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Research in veterinary science2011; 93(2); 1006-1014; doi: 10.1016/j.rvsc.2011.10.024

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.
Copyright © 2011 Elsevier Ltd. All rights reserved.
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Publication Date: 2011-12-01 PubMed ID: 22136797DOI: 10.1016/j.rvsc.2011.10.024Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research explores the relationship between clinical, endoscopic, thoracic X-ray, and bronchoalveolar lavage fluid scores for accurately diagnosing and characterizing stages of recurrent airway obstruction (RAO) in horses.

Study Design and Methodology

  • The study involved 30 horses diagnosed with RAO and 10 healthy controls.
  • Clinical, endoscopic, thoracic X-ray, and bronchoalveolar lavage fluid (BALFS) scores were taken into consideration.
  • The researchers focused on specifically identifying correlation coefficients greater than 0.60 as significant.
  • A discriminant analysis model was used on the suggested RAO staging method.

Key Findings

  • The results showed a significant correlation coefficient between the clinical scores for cough, nostril flare, and abdominal lift, mucus endoscopic scores, X-ray scores for the interstitial pattern, bronchial radiopacity and thickening, tracheal thickening, and BALFS neutrophil percentages.
  • The variables that demonstrated significant correlation were chosen for the scoring model to characterize RAO stages.
  • The healthy controls were assigned stage 0, whereas the horses with RAO were assigned stages 1 to 4 based on the severity of their scores.
  • There was a significant correlation between the chosen variables and the RAO stages, reaffirming their relevance in the scoring model.

Implications and Conclusions

  • A discriminant analysis showed a high accuracy rate (92.5% for original grouped cases and 85.0% for cross-validated grouped cases), further confirming the contribution of these significant variables.
  • The significant correlation between the identified variables and RAO stages supports the creation of the proposed scoring model for characterizing RAO stages in horses.
  • The authors recommend that further confirmation by lung functional testing would be valuable in substantiating these findings.

Cite This Article

APA
Tilley P, Sales Luis JP, Branco Ferreira M. (2011). Correlation and discriminant analysis between clinical, endoscopic, thoracic X-ray and bronchoalveolar lavage fluid cytology scores, for staging horses with recurrent airway obstruction (RAO). Res Vet Sci, 93(2), 1006-1014. https://doi.org/10.1016/j.rvsc.2011.10.024

Publication

Research in veterinary science
ISSN: 1532-2661
NlmUniqueID: 0401300
Country: England
Language: English
Volume: 93
Issue: 2
Pages: 1006-1014

Researcher Affiliations

Tilley, P
  • Department of Clinics, Faculdade de Medicina Veterinária, Universidade Técnica de Lisboa, Avenida da Universidade Técnica, 1300 Lisboa, Portugal. paula_tilley@sapo.pt
Sales Luis, J P
    Branco Ferreira, M

      MeSH Terms

      • Airway Obstruction / diagnostic imaging
      • Airway Obstruction / pathology
      • Airway Obstruction / veterinary
      • Animals
      • Cough / veterinary
      • Horse Diseases / diagnostic imaging
      • Horse Diseases / pathology
      • Horses
      • Mucus
      • Pulmonary Disease, Chronic Obstructive / classification
      • Pulmonary Disease, Chronic Obstructive / diagnostic imaging
      • Pulmonary Disease, Chronic Obstructive / pathology
      • Pulmonary Disease, Chronic Obstructive / veterinary
      • Radiography
      • Respiratory Function Tests

