Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Clin Ther. 2022 Aug;44(8):1071-1092. doi: 10.1016/j.clinthera.2022.06.010. Epub 2022 Jul 26.
Accumulating evidence that apolipoprotein B (apoB) plays a critical role in predicting coronary heart disease (CHD) and future outcomes. The 2019 European Society of Cardiology/European Atherosclerosis Society guidelines suggest that apoB can be an alternative to non-HDL-C or LDL-C in patients with high triglyceride levels, diabetes, obesity, metabolic syndrome, or very low LDL-C levels. This study explores whether apoB can also serve as predictive value for long-term major adverse cardiovascular events (MACEs) in normal people and specific coronary atherosclerosis patients.
A total of 826 patients were followed up over 10 years, and the risk factors for MACEs were retrospectively analyzed in patients with CHD and particular subpopulations. All statistical analyses were performed in R software. Cox regressions were performed to assess independent risk factors of long-term MACEs in the atherosclerosis group and CHD subgroups. Kaplan-Meier survival curves were used to evaluate the survival rate for patients in different apoB quartiles, and receiver-operating characteristic curves were used to compare apoB and other lipids in predicting the presence of long-term MACE.
apoB could be a "risk-enhancing factor" in patients with coronary atherosclerosis disease, whereas in the Normal population, LDL-C still acted as a major risk factor for predicting MACEs. apoB was a good risk predictor for long-term cardiovascular events in coronary atherosclerosis (AS) patients, including the AS group and CHD subpopulations (including CHD + triglyceride ≥2.3 mmol/L, CHD + diabetes mellitus, CHD + body mass index ≥25 kg/m, or CHD + metabolic syndrome). In patients with CHD whose condition was complicated with diabetes, obesity, and metabolic syndrome, apoB performed better than other lipids in predicting the presence of myocardial infarction, hospitalization due to angina, and cardiac death. Despite achieving optimal LDL-C or non-HDL-C levels, patients with CHD are still at risk of worse survival if they are unable to reach a low apoB level (lower cut points such as 65 mg/dL).
More attention should be paid to special populations with residual elevations of atherogenic particle numbers, and greater focus should be placed on lowering baseline apoB to achieve long-term benefits. However, given that this was an observational study, the association of baseline apoB level and long-term MACEs only was evaluated; it is unclear whether the emergence of MACEs would be influenced by the dynamic changes of apoB. Because this was a retrospective and observational analysis, bias in data analysis was unavoidable; thus, the results cannot be used to generalize implications to broader patient populations, and more large-scale clinical trials are required to verify these findings. (Clin Ther. 2022;44:1071-1092) © 2022 Elsevier HS Journals, Inc.
越来越多的证据表明载脂蛋白 B(apoB)在预测冠心病(CHD)和未来结局方面发挥着关键作用。2019 年欧洲心脏病学会/欧洲动脉粥样硬化学会指南建议,在甘油三酯水平高、糖尿病、肥胖、代谢综合征或 LDL-C 水平非常低的患者中,apoB 可以替代非高密度脂蛋白胆固醇(non-HDL-C)或 LDL-C。本研究旨在探讨 apoB 是否也可作为正常人及特定冠状动脉粥样硬化患者发生长期主要不良心血管事件(MACEs)的预测价值。
对 826 例患者进行了长达 10 年的随访,回顾性分析了 CHD 患者和特定亚组患者发生 MACE 的危险因素。所有统计分析均在 R 软件中进行。采用 Cox 回归评估动脉粥样硬化组和 CHD 亚组中发生长期 MACE 的独立危险因素。Kaplan-Meier 生存曲线用于评估不同 apoB 四分位区间患者的生存率,受试者工作特征曲线用于比较 apoB 和其他脂质在预测长期 MACE 中的作用。
apoB 可能是冠状动脉粥样硬化患者的“风险增强因子”,而在普通人群中,LDL-C 仍然是预测 MACE 的主要危险因素。apoB 是冠状动脉粥样硬化(AS)患者发生长期心血管事件的良好风险预测因子,包括 AS 组和 CHD 亚组(包括 CHD+甘油三酯≥2.3 mmol/L、CHD+糖尿病、CHD+体重指数≥25 kg/m 或 CHD+代谢综合征)。在合并糖尿病、肥胖和代谢综合征的 CHD 患者中,apoB 在预测心肌梗死、因心绞痛住院和心脏死亡方面优于其他脂质。尽管 LDL-C 或非 HDL-C 水平达到了最佳水平,但如果不能达到低 apoB 水平(较低的切点,如 65 mg/dL),CHD 患者的生存仍存在风险。
应更加关注存在致动脉粥样硬化颗粒数量残留升高的特殊人群,并更加重视降低基线 apoB 水平以实现长期获益。然而,鉴于这是一项观察性研究,仅评估了基线 apoB 水平与长期 MACE 之间的相关性,尚不清楚 MACE 的发生是否会受到 apoB 动态变化的影响。由于这是一项回顾性和观察性分析,数据分析中存在偏倚是不可避免的;因此,这些结果不能用于将其推论到更广泛的患者人群,还需要更多的大规模临床试验来验证这些发现。