Deep-learning ECG to detect pulmonary hypertension

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This interventional study applies a deep-learning algorithm to routine 12-lead ECGs to screen for elevated pulmonary arterial pressure in older adults. Participants aged 50–85 with a 12-lead ECG within the prior three months will have the AI-ECG analyzed to identify likely elevated PAP. Those flagged by the algorithm would be prompted to undergo echocardiography for confirmation and potential clinical follow-up. The protocol excludes patients with known pulmonary hypertension, certain cardiomyopathies, prior heart or lung transplants, or very high prior echocardiographic pressures to focus on undiagnosed or high-risk cases.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Men or women, ≥ 50 to 85 years of age
* At least one 12-lead ECG within 3 months

Exclusion Criteria:

* A diagnosis of PH WHO Groups 1, 2, 3, 4, or 5
* A diagnosis of hypertrophic cardiomyopathy, restrictive cardiomyopathy, constrictive pericarditis, cardiac amyloidosis, or infiltrative cardiomyopathy
* Prior heart, lung, or heart-lung transplants
* Any systolic pulmonary artery pressure \>50 mmHg by echocardiography before
* Echocardiography in 3 months before index ECG

Where it's running

• National Defense Medical Center
  Taipei, Taiwan Recruiting

Study contacts

• Study coordinator: Chin Lin, Associate Professor
• Email: up6fup0629@gmail.com
• Phone: 886+2-87923311

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.