Early Diagnosis of Atrial Fibrillation in the Wait-Time Prior to Seeing a Cardiologist (CATCH-AF)

February 23, 2024 updated by: Victoria Cardiac Arrhythmia Trials

Early Diagnosis of Atrial Fibrillation in the Wait-Time Prior to Seeing a Cardiologist (CATCH-AF)

A randomized patient-oriented trial to investigate whether continual symptomatic use of the Kardia Mobile monitoring device is a superior strategy for diagnosing Atrial Fibrillation (AF) in comparison to normal ambulatory monitoring with a 24-hour Holter monitor. Patients with referrals to an Electrophysiologist, symptoms of AF but no documentation of AF, and with at least one stroke risk factor based on the CHADS2 scoring system are randomized 1:1 to Kardia Mobile monitoring versus Holter monitoring alone.

Study Overview

Detailed Description

Wait-times from referral by a family practitioner to seeing a specialist have increased greatly over the past 10 years in Canada. The Fraser institute reports an 11 week wait-time in BC in 20161. Our experience is that this is representative of the wait-time to see a cardiologist at our institute.

Family doctors can diagnose some cases of atrial fibrillation (AF) with a pulse check and 12-lead electrocardiogram (ECG). However this is the minority of patients and most diagnoses are made on the basis of more prolonged ambulatory ECG recordings as part of the investigation of paroxysmal symptoms by a specialist2.

There is an increasing prevalence of AF3 and the consequences of late diagnosis can be dire. For example a 76 year old lady with treated hypertension and yet to be diagnosed paroxysmal AF has a risk of 6.7% per year of suffering stroke, TIA or systemic thromboembolus4. During the ~11 week wait for an appointment plus a further ~8 week wait for thorough diagnostic testing and further follow up she therefore has a 2.5% risk of having an event. If this is multiplied across the thousands of patients waiting for appointments across Canada over the course of a year it is evident that numerous thromboembolic complications could be prevented through reduction of the time to diagnosis.

Furthermore the first-line investigation for diagnosis of paroxysmal arrhythmia is usually an ambulatory ECG monitor (Holter/Event monitor)5,6. However, patients frequently do not have symptoms during the period of monitoring and the diagnostic yield is between 15% and 39%7-10.

Implantable loop recorders (ILRs) can provide accurate and thorough ECG monitoring continuously for up to 3 years. However, they are used late in the diagnostic process and are too expensive for widespread use for AF screening and so can only have a limited impact on overall time to diagnosis.

We therefore have two main problems in early AF diagnosis with paroxysmal symptoms. First that patients are waiting a long time for diagnostic tests and second that the diagnostic tools usually used by clinicians are not particularly good at picking up AF. We believe both issues can be tackled through use of the Karda Mobile in the wait-time prior to an appointment with a specialist.

The Kardia Mobile (AliveCor, San Francisco) is a validated, CE marked, single channel ECG recorder that can be paired with a smartphone. It has a high sensitivity (98%) and specificity (97%) for AF diagnosis11. This device allows intermittent patient-driven monitoring based on symptoms. Since smartphones are now owned by 68% of Canadians, most patients can now access this tool12.

We hypothesize that the Kardia Mobile could be an excellent tool for the diagnosis of AF in the wait-time prior to seeing a cardiologist. We aim to expand the role of our AF clinic at the Royal Jubilee Hospital, Victoria, BC by introducing enhanced wait- time arrhythmia diagnostics using the Kardia in this pilot study.

We will enrol patients at high risk for thromboembolus (score≥1 as per CHADS-65 CCS algorithm13) who are awaiting an appointment with a cardiologist in our locality for investigation of paroxysmal symptoms that may be caused by arrhythmia. These patients will either have standard care with a 24h Holter monitor or enhanced monitoring using the Kardia Mobile in addition to standard Holter monitoring.

We aim to test whether using the Kardia Mobile during the wait-time can reduce the time to diagnosis of AF

Study Type

Interventional

Enrollment (Actual)

73

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • British Columbia
      • Victoria, British Columbia, Canada, V8Z 0B9
        • Victoria Cardiac Arrhythmia Trials

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Age >18
  • Referral for episodic symptoms that may be due to arrhythmia (e.g. palpitations, dyspnea, or pre-syncope)
  • At least one risk factor from CHADS-65 CCS Algorithm

Exclusion Criteria:

  • Previous diagnosis of atrial fibrillation
  • Already anticoagulated for another diagnosis (e.g. metallic heart valve or pulmonary embolism)
  • Symptoms typical of non-arrhythmic cause (e.g. exertional chest pain)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Diagnostic
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Standard of Care
Holter monitoring
Use of smart device application and technologies to assess for arrhythmias
Other Names:
  • Atrial Fibrillation Diagnostic Testing
Active Comparator: Enhanced Monitoring
Kardia/AliveCor monitoring with additional Holter monitoring as needed
Use of smart device application and technologies to assess for arrhythmias
Other Names:
  • Atrial Fibrillation Diagnostic Testing
Kardia/AliveCor monitoring
Other Names:
  • Atrial Fibrillation Diagnostic Testing

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Time to atrial fibrillation diagnosis compared between arms as analysed by Kaplan-Meier survival curves
Time Frame: 6 months
using the Log-rank test.
6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Markus Sikkel, MD, Victoria Cardiac Arrhythmia Trials Inc.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 18, 2018

Primary Completion (Actual)

October 21, 2022

Study Completion (Estimated)

March 1, 2024

Study Registration Dates

First Submitted

March 6, 2020

First Submitted That Met QC Criteria

March 9, 2020

First Posted (Actual)

March 10, 2020

Study Record Updates

Last Update Posted (Actual)

February 28, 2024

Last Update Submitted That Met QC Criteria

February 23, 2024

Last Verified

February 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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