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Stroke-SCORE: Personalizing Acute Ischemic Stroke Treatment to Improve Patient Outcomes

Jessica Seetge1, Balázs Cséke2, Zsófia Nozomi Karádi1

  • 1Stroke Unit, Department of Neurology, University of Pécs, 7624 Pécs, Hungary.

Journal of Personalized Medicine
|January 24, 2025
PubMed

Insights

A new tool, Stroke-SCORE, personalizes acute ischemic stroke (AIS) treatment by predicting patient outcomes. This data-driven approach optimizes interventions like thrombolysis and mechanical thrombectomy for better results.

Area of Science:

  • Neurology
  • Clinical Medicine
  • Biostatistics

Background:

  • Acute ischemic stroke (AIS) is a primary cause of long-term disability and mortality globally.
  • Current AIS treatment protocols are often standardized, lacking personalization based on individual patient characteristics.
  • There is a need for data-driven tools to guide individualized treatment decisions in AIS management.

Purpose of the Study:

  • To introduce the Stroke-SCORE (Simplified Clinical Outcome Risk Evaluation), a predictive tool for personalized AIS management.
  • To provide data-driven, individualized recommendations for optimizing treatment strategies in AIS patients.
  • To improve patient outcomes by tailoring interventions based on risk stratification.

Main Methods:

  • Retrospective analysis of 793 AIS patients (February 2023-September 2024).
  • Logistic regression identified age, NIHSS score, and pre-mRS as predictors of 90-day unfavorable outcomes (mRS > 2).
  • Internal validation using ROC analysis and calibration assessed predictive performance.

Main Results:

  • The Stroke-SCORE showed a moderate positive correlation with unfavorable 90-day outcomes (OR=0.70, p<0.001).
  • The model achieved an AUC of 0.86, with 79% sensitivity, 81% specificity, and 80% overall accuracy.
  • Simulations demonstrated that Stroke-SCORE-guided personalized treatment significantly reduced unfavorable outcomes.

Conclusions:

  • The Stroke-SCORE is a practical, data-driven tool with strong predictive performance for personalizing AIS treatment.
  • It effectively stratifies patients to guide decisions on thrombolysis, mechanical thrombectomy, or standard care.
  • External, multicenter prospective validation is recommended to confirm its real-world applicability.

Keywords:
Stroke-SCOREacute ischemic strokesimplified clinical outcome risk evaluation

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