NIPH Clinical Trials Search

Valvular Registry Research Using Artificial Intelligence Technology

Basic Information

Recruitment status	Recruiting
Health condition(s) or Problem(s) studied	aortic stenosis
Date of first enrollment	01/01/2014
Target sample size	100000
Countries of recruitment
Study type	Observational
Intervention(s)

Outcome(s)

Primary Outcome

Age-specific prevalence of AS classified according to severity using the same criteria. Prognosis (death, cardiovascular events, hospitalization for heart failure) of AS patients classified according to severity using the same criteria. Progression of AS (changes in initial echocardiogram findings and prognosis).

Secondary Outcome

Description of referrals to facilities capable of performing AVR. Description of referrals of AS patients to AVR facilities and their prognosis. Association between AS patient symptoms (angina/heart failure as complications, syncope/dyspnea on exertion as symptoms) and prognosis (cardiovascular events, death). Description and comparison of prognosis by severity between AS diagnosed by AI and AS diagnosed by conventional clinical practice. Description and comparison of prognosis by severity between AI-diagnosed AS and AS diagnosed through conventional clinical practice. Investigation of factors contributing to differences in AS diagnosis between AI diagnosis and conventional clinical practice (image quality, equipment, measurement errors, age, gender, body build, subjective symptoms, and other clinical backgrounds).

Key inclusion & exclusion criteria

Age minimum	Not applicable
Age maximum	Not applicable
Gender	Both
Include criteria	All patients who underwent transthoracic echocardiography between January 1, 2014 and December 31, 2023 at one of the participating study centers (University of the Ryukyus Hospital, Okinawa Chubu Hospital, Naha City Hospital).
Exclude criteria	Patients without echocardiographic data available for AI analysis