Improvement of evaluation in Chinese patients with atherosclerotic cardiovascular disease using the very-high-risk refinement: a population-based study

Abstract

Background

Continuous refinement of atherosclerotic cardiovascular disease (ASCVD) stratification has raised the definition of very-high-risk (VHR) recently, which has been underutilized in China. We aimed to identify patients at VHR and evaluate their performances in a Chinese population.

Methods

A total of 9944 patients with ASCVD was continuously enrolled. Patients at VHR was identified according to 2018 AHA/ACC guideline. Median follow-up was 36.4 months. Clinical characteristics, low-density lipoprotein cholesterol (LDL-C) achievements, and the prognostic value of VHR mapping for cardiovascular events (CVEs) were evaluated.

Findings

Overall, 26% (2542/9944) of patients were deemed as VHR, which were subsequently divided into two subgroups of VHR-1 [31% (779/2542)] and VHR-2 [69% (1763/2542)]. The rates of VHR were higher among patients of male (30%,2157/7268), young with age <45 years (46%,518/1130), and low-income regions (27%, 498/1838). Patients at VHR carried higher rates of risk factors than those at non-VHR (all p<0.001). However, only 3% (80/2542) of patients at VHR were prescribed with high-intensity of statins, and just 13% (321/2542) of them reached the LDL-C goal (<1.4mmol/L). Furthermore, of patients with coronary stenosis (n=9806), multiple-diseased vessels (47%, 1192/2523 vs. 36%,2587/7283) and occlusive lesions (36%, 902/2523 vs. 13%, 949/7283) were detected more commonly in those at VHR than non-VHR. The adjusted hazard ratios of VHR-1 and VHR-2 for primary CVEs were 2.58(1.61-4.14) and 2.23(1.55-3.20), respectively.

Interpretation

Our study firstly reported that patients at VHR carried more severe ASCVD burden, lower LDL-C achievement, and higher CVEs risk, suggesting that the refinement of ASCVD might be considered in China to further understand patients at VHR.

Funding

Capital Health Development Fund and CAMS Major Collaborative Innovation Project