Utilising Hull Lung Health Study Data to Investigate the Performance of TidalSense Diagnostic Algorithms to Identify COPD and Pre-COPD Among Participants in the FRONTIER Programme.
NCT ID: NCT06788613
Last Updated: 2025-05-31
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
1200 participants
OBSERVATIONAL
2025-08-31
2026-09-30
Brief Summary
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Objectives:
1. To assess the performance of TidalSense COPD Diagnostic Algorithms for COPD diagnosis in a real-world, head-to-head comparison with post-bronchodilator spirometry among FRONTIER programme participants.
2. To assess the performance of TidalSense COPD Diagnostic Algorithms for identification of pre-COPD.
3. Evaluate TidalSense COPD Diagnostic Algorithms ability to identify those at risk of developing COPD within 1-year.
Aim: Explore the blood biomarker profile among FRONTIER Programme participants to explore a potential role in early COPD identification.
Objectives:
1. Investigate the blood biomarker profile (obtained from the Hull Lung Health Study data) of people with i) confirmed COPD, ii) pre-COPD, and iii) no evidence of COPD.
2. Explore a potential role for blood biomarkers in COPD diagnostics.
* Pre-COPD is defined, as per the GOLD Report 2023, as individuals who have respiratory symptoms and/or other detectable structural and/or functional abnormalities in the absence of airflow obstruction on forced spirometry. For the purpose of this study, respiratory symptoms will be classified as a CAT score \> 10 during FRONTIER clinic attendance and presence of emphysema on low-dose CT considered evidence of structural lung abnormalities
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Head-to-head comparison with post-bronchodilator spirometry among FRONTIER programme participants
1. To assess the performance of TidalSense COPD Diagnostic Algorithms for COPD diagnosis in a real-world, head-to-head comparison with post-bronchodilator spirometry among FRONTIER programme participants.
2. To assess the performance of TidalSense COPD Diagnostic Algorithms for identification of pre-COPD.
3. Evaluate TidalSense COPD Diagnostic Algorithms ability to identify those at risk of developing COPD within 1-year.
No interventions assigned to this group
Explore the blood biomarker profile among FRONTIER study participants to explore COPD identification
1. Investigate the blood biomarker profile (obtained from the Hull Lung Health Study data) of people with i) confirmed COPD, ii) pre-COPD, and iii) no evidence of COPD.
2. Explore a potential role for blood biomarkers in COPD diagnostics.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Participants in the Hull Lung Health Check Programme (ever smokers aged 55-75 and registered with a Hull GP) with one or more of the following symptoms during their lung health check:
* Breathlessness
* Cough
* Bronchitis
* Recurrent infections
* AND/OR evidence of Emphysema on Low Dose CT
Exclusion Criteria
55 Years
75 Years
ALL
No
Sponsors
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Hull University Teaching Hospitals NHS Trust
OTHER_GOV
TidalSense
INDUSTRY
Asthma + Lung UK
UNKNOWN
Chiesi UK
INDUSTRY
Responsible Party
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Principal Investigators
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Micheal Crooks, Prof
Role: PRINCIPAL_INVESTIGATOR
Hull York Medical School
Karen Watkins
Role: STUDY_CHAIR
Hull University Teaching Hospitals NHS Trust
Central Contacts
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Other Identifiers
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Beyond-FRONTIER
Identifier Type: -
Identifier Source: org_study_id
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