A validated risk score to predict outcomes after carotid stenting

Matthias Hoke1, Elmir Ljubuncic, Clemens Steinwender

  • 1Department of Internal Medicine II, Division of Angiology, Medical University of Vienna, Austria.

Insights

A new risk score accurately predicts long-term mortality after carotid artery stenting, outperforming individual risk factors. This tool aids in assessing patient outcomes and guiding treatment decisions for improved survival.

Area of Science:

  • Cardiovascular Medicine
  • Interventional Cardiology
  • Clinical Risk Stratification

Background:

  • Periprocedural outcomes after carotid artery stenting are well-studied.
  • Long-term mortality risk factors following carotid artery stenting require comprehensive assessment.
  • Need for a validated clinical risk score for long-term mortality post-stenting.

Purpose of the Study:

  • To establish and validate a clinical risk score for predicting long-term mortality in patients who have undergone carotid artery stenting.

Main Methods:

  • Prospective investigation of two independent cohorts (602 and 552 patients) after successful carotid artery stenting.
  • Utilized multivariable Cox regression and bootstrap variable selection to identify robust risk factors.
  • Developed and validated a weighted multimarker risk score and a simplified risk score.

Main Results:

  • Identified key risk factors: age, heart failure, diabetes mellitus, low lymphocyte count, prolonged prothrombin time, peripheral artery disease, and contralateral carotid occlusion.
  • The multimarker risk score demonstrated strong predictive accuracy (AUC 0.79 in derivation, 0.69 in validation).
  • A simplified score effectively stratified patients into distinct risk categories for all-cause mortality.

Conclusions:

  • A novel multimarker risk score significantly improves the prediction of long-term mortality after carotid artery stenting.
  • This score offers superior prognostic value compared to individual risk factors.
  • The developed risk score is a valuable tool for clinical decision-making and patient management.
Abstract