Association of the TyG index and inflammatory burden index with AMR-defined coronary microvascular dysfunction and

Yang Yang1, Leilei Liu1, Xiuyu Liang1

  • 1Department of Cardiology, The Third Affiliated Hospital of Anhui Medical University (The First People's Hospital of Hefei), Hefei, Anhui, China.

Insights

Metabolic dysfunction (triglyceride-glucose index) and inflammation (inflammatory burden index) predict coronary microvascular dysfunction and adverse events after myocardial infarction. Combining these markers improves risk prediction beyond conventional factors.

Area of Science:

  • Cardiology
  • Biomarkers
  • Vascular Biology

Background:

  • Metabolic dysfunction and inflammation are implicated in coronary microvascular injury post-STEMI.
  • The triglyceride-glucose (TyG) index and inflammatory burden index (IBI) may jointly impact outcomes.
  • Investigating their role in coronary microvascular dysfunction (CMD) and major adverse cardiovascular events (MACE) is crucial.

Purpose of the Study:

  • To assess the independent and combined associations of TyG index and IBI with CMD.
  • To evaluate the incremental predictive value of TyG index and IBI beyond conventional factors for CMD.
  • To determine the association of TyG index and IBI with 12-month MACE after STEMI.

Main Methods:

  • Retrospective cohort study of 318 STEMI patients undergoing PPCI.
  • Coronary microvascular dysfunction (CMD) defined by angiographic microvascular resistance (AMR).
  • Multivariable models and sequential analysis with bootstrap validation used to assess associations with CMD and MACE.

Main Results:

  • CMD present in 32.1% of patients.
  • TyG index and IBI were independently associated with CMD and 12-month MACE.
  • The combined TyG-IBI model significantly improved prediction of CMD when added to clinical factors (AUC increased from 0.904 to 0.939).
  • Elevated TyG index and IBI identified patients at highest MACE risk.

Conclusions:

  • TyG index and IBI are independent predictors of CMD and MACE after STEMI.
  • Incorporating TyG index and IBI enhances risk stratification models for CMD.
  • Further prospective multicenter validation is needed for clinical application.
Abstract