Bayesian accuracy estimates and fit for purpose thresholds of cytology and culture of endometrial swab samples for detecting endometritis in mares.
Abstract: The overall aim of this work was to identify the potential impact of misclassification errors associated with routine screening and diagnostic testing for endometritis in mares. Using Bayesian latent class models (BLCM), specific objectives were to: 1) estimate the diagnostic accuracy of cytology and culture of endometrial swab samples to detect endometritis in mares; 2) assess the impact of different cytology thresholds on test accuracy and misclassification costs; and 3) assess the sensitivity (Se) and specificity (Sp) of a diagnostic strategy including both tests interpreted in series and parallel. Diagnostic and pre-breeding endometrial swab samples collected from 3448 mares based at breeding premises located in the South East of England between 2014 and 2020 were retrospectively analysed. Culture results were classified as positive according to three different case definitions: (A) > 90% of the growth colonies were a monoculture; (B) pathogenic or pathogenic and non-pathogenic bacteria were identified; and (C) any growth was observed. Endometrial smears were graded based on the percent of polymorphonuclear cells (PMN) per high power field (HPF). A hierarchical BLCM was fitted using the cross-tabulated results of the three culture case definitions with a cytology threshold fixed at > 0.5% PMN. Fit for purpose cytology thresholds were proposed using a misclassification cost analysis in the context of good antimicrobial stewardship and for varying endometritis prevalence estimates. Median [95% Bayesian credible intervals (BCI)] cytology Se estimates were 6.5% (2.2-11.6), 6.4% (2.2-10.8) and 6.3% (2.2-10.8) for scenario A, B and C, respectively. Median (95% BCI) cytology Sp estimates were 88.8% (83.1-94.8), 88.9% (83.9-93.8) and 88.8% (84.0-93.8) for scenarios A, B and C, respectively. Median (95% BCI) culture Se estimates were 37.5% (29.9-46.0), 42.3% (33.8-51.1) and 46.4% (35.7-55.9) for scenarios A, B and C, respectively. Median (95% BCI) culture Sp estimates were 92.8% (84.3-99.0), 91.5% (82.5-98.0) and 90.8% (80.1-97.4) for scenarios A, B and C, respectively. Regardless of the culture case definition, Se and Sp of cytology (> 0.5% PMN) was lower than previously reported for swab samples in studies using histology as the reference standard test. The misclassification cost term decreased as the cytology threshold increased for all scenarios and all prevalence contexts, suggesting that, regardless of the endometritis prevalence in the population, increasing the cytology threshold would reduce the misclassification costs associated with false positive mares contributing to good antimicrobial stewardship.
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Publication Date: 2022-10-20 PubMed ID: 36306641DOI: 10.1016/j.prevetmed.2022.105783Google Scholar: Lookup
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Summary
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This research sought to analyse the effectiveness and potential inaccuracies in testing for endometritis in horses. The primary tools of examination were endometrial swab samples, and the methods included cytology and culture tests. The aim was to understand the diagnostic accuracy of these methods, assess their impact and establish measures for suitable thresholds.
Research Objectives and Methodology
- The goal of this study was to ascertain the consequences of misdiagnosis in the regular screening and testing for endometritis in mares by using Bayesian Latent Class Models (BLCM).
- The paper sought to determine the diagnostic precision of cytology and culture of endometrial swab samples, to weigh the effects of different cytology thresholds on test accuracy and misdiagnosis costs, and to gauge the sensitivity and specificity of a diagnostic approach incorporating these tests.
- Data for the study was gathered retrospectively from software recordings of swab samples taken from mares for diagnostic or pre-breeding purposes, based in South East England from 2014 to 2020. The research involved a total of 3,448 mares.
- To classify the culture results as positive, the researchers used three different case definitions. They also graded endometrial smears based on the percentage of polymorphonuclear cells (PMN) per high power field (HPF). By employing the use of BLCM, the researchers analysed the collective results of the three culture case definitions with a cytology threshold preset at > 0.5% PMN.
Findings and Conclusions
- The study concluded that sensitivity of cytology results varied marginally between different scenarios, with values falling notably below those of previous reports that used histology as the standard test.
- Specificity estimates varied at a greater rate but were comparably high across all scenarios, showing the tests’ high potential to rightly identify a healthy mare.
- The sensitivity of culture tests showed a continuous increase across the scenarios, indicating that these tests were more likely to correctly identify mares with endometritis. The specificity estimates showed a descending trend across the scenarios, however, they resided at a high range similar to the cytology results, showing their high potential to rightly identify a healthy mare.
- Across all scenarios and endometritis prevalence contexts, increasing the cytology threshold reduced the misclassification costs associated with false positives, thereby contributing to better antimicrobial stewardship.
- The research, therefore, suggested some limitations in the procedures of testing for endometritis in mares. It showed that raising the cytology threshold could improve diagnostic performance and minimize the costs of misclassification, thus assisting the better management of antimicrobial stewardship.
Cite This Article
APA
Scott CJ, de Mestre AM, Verheyen KL, Arango-Sabogal JC.
(2022).
Bayesian accuracy estimates and fit for purpose thresholds of cytology and culture of endometrial swab samples for detecting endometritis in mares.
Prev Vet Med, 209, 105783.
https://doi.org/10.1016/j.prevetmed.2022.105783 Publication
Researcher Affiliations
- Rossdales Veterinary Surgeons, Beaufort Cottage Stables, Newmarket, Suffolk, United Kingdom.
- Department of Comparative Biomedical Sciences, The Royal Veterinary College, University of London, Hertfordshire, United Kingdom.
- Department of Pathobiology and Population Sciences, The Royal Veterinary College, University of London, Hertfordshire, United Kingdom.
- Department of Pathobiology and Population Sciences, The Royal Veterinary College, University of London, Hertfordshire, United Kingdom; Département de pathologie et microbiologie, Faculté de médecine vétérinaire, Université de Montréal, Saint-Hyacinthe, Québec, Canada. Electronic address: juan.carlos.arango.sabogal@umontreal.ca.
MeSH Terms
- Horses
- Animals
- Female
- Endometritis / diagnosis
- Endometritis / veterinary
- Endometritis / microbiology
- Retrospective Studies
- Bayes Theorem
- Horse Diseases / diagnosis
- Horse Diseases / epidemiology
- Horse Diseases / microbiology
- Endometrium
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