Developing the Probability Algorithm for Pulmonary Hypertension Echocardiography

NCT06386185 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 2500

Last updated 2025-06-18

No results posted yet for this study

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?

Conditions

  • Pulmonary Hypertension

Interventions

DIAGNOSTIC_TEST

Electrocardiogram

Non-invasive multi-vector voltage/time graph visualising the electrical conduction of the heart

DIAGNOSTIC_TEST

Transthoracic echocardiogram

Non-invasive 2 \& 3 dimensional imaging of the heart using ultrasound

DIAGNOSTIC_TEST

Right heart catheter

Minimally invasive cardiac chamber pressure measurement using balloon catheterisation

Sponsors & Collaborators

  • Sheffield Teaching Hospitals NHS Foundation Trust

    collaborator OTHER
  • Royal Free Hospital NHS Foundation Trust

    collaborator OTHER
  • Golden Jubilee National Hospital

    collaborator OTHER_GOV
  • Papworth Hospital NHS Foundation Trust

    collaborator OTHER_GOV
  • University of Bath

    collaborator OTHER
  • Royal United Hospitals Bath NHS Foundation Trust

    lead OTHER

Principal Investigators

  • Daniel X Augustine · Royal United Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-09-06
Primary Completion
2026-12-01
Completion
2026-12-01

Countries

  • United Kingdom

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 NCT06386185 on ClinicalTrials.gov