Prediction of coronary artery disease in patients undergoing carotid endarterectomy

Toshifumi Shimada1, Kazunori Toyoda, Tooru Inoue

  • 1Department of Cerebrovascular Disease, Cerebrovascular Center and Clinical Research Institute, National Kyushu Medical Center, Fukuoka, Japan.

Journal of Neurosurgery
|November 4, 2005
PubMed

Insights

Peripheral artery disease and diabetes mellitus predict coronary artery disease in patients undergoing carotid endarterectomy. Careful screening for coronary artery disease is crucial, especially in those with multiple risk factors.

Area of Science:

  • Cardiovascular Medicine
  • Vascular Surgery

Background:

  • Coronary artery disease (CAD) is a significant concern in patients undergoing carotid endarterectomy (CEA).
  • Identifying predictors of concomitant CAD is essential for comprehensive patient management.

Purpose of the Study:

  • To determine factors predicting the presence and severity of coronary artery disease (CAD) in patients undergoing carotid endarterectomy (CEA).

Main Methods:

  • Retrospective analysis of 200 Japanese patients undergoing CEA for extracranial carotid artery stenosis.
  • Statistical analysis to identify independent predictors of CAD and severe CAD using odds ratios (OR) and 95% confidence intervals (CI).

Main Results:

  • Peripheral artery disease (PAD) was an independent predictor of CAD (OR 2.61).
  • Diabetes mellitus (DM) (OR 2.8) and PAD (OR 2.83) independently predicted severe CAD.
  • DM was an independent predictor of occult CAD (OR 4.83), with 25% of CAD cases detected pre-CEA being asymptomatic.

Conclusions:

  • Patients with DM, PAD, or multiple coronary risk factors scheduled for CEA require thorough screening for concomitant CAD, particularly severe forms.
  • Even in the absence of angina symptoms, the presence of risk factors necessitates careful evaluation for underlying coronary artery disease.
Abstract

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