AI-Enabled Electrocardiogram-Guided Guideline-Directed Medical Therapy on Incident Left Ventricular Dysfunction: A Target Trial Emulation Study
Status: Recruiting
Location: See location...
Intervention Type: Behavioral
Study Type: Interventional
Study Phase: Not Applicable
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
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: t
View:
• With an ECG followed by an echocardiogram within a 90-day interval
• With preserved left ventricular ejection fraction (LVEF ≥ 50%)
Locations
Other Locations
Taiwan
Tri-Service General Hospital
RECRUITING
Taipei
Contact Information
Primary
Wei-Ting Liu, M.D.
wtliucv@gmail.com
+886287923311
Time Frame
Start Date: 2026-01-01
Estimated Completion Date: 2026-01-15
Participants
Target number of participants: 5000
Treatments
Experimental: Intervention
Initiation of Guideline-directed medical therapies, including angiotensin converting enzyme inhibitors (ACEi) or angiotensin II receptor blockers (ARB) , beta-blockers and sodium-glucose cotransporter 2 (SGLT2) inhibitors
No_intervention: Control
No Guideline-directed medical therapies
Related Therapeutic Areas
Sponsors
Leads: Tri-Service General Hospital