What scoring system is used to differentiate cardioembolic from large‑artery atherosclerotic infarcts in an adult with acute ischemic stroke?

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TOAST Classification System for Differentiating Cardioembolic from Large-Artery Atherosclerotic Stroke

The TOAST (Trial of ORG 10172 in Acute Stroke Treatment) classification system is the standard scoring system used to differentiate cardioembolic from large-artery atherosclerotic infarcts in adults with acute ischemic stroke. 1

Overview of TOAST Classification

The TOAST system categorizes ischemic strokes into five distinct subtypes based on clinical features and diagnostic test results: (1) large-artery atherosclerosis, (2) cardioembolism, (3) small-vessel occlusion, (4) stroke of other determined etiology, and (5) stroke of undetermined etiology. 1 This classification system was specifically designed to allow investigators to report treatment responses among important subgroups of patients with ischemic stroke and has demonstrated high interobserver agreement. 1

Diagnostic Criteria for Large-Artery Atherosclerosis

Large-artery atherosclerosis requires imaging evidence of ≥50% stenosis or occlusion of a major cerebral artery or branch cortical artery due to atherosclerosis. 2, 3 Key diagnostic features include:

  • Cortical infarcts in the distribution of a large cerebral artery on brain imaging 3
  • Vascular imaging (CT angiography, MR angiography, carotid duplex ultrasound, or transcranial Doppler) demonstrating significant stenosis 2
  • Often preceded by TIAs in the same arterial distribution 3
  • Most common subtype in anterior cerebral, middle cerebral, vertebral, and anterior/posterior inferior cerebellar artery territories 4

Diagnostic Criteria for Cardioembolic Stroke

Cardioembolism requires identification of a high-risk cardiac source on ECG, rhythm monitoring, or echocardiography. 2 Distinguishing features include:

  • Cortical or large subcortical infarctions on brain imaging 3
  • Identifiable high-risk cardiac source (atrial fibrillation being most common) 3
  • Associated with the highest mortality rate among ischemic stroke subtypes 3
  • Most common cause in superior cerebellar artery territory 4
  • Frequently causes multiple-vascular-territory infarction in carotid territory (44.2% of cases) 4

Required Diagnostic Workup

To accurately apply TOAST classification, a comprehensive evaluation must include:

Imaging Studies

  • Non-contrast CT or MRI to confirm acute ischemic stroke and exclude hemorrhage 2
  • Cervical and intracranial vessel imaging (CTA, MRA, carotid duplex, or transcranial Doppler) to identify large-artery stenosis 2
  • Brain imaging should be completed within 25 minutes of ED arrival for thrombolytic candidates 2

Cardiac Evaluation

  • 12-lead electrocardiogram to detect atrial fibrillation and arrhythmias 2
  • Continuous cardiac rhythm monitoring (telemetry or Holter) for paroxysmal atrial fibrillation 2
  • Transthoracic echocardiography at minimum to assess cardioembolic sources 5
  • Cardiac troponin measurement to assess concurrent myocardial ischemia 2

Laboratory Studies

  • Complete blood count with platelet count 2
  • Prothrombin time/INR and activated partial thromboplastin time 2
  • Serum electrolytes and renal function tests 2
  • Blood glucose to rule out hypoglycemic mimics 2
  • Fasting lipid profile and hemoglobin A1c 2, 5

Critical Pitfalls and Clinical Caveats

A major limitation is that clinical practice TOAST diagnoses are accurate in only 61% of patients when compared to expert reference standards, with particularly poor sensitivity for large-artery atherosclerosis (33%) and positive predictive value for multiple subtypes. 6 This suboptimal performance occurs despite the system's theoretical high interobserver agreement. 6

Misclassification has direct therapeutic implications: A patient with atrial fibrillation and a small subcortical infarct requires anticoagulation (cardioembolic mechanism), not just antiplatelet therapy (small vessel disease). 5 The clinical syndrome alone is insufficient—imaging confirmation of infarct size and location plus exclusion of alternative causes is mandatory. 5

Do not rely solely on clinical features without completing the full diagnostic workup, as stroke diagnostics have advanced substantially since TOAST was designed 30 years ago. 6 The American Heart Association emphasizes that accurate classification requires comprehensive diagnostic testing including both brain imaging and vascular studies to guide treatment approaches. 3

Emerging Adjunctive Tools

The BOCS2 scale, which combines TOAST classification with angiographic occlusion type patterns and histopathological findings from extracted thrombi, has shown 93.5% sensitivity and 100% specificity for identifying cardioembolic stroke in patients with undetermined etiology. 7 This represents a potential adjunctive diagnostic tool when mechanical thrombectomy is performed. 7

References

Guideline

Stroke Classification and Management

Praxis Medical Insights: Practical Summaries of Clinical Guidelines, 2026

Guideline

Ischemic Stroke Subtypes and Diagnostic Approaches

Praxis Medical Insights: Practical Summaries of Clinical Guidelines, 2025

Guideline

Diagnostic Workup for Lacunar Stroke

Praxis Medical Insights: Practical Summaries of Clinical Guidelines, 2025

Research

Development of a predictive scale for cardioembolic stroke using extracted thrombi and angiographic findings.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 2020

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Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.

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