An Observational Study Using Artificial Intelligence (AI) Algorithms on Electrocardiography (ECG), Point-of-care Ultrasound (POCUS), and Transthoracic Echocardiophy (TTE) to Estimate the Under-diagnosis of Transthyretin Amyloid Cardiomyopathy (ATTR-CM) Across a Diverse Range of US Health Systems.
NCT ID: NCT07062848
Last Updated: 2025-07-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
1500000 participants
OBSERVATIONAL
2025-01-24
2027-01-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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AI Toolkit for ATTR-CM Diagnosis
An artificial intelligence (AI) toolkit of algorithms that detect ATTR-CM on electrocardiography (ECG), point-of-care ultrasound (POCUS), and transthoracic echocardiography (TTE)
Eligibility Criteria
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Inclusion Criteria
* At least one retrievable ECG and/or 2D echo file (DICOM or equivalent video file) from EHR.
* 'Cases': ATTR-CM diagnosis defined by ICD-10 codes (Table 1) OR abnormal bone scintigraphy testing consistent with ATTR-CM OR treatment with an approved transthyretin stabilizer or other ATTR-CM-specific therapy
* 'Controls': any individuals not meeting the case definition. In these participants, we will consider all eligible ECG, POCUS, or TTE studies performed up to 12 months before diagnosis (first date of ICD code appearance, abnormal bone scintigraphy or treatment onset, whichever happened first) and any time after. 'Controls' will be drawn from ECGs, POCUS, or TTE studies performed in individuals not meeting the 'case' criteria above, including individuals who have never undergone dedicating testing or those who underwent e.g., bone scintigraphy, but with negative (or equivocal) findings.
Secondary Objective 2:
* Having at least two years of follow-up time between the index test (ECG, POCUS, or TTE) and the date of analysis.
* Having at least one healthcare encounter every two years across care settings from their first entry into the cohort through death or end of the follow-up period.
Exclusion Criteria
* Individuals who have opted out of research studies
Primary Objective:
* For subgroup analyses: when evaluating the prevalence of probable ATTR-CM status across demographic groups, we will exclude those with missing baseline demographic information (age, sex, race, geographic region).
Secondary Objective 1:
50 Years
95 Years
ALL
No
Sponsors
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Bridgebio Pharma, Inc
UNKNOWN
Yale University
OTHER
Responsible Party
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Principal Investigators
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Rohan Khera, MD, MS
Role: PRINCIPAL_INVESTIGATOR
Yale University
Locations
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University of California - San Francisco (UCSF) Health
San Francisco, California, United States
Yale New Haven Health System
New Haven, Connecticut, United States
Henry Ford Health
Detroit, Michigan, United States
Mount Sinai
New York, New York, United States
Duke Health
Durham, North Carolina, United States
Providence Health
Tigard, Oregon, United States
Medical University of South Carolina (MUSC) Health
Charleston, South Carolina, United States
UT Southwestern Medical Center
Dallas, Texas, United States
Houstin Methodist
Houston, Texas, United States
University of Virginia School of Medicine
Charlottesville, Virginia, United States
University of Washington Medicine
Seattle, Washington, United States
Countries
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Other Identifiers
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2000039184
Identifier Type: -
Identifier Source: org_study_id
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