Probability of Cardioembolic vs. Atherothrombotic Pathogenesis of Cryptogenic Strokes in Older Patients

Antonio Muscari1, Eleonora Evangelisti2, Luca Faccioli3

  • 1Stroke Unit; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy.

Insights

A new scoring system using ECG, lab, and echo data helps identify causes of cryptogenic stroke in older adults. This tool differentiates between cardioembolism (likely atrial fibrillation) and large artery atherothrombosis, guiding further investigation and prevention.

Area of Science:

  • Neurology
  • Cardiology
  • Geriatrics

Background:

  • Cryptogenic stroke lacks a clear cause, necessitating better diagnostic tools.
  • Identifying the stroke mechanism (cardioembolism vs. atherothrombosis) is crucial for effective secondary prevention.

Purpose of the Study:

  • To develop and validate a scoring system to differentiate cardioembolic strokes (particularly from paroxysmal atrial fibrillation) and large artery atherothrombosis in elderly patients with cryptogenic stroke.
  • To assess the utility of clinical, laboratory, electrocardiogram (ECG), and echocardiographic parameters.

Main Methods:

  • Retrospective analysis of 290 ischemic stroke patients (≥60 years) categorized into large artery atherothrombosis, cardioembolic (paroxysmal atrial fibrillation), and cryptogenic stroke groups.
  • Utilized multiple logistic regression to identify predictors for each stroke type.
  • Developed a scoring system based on significant variables: late PR interval, left atrium size, left ventricular end-diastolic volume, posterior circulation syndrome, male gender, hypercholesterolemia, and initial platelet count.

Main Results:

  • The scoring system demonstrated good predictive values: 89.1% for cardioembolism (>0) and 72.5% for atherothrombosis (≤0).
  • The area under the receiver operating characteristic curve was 0.85, indicating strong discriminatory power.
  • In cryptogenic stroke patients, 41.5% scored positive for probable atrial fibrillation, while 58.5% scored positive for possible atherothrombosis.

Conclusions:

  • A novel scoring system integrating ECG, laboratory, clinical, and echocardiographic data effectively aids in distinguishing stroke etiologies in older adults.
  • This tool offers valuable guidance for selecting appropriate diagnostic workups and implementing targeted secondary prevention strategies for cryptogenic stroke patients.

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