Determinants of Periprocedural Myocardial Infarction in Current Elective Percutaneous Coronary Interventions

Yusuke Mizuno1, Kenichi Sakakura1, Kei Yamamoto1

  • 1Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University.

International Heart Journal
|November 16, 2020
PubMed

Insights

Complex lesion characteristics like longer length, greater angles, and specific Medina classifications are key predictors of periprocedural myocardial infarction (PMI) during elective percutaneous coronary intervention (PCI). Preventing flow limitation in these challenging cases is crucial.

Area of Science:

  • Interventional Cardiology
  • Cardiovascular Research
  • Clinical Outcomes

Background:

  • Periprocedural myocardial infarction (PMI) is linked to adverse long-term cardiovascular events.
  • Understanding the determinants of PMI in elective percutaneous coronary intervention (PCI) is crucial for improving patient outcomes.

Purpose of the Study:

  • To investigate the factors associated with periprocedural myocardial infarction (PMI) in patients undergoing elective percutaneous coronary intervention (PCI).

Main Methods:

  • A retrospective analysis of 731 elective PCI cases, divided into PMI (n=27) and non-PMI (n=704) groups.
  • Univariate and multivariate logistic regression analyses were employed to identify significant predictors of PMI.
  • Key lesion characteristics including length, angle, calcification, and Medina classification were assessed.

Main Results:

  • Multivariate analysis identified lesion length (OR 1.477 per 10mm), lesion angle ≥ 45° (OR 4.244), and Medina classification (0,1,1)/(1,1,1) (OR 14.843) as significant determinants of PMI.
  • Complex lesions, particularly long, angulated, or true bifurcation lesions, were associated with increased risk of PMI.
  • Flow limitation in side branches (TIMI grade ≤ 2) and main branches was observed in a significant proportion of PMI cases with specific lesion types.

Conclusions:

  • Lesion length, lesion angle ≥ 45°, and Medina classification (0,1,1)/(1,1,1) are significant predictors of PMI in elective PCI.
  • Preventing flow limitation in side branches and main vessels during PCI for complex lesions is essential to reduce PMI.
  • These findings highlight the importance of careful lesion assessment and procedural strategy in diffuse, long, angulated, or true bifurcation lesions.

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