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NCT06386185Not yet recruiting

Developing the Probability Algorithm for Pulmonary Hypertension Echocardiography

Royal United Hospitals Bath NHS Foundation TrustClinicalTrials.govdiagnostic test
Verified
Study focus
Disease/Condition
Pulmonary Hypertension
Drug/Device/Intervention
Electrocardiogram
Study type
Observational
Intervention type
diagnostic test
Sponsor & location
Primary sponsor
Royal United Hospitals Bath NHS Foundation Trust
Location
Bath,Glasgow,Sheffield,Cambridge,London, United Kingdom
Timeline & enrollment
Phase
N/A
Start date
Jul 01, 2024
End date
Nov 01, 2026
Enrollment
2500 participants
Primary outcome

Distinguish between patients with and without pulmonary hypertension,Distinguish between patients with pre-capillary hypertension and post-capillary hypertension

Summary

The goal of this observational study is to assess the efficacy that the addition of novel
 markers cardiac function, particularly of right ventricular (RV) function in
 echocardiography, and ECG have in detecting pulmonary hypertension.
 
 The main questions it aims to answer are:
 
 Can novel markers in ECG and echocardiography suggest the presence of PH? Can existing
 screening guidelines be improved with the addition of these markers?

ICD-10 classifications
Primary pulmonary hypertensionOther secondary pulmonary hypertensionPulmonary heart disease and diseases of pulmonary circulationPulmonary heart disease, unspecifiedPulmonary valve disorders
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT06386185
Type
Non-Device Trial
About this record

Access comprehensive clinical trial information for NCT06386185 through Pure Global AI's free database. This phase not specified trial is sponsored by Royal United Hospitals Bath NHS Foundation Trust and is currently Not yet recruiting. The study focuses on Pulmonary Hypertension. Target enrollment is 2500 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.