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. 2020 Jul 1;3(7):e208236.
doi: 10.1001/jamanetworkopen.2020.8236.

Estimation of Atherosclerotic Cardiovascular Disease Risk Among Patients in the Veterans Affairs Health Care System

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Estimation of Atherosclerotic Cardiovascular Disease Risk Among Patients in the Veterans Affairs Health Care System

Jason L Vassy et al. JAMA Netw Open. .

Abstract

Importance: Current guidelines recommend statin therapy for millions of US residents for the primary prevention of atherosclerotic cardiovascular disease (ASCVD). It is unclear whether traditional prediction models that do not account for current widespread statin use are sufficient for risk assessment.

Objectives: To examine the performance of the Pooled Cohort Equations (PCE) for 5-year ASCVD risk estimation in a contemporary cohort and to test the hypothesis that inclusion of statin therapy improves model performance.

Design, setting, and participants: This cohort study included adult patients in the Veterans Affairs health care system without baseline ASCVD. Using national electronic health record data, 3 Cox proportional hazards models were developed to estimate 5-year ASCVD risk, as follows: the variables and published β coefficients from the PCE (model 1), the PCE variables with cohort-derived β coefficients (model 2), and model 2 plus baseline statin use (model 3). Data were collected from January 2002 to December 2012 and analyzed from June 2016 to March 2020.

Exposures: Traditional ASCVD risk factors from the PCE plus baseline statin use.

Main outcomes and measures: Incident ASCVD and ASCVD mortality.

Results: Of 1 672 336 patients in the cohort (mean [SD] baseline age 58.0 [13.8] years, 1 575 163 [94.2%] men, 1 383 993 [82.8%] white), 312 155 (18.7%) were receiving statin therapy at baseline. During 5 years of follow-up, 66 605 (4.0%) experienced an ASCVD event, and 31 878 (1.9%) experienced ASCVD death. Compared with the original PCE, the cohort-derived model did not improve model discrimination in any of the 4 age-sex strata but did improve model calibration. The PCE overestimated ASCVD risk compared with the cohort-derived model; 211 237 of 1 136 161 white men (18.6%), 29 634 of 218 463 black men (13.6%), 1741 of 44 399 white women (3.9%), and 836 of 16 034 black women (5.2%) would be potentially eligible for statin therapy under the PCE but not the cohort-derived model. When added to the cohort-derived model, baseline statin therapy was associated with a 7% (95% CI, 5%-9%) lower relative risk of ASCVD and a 25% (95% CI, 23%-28%) lower relative risk for ASCVD death.

Conclusions and relevance: In this study, lower than expected rates of incident ASCVD events in a contemporary national cohort were observed. The PCE overestimated ASCVD risk, and more than 15% of patients would be potentially eligible for statin therapy based on the PCE but not on a cohort-derived model. In the statin era, health care professionals and systems should base ASCVD risk assessment on models calibrated to their patient populations.

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Conflict of interest statement

Conflict of Interest Disclosures: Drs Vassy, Ho, Cho, and Wilson reported having a patent pending for a shrinkage method for down-selecting variables for inclusion in risk estimation models. Dr Raghavan reported receiving grant funding from the US Department of Veterans Affairs during the conduct of the study. Dr Orkaby reported receiving grants from the National Institutes of Health and grants from the US Department of Veterans Affairs outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Incidence Rates per 1000 Person-Years for Composite Outcome and Atherosclerotic Cardiovascular Disease (ASCVD) Death
Whiskers indicate 95% CIs. To convert total cholesterol to millimoles per liter, multiply by 0.0259.
Figure 2.
Figure 2.. Calibration of Pooled Cohort Equations and Cohort-Derived Model for 5-Year Prediction of Atherosclerotic Cardiovascular Disease Events

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