Related Experiment Videos
Metered-dose inhaler to deliver methacholine in bronchial provocation testing: a pilot study
N Roche1, F El Husseini, S Labrune
1Laboratoire de Biologie et Pharmacologie des Epithéliums Respiratoires, Université de Paris René Descartes, Boulogne, France.
Chest
|June 19, 1998
Summary
A metered-dose inhaler (MDI) may simplify bronchial provocation tests for diagnosing bronchial hyperresponsiveness (BHR). This hand-held device accurately identified BHR, showing high concordance with traditional nebulizer tests.
Area of Science:
- Pulmonary Medicine
- Respiratory Physiology
- Diagnostic Testing
Background:
- Nonspecific bronchial provocation tests are crucial for diagnosing conditions like asthma.
- Current methods often rely on cumbersome nebulizer systems for methacholine delivery.
- Simplifying these tests with portable devices is desirable for clinical practice.
Purpose of the Study:
- To evaluate the feasibility of using a metered-dose inhaler (MDI) for methacholine delivery in bronchial provocation tests.
- To assess the accuracy of the MDI in diagnosing bronchial hyperresponsiveness (BHR).
Main Methods:
- An open, randomized crossover pilot study compared methacholine MDI delivery with a conventional nebulizer.
- The study involved 40 subjects (20 hyperresponsive, 20 nonhyperresponsive).
- The primary outcome was the provocative dose of methacholine causing a 20% fall in FEV1 (PD20 FEV1).
Main Results:
- The MDI test demonstrated high accuracy (97.5%) in diagnosing BHR when using a threshold of <800 microg.
- Results showed high concordance between the MDI and nebulizer methods for BHR diagnosis (Pearson chi2 = 36.19, p<0.0001).
- Nearly all subjects identified as hyperresponsive by nebulizer were also identified by the MDI.
Conclusions:
- A hand-held metered-dose inhaler (MDI) is a potentially suitable device for methacholine delivery in bronchial provocation testing.
- The MDI offers an accurate and convenient alternative for diagnosing bronchial hyperresponsiveness (BHR).
- Further validation in larger sample sizes is recommended to confirm these findings.