Relation between resting amygdala activity and cardiovascular events in patients with cardiac sarcoidosis

静息状态下杏仁核活动与心脏结节病患者心血管事件的关系

阅读:1

Abstract

PURPOSE: Previous studies indicate amygdala activity (AmygA) measured by FDG-positron emission tomography (PET) predicts the risk of subsequent cardiovascular events. However, AmygA measurement use for predicting the prognosis of patients with cardiac sarcoidosis (CS) is unknown. We aimed to investigate the association between AmygA and cardiovascular events in patients with CS. METHODS: Consecutive 40 patients with CS who underwent FDG-PET were identified retrospectively. Cardiovascular events included ventricular tachyarrhythmias and heart failure hospitalizations. We examined the association between AmygA and cardiovascular events and investigated the timing of FDG-PET influence on AmygA measurements. RESULTS: During a follow-up of 4.5 (2.5-7.7) years, 14 (35%) patients experienced cardiovascular events. Left-AmygA was a stronger cardiovascular event predictor than the Right-AmygA, and incidences were significantly higher in the high left-AmygA group than low group (log-rank P = 0.018). Multivariable analysis revealed left-AmygA augmentation (hazard ratio [HR]: 1.76 per 0.1 increase, 95% confidence interval [CI]: 1.12-2.87, P = 0.016) was the only independent predictor of cardiovascular event. Among the 40 patients, 32 underwent multiple PET-scans. No significant difference was found between the AmygA value on the first PET-scan and the mean on multiple PET scans, and the correlation coefficient was 0.93 (P < 0.001). Multivariate analyses revealed the mean left-AmygA value was the only independent predictor of cardiovascular event (P = 0.011). CONCLUSIONS: High left-AmygA was associated with the higher rates of cardiovascular events in patients with CS. AmygA would be a prognostic biomarker regardless of the PET-scan timing.

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。