Association of baseline core volume and early midline shift in acute stroke patients with a large ischaemic core

Ting-Yu Yi1, Yan-Min Wu1, Ding-Lai Lin1

  • 1Zhangzhou Affiliated Hospital of Fujian Medical University, Fujian, China.

Frontiers in Neurology
|January 26, 2023
PubMed

Insights

A large baseline infarct core volume, specifically over 40 ml with relative cerebral blood flow less than 15%, predicts early midline shift in stroke patients undergoing endovascular treatment.

Area of Science:

  • Neurology
  • Radiology
  • Stroke Medicine

Background:

  • Midline shift (MLS) is a significant complication in patients with large infarct core (LIC).
  • Baseline infarct core volume is a potential predictor of early MLS.
  • Understanding this relationship is crucial for managing acute stroke patients.

Purpose of the Study:

  • To investigate the association between baseline infarct core volume and the presence of early midline shift.
  • To identify specific infarct core volume thresholds that predict early MLS.

Main Methods:

  • Retrospective analysis of patients with acute intracranial large artery occlusion and pretreatment relative cerebral blood flow (rCBF) <30% volume ≥50 ml on CT perfusion (CTP).
  • Evaluation of early MLS presence within 48 hours as the primary endpoint.
  • Multivariable regression analysis to assess the association between baseline infarct core volume (ICV) and early MLS.

Main Results:

  • 29.5% of 95 included patients experienced early MLS.
  • A larger baseline rCBF < 15% volume was significantly associated with early severe MLS (46 ml vs. 29 ml).
  • Baseline rCBF < 15% volume demonstrated superior predictive accuracy for early MLS compared to rCBF < 30% volume (AUC 0.74 vs. 0.64).
  • An infarct core volume ≥40 ml based on rCBF < 15% was significantly associated with early MLS (OR 4.34).

Conclusions:

  • Pretreatment infarct core volume exceeding 40 ml, defined by rCBF < 15%, is a valuable predictor of early MLS in acute stroke patients treated with EVT.
  • This finding aids in risk stratification and management planning for stroke patients.
Abstract

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