Corresponding author: Graham S. Hillis,
Diabetes Care. 2014;37(1):295-303. doi: 10.2337/dc13-1165. Epub 2013 Oct 2.
OBJECTIVE Current methods of risk stratification in patients with type 2 diabetes are suboptimal. The current study assesses the ability of N-terminal pro-B-type natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) to improve the prediction of cardiovascular events and death in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS A nested case-cohort study was performed in 3,862 patients who participated in the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation (ADVANCE) trial. RESULTS Seven hundred nine (18%) patients experienced a major cardiovascular event (composite of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke) and 706 (18%) died during a median of 5 years of follow-up. In Cox regression models, adjusting for all established risk predictors, the hazard ratio for cardiovascular events for NT-proBNP was 1.95 per 1 SD increase (95% CI 1.72, 2.20) and the hazard ratio for hs-cTnT was 1.50 per 1 SD increase (95% CI 1.36, 1.65). The hazard ratios for death were 1.97 (95% CI 1.73, 2.24) and 1.52 (95% CI 1.37, 1.67), respectively. The addition of either marker improved 5-year risk classification for cardiovascular events (net reclassification index in continuous model, 39% for NT-proBNP and 46% for hs-cTnT). Likewise, both markers greatly improved the accuracy with which the 5-year risk of death was predicted. The combination of both markers provided optimal risk discrimination. CONCLUSIONS NT-proBNP and hs-cTnT appear to greatly improve the accuracy with which the risk of cardiovascular events or death can be estimated in patients with type 2 diabetes.
2 型糖尿病患者的当前风险分层方法并不理想。本研究评估了 N 末端脑利钠肽前体(NT-proBNP)和高敏心肌肌钙蛋白 T(hs-cTnT)在预测 2 型糖尿病患者心血管事件和死亡方面的能力。
在参加糖尿病和血管疾病行动:培哚普利与米格列醇缓释片控制评估(ADVANCE)试验的 3862 名患者中进行了嵌套病例对照研究。
709 例(18%)患者经历了主要心血管事件(心血管死亡、非致死性心肌梗死或非致死性卒中的复合终点),706 例(18%)患者在中位 5 年随访期间死亡。在 Cox 回归模型中,调整所有既定风险预测因素后,NT-proBNP 每增加 1 个标准差,心血管事件的风险比为 1.95(95%CI 1.72,2.20),hs-cTnT 每增加 1 个标准差,风险比为 1.50(95%CI 1.36,1.65)。死亡的风险比分别为 1.97(95%CI 1.73,2.24)和 1.52(95%CI 1.37,1.67)。这两种标志物的加入均提高了 5 年心血管事件风险的分类(连续模型中的净重新分类指数,NT-proBNP 为 39%,hs-cTnT 为 46%)。同样,这两种标志物都大大提高了预测 5 年死亡风险的准确性。两种标志物的联合提供了最佳的风险区分度。
NT-proBNP 和 hs-cTnT 似乎极大地提高了 2 型糖尿病患者心血管事件或死亡风险的预测准确性。