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AI-Enabled Electrocardiogram-Guided Guideline-Directed Medical Therapy on Incident Left Ventricular Dysfunction: A Target Trial Emulation Study

RECRUITINGN/ASponsored by Tri-Service General Hospital
Actively Recruiting
PhaseN/A
SponsorTri-Service General Hospital
Started2026-01-01
Est. completion2026-01-15
Eligibility
Age18 Years+
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT07355023

Summary

This multicenter retrospective study evaluates whether artificial intelligence-enabled electrocardiography (AI-ECG) can identify individuals at high risk for left ventricular dysfunction and whether targeted guideline-directed medical therapy can mitigate subsequent risk. Using a large multicenter cohort of patients with preserved left ventricular systolic function, the investigators applied an AI-ECG-based risk stratification approach and emulated a target trial to examine the association between guideline-directed therapies and the risk of incident left ventricular functional decline.

Eligibility

Age: 18 Years+Healthy volunteers accepted
Inclusion Criteria:

* With an ECG followed by an echocardiogram within a 90-day interval
* With preserved left ventricular ejection fraction (LVEF ≥ 50%)

Exclusion Criteria:

* missing essential variables or ECG lead data
* any prior LVEF \< 50%
* loss to follow-up or death during the 90-day assessment window

Conditions2

Heart DiseaseLeft Ventricular (LV) Systolic Dysfunction

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