by other documentation.
Publisher Copyright:
© 2021 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.
PY - 2021
Y1 - 2021
N2 - BACKGROUND: The current American College of Cardiology/American Heart Association women cardiovascular disease (CVD) risk score suboptimally estimates CVD risk for young and minority women in the military. The current study developed an internally validated CVD risk score for women military service members and veterans using the Veterans Affairs (VA) national electronic health records data. METHODS AND RESULTS: The study cohort included 69 574 White, Black, and Hispanic women service members and veterans aged 30 to 79 years in 2007 treated in the VA Health Care System between January 1, 2007 and December 31, 2017 (henceforth, VA women). Stratified by race and ethnicity, the new VA women CVD risk model estimated risk coefficients and 10-year CVD risk using a time-variant covariate Cox model. Harrell C-statistics, calibration plots, and net classification index were used to assess accuracy and prognostic performance of the new VA women CVD risk model. The new internally validated VA women CVD risk score performed better in predicting VA women 10-year atherosclerosis cardiovascular disease risk than the pooled cohort American College of Cardiology/American Heart Association risk score in both accuracy (White Harrell Cstatistics, 70% versus 61%; Black, 68% versus 63%) and prognostic performance (White net classification index, 0.31; 95% CI, 0.26–0.33; Black net classification index, 0.06; 95% CI, 0.03–0.09). CONCLUSIONS: The proposed VA women CVD risk score improves accuracy of the existing American College of Cardiology/ American Heart Association CVD risk assessment tool in predicting long-term CVD risk for VA women, particularly in young and racial/ethnic minority women.
AB - BACKGROUND: The current American College of Cardiology/American Heart Association women cardiovascular disease (CVD) risk score suboptimally estimates CVD risk for young and minority women in the military. The current study developed an internally validated CVD risk score for women military service members and veterans using the Veterans Affairs (VA) national electronic health records data. METHODS AND RESULTS: The study cohort included 69 574 White, Black, and Hispanic women service members and veterans aged 30 to 79 years in 2007 treated in the VA Health Care System between January 1, 2007 and December 31, 2017 (henceforth, VA women). Stratified by race and ethnicity, the new VA women CVD risk model estimated risk coefficients and 10-year CVD risk using a time-variant covariate Cox model. Harrell C-statistics, calibration plots, and net classification index were used to assess accuracy and prognostic performance of the new VA women CVD risk model. The new internally validated VA women CVD risk score performed better in predicting VA women 10-year atherosclerosis cardiovascular disease risk than the pooled cohort American College of Cardiology/American Heart Association risk score in both accuracy (White Harrell Cstatistics, 70% versus 61%; Black, 68% versus 63%) and prognostic performance (White net classification index, 0.31; 95% CI, 0.26–0.33; Black net classification index, 0.06; 95% CI, 0.03–0.09). CONCLUSIONS: The proposed VA women CVD risk score improves accuracy of the existing American College of Cardiology/ American Heart Association CVD risk assessment tool in predicting long-term CVD risk for VA women, particularly in young and racial/ethnic minority women.
KW - Cardiovascular disease risk score
KW - Cardiovascular risk
KW - Predictive model
KW - Women
KW - Women veterans
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U2 - 10.1161/JAHA.120.019217
DO - 10.1161/JAHA.120.019217
M3 - Article
C2 - 33619994
AN - SCOPUS:85102537789
SN - 2047-9980
VL - 10
SP - 1
EP - 18
JO - Journal of the American Heart Association
JF - Journal of the American Heart Association
IS - 5
M1 - e019217
ER -