Mechanism and predictors of failed transradial approach for percutaneous coronary interventions

Payam Dehghani1, Atif Mohammad, Ravi Bajaj

  • 1Terrence Donnelly Heart Center, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.

Insights

Transradial approach percutaneous coronary intervention (PCI) has a low failure rate, even with less experienced operators. Advanced age, prior bypass surgery, and short stature predict TR-PCI failure, guiding patient selection.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Vascular Access

Background:

  • Transradial approach (TR) percutaneous coronary intervention (PCI) offers reduced vascular complications compared to transfemoral (TF) approach.
  • However, the specific mechanisms and predictors of TR-PCI procedural failure remain incompletely understood.

Purpose of the Study:

  • To investigate the mechanisms leading to procedural failure in transradial PCI.
  • To identify independent predictors of TR-PCI failure in a large patient cohort.

Main Methods:

  • Prospective collection of baseline characteristics, procedural details, and clinical outcomes for patients undergoing TR-PCI.
  • Utilized univariate and multivariate analyses to identify significant predictors of TR-PCI failure.
  • Study included low-to-intermediate volume operators using traditional TF guide catheters for TR-PCI.

Main Results:

  • Procedural failure occurred in 4.7% of 2,100 TR-PCI cases.
  • Primary failure mechanisms included guide catheter advancement issues (51%) and inadequate support (36%).
  • Independent predictors of failure were age >75 years (OR 3.86), prior coronary artery bypass graft surgery (OR 7.47), and shorter height (OR 0.97).

Conclusions:

  • Transradial PCI is feasible with low failure rates among low-to-intermediate volume operators using standard equipment.
  • Older age (>75), history of coronary artery bypass graft surgery, and short stature are key predictors of TR-PCI failure.
  • Careful patient selection and risk stratification are crucial for optimizing TR-PCI outcomes.
Abstract

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