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

BREATHE: Benchmarking Respiratory Evaluation of Advanced Technologies for Healthcare Excellence

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.

Study Overview

Detailed Description

Long-term lung conditions such as COPD affect around one in five people and are the third leading cause of death in England. These conditions are often not picked up until they have reached an advanced stage, and sometimes people are given an incorrect diagnosis. They cause breathing difficulties due to lung damage, which cannot be reversed in the case of COPD.

At present, lung conditions are usually diagnosed through breathing tests like spirometry. These tests require people to blow forcefully into a machine several times, which can be uncomfortable and difficult for some patients. They also rely on specialist equipment and must be carried out and interpreted by highly trained professionals. Because there aren't enough of these professionals, waiting lists can be long. Even when spirometry is possible, it does not always detect lung disease early.

Two national NHS programmes - the Community Diagnostic Centre (CDC) programme and the Lung Cancer Screening (LCS) programme - create opportunities to find lung disease earlier. However, the same challenges with spirometry remain.

Recently, new types of lung tests have been developed. These tests may be simpler, quicker, and cheaper to use, but they are not yet part of standard NHS care. We need to find out whether these new tests can identify lung disease as well as, or better than, spirometry, especially at earlier stages. If they can, they may help prevent further lung damage and improve health outcomes. It is also important to understand how practical and cost-effective these tests are, and whether they could be used widely in different healthcare settings.

To explore this, we will carry out the new tests alongside traditional lung function tests in both community and hospital settings. We will invite adults with possible COPD who:

  • have been referred for spirometry at local CDCs,
  • have been referred for lung function testing at secondary care hospitals,
  • are attending for a lung scan as part of the LCS pathway, and
  • are attending local community groups or events.

Participants may also be asked to complete short surveys or optional interviews to share their experiences. Healthcare professionals working in testing centres will be invited to do the same. We are especially keen to hear from people who live with lung conditions or who experience health inequalities, so that we can understand how easy the tests are to use, how comfortable they are, and whether they could work well across different healthcare settings.

Study Type

Observational

Enrollment (Estimated)

300

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Hampshire
      • Andover, Hampshire, United Kingdom, SP10 3LB
        • Hampshire Hospitals NHS Foundation Trust
        • Principal Investigator:
          • Harry S Griffin, PhD HCPC
      • Southampton, Hampshire, United Kingdom, SO16 6YD
        • University Hospital Southampton NHS foundation Trust

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study 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

Description

Inclusion Criteria:

  • ≥ 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
  • Able to fully understand and cooperate with the study protocol
  • Clinically stable with no contraindications to lung function testing (outlined below)

Exclusion Criteria:

  • Confirmed diagnosis of COPD
  • Not willing and/or able to provide fully informed written consent to participate
  • Has a relative contraindication to lung function testing [18]:
  • Recent thoracic, abdominal or eye (e.g. cataract) surgery < 6 weeks
  • Unstable cardiovascular status, including recent myocardial infarction or pulmonary embolus < 6 weeks
  • Pneumothorax < 6 weeks
  • Haemoptysis of unknown origin < 6 weeks
  • Thoracic, abdominal or cerebral aneurysm
  • Chest infection < 6 weeks
  • An acute illness or symptom that might interfere with test performance (e.g. nausea, vomiting).
  • The presence of any other clinical condition that would prevent the individual from safely performing lung function tests

