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

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.

Eligibility

Inclusion Criteria:

* Adults aged 18 years or older
* Pulmonary artery systolic pressure (PASP) ≥35 mmHg as estimated by echocardiography
* Provided written informed consent

Exclusion Criteria:

* Severe hepatic or renal insufficiency
* Malignancy under active treatment
* Severe infection
* Active autoimmune disease
* Major surgery within the past 3 months
* Pregnant or breastfeeding women
* Severe psychiatric disorder impairing ability to comply with the study protocol

Conditions2

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