Serial high-sensitivity cardiac troponin I trajectories predict cardiovascular events in hemodialysis patients

连续监测高敏心肌肌钙蛋白I的变化轨迹可预测血液透析患者的心血管事件。

阅读:1

Abstract

BACKGROUND: Although commonly elevated in maintenance hemodialysis (MHD) patients without apparent myocardial ischemia, the prognostic significance of serial high-sensitivity cardiac troponin I (hs-cTnI) changes remains underexplored. We aimed to evaluate the association between longitudinal hs-cTnI trajectories and cardiovascular events in MHD patients. METHODS: This retrospective cohort study enrolled 265 clinically stable MHD patients with repeated hs-cTnI measurements (mean six per patient) and followed them until the first major adverse cardiovascular event (MACE) or January 2024. Nonlinear relationships were analyzed using restricted cubic splines, with inflection points identified to assess threshold and saturation effects. Multivariate regression analyses, time-dependent Cox and splines for time were used to investigate the association of hs-cTnI with MACE using single time point (at baseline) and repeated measurements, respectively. RESULTS: Among 265 MHD patients, the incidence of MACE was 41.9%. Nonlinear relationships between hs-cTnI and MACE were identified, with an inflection point at 64 ng/L. Multiple regression equations showed a 2.06-fold increased risk of MACE in the high baseline hs-cTnI group compared with the low baseline hs-cTnI group after adjusting for numerous influencing factors. After full adjustment, each 10 ng/L increase in the time-updated hs-cTnI value remained significantly associated with a 2.71% elevated risk of MACE. Splines for time demonstrated that patients with MACE exhibited higher hs-cTnI concentrations and steeper trajectories compared with those without MACE. CONCLUSION: Serial hs-cTnI changes independently predict cardiovascular risk in MHD patients, suggesting that dynamic measurement of hs-cTnI may be useful for monitoring cardiovascular prognosis and early intervention in this high-risk population.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。