de Lemos James A, Ayers Colby R, Levine Benjamin D, deFilippi Christopher R, Wang Thomas J, Hundley W Gregory, Berry Jarett D, Seliger Stephen L, McGuire Darren K, Ouyang Pamela, Drazner Mark H, Budoff Matthew, Greenland Philip, Ballantyne Christie M, Khera Amit
From Departments of Medicine (J.A.d.L., B.L., J.P.B., D.K.M., M.H.D., A.K.) and Clinical Sciences (C.R.A., J.D.B., D.K.M.), University of Texas Southwestern Medical Center, Dallas; Institute for Exercise and Environmental Medicine, Texas Health Presbyterian, Dallas (B.L.); Inova Heart and Vascular Institute, Fall Church, VA (C.R.d.); Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (T.J.W.); Departments of Medicine and Radiological Sciences, Wake Forest Health Sciences, Winston-Salem, NC (W.G.H.); Department of Medicine, University of Maryland School of Medicine, Baltimore (S.L.S.); The Johns Hopkins University School of Medicine, Baltimore, MD (P.O.); Los Angeles Biomedical Research Institute, CA (M.B.); Departments of Preventive Medicine and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (P.G.); and Baylor College of Medicine, Houston, TX (G.M.B.).
Circulation. 2017 May 30;135(22):2119-2132. doi: 10.1161/CIRCULATIONAHA.117.027272. Epub 2017 Mar 30.
Current strategies for cardiovascular disease (CVD) risk assessment among adults without known CVD are limited by suboptimal performance and a narrow focus on only atherosclerotic CVD (ASCVD). We hypothesized that a strategy combining promising biomarkers across multiple different testing modalities would improve global and atherosclerotic CVD risk assessment among individuals without known CVD.
We included participants from MESA (Multi-Ethnic Study of Atherosclerosis) (n=6621) and the Dallas Heart Study (n=2202) who were free from CVD and underwent measurement of left ventricular hypertrophy by ECG, coronary artery calcium, N-terminal pro B-type natriuretic peptide, high-sensitivity cardiac troponin T, and high-sensitivity C-reactive protein. Associations of test results with the global composite CVD outcome (CVD death, myocardial infarction, stroke, coronary or peripheral revascularization, incident heart failure, or atrial fibrillation) and ASCVD (fatal or nonfatal myocardial infarction or stroke) were assessed over >10 years of follow-up. Multivariable analyses for the primary global CVD end point adjusted for traditional risk factors plus statin use and creatinine (base model).
Each test result was independently associated with global composite CVD events in MESA after adjustment for the components of the base model and the other test results (<0.05 for each). When the 5 tests were added to the base model, the c-statistic improved from 0.74 to 0.79 (=0.001), significant integrated discrimination improvement (0.07, 95% confidence interval [CI] 0.06-0.08, <0.001) and category free net reclassification improvement (0.47; 95% CI, 0.38-0.56; =0.003) were observed, and the model was well calibrated (χ=12.2, =0.20). Using a simple integer score counting the number of abnormal tests, compared with those with a score of 0, global CVD risk was increased among participants with a score of 1 (adjusted hazard ratio, 1.9; 95% CI, 1.4-2.6), 2 (hazard ratio, 3.2; 95% CI, 2.3-4.4), 3 (hazard ratio, 4.7; 95% CI, 3.4-6.5), and ≥4 (hazard ratio, 7.5; 95% CI, 5.2-10.6). Findings replicated in the Dallas Health Study were similar for the ASCVD outcome.
Among adults without known CVD, a novel multimodality testing strategy using left ventricular hypertrophy by ECG, coronary artery calcium, N-terminal pro B-type natriuretic peptide, high-sensitivity cardiac troponin T, and high-sensitivity C-reactive protein significantly improved global CVD and ASCVD risk assessment.
目前针对无已知心血管疾病(CVD)的成年人进行心血管疾病风险评估的策略存在局限性,表现欠佳且仅狭隘地关注动脉粥样硬化性心血管疾病(ASCVD)。我们推测,一种结合多种不同检测方式中前景良好的生物标志物的策略,将改善无已知CVD个体的整体和动脉粥样硬化性心血管疾病风险评估。
我们纳入了来自动脉粥样硬化多族裔研究(MESA)(n = 6621)和达拉斯心脏研究(n = 2202)的参与者,这些参与者无CVD,并接受了通过心电图测量左心室肥厚、冠状动脉钙化、N末端B型利钠肽原、高敏心肌肌钙蛋白T和高敏C反应蛋白的检测。在超过10年的随访中,评估检测结果与整体复合CVD结局(CVD死亡、心肌梗死、中风、冠状动脉或外周血管重建、新发心力衰竭或心房颤动)和ASCVD(致命或非致命心肌梗死或中风)的关联。对主要的整体CVD终点进行多变量分析,调整了传统风险因素、他汀类药物使用情况和肌酐(基础模型)。
在对基础模型的组成部分和其他检测结果进行调整后,MESA中每个检测结果均与整体复合CVD事件独立相关(每项均P<0.05)。当将这5项检测添加到基础模型中时,c统计量从0.74提高到0.79(P = 0.001),观察到显著的综合判别改善(0.07,95%置信区间[CI] 0.06 - 0.08,P<0.001)和无类别净重新分类改善(0.47;95% CI,0.38 - 0.56;P = 0.003),并且模型校准良好(χ² = 12.2,P = 0.20)。使用一个简单的整数分数来计算异常检测的数量,与分数为0的参与者相比,分数为1的参与者(调整后的风险比,1.9;95% CI,1.4 - 2.6)、2(风险比,3.2;95% CI,2.3 - 4.4)、3(风险比,4.7;95% CI,3.4 - 6.5)和≥4(风险比,7.5;95% CI,5.2 - 10.6)的整体CVD风险增加。在达拉斯健康研究中针对ASCVD结局的研究结果与之相似。
在无已知CVD的成年人中,一种使用心电图左心室肥厚、冠状动脉钙化、N末端B型利钠肽原、高敏心肌肌钙蛋白T和高敏C反应蛋白的新型多模态检测策略显著改善了整体CVD和ASCVD风险评估。