Beijing Municipal Key Laboratory of Clinical Epidemiology, Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Beijing, 100069, China.
Centre for Precision Health, Edith Cowan University, 270 Joondalup Drive, Joondalup, Perth, WA, 6027, Australia.
BMC Med. 2023 Feb 6;21(1):42. doi: 10.1186/s12916-023-02733-w.
Arteriosclerosis and atherosclerosis are closely related with cardiovascular disease (CVD) risk. Remnant cholesterol (RC) could predict CVD. However, its effect on joint arteriosclerosis and atherosclerosis progression remains unclear. This study aims to evaluate the association of RC with joint arteriosclerosis and atherosclerosis progression trajectories in the general population.
This study collected data across five biennial surveys of the Beijing Health Management Cohort from 2010 to 2019. Multi-trajectory model was used to determine the joint arteriosclerosis and atherosclerosis progression patterns by brachial-ankle pulse wave velocity (baPWV) and ankle brachial index (ABI). We also performed discordance analyses for RC vs. low density lipoprotein cholesterol (LDL-C) using ordinal logistics model.
A total of 3186 participants were included, with three clusters following distinct arteriosclerosis and atherosclerosis progression patterns identified using a multi-trajectory model. In the multivariable-adjusted ordinal logistics analyses, RC was significantly associated with baPWV and ABI progression (OR: 1.20; 95% CI: 1.13-1.28, per 10 mg/dL). For the discordance analyses, the discordant low RC group was associated with decreased risk compared to the concordant group (OR: 0.73; 95% CI: 0.60-0.89). People with a high RC level were at an increased risk of joint arteriosclerosis and atherosclerosis progression, even with optimal LDL-C.
RC is independently associated with joint arteriosclerosis and atherosclerosis progression beyond LDL-C. RC could be an earlier risk factor than LDL-C of arteriosclerosis and atherosclerosis in the general population.
动脉粥样硬化与心血管疾病(CVD)风险密切相关。残粒胆固醇(RC)可预测 CVD。然而,其对关节动脉粥样硬化和动脉粥样硬化进展的影响尚不清楚。本研究旨在评估 RC 与一般人群中关节动脉粥样硬化和动脉粥样硬化进展轨迹的相关性。
本研究收集了 2010 年至 2019 年北京健康管理队列的五次两年期调查数据。使用多轨迹模型通过肱踝脉搏波速度(baPWV)和踝臂指数(ABI)确定关节动脉粥样硬化和动脉粥样硬化进展模式。我们还使用有序逻辑模型对 RC 与低密度脂蛋白胆固醇(LDL-C)进行了不一致性分析。
共纳入 3186 名参与者,使用多轨迹模型确定了三个具有不同动脉粥样硬化和动脉粥样硬化进展模式的聚类。在多变量调整的有序逻辑分析中,RC 与 baPWV 和 ABI 进展显著相关(OR:1.20;95%CI:1.13-1.28,每 10mg/dL)。对于不一致性分析,RC 水平较低的不一致组与一致组相比,风险降低(OR:0.73;95%CI:0.60-0.89)。即使 LDL-C 水平最佳,RC 水平较高的人群也会增加关节动脉粥样硬化和动脉粥样硬化进展的风险。
RC 与 LDL-C 独立相关,与 LDL-C 相比,RC 是动脉粥样硬化和动脉粥样硬化的早期危险因素。