Defining the high-risk patient for carotid endarterectomy: an analysis of the prospective National Surgical Quality

Michael C Stoner1, William M Abbott, Daniel R Wong

  • 1Division of Vascular and Endovascular Surgery, Masschusetts General Hospital, Boston, MA, USA. stonerm@ecu.edu

Journal of Vascular Surgery
|February 16, 2006
PubMed

Insights

Carotid endarterectomy (CEA) outcomes were analyzed in a large database, identifying risk factors for adverse events. Regional anesthesia significantly reduced complications in high-risk patients undergoing CEA.

Area of Science:

  • Vascular Surgery
  • Neurosurgery
  • Anesthesiology

Background:

  • Carotid endarterectomy (CEA) is a standard treatment for carotid stenosis.
  • Identifying high-risk patients for CEA remains challenging, often relying on retrospective data.
  • This study analyzed CEA outcomes using a comprehensive national surgical quality database.

Purpose of the Study:

  • To identify risk factors associated with adverse outcomes following CEA.
  • To evaluate the impact of regional anesthesia on CEA outcomes.
  • To define high-risk patient populations for CEA.

Main Methods:

  • Prospective data collection from 2000-2003 across 123 VA and 14 private sector centers.
  • Analysis of 13,622 primary isolated CEAs.
  • Multivariate models assessed clinical, demographic, and operative variables for stroke, death, or cardiac events.

Main Results:

  • The composite stroke, death, or cardiac event rate was 4.0%.
  • Key risk factors included age, diabetes, smoking history, prior stroke/TIA, renal dysfunction, hypoalbuminemia, and operative time.
  • Regional anesthesia was associated with a 31% reduction in the composite outcome (OR, 0.69; P = .008).

Conclusions:

  • CEA outcomes in VA and private sector hospitals are comparable to contemporary studies.
  • Identified risk factors can aid in selecting high-risk patients for CEA.
  • Regional anesthesia is a favorable anesthetic choice for high-risk CEA patients, reducing perioperative complications.
Abstract