Flow-driven left ventricular remodelling in long-term haemodialysis: a multicenter model of arteriovenous access-induced cardiac load

长期血液透析中血流驱动的左心室重构:动静脉通路诱发心脏负荷的多中心模型

阅读:1

Abstract

BACKGROUND: Arteriovenous (AV) access, an essential component of dialysis treatment, has been implicated in the development of cardiovascular abnormalities. However, whether AV access blood flow and the duration of exposure to this flow, as represented by the dialysis vintage, have independent or interactive effects on cardiac outcomes remains unclear. METHODS: In this multicenter cross-sectional study, we enrolled hemodialysis patients who had undergone both transthoracic echocardiography and measurement of AV access flow, between April 2014 and January 2024. Left ventricular mass index (LVMI) was used as a surrogate marker of cardiovascular morbidity. AV access flow was quantified as brachial artery flow volume (FV) using pulsed Doppler ultrasonography. Multivariate regression models were applied to investigate the associations of FV and dialysis vintage with LVMI, and to assess potential interactions between these variables. RESULTS: A total of 241 patients were included. The mean FV was 0.71 ± 0.29 L/min, and the median dialysis vintage was 5.0 years (interquartile range, 3.0-11.0 years). Higher FV was significantly associated with increased LVMI (mean difference = 22.83; 95% confidence interval [CI]: 0.37 to 45.29; p = 0.046), whereas dialysis vintage was not (mean difference = 0.51; 95% CI: -0.41 to 1.45; p = 0.27). Moreover, no statistically significant interaction was observed (mean difference = 0.13; 95% CI: -3.14 to 3.40; p = 0.94). CONCLUSION: AV access flow may serve as a candidate variable in future left ventricular hypertrophy prediction algorithms and cardio-renal machine learning models because of its linear and independently significant association with LVMI.

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。