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Advances in Acute Ischemic and Hemorrhagic Stroke 2024

Stroke Journal

Stroke, Volume 56, Issue 1 , Page 194-197, January 1, 2025.

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Abstract WP51: Non-Traumatic Intracranial Hemorrhage and Risk of Incident Dementia

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page AWP51-AWP51, February 1, 2025. The exposure was an incident diagnosis of non-traumatic intracranial hemorrhage, defined as a composite of intracerebral hemorrhage, subarachnoid hemorrhage, or subdural hemorrhage. 2.5), subarachnoid hemorrhage (HR, 2.0; years (IQR, 3.0-9.1),

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Abstract TP205: Alzheimer’s Disease and Risk of Intracranial Hemorrhage

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page ATP205-ATP205, February 1, 2025. Introduction:Alzheimers Disease (AD), characterized by extracellular deposition of amyloid beta (A) plaques in brain tissue, is often comorbid with cerebral amyloid angiopathy, which carries an elevated risk of intracranial hemorrhage. andICD-10-CMcode G30.x.

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Abstract DP8: Multifaceted Approach to Improving Hemorrhagic Stroke Scoring Performance

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page ADP8-ADP8, February 1, 2025. the 2023 calendar year, our comprehensive stroke metric for hemorrhagic stroke scoring was at 64%, below the 'Get with the Guidelines' benchmark of 87%.To We continue to assess compliance and project feasibility.We

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Abstract WP236: Inflammartory score can predict the risk of hemorrhagic transformation after ischemic stroke

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page AWP236-AWP236, February 1, 2025. Background:A novel inflammatory score has been validated for hematoma expansion and poor outcomes in patients with intracerebral hemorrhage. Inflammatory score was significantly higher in patients with hemorrhagic transformation.

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Abstract TP198: Alpha-Delta Ratio as an Acute Marker of Intracerebral Hemorrhage on Sub-galeal EEG

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page ATP198-ATP198, February 1, 2025. Background:Spontaneous intracerebral hemorrhage (ICH) remains one of the most devastating forms of stroke, leaving many patients unresponsive with disorders of consciousness. However, there remain few options for continuous brain monitoring for ICH.

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Abstract WP222: External Validation of an Automated Hemorrhage Detection and Segmentation Algorithm on Follow-up CT scans in the AcT trial

Stroke Journal

Stroke, Volume 56, Issue Suppl_1 , Page AWP222-AWP222, February 1, 2025. Background and Aims:Machine learning models have shown promising potential for automated hemorrhage detection and segmentation, alleviating highly time-consuming manual contouring and facilitating rapid clinical diagnosis. 93.7%) and accuracy of 87.4%