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| Name | Class |
|---|---|
| Hull University Teaching Hospitals NHS Trust | OTHER_GOV |
| TidalSense | INDUSTRY |
| Asthma + Lung UK | UNKNOWN |
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Aim: To investigate the potential for N-Tidal to improve COPD diagnosis and enable detection of pre-COPD*.
Objectives:
Aim: Explore the blood biomarker profile among FRONTIER Programme participants to explore a potential role in early COPD identification.
Objectives:
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.
Explore a potential role for blood biomarkers in COPD diagnostics.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Head-to-head comparison with post-bronchodilator spirometry among FRONTIER programme participants |
| ||
| Explore the blood biomarker profile among FRONTIER study participants to explore COPD identification |
|
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| Measure | Description | Time Frame |
|---|---|---|
| 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 (NHS Lung Health Check) participants. | We will investigate the performance of TidalSense COPD Diagnostic Algorithms (including the sensitivity, specificity, positive predictive value and negative predictive value of TidalSense 'likely' or 'highly likely' outputs) for COPD diagnosis in a real-world, head-to-head comparison with post-bronchodilator spirometry among NHS Lung Health Check participants. It is anticipated that ~900 patients will participate in the programme. | 1 year |
| To assess the performance of TidalSense COPD Diagnostic Algorithms for identification of pre-COPD. | We will investigate the sensitivity, specificity, positive predictive value and negative predictive value of TidalSense 'likely' or 'highly likely' outputs for identifying those that go onto receive a diagnosis of COPD within 1-year of initial review (Pre COPD). | 1 year |
| Evaluate TidalSense COPD Diagnostic Algorithms ability to identify those at risk of developing COPD within 1-year | We will investigate the sensitivity, specificity, positive predictive value and negative predictive value of TidalSense 'likely' or 'highly likely' outputs for identifying those at risk of developing COPD within 1-year | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Explore a potential role for blood biomarkers in COPD diagnostics including investigating 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 | blood biomarker profiles (eosinophils, nTProBNP, fibrinogen, CRP, and IL-6) will be reported descriptively for those with confirmed COPD, pre-COPD and no COPD. Initial univariable pre-screening will inform variable inclusion in a multivariable logistic regression model to explore factors associated with COPD and pre-COPD diagnosis. Identified associated factors will be considered for inclusion in Tidalsense's diagnostic algorithms and the impact on performance investigated. |
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All Hull Lung Health Study participants that attend a one-stop diagnostic clinic appointment as part of the FRONTIER Programme (NHS Lung Health Check) will be eligible for inclusion in this study.
Prospective consent provided for use of data for research purposes and for future contact as part of the Hull Lung Health Study
Inclusion criteria:
Exclusion criteria:
-Existing COPD diagnosis noted at the time of their Lung Health Check or new COPD diagnosis since Lung Health Check attendance AND prescribed appropriate COPD therapy.
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Hull Lung Health Study participants that take part in the FRONTIER Programme will be included in this study.
The FRONTIER Programme is a Collaborative Working Project between the NHS (Hull University Teaching Hospitals NHS Trust) and Chiesi LTD. It aims to enable early COPD diagnosis and timely initiation of evidence-based pharmacological and non-pharmacological interventions to improve outcomes for participants of the Hull Lung Health Check Programme, and the linked Hull Lung Health Study, that missed out on spirometry during their initial Lung Health Check due to infection control precautions
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Micheal Crooks, Prof | Contact | +44 01482 624067 | michael.crooks@nhs.net | |
| Kayleigh Brindle | Contact | +44 01482 624067 | Kayleigh.brindle@nhs.net; karen.watkins14@nhs.net |
| Name | Affiliation | Role |
|---|---|---|
| Micheal Crooks, Prof | Hull York Medical School | Principal Investigator |
| Karen Watkins | Hull University Teaching Hospitals NHS Trust | Study Chair |
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Clinical and COPD status data will be retained within the Hull Lung Health Study dataset (held by Hull University Teaching Hospitals NHS Trust) prior to pseudonymisation and transfer to the University of Hull Data Safe Haven. N-Tidal data will be pseudonymised at the point of collection and transferred to the TidalSense cloud where it will be analysed and held by TidalSense. Hull Lung Health Study Data will be available for external research purposes via application to the research team.
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Blood biomarker profiles (obtained from the Hull Lung Health Study data) of people with i) confirmed COPD, ii) pre-COPD, and iii) no evidence of COPD will be investigated to explore a potential role for blood biomarkers in COPD diagnostics.
| 1 year |
| ID | Term |
|---|---|
| D029424 | Pulmonary Disease, Chronic Obstructive |
| D004646 | Emphysema |
| ID | Term |
|---|---|
| D008173 | Lung Diseases, Obstructive |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
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