Literature DB >> 30384773

Association Between Insulin Resistance and Coronary Plaque Vulnerability in Patients With Acute Coronary Syndromes: Insights From Optical Coherence Tomography.

Sijing Wu1, Wei Liu1, Qian Ma1, Wei Yu2, Yonghe Guo1, Yingxin Zhao1, Dongmei Shi1, Yuyang Liu1, Zhiming Zhou1, Jianlong Wang1, Ruifang Liu1, Yujie Zhou1.   

Abstract

We investigated the correlation between insulin resistance (IR) and optical coherence tomography and identified culprit plaque characteristics in patients with acute coronary syndrome (ACS). Patients with ACS who underwent selective coronary intervention were prospectively enrolled. A total of 159 culprit lesions were identified in 145 patients. Culprit plaque characteristics, including thin-cap fibroatheroma (TCFA) and spotty calcification, were analyzed. The IR was assessed using the homeostasis model assessment of IR (HOMA-IR). Patients were divided into 4 interquartile ranges (IQRs) according to HOMA-IR values. The prevalence rates of TCFA were significantly different among the 4 groups (17.5% [IQR1 group] vs 17.9% [IQR2 group] vs 35.0% [IQR3 group] vs 55.0% [IQR4 group]; P = .001). Minimal fibrous cap thickness was inversely correlated with HOMA-IR level (141.35 [56.28] µm vs 142.82 [82.17] µm vs 102.14 [36.52] µm vs 96.00 [41.82] µm; P < .001). Spotty calcification prevalence was also significantly different among the 4 groups (5.9% vs 17.6% vs 32.4% vs 44.1%; P < .001). Compared with the bottom quartile, patients with elevated HOMA-IR values had higher prevalence of macrophage infiltration ( P < .001) and microvessels ( P = .023). On multivariate analysis, Ln HOMA-IR (odds ratio: 6.022; 95% confidence interval: 3.007-12.060; P < .001) was the independent predictor for spotty calcification. The current study showed increased IR was independently associated with plaque vulnerability, spotty calcification in particular, in ACS.

Entities:  

Keywords:  acute coronary syndrome; insulin resistance; optical coherence tomography; spotty calcification

Mesh:

Substances:

Year:  2018        PMID: 30384773     DOI: 10.1177/0003319718809931

Source DB:  PubMed          Journal:  Angiology        ISSN: 0003-3197            Impact factor:   3.619


  6 in total

1.  Triglyceride-glucose index is associated with the risk of myocardial infarction: an 11-year prospective study in the Kailuan cohort.

Authors:  Xue Tian; Yingting Zuo; Shuohua Chen; Qian Liu; Boni Tao; Shouling Wu; Anxin Wang
Journal:  Cardiovasc Diabetol       Date:  2021-01-12       Impact factor: 9.951

2.  Triglyceride and Glucose Index and Sex Differences in Relation to Major Adverse Cardiovascular Events in Hypertensive Patients Without Diabetes.

Authors:  Kun Yang; Wenxian Liu
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-05       Impact factor: 5.555

3.  Association between the triglyceride-glucose index and severity of coronary artery disease.

Authors:  Xiang Wang; Wei Xu; Qirui Song; Zinan Zhao; Xuyang Meng; Chenxi Xia; Yibo Xie; Chenguang Yang; Pengfei Jin; Fang Wang
Journal:  Cardiovasc Diabetol       Date:  2022-09-01       Impact factor: 8.949

4.  Impact of Visit-to-Visit Triglyceride-Glucose Index Variability on the Risk of Cardiovascular Disease in the Elderly.

Authors:  Fei Chen; Ying Pan; Ziqing Liu; Rong Huang; Jing Wang; Jian Shao; Yaqin Gong; Xiyi Sun; Xiaobo Jiang; Weihao Wang; Zhaoqiang Li; Shao Zhong; Qi Pan; Kaixin Zhou
Journal:  Int J Endocrinol       Date:  2022-09-16       Impact factor: 2.803

Review 5.  Phenotyping the Prediabetic Population-A Closer Look at Intermediate Glucose Status and Cardiovascular Disease.

Authors:  Elena Barbu; Mihaela-Roxana Popescu; Andreea-Catarina Popescu; Serban-Mihai Balanescu
Journal:  Int J Mol Sci       Date:  2021-06-25       Impact factor: 5.923

6.  Triglyceride glucose index combined with plaque characteristics as a novel biomarker for cardiovascular outcomes after percutaneous coronary intervention in ST-elevated myocardial infarction patients: an intravascular optical coherence tomography study.

Authors:  Xiaoxiao Zhao; Ying Wang; Runzhen Chen; Jiannan Li; Jinying Zhou; Chen Liu; Peng Zhou; Zhaoxue Sheng; Yi Chen; Li Song; Hanjun Zhao; Hongbing Yan
Journal:  Cardiovasc Diabetol       Date:  2021-06-28       Impact factor: 9.951

  6 in total

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