Comparing Advanced Technologies to Standard Testing for the Diagnosis of Airway Disease in Hospital and Community Settings

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorUniversity Hospital Southampton NHS Foundation Trust

About this trial

Airway disease, such as chronic obstructive pulmonary disease (COPD), is usually diagnosed through breathing tests like spirometry. However, it requires people to blow forcefully into a machine several times which can be uncomfortable and difficult for some patients.

This study is looking at whether newer technologies and other breathing tests can help diagnose COPD as accurately as standard testing. We will compare these tests in both hospital and community settings. We are interested in understanding how practical and cost-effective these tests are, including how easy they are to use and how comfortable they are for patients to perform.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

≥ 18 years of age

New referral to community or secondary healthcare services

Clinical suspicion of airway disease/COPD

Able to provide fully informed written consent

Disqualifiers

Confirmed diagnosis of COPD

Not willing and/or able to provide fully informed written consent to participate

Recent thoracic, abdominal or eye (e.g. cataract) surgery < 6 weeks

Unstable cardiovascular status, including recent myocardial infarction or pulmonary embolus < 6 weeks

Trial population

Adults with a clinical suspicion of COPD/airway disease referred for spirometry testing at local community diagnostic centres or for lung function testing at secondary care hospitals. Additionally, adults attending for a low-dose CT scan as part of the lung cancer screening programme or adults attending local community groups or events

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • Capnography

    Diagnostic test

    Capnography used in combination with machine learning-derived algorithms, with or without reversibility testing (if indicated on spirometry)

  • Oscillometry

    Diagnostic test

    Oscillometry (where applicable), with or without reversibility testing (if indicated on spirometry). Measures respiratory impedance during normal tidal breathing.

  • FENO

    Diagnostic test

    Fractional exhaled nitric oxide (if requested). Used to assess airway inflammation.

  • Gas Transfer

    Diagnostic test

    Assesses lung diffusing capacity, performed using full pulmonary function testing equipment

  • Static Lung Volumes

    Diagnostic test

    Body plethysmography (if applicable). Used to assess static lung volumes and, where applicable, specific resistance, performed using full lung function equipment

  • Spirometry

    Diagnostic test

    Spirometry, with or without reversibility testing

Treatment groups

300 Participants
are divided into 4 treatment groups
Group A: GP direct access spirometry within community diagnostic centres4 interventions
Group B: Full lung function testing within secondary care hospitals6 interventions
Group C: Low dose-CT scan within lung cancer screening programme2 interventions
Group D: Community outreach2 interventions

Trial outcomes

Primary outcomes

1

Diagnostic accuracy of capnography used in combination with machine learning-derived algorithms

Sensitivity, Specificity, PPV, NPV compared to clinician diagnosis of COPD

Time frame
Baseline

Secondary outcomes

1

Diagnostic accuracy of oscillometry

Sensitivity, Specificity, PPV, NPV compared to clinician diagnosis of COPD

Time frame
Baseline
2

Time per test

Time per test of advanced diagnostic technologies compared to usual care

Time frame
Baseline
3

Comparative 'failure rate'

Comparative 'failure rate' of advanced diagnostic technologies compared to usual care

Time frame
Baseline
4

Usability and acceptability

Patients' perceptions on the usability and acceptability of advanced respiratory diagnostic technologies compared to existing tests such as spirometry via a non-validated questionnaire

Time frame
Baseline

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

University Hospital Southampton NHS Foundation Trust

Lead sponsor

Hampshire Hospitals NHS Foundation Trust

Collaborator

University of Southampton

Collaborator

TidalSense

Collaborator

NIHR Southampton Respiratory Biomedical Research Centre

Collaborator

Restech Srl

Collaborator

This trial is not recruiting at the moment. You can still explore other options: