Cystic Fibrosis Clinical Trial
— RIGHT-CFOfficial title:
Using Remote Telemonitoring to Detect Early Decline in Lung Function & Streamline Clinics in Adults With Cystic Fibrosis
| Verified date | June 2017 |
| Source | Sheffield Teaching Hospitals NHS Foundation Trust |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
Lung Health research study (Development of a predictive model) - To determine whether the I-neb breathing parameters (flow data) can act as a surrogate marker for lung function (Forced Expiratory Volume in 1 second FEV1) hence allow early detection of decline in lung function in cystic fibrosis patients.
| Status | Completed |
| Enrollment | 50 |
| Est. completion date | March 1, 2017 |
| Est. primary completion date | March 1, 2017 |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 16 Years and older |
| Eligibility |
Inclusion Criteria: - Patients with a confirmed diagnosis of cystic fibrosis via genetic testing - Patients aged 16 and above - Patients using inhaled mucolytics (to loosen secretions) or antibiotic treatments via the I-neb for all or part of their treatment - Patients who have capacity to give informed consent Exclusion Criteria: - Patients with a lung transplant - Patients on the active transplant list - Patients who are pregnant (due to the variability of lung function during pregnancy) - Patients in the palliative end stage of their life - Patients using inhaled treatments with no objective adherence measure |
| Country | Name | City | State |
|---|---|---|---|
| United Kingdom | Northern General Hospital, Sheffield Teaching Hospitals NHS Foundation Trust | Sheffield | South Yorkshire |
| Lead Sponsor | Collaborator |
|---|---|
| Sheffield Teaching Hospitals NHS Foundation Trust |
United Kingdom,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | Forced Expiratory Volume in 1 second | The study will develop a predictive model and conduct a parallel service improvement project. It therefore does not have a specific primary outcome measure. The predictive model will be attempting to identify if there is a correlation between the I-neb breathing parameters (i.e. inhalation time, rest time) and lung function (Forced Expiratory Volume in 1 second FEV1). The clinic streaming will attempt to identify if the preclinic data (lung function, weight, adherence) can predict the clinic needs of a patient. | Baseline to 6 months |
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