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
GP direct access spirometry within community diagnostic centres
Adults with suspected COPD/airway disease referred for spirometry testing at local community diagnostic centres
Capnography used in combination with machine learning-derived algorithms, with or without reversibility testing (if indicated on spirometry)
Oscillometry (where applicable), with or without reversibility testing (if indicated on spirometry). Measures respiratory impedance during normal tidal breathing.
Fractional exhaled nitric oxide (if requested). Used to assess airway inflammation.
Spirometry, with or without reversibility testing
Full lung function testing within secondary care hospitals
Adults with suspected COPD/airway disease referred for full lung function testing at secondary care hospitals
Capnography used in combination with machine learning-derived algorithms, with or without reversibility testing (if indicated on spirometry)
Oscillometry (where applicable), with or without reversibility testing (if indicated on spirometry). Measures respiratory impedance during normal tidal breathing.
Fractional exhaled nitric oxide (if requested). Used to assess airway inflammation.
Spirometry, with or without reversibility testing
Assesses lung diffusing capacity, performed using full pulmonary function testing equipment
Body plethysmography (if applicable). Used to assess static lung volumes and, where applicable, specific resistance, performed using full lung function equipment
Low dose-CT scan within lung cancer screening programme
Adults with suspected COPD/airway disease attending for a low-dose CT scan as part of the lung cancer screening programme
Capnography used in combination with machine learning-derived algorithms, with or without reversibility testing (if indicated on spirometry)
Oscillometry (where applicable), with or without reversibility testing (if indicated on spirometry). Measures respiratory impedance during normal tidal breathing.
Community outreach
Adults with suspected COPD/airway disease attending local community groups and events
Capnography used in combination with machine learning-derived algorithms, with or without reversibility testing (if indicated on spirometry)
Oscillometry (where applicable), with or without reversibility testing (if indicated on spirometry). Measures respiratory impedance during normal tidal breathing.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic accuracy of capnography used in combination with machine learning-derived algorithms
Time Frame: Baseline
Sensitivity, Specificity, PPV, NPV compared to clinician diagnosis of COPD
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Diagnostic accuracy of oscillometry
Time Frame: Baseline
Sensitivity, Specificity, PPV, NPV compared to clinician diagnosis of COPD
Baseline
Effectiveness of advanced technologies in detecting early, alternative, or precursor respiratory conditions
Time Frame: Baseline
Identification of pre-COPD using advanced respiratory diagnostic technologies in patients with normal forced expiratory volume in 1 second (FEV1) / forced vital capacity (FVC) ratio on spirometry but signs of reduced FEV1, gas trapping, hyperinflation, or reduced diffusing capacity on additional lung function tests performed in secondary care, or emphysema on CT scan. Differentiation of COPD from asthma using advanced diagnostic tests, particularly in patients presenting with overlapping respiratory symptoms
Baseline
Feasibility outcomes in Lung Cancer Screening pathway
Time Frame: Baseline
Recruitment uptake rate, time required and the acceptability to both patients and healthcare professional to complete additional diagnostic testing in individuals invited for low-dose CT (LDCT) as part of the lung cancer screening (LCS) pathway
Baseline
Time per test
Time Frame: Baseline
Time per test of advanced diagnostic technologies compared to usual care
Baseline
Comparative 'failure rate'
Time Frame: Baseline
Comparative 'failure rate' of advanced diagnostic technologies compared to usual care
Baseline
Usability and acceptability
Time Frame: Baseline
Patients' perceptions on the usability and acceptability of advanced respiratory diagnostic technologies compared to existing tests such as spirometry via a non-validated questionnaire
Baseline
Usability and acceptability
Time Frame: Baseline
Healthcare practitioners' perceptions on the usability, acceptability and confidence in advanced respiratory diagnostic technologies via semi-structured interviews
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

September 1, 2026

Primary Completion (Estimated)

September 1, 2027

Study Completion (Estimated)

September 1, 2029

Study Registration Dates

First Submitted

August 24, 2026

First Submitted That Met QC Criteria

August 27, 2026

First Posted (Actual)

September 1, 2026

Study Record Updates

Last Update Posted (Actual)

September 4, 2026

Last Update Submitted That Met QC Criteria

September 1, 2026

Last Verified

September 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

IPD Plan Description

Data may be shared under appropriate governance in accordance with the TidalSense and University Hospital Southampton NHS Foundation Trust agreement

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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