Department of Epidemiology and Biostatistics, School of Public Health, Shandong University, Jinan, China; Healthcare Big Data Institute of Shandong University, Jinan, China.
Health Management Center, Weihai Municipal Hospital, Weihai, China.
Am J Cardiol. 2019 Sep 1;124(5):702-708. doi: 10.1016/j.amjcard.2019.05.058. Epub 2019 Jun 6.
High triglycerides (TG), low high-density lipoprotein cholesterol (HDL-C) and high non-HDL-C levels are risk factors for cardiovascular disease (CVD). It is unclear whether the combinations of their adverse changes are related with CVD risk in different gender and diabetes status, particularly in Chinese population. This study aims to evaluate the CVD risk associated with different adverse lipid combinations. A total of 38,989 participants from Chinese Multicenter Longitudinal Health Management Cohorts (mean age 42 years; 62% male) without baseline CVD were followed up for incident CVD from 2007 to 2015. Participants with various combinations of baseline TG, non-HDL-C, and HDL-C levels within- or out of range according to Adult Treatment Panel III were grouped into 8 distinct lipid categories. Cox models estimated the multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) of different lipid categories for CVD. After multivariable adjustment, a low level of HDL-C combined with either a high level of non-HDL-C alone or TG alone were associated with increased CVD risk with adjusted HRs (95% CIs) of 1.77 (1.36 to 2.30) and 2.08 (1.30 to 3.34) in male participants. Diabetic participants with high non-HDL-C and low HDL-C levels (adjusted HR 2.93, 95% CI 1.15 to 7.46), and non-diabetic participants with high TG and low HDL-C levels (adjusted HR 1.73, 95% CI 1.33 to 2.26) had greater risk of incident CVD. These relations remained significant when limited analysis to participants with normal LDL-C levels of <3.4 mmol/L, indicating the various combinations of out-of-range lipid profiles other than LDL-C are associated with different CVD risk and the associations depend on gender and glycemic status.
高甘油三酯(TG)、低高密度脂蛋白胆固醇(HDL-C)和高非高密度脂蛋白胆固醇(non-HDL-C)水平是心血管疾病(CVD)的危险因素。目前尚不清楚这些不良变化的组合是否与不同性别和糖尿病状态下的 CVD 风险相关,特别是在中国人群中。本研究旨在评估不同不良血脂组合与 CVD 风险的相关性。共有 38989 名来自中国多中心纵向健康管理队列的参与者(平均年龄 42 岁;62%为男性),无基线 CVD,从 2007 年至 2015 年随访 CVD 事件。根据成人治疗专家组 III 的标准,将基线 TG、非-HDL-C 和 HDL-C 水平处于或超出范围的参与者分为 8 个不同的血脂类别。Cox 模型估计了不同血脂类别的多变量调整后的危险比(HR)和 95%置信区间(CI)与 CVD 的关系。在多变量调整后,HDL-C 水平低,与非-HDL-C 水平高或 TG 水平高单独或联合存在时,男性参与者的 CVD 风险增加,调整后的 HR(95%CI)分别为 1.77(1.36 至 2.30)和 2.08(1.30 至 3.34)。非糖尿病参与者的高 TG 和低 HDL-C 水平(调整后的 HR 1.73,95%CI 1.33 至 2.26)与非糖尿病参与者的高非 HDL-C 和低 HDL-C 水平(调整后的 HR 2.93,95%CI 1.15 至 7.46)与 CVD 事件发生风险较高有关。当将分析仅限于 LDL-C 水平正常(<3.4mmol/L)的参与者时,这些关系仍然显著,表明 LDL-C 以外的各种血脂异常组合与不同的 CVD 风险相关,并且这些关联取决于性别和血糖状态。