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Updated: Jul 11, 2026
06:38
The Stroke Preclinical Assessment Network Multi-Laboratory Model of Thromboembolic Stroke with Thrombolysis: TE-MCAo
Published on: December 19, 2025
Cooperative stroke management project by a peer-review organization
D L Gordon1, A B Cobb, J S McIlwain
1Department of Neurology, University of Mississippi Medical Center, Jackson, MS, USA.
Summary
Adherence to ischemic stroke management guidelines was low in four Mississippi hospitals. Key areas for improvement include hypertension management, DVT prophylaxis, stroke cause evaluation, and discharge antithrombotic therapy.
Area of Science:
- Neurology
- Public Health
- Healthcare Quality Improvement
Background:
- Nationally accepted guidelines exist for ischemic stroke management.
- Improving patient care in Mississippi requires adherence to these guidelines.
- Understanding current practice patterns is essential for quality improvement.
Purpose of the Study:
- To determine adherence to ischemic stroke management guidelines in four Mississippi hospitals.
- To identify specific areas of variance from established guidelines.
- To provide data for targeted quality improvement initiatives.
Main Methods:
- Retrospective chart review of Medicare beneficiaries discharged with acute ischemic stroke.
- Analysis of 427 patient records from four regional hospitals over one year.
- Comparison of hospital practices against national ischemic stroke management guidelines.
Main Results:
- 375 of 427 (87.8%) patients had ischemic stroke; 76 (17.8%) died in-hospital.
- Significant variances noted in emergent hypertension management, DVT prophylaxis, stroke cause evaluation, and discharge antithrombotic use.
- Ischemic stroke patient management frequently deviated from national guidelines.
Conclusions:
- Management of acute ischemic stroke patients in the studied Mississippi hospitals often did not align with national guidelines.
- Targeted interventions and data feedback are needed to improve stroke care.
- Utilizing academic expertise and hospital-specific data can drive meaningful improvements in stroke management.
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