CBS 2019
CBSMD教育中心
中 文

推荐文献

Abstract

Recommended Article

Randomized Comparison Between Radial and Femoral Large-Bore Access for Complex Percutaneous Coronary Intervention Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data Screening for Atrial Fibrillation With Electrocardiography US Preventive Services Task Force Recommendation Statement Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association Disrupting Fellow Education Through Group Texting: WhatsApp in Fellow Education? Patient Characteristics Associated With Antianginal Medication Escalation and De-Escalation Following Chronic Total Occlusion Percutaneous Coronary Intervention: Insights From the OPEN CTO Registry Incidence, Predictors, and Outcomes of In-Hospital Percutaneous Coronary Intervention Following Coronary Artery Bypass Grafting Current Perspectives on Coronavirus Disease 2019 and Cardiovascular Disease: A White Paper by the JAHA Editors

Original Researchonline 25 May 2018

JOURNAL:Sci Bull (Beijing). Article Link

Predicting lifetime risk for developing atherosclerotic cardiovascular disease in Chinese population: the China-PAR project

FC Liu, DF Gua, XF Lu et al. Keywords: Atherosclerosis; Cardiovascular disease; Lifetime risk; Risk prediction

ABSTRACT


Evidence on the lifetime risk for atherosclerotic cardiovascular disease (ASCVD) is insufficient; yet, estimating an individual’s lifetime risk allows for a comprehensive assessment of ASCVD burden. We developed and validated lifetime risk prediction equations for ASCVD using four large and ongoing prospective cohorts of Chinese, the China-PAR project (Prediction for ASCVD Risk in China). Sex-specific equations were developed using two cohorts (as the derivation cohort) of 21,320 participants. Two other independent cohorts with 14,123 and 70,838 participants were used for their external validation, respectively. We evaluated both calibration and discrimination measures for model performance. Furthermore, we estimated ASCVD-free years lost or excess absolute risk attributable to high 10-year risk (≥10.0%) and/or high lifetime risk (≥32.8%). After 12.3 years’ follow-up of the derivation cohort, 1048 ASCVD events and 1304 non-ASCVD deaths were identified. Our sex-specific equations had good internal validation, with discriminant C statistics of 0.776 (95% confidence interval [CI]: 0.757–0.794) and 0.801 (95% CI: 0.778–0.825), and calibration χ2 of 9.2 (P = 0.418) and 5.6 (P = 0.777) for men and women, respectively. Good external validation was also demonstrated with predicted rates closely matched to the observed ones. Compared with men having both low 10-year and low lifetime risk, men would develop ASCVD 3.0, 4.6 and 8.6 years earlier if they had high 10-year risk alone, high lifetime risk alone, or both high 10-year and high lifetime risk at the index age of 35 years, respectively. We developed well-performed lifetime risk prediction equations that will help to identify those with the greatest potential to avert ASCVD burden after implementation of innovative clinical and public health interventions in China.