Correlation and discriminant analysis between clinical, endoscopic, thoracic X-ray and bronchoalveolar lavage fluid cytology scores, for staging horses with recurrent airway obstruction (RAO)

Abstract

As recurrent airway obstruction (RAO) is progressive and as medical history is frequently unknown by owners, it’s important to suggest a score model to characterize RAO stages for a more accurate diagnosis and treatment. The authors correlated clinical (CS), endoscopic (ES), thoracic X-ray (XRS) and bronchoalveolar lavage fluid (BALFS) scores in horses with RAO, in an attempt to establish relevance of each factor’s contribution for the characterization of RAO stages and to suggest a staging method. Thirty horses with RAO and ten healthy controls were studied. Pearson correlation coefficients were determined between CS, ES, XRS and BALFS. Only significant correlation coefficients (>0.60) were considered. One way variance analyses were used to compare the two groups. A discriminant analysis model was adjusted on the RAO staging method suggested. There was a significant correlation coefficient between the CS cough, nostril flare and abdominal lift, all the mucus ES (0.61–0.84), the XRS interstitial pattern, bronchial radiopacity and thickening and tracheal thickening (0.67–0.78) and the BALFS neutrophil percentages (0.63–0.84). These variables (e.g., cough) which presented a significant correlation coefficient were considered relevant and chosen for a score model to characterize RAO stages. The ten healthy controls were attributed stage 0 and the 30 RAO horses were attributed stages 1 (4 horses), 2 (7 horses), 3 (10 horses) and 4 (9 horses). There was also a significant correlation coefficient between all the relevant variables and the RAO stage (0.61–0.89). Furthermore, discriminant analysis of the RAO staging method showed 92.5% of original grouped cases and 85.0% of cross-validated grouped cases correctly classified, having confirmed major contribution of the same variables that had significant correlation coefficients. Even though further confirmation by lung functional testing is desirable, the significant correlation between relevant variables and RAO stage and the results of RAO staging discriminant analysis support the suggestion of our score model for the characterization of RAO stages.