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. 2023 Jun 29;22:161. doi: 10.1186/s12933-023-01898-1

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© The Author(s) 2023

Open Access This 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/. The Creative Commons Public Domain Dedication waiver (http://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.

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Fig. 4 — The receiver operating characteristic curves of the IR indices as a marker to predict MACCEs. (A) Basic risk model vs. + the IR indices in the elderly patients. Basic risk model includes age, heart failure, previous AMI, creatinine, uric acid, ACEI, number of diseased vessels, LAD, RCA, CTO, and length of stents; (B) Basic risk model vs. + the IR indices in the female patients. Basic risk model includes age, previous AMI, creatinine, uric acid, ACEI, number of diseased vessels, RCA, CTO, and length of stents. ACEI, angiotensin converting enzyme inhibitor; AMI, acute myocardial infraction; CI, confidence interval; CTO, chronic total occlusions; IR, insulin resistance; LAD, left anterior descending; MACCEs, major adverse cardiac and cerebrovascular events; METS-IR, metabolic score for insulin resistance; RCA, right coronary artery