Clinical Outcomes of Percutaneous Coronary Intervention for Bifurcation Lesions According to Medina Classification

Mohamed O Mohamed1,2, Pablo Lamellas3, Ariel Roguin4

  • 1Keele Cardiovascular Research Group, Centre for Prognosis Research, Institutes of Applied Clinical Science and Primary Care and Health Sciences Keele University Newcastle United Kingdom.

Insights

Coronary bifurcation lesion distribution impacts outcomes after percutaneous coronary intervention. Medina 1.1.1 and 0.0.1 subtypes showed increased risk of target lesion failure at one year.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Vascular Biology

Background:

  • Coronary bifurcation lesions (CBLs) are common and linked to poorer outcomes post-percutaneous coronary intervention (PCI).
  • Limited data exist on how different CBL distributions affect patient prognosis.
  • Understanding these differences is crucial for optimizing PCI strategies.

Purpose of the Study:

  • To investigate the prognostic impact of various coronary bifurcation lesion distributions.
  • To compare 1-year target lesion failure rates across different Medina classification subtypes.
  • To identify specific CBL distributions associated with adverse outcomes after PCI.

Main Methods:

  • Analysis of 4003 CBL PCI procedures from the prospective e-Ultimaster registry.
  • Classification of CBLs using the Medina system.
  • Cox proportional hazards models to assess 1-year target lesion failure (TLF) and its components, comparing Medina subtypes to Medina 1.0.0.

Main Results:

  • Medina 1.1.1 (35.5%) and 1.1.0 (26.8%) were most prevalent; 0.0.1 (3.5%) was least prevalent.
  • Medina 1.1.1 and 0.0.1 subtypes were significantly associated with increased 1-year TLF compared to Medina 1.0.0.
  • Increased TLF in these subtypes was driven by clinically driven target lesion revascularization and cardiac death (for 0.0.1).

Conclusions:

  • Coronary bifurcation lesion distribution significantly influences 1-year outcomes after PCI.
  • Medina 1.1.1 and 0.0.1 subtypes are associated with a higher risk of target lesion failure.
  • These findings highlight the importance of precise lesion characterization for risk stratification and treatment planning.

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