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The Stroke Preclinical Assessment Network Multi-Laboratory Model of Thromboembolic Stroke with Thrombolysis: TE-MCAo
Published on: December 19, 2025
Classification of stroke subtypes
P Amarenco1, J Bogousslavsky, L R Caplan
1Department of Neurology and Stroke Center, INSERM U-698 and Paris-Diderot University, Bichat University Hospital, Paris, France. pierre.amarenco@bch.aphp.fr
This review proposes a new stroke subtype classification system for improved patient categorization in clinical trials, epidemiological studies, and treatment decisions. The system distinguishes stroke types and etiologies, incorporating surrogate markers for comprehensive phenotyping.
Area of Science:
- Neurology
- Medical Informatics
Background:
- Stroke classification is crucial for research and clinical practice.
- Existing systems vary in purpose and scope, leading to inconsistencies.
- A standardized approach is needed for accurate patient phenotyping and therapeutic decision-making.
Purpose of the Study:
- To review existing stroke subtype classification systems.
- To propose rules and a framework for a novel, comprehensive stroke classification system.
- To enhance stroke patient characterization for diverse research and clinical applications.
Main Methods:
- Systematic review of published stroke subtype classification systems.
- Analysis of classification purposes: clinical trials, epidemiology, genetics, and treatment.
- Development of a classification framework distinguishing stroke types (ischemic, hemorrhagic, etc.) and etiologies.
Main Results:
- Identified limitations in current stroke classification systems.
- Proposed a classification structure differentiating major stroke categories and ischemic stroke etiologies.
- Incorporated surrogate markers (e.g., carotid plaque, leukoaraiosis) for detailed phenotyping.
Conclusions:
- A refined stroke classification system is essential for advancing stroke research and patient care.
- The proposed system offers a basis for consistent and detailed stroke patient subtyping.
- Integration of etiologies and surrogate markers enhances the utility of stroke classification.
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