Stroke Cohort Study
Stroke Cohort Study - Related Videos
10:45
The Mouse Stroke Unit Protocol with Standardized Neurological Scoring for Translational Mouse Stroke Studies
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2025
This article presents a protocol for executing the highly translational and independently proven mouse Stroke Unit (mSU) concept in large-stroke mice. It also provides a standardized protocol for executing the focal experimental stroke scale in mice, which evaluates stroke focal deficits detected even long-term.
04:32
Exertional Heat Stroke Mouse Model: A Protocol to Study Mechanisms Underlying Exertional Heat Stroke
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2025
In this video we describe a step-by-step protocol to study exertional heat stroke (EHS) in a mouse model.
08:14
Modeling Stroke in Mice: Permanent Coagulation of the Distal Middle Cerebral Artery
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Cited by 103 •
2014
Various murine models of middle cerebral artery occlusion (MCAO) are widely used in experimental brain research. Here, we demonstrate the model of transcranial permanent distal MCAO which produces consistent cortical infarction of a size corresponding to damage imposed by the majority of human ischemic strokes.
06:38
The Stroke Preclinical Assessment Network Multi-Laboratory Model of Thromboembolic Stroke with Thrombolysis: TE-MCAo
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2025
To simulate thromboembolic stroke, emboli prepared from heterologous rat blood were injected into the middle cerebral artery, followed by administration of systemic thrombolysis for recanalization. This version of the model is optimized for use in a multi-laboratory network and supports testing multiple candidate therapeutics.
08:36
A Versatile Murine Model of Subcortical White Matter Stroke for the Study of Axonal Degeneration and White Matter Neurobiology
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Cited by 20 •
2016
Here we present methodology for the production of a focal stroke in murine white matter by local injection of an irreversible endothelial nitric oxide synthase (eNOS) inhibitor (L-Nio). Presented are two stereotactic variations, retrograde neuronal tracing, and fresh tissue labeling and dissection that expand the potential applications of this technique.
FAQs
Researchers classify participants by factors such as vascular risk factors, previous stroke, treatment exposure, or stroke subtype. These groups allow investigators to examine whether particular characteristics are associated with different rates of stroke, disability, recurrence, or recovery during follow-up. The resulting comparisons connect patient profiles with outcomes rather than treating the cohort as a single undifferentiated population.
Follow-up may capture the occurrence of new strokes, recurrent events, disability, recovery, or other long-term outcomes documented through clinical assessments, medical records, or imaging data. The selected outcome determines what the study can estimate, such as stroke incidence, predictors of disability, recurrence patterns, or the real-world effectiveness of a treatment exposure.
Stroke subtype provides a clinically meaningful way to separate participants whose disease characteristics may differ. Examining outcomes within or across subtypes can show whether recurrence, disability, or recovery patterns vary between patient groups. This classification helps researchers connect observed outcomes to more specific clinical circumstances instead of relying only on broad stroke categories.
Investigators compare outcomes among participants classified by treatment exposure as they receive care in real-world settings. Follow-up data can then show how treatment exposure relates to recovery, disability, recurrence, or other outcomes. Because the study observes existing care rather than describing an assigned intervention, its value lies in evaluating treatment effectiveness across routine clinical populations.
A study begins by defining the participant group and the characteristics used for classification, such as risk factors, prior stroke, treatment exposure, or subtype. Researchers then follow participants over time, collect clinical assessments, medical records, or imaging data, and compare recorded outcomes between groups. Analysis can estimate incidence and identify predictors of disability or recurrence.
Clinical assessments provide direct information about patient status, while medical records document diagnoses, treatment exposure, and outcomes during care. Imaging data add another source for evaluating stroke-related findings when available. Combining these sources allows investigators to link baseline characteristics and clinical categories with outcomes observed throughout follow-up.
These studies are useful when researchers need evidence about stroke risk, recovery, recurrence, disability, or treatment performance in patient populations over time. Their findings can support prevention strategies and clinical decision-making by identifying characteristics associated with outcomes. At a system level, the same evidence can inform health care planning for longer-term stroke needs.