Integration of Hematologic and Metabolic Biomarkers for Outcome Prediction in Acute Coronary Syndromes Without ST

Emir Becirovic1,2, Minela Becirovic1,3, Kenana Ljuca4

  • 1Internal Medicine Clinic, University Clinical Centre Tuzla, Tuzla, BIH.

Cureus
|July 21, 2025
PubMed

Insights

Early changes in inflammatory markers like SIRI and metabolic markers like TyG-BMI can predict adverse outcomes in Non-ST-elevation myocardial infarction (NSTEMI) patients. Monitoring these dynamics aids in early risk stratification.

Area of Science:

  • Cardiology
  • Internal Medicine
  • Biomarkers

Background:

  • Non-ST-elevation myocardial infarction (NSTEMI) is a common acute coronary syndrome with high early adverse event risk.
  • Inflammatory and metabolic disturbances are key contributors to NSTEMI.
  • Hematologic indices (NLR, PLR, LMR, SII, SIRI, PIV) and TyG-BMI are potential prognostic markers, but their early dynamics are understudied.

Purpose of the Study:

  • To investigate the dynamic changes of hematologic and metabolic indices within 24 hours of admission in NSTEMI patients.
  • To evaluate the prognostic value of these early changes for predicting major adverse cardiovascular events (MACE) within three months.

Main Methods:

  • Prospective study of 170 NSTEMI patients.
  • Calculation of hematologic and metabolic indices at admission and 24 hours later.
  • Three-month follow-up for MACE (cardiovascular death, reinfarction, urgent revascularization).

Main Results:

  • Significant 24-hour reductions observed in NLR, PLR, SII, SIRI, and PIV (p < 0.01), contrasting with a >2-fold increase in CRP (p < 0.001).
  • Patients with MACE exhibited persistently elevated inflammatory indices and smaller declines in PIV and SIRI.
  • Change in SIRI (ΔSIRI) showed the strongest predictive value (AUC = 0.63), followed by SII and TyG-BMI. Reduced PIV resolution and elevated TyG-BMI were linked to adverse outcomes.

Conclusions:

  • Early changes in systemic inflammation (SIRI) and metabolic stress (TyG-BMI) provide valuable prognostic information in NSTEMI.
  • Dynamic monitoring of these indices can enhance early risk stratification for NSTEMI patients.
  • Findings highlight the importance of assessing inflammatory and metabolic shifts in the acute phase of NSTEMI.

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