Xie Changming, Luo Dongling, Liu Guodu, Chen Jie, Huang Hui
Department of Cardiology, The Eighth Affiliated Hospital, Joint Laboratory of Guangdong-Hong Kong-Macao Universities for Nutritional Metabolism and Precise Prevention and Control of Major Chronic Diseases, Sun Yat-sen University, Shenzhen, China.
Department of Radiation Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Front Cardiovasc Med. 2024 Jul 10;11:1406216. doi: 10.3389/fcvm.2024.1406216. eCollection 2024.
Whether and how coronary artery calcium (CAC) progress contributes to cardiovascular outcomes has not been fully elucidated. The aim of this study was to identify different patterns of CAC change and evaluate the associations with different cardiovascular outcomes.
Data from the Multi-Ethnic Study of Atherosclerosis study were analyzed. Participants with at least three CT measurements were included. The main study outcome is hard cardiovascular disease (CVD). CAC scores were determined as phantom-adjusted Agatston scores. A group-based trajectory model was used to identify latent groups and estimated the hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional regression models.
A total of 3,616 participants were finally enrolled [mean age 60.55 (SD 9.54) years, 47.76% men and 39.30% Caucasian]. Four distinct trajectories in CAC were identified: class 1, low-stable (24.17%); class 2, low-increasing (27.60%); class 3, moderate-increasing (30.56%); and class 4, elevated-increasing (17.67%). During 13.58 (SD 2.25) years of follow-up, 291 cases of hard CVD occurred. The event rates of hard CVD per 1,000 person-years were 2.23 (95% CI 1.53-3.25), 4.60 (95% CI 3.60-5.89), 7.67 (95% CI 6.38-9.21) and 10.37 (95% CI 8.41-12.80) for classes 1-4, respectively. Compared to participants assigned to class 1, the full-adjusted HRs of hard CVD for classes 2-4 were 2.10 (95% CI 1.33-3.01), 3.17 (95% CI 2.07-4.87), and 4.30 (95% CI 2.73-6.78), respectively. The graded positive associations with hard CVD were consistently observed in subgroups of age, sex, and race, with the presence or absence of hypertension or diabetes. By analyzing potential risk factors for distinctive CAC trajectories, risk factors for the onset and progression of CAC could possibly differ: age, male sex, history of hypertension, and diabetes are consistently associated with the low-, moderate-, and elevated-increasing trajectories. However, Caucasian race, cigarette smoking, and a higher body mass index was related only to risk of progression but not to incident CAC.
In this multi-ethnic population-based cohort, four unique trajectories in CAC change over a 10-year span were identified. These findings signal an underlying high-risk population and may inspire future studies on risk management.
冠状动脉钙化(CAC)进展是否以及如何导致心血管疾病结局尚未完全阐明。本研究的目的是识别CAC变化的不同模式,并评估其与不同心血管疾病结局的关联。
分析动脉粥样硬化多族裔研究的数据。纳入至少有三次CT测量的参与者。主要研究结局是严重心血管疾病(CVD)。CAC分数被确定为经体模校正的阿加斯顿分数。使用基于组的轨迹模型识别潜在组,并使用Cox比例回归模型估计风险比(HR)和95%置信区间(CI)。
最终共纳入3616名参与者[平均年龄60.55(标准差9.54)岁,男性占47.76%,白种人占39.30%]。识别出CAC的四种不同轨迹:1类,低稳定型(24.17%);2类,低增长型(27.60%);3类,中度增长型(30.56%);4类,升高增长型(17.67%)。在13.58(标准差2.25)年的随访期间,发生了291例严重CVD病例。1-4类每1000人年的严重CVD事件发生率分别为2.23(95%CI 1.53-3.25)、4.60(95%CI 3.60-5.89)、7.67(95%CI 6.38-9.21)和10.37(95%CI 8.41-12.80)。与分配到1类的参与者相比,2-4类严重CVD的完全校正HR分别为2.10(95%CI 1.33-3.01)、3.17(95%CI 2.07-4.87)和4.30(95%CI 2.73-6.78)。在年龄、性别和种族亚组中,无论是否存在高血压或糖尿病,均一致观察到与严重CVD的分级正相关。通过分析不同CAC轨迹的潜在危险因素,CAC发生和进展的危险因素可能不同:年龄、男性、高血压病史和糖尿病与低、中、升高增长轨迹始终相关。然而,白种人、吸烟和较高的体重指数仅与进展风险相关,而与CAC的发生无关。
在这个基于多族裔人群的队列中,识别出了10年期间CAC变化的四种独特轨迹。这些发现表明存在潜在的高危人群,并可能激发未来关于风险管理的研究。