THE ROLE OF BIOMARKER MACROPHAGE MIGRATION INHIBITORY FACTOR IN CARDIAC REMODELING PREDICTION IN PATIENTS WITH

Iryna R Vyshnevska1, Tatyana Storozhenko1, Mykola P Kopytsya1

  • 1GOVERNMENT INSTITUTION "LT MALAYA THERAPY NATIONAL INSTITUTE OF THE NAMS OF UKRAINE", KHARKIV, UKRAINE.

Wiadomosci Lekarskie (Warsaw, Poland : 1960)
|June 16, 2023
PubMed

Insights

Biomarkers macrophage migration inhibitory factor and soluble ST2 can predict adverse left ventricle remodeling after myocardial infarction. This combination offers a significant prognostic tool for post-heart attack recovery.

Area of Science:

  • Cardiovascular Medicine
  • Biomarker Research
  • Myocardial Infarction Recovery

Background:

  • Left ventricle remodeling is a key predictor of adverse outcomes after ST-segment elevation myocardial infarction (STEMI).
  • Early identification of patients at risk for remodeling is crucial for timely intervention.
  • Macrophage migration inhibitory factor (MIF) and soluble ST2 (sST2) are implicated in cardiac injury and remodeling processes.

Purpose of the Study:

  • To evaluate the predictive value of MIF and sST2 for left ventricle remodeling six months post-STEMI.
  • To develop a predictive model incorporating these biomarkers and left ventricle ejection fraction (LVEF).

Main Methods:

  • A cohort of 134 STEMI patients was studied.
  • No-reflow condition was defined by specific post-percutaneous coronary intervention (PCI) parameters.
  • Left ventricle remodeling was assessed by changes in left ventricle volumes at 6 months.

Main Results:

  • A logistic regression model was developed using MIF, sST2, and LVEF.
  • The model demonstrated high predictive accuracy (AUC=0.864) for adverse left ventricle remodeling.
  • The equation achieved 77% sensitivity and 85% specificity in predicting poor outcomes.

Conclusions:

  • Combined MIF and sST2 levels, along with LVEF, significantly predict adverse left ventricle remodeling after STEMI.
  • This biomarker panel offers a valuable tool for risk stratification in STEMI patients.
  • The findings support the use of these biomarkers in clinical decision-making for post-MI care.
Abstract