Artificial Intelligence-enhanced Electrocardiogram Diagnoses and Predicts Future Regurgitant Valvular Heart Diseases

NCT ID: NCT06475157

Last Updated: 2024-07-05

Study Results

Results pending

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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Recruitment Status

COMPLETED

Total Enrollment

500000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-03-01

Study Completion Date

2024-05-30

Brief Summary

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This is a retrospective study to establish models for the prediction of future valvular heart diseases with artificial intelligence-enhanced electrocardiogram (ECG).

Detailed Description

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Conditions

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Electrocardiogram, Valvular Heart Disease

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

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Patient group with progression of valvular heart diseases

No intervention

Intervention Type OTHER

No intervention is applied.

Patient group without progression of valvular heart diseases

No intervention

Intervention Type OTHER

No intervention is applied.

Interventions

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No intervention

No intervention is applied.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Subjects that received ECG and echocardiography tests during a date frame.

Exclusion Criteria

* Subjects who is younger than 18 years of age.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Shanghai Zhongshan Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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180 Fenglin Road

Shanghai, , China

Site Status

Hammersmiths Hospital

London, , United Kingdom

Site Status

Countries

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China United Kingdom

Other Identifiers

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AIECG_VHDP

Identifier Type: -

Identifier Source: org_study_id

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