Division of Cardiology, Lundquist Institute at Harbor UCLA Medical Center, Torrance, California, USA.
Department of Cardiovascular Medicine, Toho University Graduate School of Medicine, Tokyo, Japan.
J Cardiovasc Med (Hagerstown). 2023 Sep 1;24(9):680-688. doi: 10.2459/JCM.0000000000001524. Epub 2023 Jul 5.
Mitral annular calcification (MAC) is associated with an increased risk for cardiovascular morbidity and mortality. This study provides recent data on the association between cardiac computed tomography (CT) derived MAC and 15 years of stroke risk in a racially diverse cohort.
All multiethnic studies of atherosclerosis participants ( n = 6814) who completed a cardiac CT at baseline were included in this analysis. MAC score was calculated from cardiac CT using the Agatston and volume score methods. Multivariable Cox proportional hazard regression models were used to compute hazard ratios for the association between MAC and stroke after adjusting for traditional cardiovascular risk factors, inflammatory markers, coronary artery calcium score, atrial fibrillation, and left atrial size.
Overall, 9% of participants (644/6814) had MAC at baseline. Over a surveillance period of 15 years, 304 strokes occurred, and 79% were ischemic strokes. After adjusting for age, sex, race/ethnicity, SBP, diabetes, smoking, fibrinogen, IL-6, high-sensitivity C-reactive protein, and coronary artery calcium score, baseline MAC was associated with increased risk for all strokes [hazard ratio 1.68; 95% confidence interval (CI) 1.22-2.30: P = 0.0013]. When atrial fibrillation/flutter and left atrial size were included in the final multivariable model, MAC remained a predictor of all strokes (hazard ratio 1.93; 95% CI 1.22-3.05: P < 0.0051) and ischemic stroke (hazard ratio 2.03; 95% CI 1.24-3.31: P < 0.0046).
MAC is an independent predictor of long-term stroke risk in a racially diverse population beyond conventional cardiovascular risk factors and atrial fibrillation.
二尖瓣环钙化(MAC)与心血管发病率和死亡率增加相关。本研究提供了种族多样化队列中心脏计算机断层扫描(CT)得出的 MAC 与 15 年中风风险之间关联的最新数据。
本分析纳入了所有在基线时完成心脏 CT 的动脉粥样硬化多民族研究参与者(n=6814)。使用 Agatston 和体积评分法从心脏 CT 计算 MAC 评分。多变量 Cox 比例风险回归模型用于计算 MAC 与调整传统心血管危险因素、炎症标志物、冠状动脉钙评分、心房颤动和左心房大小后中风之间关联的风险比。
总体而言,6814 名参与者中有 9%(644 名)在基线时存在 MAC。在 15 年的监测期间,发生了 304 例中风,其中 79%为缺血性中风。调整年龄、性别、种族/民族、SBP、糖尿病、吸烟、纤维蛋白原、IL-6、高敏 C 反应蛋白和冠状动脉钙评分后,基线 MAC 与所有中风风险增加相关[风险比 1.68;95%置信区间(CI)1.22-2.30:P=0.0013]。当将心房颤动/扑动和左心房大小纳入最终多变量模型时,MAC 仍然是所有中风(风险比 1.93;95%CI 1.22-3.05:P<0.0051)和缺血性中风(风险比 2.03;95%CI 1.24-3.31:P<0.0046)的预测因子。
MAC 是种族多样化人群中风风险的独立预测因子,超过了传统心血管危险因素和心房颤动。