Prognostic impact of cardiovascular magnetic resonance-derived left atrioventricular coupling Index in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement

心血管磁共振成像衍生的左房室耦合指数对接受经导管主动脉瓣置换术的重度主动脉瓣狭窄患者的预后影响

阅读:2

Abstract

AIMS: Transcatheter aortic valve replacement (TAVR) is an established therapy improving outcome in patients with severe aortic stenosis (AS). Cardiovascular magnetic resonance (CMR)-derived left atrioventricular coupling index (LACI) has demonstrated prognostic value, however, its prognostic utility in severe AS remains unknown. METHODS AND RESULTS: Between January 2017 and September 2023 138 consecutive patients with severe AS (80 years (70-83), 62% male) referred for TAVR were prospectively recruited for pre-procedural CMR imaging. LACI was defined as the ratio of the left atrial (LA) end-diastolic volume index (LA EDVi) and left ventricular (LV) end-diastolic volume index (LV EDVi). The primary endpoint was cardiovascular (CV)-mortality. The cohort was dichotomized at a median of 44.1% (high vs. low LACI). Patients with increased LACI (≥44.1%) had higher symptom burden (NYHA III/IV prevalence (68.1% vs. 44.9%; P = 0.047)), more frequently atrial fibrillation (50.7% vs. 14.5%; P < 0.001), and elevated NT-proBNP (2017 ng/L vs. 1012 ng/L; P = 0.007). Over a median follow-up of 2.7 years (IQR 1.7-3.6), high LACI was associated with higher CV mortality (log-rank P = 0.016). In exploratory multivariable Cox regression models, LACI remained associated with CV-mortality after adjustment for established parameters of left atrial or ventricular function (LA reservoir strain: HR 2.19, 95% CI 1.05-4.57, P = 0.036; LV GLS: HR 2.21 95% CI 1.00-4.9, P = 0.049). CONCLUSION: In patients with severe aortic stenosis, CMR-derived LACI was associated with cardiovascular mortality and may serve as a structural marker of advanced atrioventricular remodelling. Given its simplicity and routine availability in standard CMR workflows, LACI may serve as a clinically practical risk marker for baseline stratification.

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。