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Clinical Trial Details — Status: Withdrawn

Administrative data

NCT number NCT04127123
Other study ID # 49800
Secondary ID 49800
Status Withdrawn
Phase
First received
Last updated
Start date July 3, 2019
Est. completion date January 11, 2021

Study information

Verified date May 2021
Source Stanford University
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Atrial fibrillation is a serious public health issue that affects over 5 million Americans in whom it may cause skipped beats, dizziness, stroke and even death. This study seeks to improve our understanding of the causes of atrial fibrillation and to design new and more effective therapy for this heart rhythm disorder.


Description:

This project will focus on the development of a novel paradigm for electrophysiologic data analysis and interpretation using cloud-based computing resources and mobile technology. Currently, electrophysiologic data gathered during a procedure is analyzed by the operator using multiple separate desk-based computer systems in the electrophysiology laboratory. The investigators propose that advances in cloud-based computing resources and network connectivity should apply a mobile paradigm to apply to invasive electrophysiologic procedures. This project will provide proof-of-concept that open-access software the investigators have developed and made available online could be used, via a mobile phone interface, to identify sites in the heart where therapy is effective. At no time will patient therapy be guided by this system. The investigators will pursue therapy using only clinical means. In parallel, a double-blinded team will analyze data in real time using our online software visualized on a smartphone. Only when the case is concluded will the data be unblinded, to determine if the mobile system was accurate in real time. Thus, development and testing of the cloud-based computing system is designed only to establish feasibility of the paradigm, followed by improvement of computational modeling algorithms. The data that is collected will add to the investigators' existing unique catalogue of multimodal (structural, clinical, and electrophysiologic) data. The importance of this novel paradigm is to move from analyzing large volumes of data in isolation to creating a mobile platform, and to allow scalability to increase access, such as to underdeveloped medical centers.


Recruitment information / eligibility

Status Withdrawn
Enrollment 0
Est. completion date January 11, 2021
Est. primary completion date December 30, 2020
Accepts healthy volunteers No
Gender All
Age group 21 Years to 80 Years
Eligibility Inclusion Criteria: - men and women of any ethnicity - aged 21-80 years - undergoing ablation of atrial fibrillation at Stanford University - failed or be intolerant of = 1 anti-arrhythmic drug or not willing to accept antiarrhythmic drug therapy. Exclusion Criteria: - active coronary ischemia or decompensated heart failure - atrial or ventricular clot on trans-esophageal echocardiography - pregnancy (to minimize fluoroscopic exposure) - inability or unwillingness to provide informed consent - rheumatic valve disease (because it results in a unique AF phenotype) - thrombotic disease or venous filters - significantly reduced kidney function

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
United States Stanford University Stanford California

Sponsors (1)

Lead Sponsor Collaborator
Stanford University

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Primary Mapping Accuracy Location of driver regions for AF During Procedure (Electrophysiology Study and Ablation)
Primary Termination of atrial fibrillation Does ablation at any driver region lead to AF termination During Procedure (Electrophysiology Study and Ablation)
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