Abstract 15419: Adiponectin’s Predictive Role in Long-Term Mortality and Major Adverse Cardiovascular Events in Patients With Stable Coronary Artery Disease: A Meta-Analysis of Prospective Studies

Abstract

INTRODUCTION: The relentless toll of cardiovascular disease in the United States demands a breakthrough in reliable and cost-effective prognostic markers. Amidst the limited knowledge surrounding the role of adiponectin in stable coronary artery disease (CAD), this study aims to unveil its power in predicting all-cause mortality and major adverse cardiovascular events (MACE) among patients with stable coronary artery disease (CAD). METHODS: We systematically screened PubMed, Scopus, and Google Scholar for articles until May 2023 to identify relevant studies. Random-effects model estimated the pooled odds ratio (OR) with 95% confidence intervals (CI), and I2 statistics assessed heterogeneity. The leave-one-out method was used for sensitivity analysis. RESULTS: Following the screening, five prospective studies involving 3225 patients with a median follow-up duration of 3.8 years were included. In the study population, hypertension, diabetes, hyperlipidemia, and smoking were prevalent risk factors, and common medications included angiotensin-converting enzyme inhibitors, beta-blockers, and statins. The pooled adjusted OR for all-cause mortality was 2.51 (95%CI: 1.36-4.62), with moderate heterogeneity (I2=65.51%, p=0.03), and the pooled adjusted OR for MACE was 1.04 (95%CI: 1.02-1.06), with no significant heterogeneity (I2=0%, p=0.68) (Fig. 1) . The leave-one-out sensitivity analysis showed that no single study significantly influenced the meta-analysis results, indicating robustness. CONCLUSION: Higher adiponectin levels were associated with higher odds of long-term mortality and MACE in stable CAD patients, highlighting its potential as a cost-effective marker for risk stratification and guiding management strategies. Further studies exploring the role of adiponectin can significantly impact clinical decision-making and resource allocation in cardiovascular care.