Literature DB >> 15006948

Analysis of tidal breathing profiles in cystic fibrosis and COPD.

Ric L Colasanti1, M Jocelyn Morris, Richard G Madgwick, Linda Sutton, E Mark Williams.   

Abstract

STUDY
OBJECTIVES: To explore the flow and time domain characteristics of resting tidal airflow profiles in the presence of obstructive airway disease.
METHODS: Spirometry was performed on 81 adults and 46 juveniles in the lung function laboratory. All the juveniles had cystic fibrosis (CF), as did some of the adults (n = 25), with the remainder having either healthy lungs or COPD. Resting breathing profiles were recorded using a pneumotachograph. Thirteen flow and time domain parameters were extracted from each profile. Two new indexes were derived that are influenced by the shape of the post-peak expiratory flow portion of the expirogram. In this expirogram, the first index (change in post-peak expiratory flow at time 20% [TPPEF(20)]) describes early changes in post-peak flow, while the second index (change in post-peak expiratory flow at time 80% [TPPEF(80)]) describes later changes in flow. Multiple linear regression techniques were used to define the relationship between body size, flow and time domain parameters, and FEV(1), a measure of obstructive airway disease.
RESULTS: In juvenile subjects with CF, body weight and the time to reach peak expiratory flow are the main correlates with FEV(1) (adjusted r(2) = 0.74). The adult CF group are different with the expiratory flow index (TPPEF(20)) being the major correlate with FEV(1) (adjusted r(2) = 0.77). In the COPD group, the second expiratory flow index (TPPEF(80)) is the major correlate instead (adjusted r(2) = 0.6).
CONCLUSIONS: Using multiple linear regression techniques has allowed the description of the interrelationships between body size, age, and tidal breathing profile in obstructive airway disease. The relationship between the flow indexes TPPEF(20) and TPPEF(80) show that in adults with CF, the loss of expiratory flow braking is an important adaptation to disease, while in COPD pulmonary hyperinflation is the predominant factor.

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Mesh:

Year:  2004        PMID: 15006948     DOI: 10.1378/chest.125.3.901

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  7 in total

1.  A pilot study quantifying the shape of tidal breathing waveforms using centroids in health and COPD.

Authors:  E M Williams; T Powell; M Eriksen; P Neill; R Colasanti
Journal:  J Clin Monit Comput       Date:  2013-07-24       Impact factor: 2.502

2.  Ventilatory capacity and its utilisation during exercise.

Authors:  Jamie Kift; Edgar Williams
Journal:  Lung       Date:  2008-07-03       Impact factor: 2.584

3.  Automatic breath-to-breath analysis of nocturnal polysomnographic recordings.

Authors:  P J van Houdt; P P W Ossenblok; M G van Erp; K E Schreuder; R J J Krijn; P A J M Boon; P J M Cluitmans
Journal:  Med Biol Eng Comput       Date:  2011-03-30       Impact factor: 2.602

4.  Reducing the airflow waveform distortions from breathing style and body position with improved calibration of respiratory effort belts.

Authors:  Tiina M Seppänen; Olli-Pekka Alho; Tapio Seppänen
Journal:  Biomed Eng Online       Date:  2013-09-28       Impact factor: 2.819

5.  Evaluation of the agreement of tidal breathing parameters measured simultaneously using pneumotachography and structured light plethysmography.

Authors:  Shayan Motamedi-Fakhr; Richard Iles; Anna Barney; Willem de Boer; Jenny Conlon; Amna Khalid; Rachel C Wilson
Journal:  Physiol Rep       Date:  2017-02

6.  Classification of Tidal Breathing Airflow Profiles Using Statistical Hierarchal Cluster Analysis in Idiopathic Pulmonary Fibrosis.

Authors:  E Mark Williams; Ricardo Colasanti; Kasope Wolffs; Paul Thomas; Ben Hope-Gill
Journal:  Med Sci (Basel)       Date:  2018-09-12

7.  A Novel Approach to the Identification of Compromised Pulmonary Systems in Smokers by Exploiting Tidal Breathing Patterns.

Authors:  Raj Rakshit; Anwesha Khasnobish; Arijit Chowdhury; Arijit Sinharay; Arpan Pal; Tapas Chakravarty
Journal:  Sensors (Basel)       Date:  2018-04-25       Impact factor: 3.576

  7 in total

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