Inova Center for Thrombosis Research and Drug Development, Inova Heart and Vascular Institute, Fairfax, VA, USA.
Inova Center for Thrombosis Research and Drug Development, Inova Heart and Vascular Institute, Fairfax, VA, USA.
Atherosclerosis. 2018 Jan;268:55-62. doi: 10.1016/j.atherosclerosis.2017.11.018. Epub 2017 Nov 20.
Conventional cardiovascular risk estimators based on clinical demographics have limited prediction of coronary events. Markers for thrombogenicity and vascular function have not been explored in risk estimation of high-risk patients with coronary artery disease. We aimed to develop a clinical and biomarker score to predict 3-year adverse cardiovascular events.
Four hundred eleven patients, with ejection fraction ≥40% undergoing coronary angiography, and found to have a luminal diameter stenosis ≥50%, were included in the analysis. Thrombelastography indices and central pulse pressure (CPP) were determined at the time of catheterization.
We identified predictors of death, myocardial infarction (MI) or stroke and developed a numerical ischemia risk score. The primary endpoint of cardiovascular death, MI or stroke occurred in 22 patients (5.4%). The factors associated with events were age, prior PCI or CABG, diabetes, CPP, and thrombin-induced platelet-fibrin clot strength, and were included in the MAGMA-ischemia score. The MAGMA-ischemia score showed a c-statistic of 0.85 (95% Confidence Interval [CI] 0.80-0.87; p<0.001) for the primary endpoint. In the subset of patients who underwent revascularization, the c-statistic was 0.90 (p<0.001). Patients with MAGMA-ischemia score greater than 5 had highest risk to develop clinical events, hazard ratio for the primary endpoint: 13.9 (95% CI 5.8-33.1, p<0.001) and for the secondary endpoint: 4.8 (95% CI 2.3-9.6, p<0.001). When compared to previous models, the MAGMA-ischemia score yielded a higher discrimination.
Inclusion of CPP and assessment of thrombogenicity in a novel score for patients with documented CAD enhanced the prediction of events.
基于临床人口统计学的传统心血管风险评估器对冠状动脉事件的预测能力有限。血栓形成和血管功能标志物尚未在有冠状动脉疾病的高危患者的风险评估中进行探索。我们旨在开发一种临床和生物标志物评分来预测 3 年不良心血管事件。
共纳入 411 例接受冠状动脉造影且射血分数≥40%、发现管腔直径狭窄≥50%的患者进行分析。在导管插入术时测定血栓弹力图指数和中心脉搏压(CPP)。
我们确定了死亡、心肌梗死(MI)或中风的预测因素,并制定了数值性缺血风险评分。心血管死亡、MI 或中风的主要终点在 22 例患者(5.4%)中发生。与事件相关的因素为年龄、既往 PCI 或 CABG、糖尿病、CPP 和凝血酶诱导的血小板-纤维蛋白凝块强度,并包含在 MAGMA-缺血评分中。MAGMA-缺血评分对主要终点的 C 统计量为 0.85(95%置信区间 [CI] 0.80-0.87;p<0.001)。在接受血运重建的患者亚组中,C 统计量为 0.90(p<0.001)。MAGMA-缺血评分>5 的患者发生临床事件的风险最高,主要终点的危险比为 13.9(95%CI 5.8-33.1,p<0.001),次要终点的危险比为 4.8(95%CI 2.3-9.6,p<0.001)。与既往模型相比,MAGMA-缺血评分具有更高的区分度。
在有明确 CAD 患者的新型评分中纳入 CPP 和血栓形成评估,增强了对事件的预测能力。