Development of an individualized scoring system to predict mid-term survival after carotid endarterectomy

Sara M Morales-Gisbert1, José M Zaragozá García2, Ángel Plaza Martínez2

  • 1Department of Angiology, Vascular and Endovascular Surgery, Hospital Universitario Doctor Peset, Valencia, Spain - Sara_mgisbert@hotmail.com.

Insights

A new scoring system predicts 3-year mortality risk in patients undergoing carotid endarterectomy (CEA). This tool helps surgeons identify high-risk individuals who may benefit from alternative treatments, improving patient outcomes.

Area of Science:

  • Vascular Surgery
  • Cardiovascular Medicine
  • Public Health

Background:

  • Carotid endarterectomy (CEA) is a surgical procedure to prevent stroke.
  • Mid-term mortality and risk factors following CEA require further investigation.
  • Predicting individual mortality risk is crucial for optimizing treatment decisions.

Purpose of the Study:

  • To analyze mid-term mortality in patients who underwent CEA.
  • To identify predictors of 3-year mortality after CEA.
  • To develop a risk score for estimating individual 3-year mortality.

Main Methods:

  • Retrospective single-center study of 453 patients undergoing CEA (1997-2010).
  • Kaplan-Meier analysis for survival and multivariable COX regression for risk factor identification.
  • Development of a risk score based on significant predictors and Hazard Ratios (HR).

Main Results:

  • Overall 3-year survival was 88.4%.
  • Significant mortality predictors included age, diabetes, COPD, ischemic heart disease, and critical carotid stenosis (>90%). Antiplatelet therapy showed a protective effect.
  • The developed score stratified patients into four groups with 3-year mortality ranging from 5.6% to 25.5%.

Conclusions:

  • A novel scoring system effectively predicts 3-year mortality in patients with carotid stenosis undergoing CEA.
  • This tool aids in personalized risk assessment and decision-making for CEA indication.
  • The score helps identify high-risk patients who might benefit more from medical management due to limited life expectancy.
Abstract