Predictors of Stroke Events in Patients with Transient Ischemic Attack Attributable to Intracranial Stenotic Lesions

Toshiyuki Uehara1, Tomoyuki Ohara1, Kazuo Minematsu1

  • 1Departments of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Japan.

Insights

Patients experiencing transient ischemic attack (TIA) due to intracranial artery blockages face a high risk of subsequent ischemic stroke. Key predictors include positive diffusion-weighted imaging (DWI) scans, a history of stroke, and elevated alkaline phosphatase (ALP) levels.

Area of Science:

  • Neurology
  • Cardiovascular Medicine
  • Radiology

Background:

  • Transient ischemic attack (TIA) is a critical warning sign for future ischemic stroke.
  • Intracranial arterial occlusive lesions are a significant cause of TIA and stroke.
  • Identifying predictors of recurrent stroke after TIA is crucial for timely intervention.

Purpose of the Study:

  • To identify predictors of subsequent ischemic stroke events in patients with TIA.
  • To investigate the association between TIA, intracranial arterial occlusive lesions, and recurrent stroke risk.

Main Methods:

  • Retrospective analysis of 82 patients with TIA due to intracranial arterial occlusive lesions.
  • Patients admitted within 48 hours of TIA onset between April 2008 and November 2015.
  • Cox proportional hazards multivariate analyses to determine independent predictors of ischemic stroke within 90 days.

Main Results:

  • The 90-day risk of ischemic stroke after TIA was 14.6%.
  • Diffusion-weighted imaging (DWI) positivity (HR, 8.73), prior ischemic stroke (HR, 4.03), and high serum alkaline phosphatase (ALP) levels (HR, 1.15 per +10 U/L) were significant predictors.
  • These factors independently predicted ischemic stroke within 90 days of TIA onset.

Conclusions:

  • Patients with TIA from intracranial artery disease and DWI lesions, prior stroke, or high admission ALP levels are at high risk for subsequent ischemic stroke.
  • These findings aid in risk stratification and management of TIA patients.
  • Early identification of these predictors can guide preventative strategies against recurrent stroke.

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