Risk factors for cerebrovascular events: end-diastolic flow velocity

Mirza Dilic1, Mustafa Hadziomerovic, Emir Fazlibegovic

  • 1Institute of Vascular Diseases, Clinical Center University of Sarajevo. mdilic@bih.net.ba

Medicinski Arhiv
|May 10, 2011
PubMed

Insights

Lower end-diastolic velocity (EDV) in common carotid arteries (CCA) is a significant predictor of cerebrovascular events (CVE). Age, smoking, hypertension, and obesity are also key risk factors for CVE.

Area of Science:

  • Vascular Neurology
  • Medical Imaging
  • Cardiology

Background:

  • Limited research exists on common carotid artery (CCA) blood flow velocity parameters as predictors for cerebrovascular events (CVE).
  • Many patients without carotid stenosis exhibit reduced blood flow velocities, necessitating further investigation.

Purpose of the Study:

  • To compare velocity parameters with cerebrovascular events (CVE) and risk factors in patients lacking significant carotid stenosis or occlusion.
  • To identify predictors of CVE in a patient cohort without extracranial occlusive disease.

Main Methods:

  • A cohort of 127 patients with various CVE subtypes (TIA, recurrent TIA, ischemic stroke, recurrent ischemic stroke) and 50 controls were analyzed.
  • Patients were assessed for clinical variables (age, gender, hypertension, smoking, hyperlipidemia, obesity, diabetes) and hemodynamic parameters (PSV, EDV, PI, RI) of the CCA.
  • Control group comprised patients with comparable demographics and at least one cardiovascular risk factor, free from CVE.

Main Results:

  • End-diastolic velocity (EDV) was significantly lower in patients with CVE compared to controls (p < 0.01).
  • Age, tobacco smoking, hypertension, and obesity were identified as the strongest predictors for CVE.
  • An EDV below 18 cm/sec emerged as the best single hemodynamic predictor for CVE (p < 0.05).

Conclusions:

  • Significantly lower EDV was observed in patients experiencing ischemic stroke (IS) and recurrent ischemic stroke (recIS).
  • EDV below 18 cm/sec proved to be the most effective single predictor for IS and recIS.
  • Clinical factors including age, tobacco smoking, hypertension, and obesity were the primary predictors for cerebrovascular events in this cohort.
Abstract