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Non-insulin-based insulin resistance indexes in predicting severity for coronary artery disease

BACKGROUND: Triglyceride and glucose (TyG) index, triglyceride glucose-body mass (TyG-BMI) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, and metabolic score for insulin resistance (METS-IR) are considered simple and reliable indicators of insulin resistance (IR). Alth...

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Autores principales: Zhang, Yu, Wang, Ruiling, Fu, Xuelian, Song, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759860/
https://www.ncbi.nlm.nih.gov/pubmed/36528713
http://dx.doi.org/10.1186/s13098-022-00967-x
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author Zhang, Yu
Wang, Ruiling
Fu, Xuelian
Song, Haiyan
author_facet Zhang, Yu
Wang, Ruiling
Fu, Xuelian
Song, Haiyan
author_sort Zhang, Yu
collection PubMed
description BACKGROUND: Triglyceride and glucose (TyG) index, triglyceride glucose-body mass (TyG-BMI) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, and metabolic score for insulin resistance (METS-IR) are considered simple and reliable indicators of insulin resistance (IR). Although they have been associated with coronary artery disease (CAD), evidence supporting this is limited. Here, this is the first study to demonstrate the relationship between TyG-BMI index and CAD severity. The performance of the four non-insulin-based IR indexes in predicting CAD severity was explored. METHODS: We retrospectively analyzed 485 CAD patients between August 2020 and August 2021 in China, who were assigned into single- and multi-vessel CAD groups according to the coronary angiography (CAG) results. All patients were stratified into groups based on the tertiles of the TyG index, TyG-BMI index, TG/HDL-C ratio, and METS-IR. RESULTS: Patients in the multi-vessel CAD group had significantly higher TyG index, TyG-BMI index, TG/HDL-C ratio and METS-IR than those in the single-vessel CAD group. After adjusting for confounding factors, these four indicators were significantly associated with the risk of multi-vessel CAD. Notably, the highest tertile of TyG index, TyG-BMI index, TG/HDL-C ratio and METS-IR were significantly associated with the risk of multi-vessel CAD compared to participants in the lowest tertile. We also constructed receiver operating characteristic (ROC) curve, to assess CAD severity. The area under the curve (AUC) of the ROC plots was 0.673 (95% CI 0.620–0.726; P < 0.001) for TyG index, while those for the TyG-BMI index, TG/HDL-C ratio, and METS-IR were 0.704 (95% CI 0.652–0.755; P < 0.001), 0.652 (95% CI 0.597–0.708; P < 0.001), and 0.726 (95% CI 0.677–0.775; P < 0.001), respectively. CONCLUSIONS: TyG-BMI index is not only significantly associated with CAD severity, but is also an independent risk factor for multi-vessel CAD. The TyG index, TyG-BMI index, TG/HDL-C ratio, and METS-IR could be valuable predictors of CAD severity. Among the four non-insulin-based IR indexes, METS-IR had the highest predictive value, followed by TyG-BMI index.
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spelling pubmed-97598602022-12-19 Non-insulin-based insulin resistance indexes in predicting severity for coronary artery disease Zhang, Yu Wang, Ruiling Fu, Xuelian Song, Haiyan Diabetol Metab Syndr Research BACKGROUND: Triglyceride and glucose (TyG) index, triglyceride glucose-body mass (TyG-BMI) index, triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, and metabolic score for insulin resistance (METS-IR) are considered simple and reliable indicators of insulin resistance (IR). Although they have been associated with coronary artery disease (CAD), evidence supporting this is limited. Here, this is the first study to demonstrate the relationship between TyG-BMI index and CAD severity. The performance of the four non-insulin-based IR indexes in predicting CAD severity was explored. METHODS: We retrospectively analyzed 485 CAD patients between August 2020 and August 2021 in China, who were assigned into single- and multi-vessel CAD groups according to the coronary angiography (CAG) results. All patients were stratified into groups based on the tertiles of the TyG index, TyG-BMI index, TG/HDL-C ratio, and METS-IR. RESULTS: Patients in the multi-vessel CAD group had significantly higher TyG index, TyG-BMI index, TG/HDL-C ratio and METS-IR than those in the single-vessel CAD group. After adjusting for confounding factors, these four indicators were significantly associated with the risk of multi-vessel CAD. Notably, the highest tertile of TyG index, TyG-BMI index, TG/HDL-C ratio and METS-IR were significantly associated with the risk of multi-vessel CAD compared to participants in the lowest tertile. We also constructed receiver operating characteristic (ROC) curve, to assess CAD severity. The area under the curve (AUC) of the ROC plots was 0.673 (95% CI 0.620–0.726; P < 0.001) for TyG index, while those for the TyG-BMI index, TG/HDL-C ratio, and METS-IR were 0.704 (95% CI 0.652–0.755; P < 0.001), 0.652 (95% CI 0.597–0.708; P < 0.001), and 0.726 (95% CI 0.677–0.775; P < 0.001), respectively. CONCLUSIONS: TyG-BMI index is not only significantly associated with CAD severity, but is also an independent risk factor for multi-vessel CAD. The TyG index, TyG-BMI index, TG/HDL-C ratio, and METS-IR could be valuable predictors of CAD severity. Among the four non-insulin-based IR indexes, METS-IR had the highest predictive value, followed by TyG-BMI index. BioMed Central 2022-12-17 /pmc/articles/PMC9759860/ /pubmed/36528713 http://dx.doi.org/10.1186/s13098-022-00967-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Yu
Wang, Ruiling
Fu, Xuelian
Song, Haiyan
Non-insulin-based insulin resistance indexes in predicting severity for coronary artery disease
title Non-insulin-based insulin resistance indexes in predicting severity for coronary artery disease
title_full Non-insulin-based insulin resistance indexes in predicting severity for coronary artery disease
title_fullStr Non-insulin-based insulin resistance indexes in predicting severity for coronary artery disease
title_full_unstemmed Non-insulin-based insulin resistance indexes in predicting severity for coronary artery disease
title_short Non-insulin-based insulin resistance indexes in predicting severity for coronary artery disease
title_sort non-insulin-based insulin resistance indexes in predicting severity for coronary artery disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759860/
https://www.ncbi.nlm.nih.gov/pubmed/36528713
http://dx.doi.org/10.1186/s13098-022-00967-x
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