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BMC veterinary research2013; 9; 9; doi: 10.1186/1746-6148-9-9

Reliability and identification of aortic valve prolapse in the horse.

Abstract: The objectives were to determine and assess the reliability of criteria for identification of aortic valve prolapse (AVP) using echocardiography in the horse. Results: Opinion of equine cardiologists indicated that a long-axis view of the aortic valve (AoV) was most commonly used for identification of AVP (46%; n=13). There was consensus that AVP could be mimicked by ultrasound probe malignment. This was confirmed in 7 healthy horses, where the appearance of AVP could be induced by malalignment. In a study of a further 8 healthy horses (5 with AVP) examined daily for 5 days, by two echocardiographers standardized imaging guidelines gave good to excellent agreement for the assessment of AVP (kappa>0.80) and good agreement between days and observers (kappa >0.6). The technique allowed for assessment of the degree of prolapse and measurement of the prolapse distance that provided excellent agreement between echocardiographers, days and observers (kappa/ICC>0.8). Assessments made using real-time zoomed images provided similar measurements to the standard views (ICC=0.9), with agreement for the identification of AVP (kappa>0.8). Short axis views of the AoV were used for identification of AVP by fewer respondents (23%), however provided less agreement for the identification of AVP (kappa>0.6) and only adequate agreement with observations made in long axis (kappa>0.5), with AVP being identified more often in short axis (92%) compared to long axis (76%). Orthogonal views were used by 31% of respondents to identify the presence of AVP, and 85% to identify cusp. Its identification on both views on 4 days was used to categorise horses as having AVP, providing a positive predictive value of 79% and negative predictive value of 18%. Only the non-coronary cusp (NCC) of the AoV was observed to prolapse in these studies. Prolapse of the NCC was confirmed during the optimisation study using four-dimensional echocardiography, which concurred with the findings of two-dimensional echocardiography. Conclusions: This study has demonstrated reliable diagnostic criteria for the identification and assessment of AVP that can be used for longitudinal research studies to better define the prevalence and natural history of this condition.
Publication Date: 2013-01-11 PubMed ID: 23311963PubMed Central: PMC3547808DOI: 10.1186/1746-6148-9-9Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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The research is about defining reliable criteria for identifying and assessing aortic valve prolapse (AVP) in horses using echocardiography. Two types of views, long-axis and short-axis, of the aortic valve were studied in this research and the impact of ultrasound probe misalignment was also assessed.

Objective and Methodology

  • The research aims to establish reliable criteria for the identification of aortic valve prolapse (AVP) in horses using echocardiography.
  • A survey was conducted among equine cardiologists for their opinions on the best method to identify AVG.
  • A study was also carried out on 15 healthy horses to observe how ultrasound probe alignment and the viewing axis could affect the identification of AVP.

Results and Findings

  • 46% of the cardiologists preferred using a long-axis view of the aortic valve (AoV) for identifying AVP as compared to 23% who preferred a short-axis view.
  • Ultrasound probe malalignment could mimic the appearance of AVP, as was confirmed through the study on 7 healthy horses.
  • Standardized imaging guidelines provided good to excellent agreement in the assessment of AVP with a kappa>0.80, and showed good agreement between days and observers with a kappa > 0.6.
  • Real-time zoomed images and standard views provided similar measurements and agreement in identifying AVP with an ICC=0.9 and kappa > 0.8
  • The short-axis view provided less agreement for AVP identification (kappa > 0.6) and was adequate at best when compared to the long-axis view (kappa > 0.5).
  • A positive predictive value of 79% and negative predictive value of 18% were achieved when both the views were used to identify AVP over 4 days.
  • Only the non-coronary cusp (NCC) of the AoV was found to prolapse in these studies.

Conclusions

  • The research has successfully demonstrated a reliable set of diagnostic criteria to identify and assess AVP in horses.
  • These criteria could potentially be used in future research to better understand the prevalence and natural history of AVP in horses.

Cite This Article

APA
Hallowell GD, Bowen M. (2013). Reliability and identification of aortic valve prolapse in the horse. BMC Vet Res, 9, 9. https://doi.org/10.1186/1746-6148-9-9

Publication

ISSN: 1746-6148
NlmUniqueID: 101249759
Country: England
Language: English
Volume: 9
Pages: 9

Researcher Affiliations

Hallowell, Gayle D
  • School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Sutton Bonington, Leicestershire, UK. gayle.hallowell@nottingham.ac.uk
Bowen, Mark

    MeSH Terms

    • Animals
    • Aortic Valve / diagnostic imaging
    • Aortic Valve Prolapse / diagnosis
    • Aortic Valve Prolapse / diagnostic imaging
    • Aortic Valve Prolapse / veterinary
    • Echocardiography / methods
    • Echocardiography / veterinary
    • Horse Diseases / diagnosis
    • Horse Diseases / diagnostic imaging
    • Horses
    • Male
    • Reproducibility of Results

    References

    This article includes 30 references

    Citations

    This article has been cited 3 times.
    1. Vernemmen I, Paulussen E, Dauvillier J, Decloedt A, van Loon G. Three-dimensional and catheter-based intracardiac echocardiographic characterization of the interatrial septum in 2 horses with suspicion of a patent foramen ovale. J Vet Intern Med 2022 Jul;36(4):1535-1542.
      doi: 10.1111/jvim.16451pubmed: 35635303google scholar: lookup
    2. Redpath A, Marr CM, Bullard C, Hallowell GD. Real-time three-dimensional (3D) echocardiographic characterisation of an atrial septal defect in a horse. Vet Med Sci 2020 Nov;6(4):661-665.
      doi: 10.1002/vms3.317pubmed: 32627406google scholar: lookup
    3. Reef VB, Bonagura J, Buhl R, McGurrin MK, Schwarzwald CC, van Loon G, Young LE. Recommendations for management of equine athletes with cardiovascular abnormalities. J Vet Intern Med 2014 May-Jun;28(3):749-61.
      doi: 10.1111/jvim.12340pubmed: 24628586google scholar: lookup