Association between the triglyceride-glucose index and severe left main and/or three-vessel disease in patients with non-ST-segment elevation myocardial infarction: a dual-centre retrospective study

甘油三酯-葡萄糖指数与非ST段抬高型心肌梗死患者严重左主干和/或三支血管病变的相关性:一项双中心回顾性研究

阅读:1

Abstract

OBJECTIVE: This study aimed to investigate the relationship between the triglyceride-glucose (TyG) index and the presence of severe left main and/or three-vessel disease (LM/3VD) evaluated by SYNTAX score. DESIGN: Cross-sectional study. SETTING: Shenzhen Nanshan People's Hospital and The First Affiliated Hospital of Jinan University. PARTICIPANTS: 596 patients were first diagnosed with non-ST-segment elevation myocardial infarction (NSTEMI). PRIMARY OUTCOME MEASURES: Incidence of severe LM/3VD and the relations between the TyG index and the severe LM/3VD evaluated by SYNTAX score. RESULTS: After fully adjusting for confounders, the TyG index was a significant independent predictor for severe coronary artery disease (CAD) (OR 1.744; 95% CI 1.166 to 2.609; p 0.007). The TyG and severe CAD were found to be linearly correlated using the restricted cubic splines (p for non-linearity=0.161). The TyG demonstrated a consistent association with severe CAD across different subgroups, such as individuals with and without diabetes, hypertension, hyperlipidaemia and different haemoglobin (<6.5 or ≥6.5). No statistically significant interaction was detected within the subgroup (p > 0.05). In comparison to risk factors based solely on age or ST-elevation in lead Augmented Unipolar Right-arm (aVR), the area under the curve value for the prediction of severe CAD was modestly improved to 0.759 by the addition of the TyG. CONCLUSION: Patients with NSTEMI demonstrated that a positive relationship was found between a higher level of TyG and an increased level of coronary anatomical complexity (LM/3VD with SYNTAX score >22). The TyG could serve as a non-invasive marker for predicting severe CAD and have implications for guiding treatment strategies in patients with NSTEMI.

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。