Percutaneous Coronary Intervention versus Coronary Artery Bypass Grafting for Chronic Total Occlusion of Coronary Arteries: A Systematic Review and Meta-Analysis.

Introduction: Chronic total occlusion (CTO) of coronary arteries constitutes a substantial clinical challenge and has historically been managed through medical management and coronary artery bypass grafting (CABG). However, with the advancement in interventional technology, the success rate of percutaneous treatment has been significantly improved, and percutaneous coronary intervention (PCI) has emerged as a primary mode of treatment for CTOs, demonstrating remarkable clinical efficacy. The objective of this systematic review and meta-analysis is to evaluate and contrast the outcomes of PCI and CABG in patients with CTO. Methods and Results: A systematic search was conducted in the databases of PubMed, Embase, and Web of Science. The primary endpoints evaluated in this meta-analysis were the occurrence of major adverse cardiac events (MACE) and all-cause mortality. Secondary endpoints included myocardial infarction (MI), cardiac death, and the need for repeat revascularization. Nine studies, encompassing a total of 8,674 patients, were found to meet the criteria for inclusion and had a mean follow-up duration of 4.3 years. The results of the meta-analysis revealed that compared to CABG, PCI was associated with a lower incidence of all-cause mortality (RR: 0.78, 95% CI: 0.66-0.92; P = 0.003) and cardiac death (RR: 0.55; 95% CI: 0.31-0.96; P < 0.05), but an increased risk of myocardial infarction (MI) (RR: 1.96; 95%CI: 1.07-3.62; P < 0.05) and repeat revascularization (RR: 7.13; 95% CI: 5.69-8.94; P < 0.00001). There was no statistically significant difference in MACE (RR: 1.11; 95% CI: 0.69-1.81; P = 0.66) between the PCI and CABG groups. Conclusion: In the present meta-analysis comparing PCI and CABG in patients with chronic total occlusion of the coronary arteries, the results indicated that PCI was superior to CABG in reducing all-cause mortality and cardiac death but inferior in decreasing myocardial infarction and repeat revascularization. There was no statistically significant difference in MACE between the two groups.

Interleukin-4 and Interleukin-17 are associated with coronary artery disease.

INTRODUCTION: The present study aimed to examine the correlation between serum cytokine levels and the incidence of coronary artery disease (CAD), a leading cause of mortality globally, which is known to have a strong association with inflammatory factors. The study further sought to determine the predictors of CAD to distinguish patients with coronary artery lesions from those suspected of having CAD. METHODS AND RESULTS: In this study, 487 patients who underwent coronary angiography as a result of suspected CAD but without acute myocardial infarction (AMI) were recruited. The serum levels of the cytokines interleukin (IL)-1ß, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17, tumor necrosis factor-α, interferon (IFN)-α, and IFN-γ were measured using a multiplexed particle-based flow cytometric assay technique. The results of the study revealed that the levels of IL-4, IL-12p70, IL-17, IFN-α, and IFN-γ in the CAD group were significantly lower compared to those in the non-CAD group. Multivariate logistic regression analysis indicated that two serum cytokines (IL-4 and IL-17), one protective factor (high-density lipoprotein cholesterol [HDL-C]), and three risk factors (sex, smoking, and diabetes) were independently predictive of CAD. The receiver operating characteristic curve analysis showed that the combined use of these predictors in a multivariate model demonstrated good predictive performance for CAD, as evidenced by an area under the curve value of 0.826. CONCLUSION: The results of the study indicated that serum IL-4 and IL-17 levels serve as independent predictors of CAD. The risk prediction model established in the research, which integrates these serum cytokines (IL-4 and IL-17) with relevant clinical risk factors (gender, smoking, and diabetes) and the protective factor HDL-C, holds the potential to differentiate patients with CAD from those suspected of having CAD but without AMI.