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无症状严重主动脉瓣狭窄患者的高敏肌钙蛋白 T。

High-sensitivity troponin T in asymptomatic severe aortic stenosis.

机构信息

a Heart Institute, Hospital Universitari Germans Trias i Pujol , Badalona , Spain.

b Department of Medicine, CIBERCV , Autonomous University of Barcelona , Barcelona , Spain.

出版信息

Biomarkers. 2019 Jun;24(4):334-340. doi: 10.1080/1354750X.2019.1567818. Epub 2019 Feb 6.

Abstract

In asymptomatic severe aortic stenosis (ASAS), treatment decisions are made on an individual basis, and case management presents a clinical conundrum. We prospectively phenotyped consecutive patients with ASAS using echocardiography, exercise echocardiography, cardiac MRI and biomarkers (NT-proBNP, high-sensitivity troponin T (hs-TnT) and ST2) ( = 58). The primary endpoint was a composite of cardiovascular death, new-onset symptoms, cardiac hospitalization, guideline-driven indication for valve replacement and cardiovascular death at 12 months. During the first year, 46.6% patients met primary endpoint. In multivariable analysis, aortic regurgitation ≥2 ( = 0.01) and hs-TnT ( = 0.007) were the only independent predictors of the primary endpoint. The best cutoff value was identified as hs-TnT >10ng/L, which was associated with a ∼10-fold greater risk of the primary endpoint (HR, 9.62; 95% CI, 2.27-40.8;  = 0.002). A baseline predictive model including age, sex and variables showing  < 0.10 in univariable analyses showed an area under the curve (AUC) of 0.79(0.66-0.91). Incorporation of hs-TnT into this model increased the AUC to 0.90(0.81-0.98) ( = 0.03). Patient reclassification with the model including hs-TnT yielded an NRI of 1.28(0.46-1.78), corresponding to 43% adequately reclassified patients. In patients with ASAS, hs-TnT >10ng/L was associated with high risk of events within 12 months. Including hs-TnT in routine ASAS management markedly improved prediction metrics.

摘要

在无症状重度主动脉瓣狭窄(ASAS)中,治疗决策是基于个体情况做出的,因此病例管理存在临床难题。我们前瞻性地使用超声心动图、运动超声心动图、心脏 MRI 和生物标志物(NT-proBNP、高敏肌钙蛋白 T(hs-TnT)和 ST2)对连续的 ASAS 患者进行表型分析( = 58)。主要终点是 12 个月时心血管死亡、新发症状、心脏住院、指导瓣膜置换的适应证和心血管死亡的复合终点。在第一年,46.6%的患者达到了主要终点。多变量分析中,主动脉瓣反流≥2 ( = 0.01)和 hs-TnT( = 0.007)是主要终点的唯一独立预测因素。最佳截断值确定为 hs-TnT >10ng/L,这与主要终点的风险增加约 10 倍相关(HR,9.62;95%CI,2.27-40.8; = 0.002)。包括年龄、性别和单变量分析中 < 0.10 的变量的基线预测模型显示曲线下面积(AUC)为 0.79(0.66-0.91)。将 hs-TnT 纳入该模型可将 AUC 提高至 0.90(0.81-0.98)( = 0.03)。使用包含 hs-TnT 的模型对患者进行重新分类,可获得 1.28(0.46-1.78)的 NRI,相当于 43%的患者得到了充分重新分类。在 ASAS 患者中,hs-TnT >10ng/L 与 12 个月内发生事件的高风险相关。将 hs-TnT 纳入 ASAS 常规管理可显著改善预测指标。

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