Age-adjusted infarct volume threshold for good outcome after endovascular treatment

Marc Ribo1, Alan Flores1, Eloy Mansilla1

  • 1Stroke Unit, Department of Neurology, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.

Insights

Age-adjusted infarct size is a key predictor of stroke outcome in patients undergoing endovascular treatment. Smaller infarct volumes, tailored to patient age, significantly improve prognosis and guide future clinical trial design.

Area of Science:

  • Neurology
  • Interventional Neurology
  • Stroke Medicine

Background:

  • Infarct volume and patient age are critical determinants of stroke outcomes.
  • Previous studies highlight their predictive value, but the interplay between age and infarct size requires further elucidation.

Purpose of the Study:

  • To investigate the impact of infarct volume on stroke outcomes across different age groups.
  • To establish age-specific infarct volume thresholds for predicting good outcomes after endovascular treatment.

Main Methods:

  • A cohort of 214 patients with acute stroke and internal carotid artery/middle cerebral artery occlusion undergoing endovascular procedures was analyzed.
  • Patients were stratified into three age groups: <70 years, 70-79 years, and ≥80 years.
  • Initial CT scans assessed using the Alberta Stroke Program Early CT score (ASPECTS), with infarct volume measured at 24 hours post-procedure.

Main Results:

  • Larger infarct volumes correlated with poorer outcomes across all age groups.
  • Age-adjusted target infarct volumes for good outcomes decreased with increasing age (G1: 49 mL, G2: 32.5 mL, G3: 15.2 mL).
  • Achieving a final infarct volume below the age-adjusted target was the sole significant predictor of a good outcome (OR 5.5), independent of other factors.

Conclusions:

  • Age-adjusted infarct size serves as a potent surrogate marker for predicting stroke outcomes in patients receiving endovascular therapy.
  • These findings can refine prognostic accuracy and inform the design of individualized selection criteria for clinical trials in stroke patients.
Abstract

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