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Changes in cerebral perfusion during third-generation implantable cardioverter defibrillator testing
American Heart Journal
|April 1, 1994
Summary
Quantitative electroencephalography (QEEG) and transcranial Doppler (TCD) assess cerebral perfusion during implantable cardioverter-defibrillator (ICD) testing. Impaired cerebrovasomotor reactivity (CVR) predicts intolerance to ICD therapy, while intact CVR predicts tolerance.
Area of Science:
- Cardiology
- Neuroscience
- Biomedical Engineering
Background:
- Implantable cardioverter-defibrillators (ICDs) offer tiered therapy for ventricular arrhythmias.
- Current ICD programming lacks consideration for hemodynamic effects of dysrhythmias.
- Intelligent ICDs require assessment of hemodynamic consequences and end-organ perfusion.
Purpose of the Study:
- To evaluate quantitative electroencephalography (QEEG) and transcranial Doppler (TCD) for measuring cerebral perfusion during ICD testing.
- To determine if QEEG and TCD can predict tolerance or intolerance to programmed ICD therapy.
- To assess the utility of these techniques for evaluating hemodynamic sensors in future ICDs.
Main Methods:
- QEEG and TCD were used to monitor cerebral perfusion in patients undergoing ICD testing.
- Cerebrovasomotor reactivity (CVR) was assessed during hypotensive episodes and ventricular tachycardia.
- Near-infrared spectroscopy measured transcranial oxyhemoglobin saturation during ventricular tachycardia.
Main Results:
- Impaired CVR and changes in EEG (loss of alpha power, increased delta power) predicted intolerance to ICD therapy in 25/91 hypotensive episodes.
- Intact CVR prevented cerebral ischemia and predicted tolerance to programmed ICD therapy.
- These effects were more pronounced in the erect posture and during ventricular tachycardia.
Conclusions:
- QEEG and TCD are sensitive indicators of cerebral perfusion during ICD testing and programming.
- These techniques can predict patient tolerance to programmed ICD therapy.
- QEEG and TCD can serve as benchmarks for evaluating hemodynamic sensors in next-generation ICDs.