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A Thrombotic Stroke Model Based On Transient Cerebral Hypoxia-ischemia
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Study on the risk prediction for cerebral infarction after transient ischemic attack: A STROBE compliant study

Chenhao Zhang1, Yanjing Zang2, Lei Hu1

  • 1Department of Neurology.

Medicine
|March 17, 2020
PubMed

Insights

Transient ischemic attack (TIA) patients at high risk for stroke can be identified using the ABCD score. Combining the ABCD score with DWI and MRA imaging improves prediction accuracy for cerebral infarction following TIA.

Area of Science:

  • Neurology
  • Radiology
  • Clinical Medicine

Background:

  • Transient ischemic attack (TIA) is a critical warning sign for future cerebral infarction, with approximately one-third of patients experiencing progression.
  • Early identification of high-risk TIA patients is essential for timely intervention and prevention of stroke.
  • Current prediction methods require enhancement to accurately assess the risk of cerebral infarction post-TIA.

Purpose of the Study:

  • To evaluate the predictive value of the ABCD score for cerebral infarction within 30 days of TIA.
  • To assess the combined utility of the ABCD score with Diffusion Weighted Imaging (DWI) and Magnetic Resonance Angiography (MRA) in predicting post-TIA cerebral infarction.
  • To compare the accuracy of the ABCD score alone versus the combined ABCD + DWI + MRA score in early cerebral infarction prediction.

Main Methods:

  • A cohort of 182 TIA patients was analyzed, collecting clinical data and results from DWI and MRA.
  • Patients were assessed using the 7-point ABCD score, and cerebral infarction incidence was monitored at 2, 7, and 30 days post-TIA.
  • Statistical analysis compared the predictive accuracy of the ABCD score against the combined ABCD + DWI + MRA score using Area Under the Curve (AUC).

Main Results:

  • The incidence of cerebral infarction was 10.4% at 2 days, 23.1% at 7 days, and 30.8% at 30 days post-TIA.
  • Higher ABCD scores correlated significantly with increased risk of cerebral infarction (P < .05).
  • The combined ABCD + DWI + MRA score demonstrated superior predictive accuracy (AUCs ranging from 0.780 to 0.839) compared to the ABCD score alone (AUCs ranging from 0.748 to 0.801) across all time points (P < .05).

Conclusions:

  • The ABCD score is a valuable tool for stratifying TIA patients based on cerebral infarction risk.
  • Combining the ABCD score with DWI and MRA significantly enhances the prediction accuracy for early cerebral infarction after TIA.
  • This multimodal approach offers improved risk assessment, facilitating more effective preventative strategies for patients following a TIA.

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