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心脏生物标志物与社区出血住院风险:动脉粥样硬化风险社区研究。

Cardiac Biomarkers and Subsequent Risk of Hospitalization With Bleeding in the Community: Atherosclerosis Risk in Communities Study.

机构信息

Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD.

Division of Cardiology Johns Hopkins School of Medicine Baltimore MD.

出版信息

J Am Heart Assoc. 2020 Mar 3;9(5):e013560. doi: 10.1161/JAHA.119.013560. Epub 2020 Mar 2.

Abstract

Background hs-cTnT (high-sensitivity cardiac troponin T), but not NT-proBNP (N-terminal pro-B natriuretic peptide), has been shown to predict bleeding in patients with atrial fibrillation. Whether these biomarkers are independently associated with bleeding in the general population is unknown. Methods and Results We used Cox proportional hazards models to examine the association of hs-cTnT and NT-proBNP with incident bleeding (defined by [] codes) among 9550 middle-aged men and women without a history of cardiovascular disease or bleeding. There were 847 hospitalizations with bleeding (92% from gastrointestinal bleeding) during a median follow-up of 9.0 years. Serum levels of hs-cTnT were associated with bleeding in a graded fashion, with a hazard ratio of 1.28 (95% CI, 1.06-1.59) for 6 to <9 ng/L, 1.52 (1.21-1.91) for 9 to <14, and 2.05 (1.56-2.69) for ≥14 versus <3 ng/L. For NT-proBNP, the highest category (≥264 versus <42 pg/mL) showed a hazard ratio of 2.00 (1.59-2.61), and the remaining 3 categories had hazard ratios ranging from 1.2 to 1.3. Individuals in the highest category of both hs-cTnT and NT-proBNP had a hazard ratio of 3.03 (1.97-4.68) compared with those in the lowest categories. Conclusions In a community-based population, elevated hs-cTnT and NT-proBNP were associated with bleeding-related hospitalizations. These biomarkers may have a high utility in identifying people at high risk for bleeding. There is a need for research on the underlying mechanisms linking subclinical cardiac abnormalities and bleeding.

摘要

背景 hs-cTnT(高敏心肌肌钙蛋白 T),但不是 NT-proBNP(N 末端脑钠肽前体),已被证明可预测房颤患者的出血风险。这些生物标志物是否与一般人群的出血独立相关尚不清楚。

方法和结果 我们使用 Cox 比例风险模型,在 9550 例无心血管疾病或出血史的中年男女中,研究 hs-cTnT 和 NT-proBNP 与出血事件(由 [] 代码定义)的相关性。在中位随访 9.0 年期间,发生 847 例出血事件(92%来自胃肠道出血)。hs-cTnT 水平与出血呈梯度相关,6 至 <9ng/L、9 至 <14ng/L、≥14ng/L 与 <3ng/L 相比,风险比分别为 1.28(95%CI,1.06-1.59)、1.52(1.21-1.91)和 2.05(1.56-2.69)。对于 NT-proBNP,最高类别(≥264 与 <42pg/mL)的风险比为 2.00(1.59-2.61),其余 3 个类别风险比范围为 1.2 至 1.3。hs-cTnT 和 NT-proBNP 最高类别的个体与最低类别相比,风险比为 3.03(1.97-4.68)。

结论 在基于社区的人群中,hs-cTnT 和 NT-proBNP 升高与出血相关的住院治疗相关。这些生物标志物可能对识别出血风险高的人群具有很高的应用价值。需要研究亚临床心脏异常与出血之间的潜在机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/621e/7335570/b5c5241d53df/JAH3-9-e013560-g001.jpg

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