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ECG and CXR for Predicting Cardiovascular Diseases

NCT07573852 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 116380

Last updated 2026-05-07

No results posted yet for this study

Summary

This retrospective multicenter cohort study aims to develop and validate an artificial intelligence model integrating electrocardiography (ECG) and chest radiography (CXR) to predict future progression of regurgitant valvular heart disease (rVHD), including aortic, mitral, and tricuspid regurgitation. Adult patients with ECG, CXR, and echocardiography obtained within 60 days, together with follow-up echocardiographic data, are included. The primary objective is to determine whether multimodal ECG+CXR modeling improves prediction of progression to moderate or severe regurgitation beyond ECG-only or CXR-only models. Secondary objectives include evaluation of clinical utility, risk stratification, and model interpretability. This study is intended to assess whether routinely acquired ECG and CXR can be used to support surveillance echocardiography and risk-directed management in patients at risk of future rVHD progression.

Conditions

  • Valvular Heart Diseases
  • Valvular Heart Disease Stenosis and Regurgitation
  • Regurgitation, Aortic Valve
  • Regurgitation, Mitral

Sponsors & Collaborators

  • Shanghai Zhongshan Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2017-07-14
Primary Completion
2023-12-31
Completion
2025-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07573852 on ClinicalTrials.gov