Document Detail

Acute bronchodilation increases ventilatory complexity during resting breathing in stable COPD: toward mathematical biomarkers of ventilatory function?
MedLine Citation:
PMID:  22999916     Owner:  NLM     Status:  Publisher    
Human tidal breathing features mathematical complexity and breath-by-breath variability. Fluctuations in these descriptors from one state to another are related to the load imposed on the respiratory system. We hypothetized that bronchodilators would increase ventilatory complexity and variability in patients suffering from chronic obstructive pulmonary disease (COPD). Eleven patients with stable COPD (9 men; age 48-79; FEV1 42-80%; FRC above 120%) were studied before and after 400μg salbutamol. Breath-by-breath variability (coefficient of variation of tidal volume and breathing frequency -f-) and ventilatory complexity (noise limit -NL-, a quantifier of nonlinearity and complexity; largest Lyapunov exponent -LLE-, an indicator of the sensitivity of the system to initial conditions) were described. Acute bronchodilation revealed or increased nonlinearity (NL 31% [20-38] to 43% [35-58], P=0.0051). Little changes in variability were observed (increased coefficient of variation of f). These observations might open new avenues toward resting breathing pulmonary function testing and novel respiratory biomarkers suitable for home-based lung disease monitoring.
Marion Teulier; Marie-Noëlle Fiamma; Christian Straus; Thomas Similowski
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-9-19
Journal Detail:
Title:  Respiratory physiology & neurobiology     Volume:  -     ISSN:  1878-1519     ISO Abbreviation:  Respir Physiol Neurobiol     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-9-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101140022     Medline TA:  Respir Physiol Neurobiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012. Published by Elsevier B.V.
Université Paris 6 Pierre et Marie Curie, ER10upmc, 91 Bd de l'Hôpital, 75013 Paris, France. Electronic address:
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