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A Murine Model of Stent Implantation in the Carotid Artery for the Study of Restenosis
04:30

A Murine Model of Stent Implantation in the Carotid Artery for the Study of Restenosis

Published on: May 14, 2013

Predictive factors of complications after coronary stent implantation

Alexandre Schaan de Quadros1, Carlos A M Gottschall, Rogério Sarmento-Leite

  • 1Instituto de Cardiologia do Rio Grande do Sul, Fundação Universitária de Cardiologia. pesquisa@cardnet.tche.br

Arquivos Brasileiros De Cardiologia
|June 7, 2003
PubMed

Insights

Predictive factors for complications after coronary stent implantation include stent design, lesion complexity, and thrombus presence. Angiographic variables and techniques significantly influence procedural outcomes and patient safety.

Area of Science:

  • Cardiovascular Medicine
  • Interventional Cardiology
  • Medical Device Technology

Background:

  • Coronary stent implantation is a common procedure for treating coronary artery disease.
  • Understanding factors predicting complications is crucial for improving patient outcomes.
  • Previous studies have identified various risk factors, but the influence of stent design requires further investigation.

Purpose of the Study:

  • To identify independent predictive factors for major cardiovascular complications following coronary stent implantation.
  • To analyze the impact of clinical and angiographic characteristics on in-hospital complications.
  • To assess the role of stent design in procedural success and complication rates.

Main Methods:

  • A consecutive cohort study involving 1018 patients undergoing 1070 stent implantations.
  • Analysis of clinical and angiographic data, including lesion complexity and thrombus presence.
  • Statistical analysis using a stepwise backwards multiple logistic regression model to determine independent predictors of complications.

Main Results:

  • The overall incidence of major cardiovascular complications was 7.9%.
  • Independent predictors of complications included rescue stent use (OR=5.1), filamentary stent design (OR=4.5), first-generation tubular stent (OR=2.4), multiple stents (OR=3), lesion complexity (OR=2.4), and thrombus (OR=2).
  • High rates of angiographic (96.8%) and clinical (91%) success were achieved.

Conclusions:

  • Angiographic variables and procedural techniques are critical determinants of complication risk.
  • Stent design, including type and number, significantly influences the outcome of coronary stent implantation.
  • These findings underscore the importance of careful patient selection and procedural planning to minimize complications.
Abstract

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