Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY.
Departments of Epidemiology and Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Diabetes Care. 2022 Apr 1;45(4):975-982. doi: 10.2337/dc21-1607.
To assess lifetime cardiovascular disease (CVD) risk by coronary artery calcium (CAC) score in individuals with diabetes from the Multi-Ethnic Study of Atherosclerosis (MESA) and compare risk with that in individuals without diabetes.
We developed a microsimulation model with well, diabetes, post-CVD, and death health states using multivariable time-dependent Cox regression with age as time scale. We initially used 10-year follow-up data of 6,769 MESA participants, including coronary heart disease (CHD) (n = 272), heart failure (n = 201), stroke (n = 186), and competing death (n = 619) and assessed predictive validity at 15 years. We externally validated the model in matched National Health and Nutrition Examination Survey (NHANES) participants. Subsequently, we predicted CVD risk until age 100 years by diabetes, 10-year pooled cohort equations risk, and CAC score category (0, 1-100, or 100+).
The model showed good calibration and discriminative performance at 15 years, with discrimination indices 0.71-0.78 across outcomes. In the NHANES cohort, predicted 15-year mortality risk corresponded well with Kaplan-Meier risk, especially for those with diabetes: 29.6% (95% CI 24.9-34.8) vs. 32.4% (95% CI 27.2-37.2), respectively. Diabetes increased lifetime CVD risk, similar to shifting one CAC category upward (from 0 to 1-100 or from 1-100 to 100+). Patients with diabetes and CAC score of 0 had a lifetime CVD risk that overlapped with that of individuals without diabetes who were at low 10-year pooled cohort equations risk (<7.5%).
Patients with diabetes carry a spectrum of CVD risk. CAC scoring may improve decisions for preventive interventions for patients with diabetes by better delineating lifetime CVD risk.
通过冠状动脉钙(CAC)评分评估来自动脉粥样硬化多民族研究(MESA)的糖尿病患者的终生心血管疾病(CVD)风险,并将其与无糖尿病患者的风险进行比较。
我们使用多变量时依 Cox 回归,以年龄为时间尺度,开发了一个具有良好、糖尿病、CVD 后和死亡健康状态的微模拟模型。我们最初使用了 6769 名 MESA 参与者的 10 年随访数据,包括冠心病(CHD)(n=272)、心力衰竭(n=201)、中风(n=186)和竞争死亡(n=619),并在 15 年内评估了预测的有效性。我们在匹配的国家健康和营养检查调查(NHANES)参与者中对模型进行了外部验证。随后,我们根据糖尿病、10 年汇总队列方程风险和 CAC 评分类别(0、1-100 或 100+)预测至 100 岁的 CVD 风险。
该模型在 15 年内显示出良好的校准和区分性能,各结局的区分指数为 0.71-0.78。在 NHANES 队列中,预测的 15 年死亡率风险与 Kaplan-Meier 风险非常吻合,尤其是对于那些患有糖尿病的患者:29.6%(95%CI 24.9-34.8)与 32.4%(95%CI 27.2-37.2),分别。糖尿病增加了终生 CVD 风险,与向上移动一个 CAC 类别(从 0 到 1-100 或从 1-100 到 100+)相似。CAC 评分为 0 的糖尿病患者的终生 CVD 风险与低 10 年汇总队列方程风险(<7.5%)的无糖尿病患者重叠。
糖尿病患者存在一系列 CVD 风险。CAC 评分通过更好地描绘终生 CVD 风险,可以为糖尿病患者的预防干预决策提供帮助。