Active clinical trials for "Hypertension, Pulmonary"

The main objective of this study is to analyze the survival of a cohort of patients admitted for acute decompensation of pulmonary arterial hypertension or postembolic pulmonary hypertension and to establish the prognostic value of biomarkers.

The knowledge on the rare type of pulmonary hypertension which can not be explained by left heart disease, respiratory disease or congenital heart disease is very limited. Investigators aim to setup a national registration study for the rare type of pulmonary hypertension, to understand the natural history, survival, progression, genetic and environmental contributions to disease.

Registry Data from PH-patients in Switzerland, who have given consent to records for research purposes.

Pulmonary hypertension represents a challenging and heterogeneous condition that is associated with high mortality and morbidity if left untreated. Artificial intelligence is used to study and develop theories and methods that simulate and extend human intelligence, which is being applied in fields related to cardiovascular diseases. The study intends to combine multimodal clinical data of patients who undergo right heart catheterization at Fuwai Hospital with artificial intelligence techniques to create programs that can screen and diagnose pulmonary hypertension.

The purpose of this study is to establish the large PH cohort and biological database in China, aiming for precision medicine to optimize diagnosis and treatment choices.

Pulmonary hypertension (PH) is defined as a pulmonary arterial mean pressure (meanPAP) ≥ 25 mmHg measured in the right heart catheterization. There are different forms of PH defined in the classification of Dana Point 2008. PH is diagnosed with right heart catheterization but there are other non invasive methods which can be used for screening like the echocardiography, stress echocardiography and cardio pulmonary exercise testing. In the diagnosis process and in the follow up of PH patients biomarkers like NTproBNP are helpful. There are no specific biomarkers for the disease which can make the diagnosis process easier and predict prognosis. The systematic data collection in a data base provides better information about patients in daily routine and clinical studies as well as in the design of new studies.

The purpose of the study is to determine whether patients with pulmonary hypertension (PH) have dysynchrony, and if so whether it is electrical or mechanical. Once this has been determined, during a catheterization the investigators will test if pacing the heart improves blood circulation.

PH is a serious disease with a dismal prognosis and impaired quality of life when left untreated. Reliable patient centered and prognostically relevant outcome measures are highly warranted in the field of PH. With this prospective cohort study the investigators intend to gain important information on the course of the disease and knowledge on the value of different new and already established outcome parameters.

Patients are being asked to be in this research study because medical researchers hope that by gathering information about a large number of children with pulmonary hypertension over time, their understanding of the disease process will increase and lead to better treatment. Investigators believe that pulmonary hypertension in children is different than pulmonary hypertension in adults and this study will help us understand those differences.

The Change Database is a prospective, observational multi-center disease registry, which will collect data on patients with chronic thromboembolic pulmonary hypertension (CTEPH) in China. The registry will run for approximately 5 years. It aims to illustrate the epidemiology, management and longterm outcomes of CTEPH.