Akintoye Emmanuel, Briasoulis Alexandros, Afonso Luis
Department of Internal Medicine, Detroit Medical Center, Wayne State University, Detroit, MI.
Division of Cardiology, Mayo Clinic, Rochester, MN.
Am Heart J. 2017 Nov;193:95-103. doi: 10.1016/j.ahj.2017.08.002. Epub 2017 Aug 10.
The recommendation for statins in primary atherosclerotic cardiovascular disease (ASCVD) prevention begins with risk estimation using the pooled cohort equation (PCE). However, treatment decisions may still remain uncertain after PCE-based assessment. We therefore developed a simple biomarker score that could supplement decision making.
Using the prospectively collected database of the Multi-Ethnic Study of Atherosclerosis, we identified biochemical risk markers that independently predicted 10-year risk of ASCVD and developed an aggregate biomarker score based on them. Thereafter, we assessed for incremental benefit of these markers over the PCE using C-statistic, net reclassification index (NRI), and integrated discrimination index (IDI).
A total of 5,303 adults free of ASCVD at baseline were included in this study. Five biochemical risk markers-high-sensitivity C-reactive protein, homocysteine, albuminuria, N-terminal prohormone of brain natriuretic peptide, and troponin T-that predicted 10-year risk of ASCVD were combined into an aggregate biomarker score (CHANT), which demonstrated a graded increase in the rate of incident ASCVD from 2.1% among participants with score of 0 to 25% among participants with score of 5. In addition, a biomarker score of ≥2 was associated with improvement in the C-statistic of the PCE (0.748 vs 0.734, P=.02), integrated discrimination index (P<.001), category-free NRI of 45% (95% CI, 31%-57%), and net categorical NRI of 5.4% in the full cohort. Lastly, a biomarker score of ≥4 resulted in 6% net reclassification across ASCVD risk cut point of 7.5% among nondiabetic individuals with LDL-C<190mg/dL.
A novel CHANT biomarker score could supplement risk-based discussion for ASCVD prevention, especially when treatment decision is uncertain. Further validation in other cohorts is however warranted.
在原发性动脉粥样硬化性心血管疾病(ASCVD)预防中使用他汀类药物的建议始于使用合并队列方程(PCE)进行风险评估。然而,基于PCE的评估后治疗决策可能仍不确定。因此,我们开发了一种简单的生物标志物评分,可辅助决策制定。
利用前瞻性收集的动脉粥样硬化多民族研究数据库,我们确定了独立预测ASCVD 10年风险的生化风险标志物,并基于这些标志物开发了一个综合生物标志物评分。此后,我们使用C统计量、净重新分类指数(NRI)和综合鉴别指数(IDI)评估这些标志物相对于PCE的增量益处。
本研究共纳入5303名基线时无ASCVD的成年人。将五个预测ASCVD 10年风险的生化风险标志物——高敏C反应蛋白、同型半胱氨酸、蛋白尿、脑钠肽前体N端和肌钙蛋白T——合并为一个综合生物标志物评分(CHANT),该评分显示ASCVD发病率从评分为0的参与者中的2.1%逐渐增加到评分为5的参与者中的25%。此外,生物标志物评分≥2与PCE的C统计量改善相关(0.748对0.734,P = 0.02)、综合鉴别指数(P < 0.001)、全队列中无类别NRI为45%(95%CI,31% - 57%)以及净类别NRI为5.4%。最后,在低密度脂蛋白胆固醇<190mg/dL的非糖尿病个体中,生物标志物评分≥4导致在ASCVD风险切点为7.5%时净重新分类6%。
一种新的CHANT生物标志物评分可以补充基于风险的ASCVD预防讨论,特别是在治疗决策不确定时。然而,需要在其他队列中进行进一步验证。