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Risk score for peri-interventional complications of carotid artery stenting

Robert Hofmann1, Alexander Niessner, Alexander Kypta

  • 1Cardiovascular Division, City Hospital Linz, Austria, A-4020 Linz, Krankenhausstr. 9. robert.hofmann@akh.linz.at

Stroke
|September 23, 2006
PubMed

Insights

A new risk score identifies patients at high risk for complications after carotid artery stenting (CAS). The score uses accessible factors like diabetes and age to predict stroke and death within 30 days.

Area of Science:

  • Vascular Surgery
  • Cardiology
  • Neurology

Background:

  • Independent risk factors for peri-interventional outcomes in carotid artery stenting (CAS) are not routinely available.
  • A need exists for a reliable risk assessment tool to identify high-risk patients undergoing elective CAS.

Purpose of the Study:

  • To develop and validate a risk score for predicting peri-interventional complications in patients undergoing elective CAS.
  • To identify key independent risk factors for adverse outcomes within 30 days post-CAS.

Main Methods:

  • Prospective enrollment of 606 consecutive patients undergoing elective CAS.
  • Collection of biochemical, clinical, and lesion-related risk factors.
  • Primary endpoint: periprocedural complications including stroke, myocardial infarction, and all-cause mortality within 30 days.

Main Results:

  • Diabetes with poor glycemic control (HbA1c > 7%), age ≥ 80 years, carotid artery stenosis ulceration, and contralateral stenosis ≥ 50% were identified as independent risk factors.
  • The developed risk score demonstrated a superior predictive value (C-statistic = 0.73) compared to individual factors.
  • Patients with two or more risk factors had an 11% risk of periprocedural complications, versus 2% for those with zero or one factor.

Conclusions:

  • A risk score utilizing routinely accessible variables effectively identifies high-risk patients for atherothrombotic events and mortality after elective CAS.
  • This tool aids in stratifying patients and potentially optimizing peri-interventional management.
Abstract