ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Cardiovascular Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1473308
This article is part of the Research TopicScreening Remnant Lipid Markers in Cardiometabolic DiseasesView all 10 articles
The Metabolic Syndrome-Insulin Resistance Index: A Tool for Identifying Dyslipidemia across Varied Glucose Metabolic Score in Patients with Cardiovascular Disease
Provisionally accepted
Lu Yu1Yutong Liu1Ruiying Guo1Tong Yang1Guangwei Pan1Yuanyuan He1Shan Gao1
Rongrong Yang1
Zhu Li2*Lin Li1*
Chunquan Yu1*- 1Tianjin University of Traditional Chinese Medicine, Tianjin, China
- 2Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China
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The METS-IR index, a non-insulin-based metabolic score, represents a new marker closely linked to insulin resistance. This study aimed to evaluate the relationship between the METS-IR index and dyslipidemia in individuals diagnosed with Cardiovascular disease (CVD), as well as to delve deeper into how varying glucose metabolic conditions influence this relationship.multicenter retrospective investigation encompassed 214,717 individuals diagnosed with CVD across China, spanning from September 1, 2014, to June 1, 2022, ultimately incorporating 17,632 caes in the conclusive analysis. All cases were grouped according to quartiles of METS-IR. The American College of Cardiology classifies dyslipidemia into four distinct categories: hyper-triglyceridemia (hyper-TG), hyper-cholestero lemia (hyper-TC), hypo-high-density lipoprotein cholesterolemia (hypo-HDL), and hyper-low-density lipoprotein cholesterolemia (hyper-LDL).Dyslipidemia is diagnosed when any one of these conditions is present. Logistic regression analysis was performed to estimate the odds ratio (OR) and 95% confidence interval (CI), assessing the relationship between the METS-IR index and dyslipidemia risk in patients with CVD. To evaluate the precision of the METS-IR index in identifying dyslipidaemia, receiver operating characteristic (ROC) curve was produced.
Keywords: METS-IR, Insulin Resistance, Dyslipidaemia, glucose metabolic states, cardiovascular disease
Received: 30 Jul 2024; Accepted: 15 Apr 2025.
Copyright: © 2025 Yu, Liu, Guo, Yang, Pan, He, Gao, Yang, Li, Li and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Zhu Li, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang Province, China
Lin Li, Tianjin University of Traditional Chinese Medicine, Tianjin, China
Chunquan Yu, Tianjin University of Traditional Chinese Medicine, Tianjin, China
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