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Artificial Intelligence Enhanced ECG to Detect Cardiac Amyloidosis

Not Applicable
Active, not recruiting
Conditions
Cardiac Amyloidosis
Interventions
Other: AI ECG Amyloid algorithm
Registration Number
NCT05557162
Lead Sponsor
Mayo Clinic
Brief Summary

The purpose of this study is to assess a novel artificial intelligence (AI)-enabled electrocardiogram (ECG)-based screening tool for improving the diagnosis of cardiac amyloidosis (CA).

Detailed Description

This pragmatic trial will be the first study to prospectively evaluate the use of the AI ECG dashboard along with an augmented report in everyday practice. The findings will also guide future implementation strategies and inform the translation of many of the current and future AI algorithms into the clinical setting. The participants are the providers. Basic demographic information about the providers will be collected as well as their reactions to the trial based educational guidance supplied to them. Patient health information will be collected on their patients using a HIPPA waiver. There will be no patient contact.

Recruitment & Eligibility

Status
ACTIVE_NOT_RECRUITING
Sex
All
Target Recruitment
20143
Inclusion Criteria
  • Mayo Clinic cardiology or hematology providers who care for adult patients
  • Mayo Clinic providers who consent to participate on this study
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Exclusion Criteria
  • None
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Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Notification of the AI ECG algorithm and the A3E scoresAI ECG Amyloid algorithmProvider-facing recommendation report that alerts to provider for positive AI ECG Amyloid Score, standardized amyloid order set, diagnostic algorithm and reminders
Primary Outcome Measures
NameTimeMethod
To determine if AI ECG algorithm and enhanced algorithms and education enable earlier diagnosis of cardiac amyloidosisProtocol for a Pragmatic Cluster Randomized Clinical Trial (PREDICT-AMY)1 year

The number of patients diagnosed with cardiac amyloidosis in cardiology and hematology practices will be compared between those providers undergoing the AI ECG intervention to those randomized to standard practice arm

Secondary Outcome Measures
NameTimeMethod
To determine if AI ECG and enhanced algorithms and education enable earlier diagnosis of cardiac amyloidosis intervention across different practice types (strata)1 year

Performance of AI ECG intervention across cardiology and hematology practices and between community and tertiary facilities will be analyzed by measuring rates of cardiac amyloidosis diagnosis across these strata

To assess differential costs between the intervention arm and the standard of care arm1 year

Upon trial completion, the difference in clinical expenditures between the intervention and standard of care arms will be compared. To this end, the rates of test ordering will be counted and compared between the interventional arm and the standard of care arm. A cost will be assigned to each test to calculate expenditures per correct diagnosis. The test of interest will include: NT-proBNP, troponin, protein electrophoresis with isotyping, serum immunoglobulin free light chains, 24-hour urinary protein with immunofixation, cardiac magnetic resonance imaging, echocardiogram, technetium pyrophosphate nuclear cardiac scintigraphy , endomyocardial biopsy, and fat aspirate.

To assess provider satisfaction with the AI ECG intervention1 year

For a screening tool to be effective, it has to be user friendly. The providers randomized to the AI ECG intervention arm will be surveyed to understand their experience. This endpoint will be descriptive. Providers will answer a 6 question using a 5-point Likert scale (higher number is more favorable).

Trial Locations

Locations (4)

Mayo Clinic Health System - Eau Claire

🇺🇸

Eau Claire, Wisconsin, United States

Mayo Clinic in Arizona

🇺🇸

Scottsdale, Arizona, United States

Mayo Clinic in Florida

🇺🇸

Jacksonville, Florida, United States

Mayo Clinic in Rochester

🇺🇸

Rochester, Minnesota, United States

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