Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA
Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN.
Diabetes Care. 2020 Sep;43(9):2199-2207. doi: 10.2337/dc20-0359. Epub 2020 Jul 2.
High-sensitivity cardiac troponin-T (hs-cTnT) and N-terminal prohormone of B-type natriuretic peptide (NT-proBNP), biomarkers of cardiovascular disease (CVD) and heart failure, respectively, have not been widely studied in type 1 diabetes (T1D). We evaluated whether their assessment in T1D enhances the prediction of CVD and major adverse cardiovascular events (MACE).
hs-cTnT and NT-proBNP were analyzed on the Roche Cobas E601 using the first available stored specimen ( = 581; mean age 29 years and diabetes duration 21 years). CVD was defined as CVD death, myocardial infarction, coronary revascularization, angina, ischemia, or stroke, and MACE as CVD death, myocardial infarction, or stroke.
Median hs-cTnT (5.0 ng/L; interquartile range <3.0, 10.0) was higher among men ( < 0.0001), whereas median NT-proBNP (22.0 ng/L; 7.0, 61.0) did not differ by sex. In Cox models, log hs-cTnT (hazard ratio [HR] 1.38, = 0.0006) and log NT-proBNP (HR 1.24, = 0.0001) independently predicted CVD during 21 years of follow-up. However, their addition to models, singly or together, did not significantly improve CVD prediction. Furthermore, a marginally significant sex interaction was observed ( = 0.06), indicating that the hs-cTnT prediction was limited to men. hs-cTnT and NT-proBNP also predicted MACE, although only NT-proBNP remained significant (HR 1.27, = 0.0009) when the biomarkers were included in a model simultaneously. Nonetheless, their addition to multivariable models did not enhance MACE prediction.
Sex differences were observed in the concentration and predictive ability of hs-cTnT and NT-proBNP in T1D. Overall, their addition to traditional risk factor models increased the area under the curve for neither CVD nor MACE.
高敏心肌肌钙蛋白 T(hs-cTnT)和 N 末端脑利钠肽前体(NT-proBNP)分别是心血管疾病(CVD)和心力衰竭的生物标志物,在 1 型糖尿病(T1D)患者中尚未广泛研究。我们评估了在 T1D 中评估它们是否可以增强对 CVD 和主要不良心血管事件(MACE)的预测。
使用罗氏 Cobas E601 分析 hs-cTnT 和 NT-proBNP,使用首次获得的存储标本(=581;平均年龄 29 岁,糖尿病病程 21 年)。CVD 定义为 CVD 死亡、心肌梗死、冠状动脉血运重建、心绞痛、缺血或中风,MACE 为 CVD 死亡、心肌梗死或中风。
男性的中位 hs-cTnT(5.0ng/L;四分位距 <3.0,10.0)较高(<0.0001),而 NT-proBNP (22.0ng/L;7.0,61.0)不分性别。在 Cox 模型中,log hs-cTnT(危险比 [HR]1.38,=0.0006)和 log NT-proBNP(HR1.24,=0.0001)独立预测了 21 年随访期间的 CVD。然而,将它们单独或一起添加到模型中并没有显著改善 CVD 预测。此外,观察到性别交互作用略有显著(=0.06),表明 hs-cTnT 预测仅限于男性。hs-cTnT 和 NT-proBNP 也预测了 MACE,尽管当生物标志物同时被纳入模型时,只有 NT-proBNP 仍然显著(HR1.27,=0.0009)。尽管如此,将它们添加到多变量模型中并不能提高 MACE 预测。
在 T1D 中,hs-cTnT 和 NT-proBNP 的浓度和预测能力存在性别差异。总体而言,将它们添加到传统危险因素模型中,无论是对 CVD 还是 MACE,都没有增加曲线下面积。