The Mixed Phenotype of Asthma and COPD: the Overlap Syndrome
- Disease/Condition
- Asthma,COPD
- Study type
- Observational
- Primary sponsor
- Laval University
- Location
- Quebec, Canada
- Phase
- N/A
- Start date
- Mar 01, 2014
- End date
- Dec 01, 2017
- Enrollment
- 115 participants
Total asthma control questionnaire (ACQ) score
RATIONALE:
 
 In asthmatic subjects, smoking can lead to several changes in disease characterictics. in
 smokers of more than 20 pack-years, chronic obstructive pulmonary disease (COPD) can be
 associated with asthma, also called asthma-COPD overlap syndrome (ACOS). Increasing data
 support the concept that ACOS is a clinical entity. However, this should be further studied
 in order to better target therapy.
 
 AIM:
 
 The objective of this study is to evaluate the comparative features of ACOS
 
 METHODS:
 
 This will be a descriptive study comparing the features of the ACOS with the features of
 asthmatic subjects with an incomplete reversibility of airway obstruction (IRAO).The study
 will be done over 1 or 2 visits (within a week interval), according to subjects'
 availability. The visit will include completion of different questionnaires (asthma control
 asthma quality of life, medical history, exacerbations, etc.), a thoracic examination,
 allergy skin-prick tests, spirometry and bronchodilator response, lung volumes and compliance
 measurements, exhaled nitric oxide measurement, blood sampling and a sputum induction.
- Registry
- ClinicalTrials.gov
- Trial ID
- NCT03817333
- Type
- Non-Device Trial
Access comprehensive clinical trial information for NCT03817333 through Pure Global AI's free database. This phase not specified trial is sponsored by Laval University and is currently Completed. The study focuses on Asthma,COPD. Target enrollment is 115 participants.
This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.