NCT03549806

Stanford Cardiac Invasive Electrophysiology Novel Computer Experience

Stanford Cardiac Invasive Electrophysiology Novel Computer Experience (SCIENCE)

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 11 (actual)
• Sponsor: Stanford University · Academic / Other
• Sex: All
• Age: 21 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

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

Detailed description

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.

Conditions

• Atrial Fibrillation
• Atrial Tachycardia
• Atrial Flutter
• Arrhythmias, Cardiac

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	No Intervention. Test is computer algorithm.	Diagnostic algorithms (test) will be run on already acquired clinical data. No study intervention in operator-prescribed clinical ablation. Predictive accuracy of test for study outcome will then be determined in follow-up

Timeline

• Start date: 2018-06-21
• Primary completion: 2021-01-11
• Completion: 2021-01-11
• First posted: 2018-06-08
• Last updated: 2024-12-02

Locations

1 site across 1 country: United States