Effect of Hemodynamics on Stroke Risk in Symptomatic Atherosclerotic Vertebrobasilar Occlusive Disease

Sepideh Amin-Hanjani1, Dilip K Pandey2, Linda Rose-Finnell1

  • 1Department of Neurosurgery, University of Illinois at Chicago.

JAMA Neurology
|January 1, 2016
PubMed

Insights

Patients with low blood flow in the vertebrobasilar (VB) arteries due to atherosclerotic disease face a higher risk of stroke. Quantitative magnetic resonance angiography (QMRA) can identify these high-risk individuals for targeted therapies.

Area of Science:

  • Neurology
  • Vascular Medicine
  • Medical Imaging

Background:

  • Atherosclerotic vertebrobasilar (VB) occlusive disease is a major cause of posterior circulation stroke.
  • Regional hypoperfusion is a key factor contributing to stroke risk in these patients.

Purpose of the Study:

  • To determine if reduced distal blood flow, measured by quantitative magnetic resonance angiography (QMRA), increases stroke risk in patients with symptomatic VB stenosis or occlusion.
  • To test the hypothesis linking distal flow compromise to subsequent posterior circulation stroke.

Main Methods:

  • A prospective, blinded, longitudinal cohort study involving 82 patients with symptomatic VB stenosis or occlusion.
  • Quantitative magnetic resonance angiography (QMRA) was used to measure large-vessel flow in the VB territory.
  • Patients were followed for 12-24 months for the primary outcome of VB-territory stroke.

Main Results:

  • Low distal flow, identified in 25% of patients, was significantly associated with an increased risk of subsequent VB stroke (P=.04).
  • The hazard ratio for stroke in the low-flow group was 11.55 (P=.008), with lower event-free survival rates compared to the normal-flow group.
  • Distal flow status remained a significant predictor of stroke risk, independent of stenosis degree and location.

Conclusions:

  • Noninvasive QMRA assessment of distal flow status is a robust predictor of stroke risk in symptomatic atherosclerotic VB occlusive disease.
  • Identifying high-risk patients through flow status has significant implications for developing more aggressive treatment strategies.
Abstract

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