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

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.

NCT Number	NCT07131241
Lead Sponsor	First Affiliated Hospital of Fujian Medical University
Conditions	Pulmonary Hypertension
Enrollment	1,000 participants
Start Date	2025-06-27
Primary Completion	2028-06-30 (estimated)
Study Completion	2029-06-30 (estimated)
Updated on ClinicalTrials.gov	2025-08-28