A Novel Method for Non-Invasive Respiratory Function Assessment in Dogs with Brachycephalic Obstructive Airway Syndrome
World Small Animal Veterinary Association World Congress Proceedings, 2014
N. Liu1; V.J. Adams2; D.R. Sargan1; J.F. Ladlow1
1Department of Veterinary Medicine, University of Cambridge, Cambridge, UK; 2Veterinary Epidemiology Consulting, Suffolk, UK


Brachycephalic obstructive airway syndrome (BOAS) develops in a proportion of short-muzzled dogs, who suffer respiratory problems as a result of skull malformation. Current diagnostic methods for BOAS are subjective due to the wide range in type and severity of its clinical signs. Unrestrained whole-body barometric plethysmography (WBBP) is a method for quantitative measurement of ventilation, providing objective parameters to assess respiratory function.


Here we investigate the ability of WBBP measurements to distinguish, in French bulldogs, absence/minimal BOAS from moderate/severe BOAS.


Forty-two French bulldogs and twenty non-brachycephalic controls underwent a 30–minute WBBP test while unsedated and at rest. A clinical grading system for BOAS was used to grade each dog. Statistical analyses including quadratic discriminant analysis (QDA) were used to derive the best classifier for use of WBBP as a clinical test.


Whole-body barometric plethysmography flow waveform characteristics were significantly different between non-brachycephalic controls, absence/minimal BOAS French bulldogs, and moderate/severe BOAS French bulldogs. Compared to non-brachycephalic controls, French bulldogs display a significantly lower expiratory time/inspiratory time (Te/Ti) and higher peak expiratory flow rate/peak inspiratory flow rate (PEF/PIF). Means and variance of PEF/PIF and minute ventilation/body weight (MV/BW) were shown to be sensitive indicators of moderate/severe BOAS. Quadratic discriminant analysis clearly discriminates absent/minimal BOAS from moderate/severe BOAS, with the sensitivity, specificity, and classification accuracy at 95.45%, 100%, and 97.62%, respectively.


The application of advanced computational techniques to WBBP carries significant promise as a clinical diagnostic tool for objective BOAS diagnosis, treatment planning, patient follow-up, and breeding selection.


Speaker Information
(click the speaker's name to view other papers and abstracts submitted by this speaker)

N. Liu
Department of Veterinary Medicine
University of Cambridge
Cambridge, UK

MAIN : Oral Abstracts : Respiratory Function Assessment
Powered By VIN