Stanford Cardiac Invasive Electrophysiology Novel Computer Experience



Status:Recruiting
Conditions:Atrial Fibrillation, Atrial Fibrillation, Cardiology, Cardiology
Therapuetic Areas:Cardiology / Vascular Diseases
Healthy:No
Age Range:21 - 80
Updated:7/4/2018
Start Date:June 21, 2018
End Date:June 30, 2021
Contact:Sanjiv M Narayan, MD, PhD
Email:sanjiv1@stanford.edu
Phone:(650) 723-9363

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Stanford Cardiac Invasive Electrophysiology Novel Computer Experience (SCIENCE)

This study will test the ability of computer algorithms to predict successful ablation
therapy for atrial arrhythmias.

Patients will be recruited prospectively from among those undergoing ablation for atrial
fibrillation (AF) or atrial tachycardias (AT) which may be reentrant or focal. Each patient
will undergo careful data collection, including electrogram data and sites of ablation
lesions. Ablation will proceed in operator-dependent fashion, and will not be modified in any
way for this study. The research question is whether algorithms based on data such as
electrograms and details of the ablation performed can predict which patients will have a
successful case. Primary endpoints are measures of clinical success defined by (a) acute
termination of atrial arrhythmia during the case; (b) long-term reduction in arrhythmia
burden; (c) long-term freedom from arrhythmia. Secondary endpoints include (a) identification
of sites of arrhythmia termination; (b) improved clinical status.

Inclusion Criteria:

- Patients undergoing catheter ablation for atrial arrhythmias

Exclusion Criteria:

- Inability to sign informed consent

- Expected survival < 1 year

- Extreme comorbidity, such as advanced NYHA Class III/IV heart failure, dialysis,
series stroke.
We found this trial at
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Stanford, California 94305
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