      Citations

      This article has been cited 20 times.
      1. Padoan E, Ferraresso S, Pegolo S, Barnini C, Castagnaro M, Bargelloni L. Gene Expression Profiles of the Immuno-Transcriptome in Equine Asthma. Animals (Basel) 2022 Dec 20;13(1).
        doi: 10.3390/ani13010004pubmed: 36611613google scholar: lookup
      2. Cummings CO, Krucik DDR, Price E. Clinical predictive models in equine medicine: A systematic review. Equine Vet J 2023 Jul;55(4):573-583.
        doi: 10.1111/evj.13880pubmed: 36199162google scholar: lookup
      3. Simões J, Batista M, Tilley P. The Immune Mechanisms of Severe Equine Asthma-Current Understanding and What Is Missing. Animals (Basel) 2022 Mar 16;12(6).
        doi: 10.3390/ani12060744pubmed: 35327141google scholar: lookup
      4. Slowikowska M, Bajzert J, Miller J, Stefaniak T, Niedzwiedz A. The Dynamics of Circulating Immune Complexes in Horses with Severe Equine Asthma. Animals (Basel) 2021 Apr 2;11(4).
        doi: 10.3390/ani11041001pubmed: 33918401google scholar: lookup
      5. Vitale V, Bonelli F, Briganti A, Sgorbini M. Bronchoalveolar lavage fluid cytological findings in healthy Amiata donkeys. Open Vet J 2021 Jan-Mar;11(1):160-164.
        doi: 10.4314/ovj.v11i1.23pubmed: 33898298google scholar: lookup
      6. Couetil L, Cardwell JM, Leguillette R, Mazan M, Richard E, Bienzle D, Bullone M, Gerber V, Ivester K, Lavoie JP, Martin J, Moran G, Niedźwiedź A, Pusterla N, Swiderski C. Equine Asthma: Current Understanding and Future Directions. Front Vet Sci 2020;7:450.
        doi: 10.3389/fvets.2020.00450pubmed: 32903600google scholar: lookup
      7. White SJ, Moore-Colyer M, Marti E, Hannant D, Gerber V, Coüetil L, Richard EA, Alcocer M. Antigen array for serological diagnosis and novel allergen identification in severe equine asthma. Sci Rep 2019 Oct 23;9(1):15170.
        doi: 10.1038/s41598-019-51820-7pubmed: 31645629google scholar: lookup
      8. Sheats MK, Davis KU, Poole JA. Comparative Review of Asthma in Farmers and Horses. Curr Allergy Asthma Rep 2019 Oct 10;19(11):50.
        doi: 10.1007/s11882-019-0882-2pubmed: 31599358google scholar: lookup
      9. Varegg MS, Kløverød KM, Austnes MK, Siwinska N, Slowikowska M, Zak A, Niedzwiedz A. The effect of single pretreatment with salbutamol on recovery of bronchoalveolar lavage fluid in horses with suspected or confirmed severe equine asthma. J Vet Intern Med 2019 Mar;33(2):976-980.
        doi: 10.1111/jvim.15359pubmed: 30707780google scholar: lookup
      10. Barton AK, Schulze T, Doherr MG, Gehlen H. Influence of bronchoalveolar lavage on thoracic radiography in the horse. J Vet Sci 2018 Jul 31;19(4):563-569.
        doi: 10.4142/jvs.2018.19.4.563pubmed: 29486534google scholar: lookup
      11. Barton AK, Wirth C, Bondzio A, Einspanier R, Gehlen H. Are pulmonary hemostasis and fibrinolysis out of balance in equine chronic pneumopathies?. J Vet Sci 2017 Sep 30;18(3):349-357.
        doi: 10.4142/jvs.2017.18.3.349pubmed: 28057902google scholar: lookup
      12. Barton AK, Pelli A, Rieger M, Gehlen H. Procalcitonin as a biomarker in equine chronic pneumopathies. BMC Vet Res 2016 Dec 9;12(1):281.
        doi: 10.1186/s12917-016-0912-4pubmed: 27938364google scholar: lookup
      13. Barton AK, Shety T, Bondzio A, Einspanier R, Gehlen H. Metalloproteinases and Their Tissue Inhibitors in Comparison between Different Chronic Pneumopathies in the Horse. Mediators Inflamm 2015;2015:569512.
        doi: 10.1155/2015/569512pubmed: 26770019google scholar: lookup
      14. Niedzwiedz A, Jaworski Z. Oxidant-antioxidant status in the blood of horses with symptomatic recurrent airway obstruction (RAO). J Vet Intern Med 2014 Nov-Dec;28(6):1845-52.
        doi: 10.1111/jvim.12452pubmed: 25231643google scholar: lookup
      15. Niedzwiedz A, Jaworski Z, Tykalowski B, Smialek M. Neutrophil and macrophage apoptosis in bronchoalveolar lavage fluid from healthy horses and horses with recurrent airway obstruction (RAO). BMC Vet Res 2014 Jan 24;10:29.
        doi: 10.1186/1746-6148-10-29pubmed: 24460911google scholar: lookup
      16. Conley HE, Davis KU, Adler KB, Lavoie JP, Sheats MK. MARCKS protein is a potential target in a naturally occurring equine model of neutrophilic asthma. Respir Res 2025 Apr 2;26(1):126.
        doi: 10.1186/s12931-025-03194-wpubmed: 40176021google scholar: lookup
      17. Lendl L, Barton AK. Equine Asthma Diagnostics: Review of Influencing Factors and Difficulties in Diagnosing Subclinical Disease. Animals (Basel) 2024 Dec 4;14(23).
        doi: 10.3390/ani14233504pubmed: 39682469google scholar: lookup
      18. Meiseberg LK, Delarocque J, de Buhr N, Ohnesorge B. Clinical variability of equine asthma phenotypes and analysis of diagnostic steps in phenotype differentiation. Acta Vet Scand 2024 Sep 18;66(1):51.
        doi: 10.1186/s13028-024-00773-7pubmed: 39294710google scholar: lookup
      19. Simões J, Tilley P. Decision Making in Severe Equine Asthma-Diagnosis and Monitoring. Animals (Basel) 2023 Dec 16;13(24).
        doi: 10.3390/ani13243872pubmed: 38136909google scholar: lookup
      20. Simões J, Sales Luís JP, Madeira de Carvalho L, Tilley P. Severely Asthmatic Horses Residing in a Mediterranean Climate Shed a Significantly Lower Number of Parasite Eggs Compared to Healthy Farm Mates. Animals (Basel) 2023 Sep 15;13(18).
        doi: 10.3390/ani13182928pubmed: 37760328google scholar: lookup
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