2nd Edition of International Obesity and Metabolism Conference 2026

Speakers - IOMC2026

Xiang Zhu, 2nd Edition of the International Obesity and Metabolism Conference, Singapore

Xiang Zhu

Xiang Zhu

  • Designation: Jiangxi Medical College, Nanchang University
  • Country: China
  • Title: Non-Traditional Lipid Indices and Myocardial Injury in Post-PCI MACE Risk: A Novel AIP-hscTn Composite Index from a Four-Year Multi-Center Cohort Study in China

Abstract

Objectives
This study aimed to investigate the independent and joint effects of non-traditional lipid indices and high-sensitivity cardiac troponin (hscTn) on major adverse cardiovascular event (MACE) risk in post-PCI patients.
 
Methods
This retrospective cohort study enrolled 3,944 eligible patients aged ≥18 years who underwent PCI in three large medical institutions in Jiangxi Province, China. The primary endpoint was the occurrence of MACE during follow-up. We constructed a series of composite lipid-myocardial injury indices by integrating each non-traditional lipid parameter with hscTn. Cox proportional hazards models and restricted cubic spline (RCS) regression were performed to evaluate the associations between these biomarkers and MACE risk. Mediation analysis was further conducted to disentangle the interrelationships among non-traditional lipid parameters, hscTn, and MACE occurrence.
 
Results
Over a median 4-year (IQR:3-5) follow-up, 1,008 participants developed MACE. For most non-traditional lipid parameters, the incidence of MACE increased significantly in the second quartile (Q2). In the fully adjusted model, participants with non-traditional lipid parameters in Q2 had the highest MACE risk, and consistent trends were observed for the composite lipid-myocardial injury indices, especially for AIP-hscTn (HR=1.318, 95%CI: 1.104–1.575). Compared with individual lipid parameters, the composite lipid-myocardial injury indices exhibited superior predictive performance for MACE, and these findings remained robust in a series of subgroup and sensitivity analyses. Mediation analysis identified a significant mediating effect between non-traditional lipid parameters, hscTn, and MACE risk.
 
Conclusion
Non-traditional lipid parameters (especially AIP) are independently associated with elevated MACE risk in post-PCI patients, and our newly developed AIP-hscTn composite index, integrating AIP with myocardial injury biomarker hscTn, exhibits significantly superior predictive performance for post-PCI MACE.