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Transient ischemic attack and minor ischemic stroke: an algorithm for evaluation and treatment. Mayo Clinic Division
R D Brown1, B A Evans, D O Wiebers
1Division of Cerebrovascular Diseases, Mayo Clinic Rochester, MN 55905.
Insights
This study presents a cost-effective algorithm for assessing and treating transient ischemic attack (TIA) and minor ischemic stroke. The algorithm aids in consistent clinical decision-making for these cerebrovascular events.
Area of Science:
- Neurology
- Clinical Medicine
- Health Economics
Background:
- Transient ischemic attack (TIA) and minor ischemic stroke assessment lacks consistent clinical approaches.
- Stroke is a leading cause of death and lost productivity in the United States.
- Effective management of TIA and minor ischemic stroke is crucial for patient outcomes and healthcare costs.
Purpose of the Study:
- To develop and report a cost-effective, scientifically based algorithm for the clinical assessment and treatment of TIA or minor ischemic stroke.
- To standardize the decision-making process for patients presenting with TIA or minor ischemic stroke.
- To guide appropriate patient disposition, diagnostic testing, and therapeutic interventions.
Main Methods:
- Comprehensive literature review on epidemiology, assessment, and treatment of ischemic cerebrovascular disease.
- Development of a simplified algorithm integrating clinical and research data for decision support.
- Review of diagnostic modalities including computed tomography (CT) and cerebral angiography, and therapeutic options like anticoagulants and antiplatelet agents.
Main Results:
- The algorithm clarifies patient eligibility for hospitalization and anticoagulation therapy.
- Initial CT head without contrast is recommended to differentiate hemorrhagic from non-hemorrhagic stroke.
- Cerebral angiography remains the gold standard for detecting stenoses, with treatment tailored to pathophysiologic findings.
Conclusions:
- The algorithmic approach simplifies complex patient assessment for ischemic cerebrovascular disease.
- While the algorithm applies to a wide patient spectrum, individual clinical judgment remains paramount due to heterogeneity.
- Physician experience, patient history, and examination findings are essential for guiding evaluation beyond the algorithm.
Objective:
To report a cost-effective and scientifically based algorithm for the clinical assessment and treatment of patients with transient ischemic attack (TIA) or minor ischemic stroke.
Design:
We comprehensively reviewed the literature on the epidemiologic features, assessment approaches, and treatment recommendations for ischemic cerebrovascular disease and developed an algorithm by using the available clinical and research data to support all decision-making steps.
Material And Methods:
For patients with TIA or minor ischemic stroke, the appropriate setting for investigation (inpatient or outpatient), suggested diagnostic tests, use of anticoagulants and antiplatelet agents, and indications for surgical treatment are reviewed.
Results:
Although stroke is a common cause of death and lost productivity in the United States, the clinical assessment of patients with TIA or minor ischemic stroke has lacked consistency. The simplified algorithm clarifies patients who may be candidates for hospitalization and possible anticoagulation therapy. Initial diagnostic studies should include computed tomography of the head without use of a contrast agent, which quickly distinguishes nonhemorrhagic from hemorrhagic cerebrovascular disease. Evolving noninvasive studies of the cerebral vasculature are providing increasingly sensitive means of detecting stenoses, yet cerebral angiography remains the "gold standard." Treatment options depend on the pathophysiologic findings on diagnostic evaluation.
Conclusion:
The assessment of patients with ischemic cerebrovascular disease is complex. The simplified algorithmic approach reported herein necessitates entry of appropriate patients into the algorithm. Because of clinical heterogeneity, an algorithm may apply to a wide spectrum of patients but will not cover every situation; hence, evaluation must be guided by a patient's unique history and findings on examination and by the physician's clinical experience.