CBS 2019
CBSMD教育中心
中 文

推荐文献

Abstract

Recommended Article

Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT 2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation: Task Force for the Management of Acute Coronary Syndromes in Patients Presenting without Persistent ST-Segment Elevation of the European Society of Cardiology (ESC) Mortality 10 Years After Percutaneous or Surgical Revascularization in Patients With Total Coronary Artery Occlusions Randomized Comparison of Ridaforolimus-Eluting and Zotarolimus-Eluting Coronary Stents 2-Year Clinical Outcomes: From the BIONICS and NIREUS Trials Effect of Aspirin on All-Cause Mortality in the Healthy Elderly The spectrum of chronic coronary syndromes: genetics, imaging, and management after PCI and CABG Drug-coated balloons for small coronary artery disease (BASKET-SMALL 2): an open-label randomised non-inferiority trial Atrial Fibrillation Burden: Moving Beyond Atrial Fibrillation as a Binary Entity: A Scientific Statement From the American Heart Association

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.