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PH-DyPred: A Multimodal Dynamic Risk Prediction Study in Pulmonary Hypertension

NCT07131241 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2025-08-28

No results posted yet for this study

Summary

Pulmonary hypertension (PH) is a progressive cardiopulmonary disease characterized by elevated pulmonary artery pressure and vascular remodeling, which leads to right heart failure and increased mortality. Despite advances in diagnostics, risk stratification remains limited due to the disease's heterogeneity. This study aims to develop and validate a dynamic risk prediction model for PH by integrating multimodal data-including echocardiography, Cardiac MRI, PET-MR, ECG, biomarkers, and clinical features-using advanced machine learning algorithms. The study will establish a prospective cohort of PH patients to explore predictive markers, stratify prognosis, and provide a scientific basis for early warning and individualized management.

Conditions

  • Pulmonary Hypertension

Sponsors & Collaborators

  • First Affiliated Hospital of Fujian Medical University

    lead OTHER

Principal Investigators

  • Dajun Chai, MD · First Affiliated Hospital of Fujian Medical University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-06-27
Primary Completion
2028-06-30
Completion
2029-06-30

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 NCT07131241 on ClinicalTrials.gov