SLP Model Development in the Diagnosis of COPD Patients
- Conditions
- COPDHealthy Smoker
- Interventions
- Device: Structured Light Plethysmography
- Registration Number
- NCT04584801
- Lead Sponsor
- Pneumacare Ltd
- Brief Summary
This is an observational, comparative, multicentre study to develop a model for the Thora3Di™ against standard practice in patients who are undergoing investigation for COPD. The core methodology involves capturing of data during a short period of measurement of breathing using SLP against spirometric outcomes.
- Detailed Description
This study will generate data to characterise the tidal breathing patterns and parameters with Thora-3Di™ against spirometry FEV1/FVC and %predicted. Subjects will have a Part A visit (Development Phase) to develop algorithms for COPD diagnosis. At Part A visit, subjects will have two 5-minute SLP measurements (Pre and Post bronchodilator). The SLP measurement should be performed prior to standard lung function tests with minimal impact on clinical time and no change to hospital attendance. Also, subjects will be asked to report concomitant medications and adverse events and fill in COPD assessment test (CAT™).
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 201
- Any adult (≥18 years old) who has been diagnosed with COPD guide GOLD criteria (FEV1/FVC ratio post bronchodilator <0.70)
- Healthy Smokers (≥35 years old, current or ex-smoker with a history of ≥10 pack years (20 cigarettes smoked per day for 10 year))
- Be unable to sit in an upright position for required period
- Have had deteriorated COPD symptoms since the last spirometry unless willing to undergo spirometry testing
- Have significant co-morbidities (i.e. Chest work or spinal deformity, OSA, AHI >30 secs
- Any other significant disease or disorder which, in the opinion of the investigator, may either put the participants at risk because of participation in the study, or may influence the result of the study, or the participants' ability to participate in the study
- Height > 194 cm
- BMI >40
- Female participant who is pregnant, lactating or planning pregnancy during the course of the study
- Be unable to consent or comply with the study protocol
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description COPD Patients Structured Light Plethysmography Development Phase Any adult (≥18 years old) who has been diagnosed with COPD guide GOLD criteria (FEV1/FVC ratio post bronchodilator \<0.70) * Cohort A (N=50): COPD stage 1 * Cohort B (N=50): COPD stage 2 * Cohort C (N=50): COPD stage 3 * Cohort D (N=50): COPD stage 4 Healthy Smoker Subjects Structured Light Plethysmography • Cohort E (N=50): Healthy Smokers (≥35 years old, current or ex-smoker with a history of ≥10 pack-years (20 cigarettes smoked per day for 1 year)
- Primary Outcome Measures
Name Time Method To develop a machine learning model to use SLP data in patients diagnosed with COPD or healthy smokers to predict historical spirometry results (within 6 months) or prospective spirometry results, and classify subjects according to COPD/non-COPD. 2 years The proportion of points falling between the upper and lower 95% CIs of the Bland-Altman plot of the average of FEV1/FVC spirometer values and the output from the model using the SLP parameters against the difference between the spirometer values and their SLP parameter model counterparts.
- Secondary Outcome Measures
Name Time Method To evaluate the safety of the Thora-3Di™ 2 years Incidence of adverse events while the SLP techniques are carried out.
Trial Locations
- Locations (7)
Buckinghamshire Healthcare NHS Trust - Stoke Mandeville Hospital
🇬🇧Aylesbury, United Kingdom
University Hospitals Birmingham NHS Foundation Trust
🇬🇧Birmingham, United Kingdom
Liverpool Heart and Chest Hospital
🇬🇧Liverpool, United Kingdom
Medway Community Healthcare
🇬🇧Gillingham, United Kingdom
Barts Health NHS Trust - the Royal London Hospital
🇬🇧London, United Kingdom
Oxford University Hospitals NHS Foundation Trust
🇬🇧Oxford, United Kingdom
Liverpool University Hospitals NHS Foundation Trust
🇬🇧Liverpool, United Kingdom