Detection of Atrial Fibrillation in Routine EEG Recordings.

Area of Science:

• Neurology
• Cardiology
• Clinical Medicine

Background:

• Electroencephalogram (EEG) recordings often include a single electrocardiogram (ECG) channel to identify ECG or pulse wave artifacts.
• Beyond artifact detection, ECGs offer valuable clinical data, notably for identifying arrhythmias like atrial fibrillation (AF).
• Atrial fibrillation is a significant risk factor for embolic stroke and systemic embolism, underscoring the importance of its detection.

Approach:

• This study retrospectively analyzed consecutive EEG reports from a general hospital's EEG laboratory over a 7-year period.
• The analysis focused on determining the prevalence of detected atrial fibrillation across different age demographics.

Key Points:

• Atrial fibrillation was detected in 0-0.2% per decade for individuals up to 60-69 years old.
• The prevalence of AF increased notably in older age groups: 2.7% in the 70-79 group, 5% in the 80-89 group, and 8% in the 90-99 group.
• These findings indicate a rising prevalence of AF with advancing age.

Conclusions:

• The study recommends careful analysis of ECG traces for atrial fibrillation, particularly in patients exceeding 60 years of age.
• Promptly reporting detected AF to the referring physician is crucial for appropriate patient management.
• Integrating comprehensive ECG analysis into routine EEG procedures can improve the detection of significant cardiac conditions like AF.