Respiratory microbiome and clinical data analysis for the prediction of acute exacerbations in COPD
- Conditions
- chronic lung disease with persistent narrowing of the airwaysChronic Obstructive Pulmonary Disease (COPD)10038716
- Registration Number
- NL-OMON51796
- Lead Sponsor
- niversiteit Maastricht
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Pending
- Sex
- Not specified
- Target Recruitment
- 150
Inclusion Criteria
Age >= 18 years
Written informed consent
Physician-confirmed diagnosis of COPD (spirometry) (FEV1<= 80% predicted)
Smoking history: Min. 10 packyears
Exclusion Criteria
Inability to understand the nature, scope, and possible consequences of the
study
Life expectancy of less than 12 months
Newly diagnosed active pulmonary tuberculosis within the last 12 months
Unstable cardiopulmonary or metabolic co-morbidities
Macrolide maintenance treatment
Study & Design
- Study Type
- Observational invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method <p>Accuracy of risk assessment for the prediction of acute exacerbations of COPD<br /><br>based on microbiological and clinical analyses</p><br>
- Secondary Outcome Measures
Name Time Method <p>- Composition of the respiratory microbiota in patients with COPD and relation<br /><br>to exacerbation history and clinical parameters<br /><br>- Compositional clustering of respiratory microbiota in relation to disease<br /><br>phenotype<br /><br>- Research changes/shifts in the respiratory microbiota in patients with COPD<br /><br>in the stable phase, during exacerbation and recovery </p><br>