Comparison of adverse cardiovascular event endpoints between patients with diabetes and patients without diabetes based on coronary artery plaques: a systematic review and meta-analysis
- PMID: 39707525
- PMCID: PMC11660669
- DOI: 10.1186/s13019-024-03157-0
Comparison of adverse cardiovascular event endpoints between patients with diabetes and patients without diabetes based on coronary artery plaques: a systematic review and meta-analysis
Abstract
Background: The classification of major adverse cardiovascular event (MACE) endpoints in patients with type 2 diabetes mellitus (T2DM) and either confirmed coronary artery disease (CAD) or high CAD risk, as well as the extent of the association between T2DM and coronary plaque characteristics, remains uncertain.
Purpose: This meta-analysis aims to compare MACE endpoints between patients with diabetes and patients without diabetes based on coronary artery plaques.
Methods: We searched studies from Web of Science, PubMed, Embase, and the Cochrane Library up until September 1, 2023. Two independent researchers evaluated the quality and bias of the included studies. We used odds ratio (OR) and standardized mean difference (SMD) with 95% confidence interval (CI) to assess the effect of individual lesion parameters and coronary artery plaque characteristics on MACE endpoints.
Results: Seven studies covered 1218 patients with diabetes and 3038 patients without diabetes. The follow-up time ranged from 2 to 5.4 years. The pooled results indicated that in all CAD lesions, DM was more strongly associated with MACE, myocardial infarction (MI), revascularization, and rehospitalization for unstable or progressive angina. The pooled OR was 1.82 (95% CI: 1.42 to 2.33, I2 = 0%, P < 0.00001) for MACE, 2.36 (95% CI: 1.47 to 3.79, I2 = 0%, P = 0.0004) for MI, 1.83 (95% CI: 1.33 to 2.53, I2 = 0%, P = 0.0002) for revascularization, and 1.65 (95% CI: 1.20 to 2.27, I2 = 0%, P = 0.002) for rehospitalization respectively. Subgroup analysis of culprit lesions (CLs) revealed significant differences between DM and non-DM for MACE, MI, revascularization, and stent thrombosis. While non-culprit lesions (NCLs) showed differences for MACE, MI, revascularization, and rehospitalization between the two groups.
Conclusion: The rates of MACE, MI, and revascularization are greater in DM than in non-DM patients in terms of all lesions, CLs, and NCLs. Except for CLs, the readmission rate is greater for unstable or progressive angina. Plaque characteristics are similar between patients with and without diabetes. Prospero registration number CRD42023474226.
Keywords: Coronary artery disease; Coronary plaque characteristics; Diabetes; Major adverse cardiovascular events.
© 2024. The Author(s).
Conflict of interest statement
Declarations. Ethics approval and consent to participate: Not applicable. This is an retrospective study. The Nantong University Research Ethics Committee has confirmed that no ethical approval is required. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
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- Wang ZP, Yin HJ, Jing W, et al. Application of CT coronary flow reserve fraction based on deep learning in coronary artery diagnosis of coronary heart disease complicated with diabetes mellitus. Neural Comput Appl. 2022;34(9):6763–72. 10.1007/s00521-021-06070-y. - DOI
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- No. 202310304129Y/the Jiangsu Students' Platform for Innovation and Entrepreneurship Training Program
- No. 202310304221E/the Jiangsu Students' Platform for Innovation and Entrepreneurship Training Program
- MS2023050/the Science and Technology Project of Nantong City
- No. KYCX22_3363/the Postgraduate Research & Practice Innovation Program of Jiangsu Province
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