02402naa a2200241 a 450000100080000000500110000800800410001902400360006010000160009624501560011226000090026850001040027752014270038165300160180865300240182465300420184865300180189065300230190870000180193170000330194970000180198277301600200010626342022-01-14 2022 bl uuuu u00u1 u #d7 a10.1007/s11250-021-03039-w2DOI1 aMEDEROS, A. aPerformance of bovine genital campylobacteriosis diagnostic tests in bulls from Uruguayba Bayesian latent class model approach.h[electronic resource] c2022 aArticle History: Received: 19 July 2021 / Accepted: 16 December 2021 / Published: 30 December 2021. aThe sensitivity (Se) and specificity (Sp) of three diagnostic tests for the detection of Campylobacter fetus venerealis (Cfv) using field samples were estimated using a Bayesian latent class model (BLCM), accounting for the absence of a gold standard. The tests included in this study were direct immunofluorescence antibody test (IFAT), polymerase chain reaction (PCR), and real-time PCR (RT-PCR). Twelve farms from two different populations were selected and bull prepuce samples were collected. The IFAT was performed according to the OIE Manual. The conventional PCR was performed as multiplex, targeting the gene nahE for C. fetus species identification and insertion element ISCfe1 for Cfv identification. The RT-PCR was performed as uniplex: one targeting the gene nahE for C. fetus and the other targeting the insertion ISCfe1 (ISC2) for Cfv. Results from the BLCM showed a median Se of 11.7% (Bayesian credibility interval (BCI): 1.93?29.79%), 53.7% (BCI: 23.1?95.0%), and 36.1% (BCI: 14.5?71.7%) for IFAT, PCR, and RT-PCR respectively. The Sp were 94.5% (BCI: 90.1?97.9%), 97.0% (BCI: 92.9?99.3%), and 98.4% (BCI: 95.3?99.7%) for IFAT, PCR, and RT-PCR respectively. The correlation between PCR and RT-PCR was positive and low in samples from both sampled population (0.63% vs 8.47%). These results suggest that diagnostic sensitivity of the studied tests is lower using field samples than using pure Cfv strains. aBEEF CATTLE aCAMPYLOBACTER FETUS aCampylobacter fetus subsp. venerealis aFIELD SAMPLES aLATENT CLASS MODEL1 aGALARRAGA, D.1 aVAN DER GRAAF-VAN BLOOIS, L.1 aBUCZINSKI, S. tTropical Animal Health and Production, February 2022, volume 54, Article Number 32, pages 1-9. OPEN ACCESS. doi: https://doi.org/10.1007/s11250-021-03039-w