Review of diagnostic signs of postpartum uterine diseases in dairy cows by the help of catus database

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Bettina Póth-Szebenyi
Henrietta Nagyné Kiszlinger
József Stefler
Orsolya Varga-Balogh
László Kern
György Gábor

Abstract

Postpartum (PP) reproduction anomalies (increased calving interval and semen doses, pregnancy loss, infertility culling rate) are mostly caused by postpartum uterine diseases. The aim of this study was to find diagnostic symptoms (signs) help in identifying animals having possible subclinical endometritis. As a logical first step, analyzing a database with several thousand transrectal postpartum palpations and ultrasonic findings of the genital tract and production data of dairy cows (CATUS) seemed reasonable. Healthy (H) cows and animals with clinical endometritis (CE) both are in this database. We thought that statistical analysis of large amount of H and CE animals’ data should help in identifying signs or reasonable suspicion for recognizing cows with subclinical endometritis (SCE) in the future as well. During this work palpation and ultrasound data of healthy and CE cows were compared. Totally, data of 10683 cows were evaluated by chi-square test. These results show distinct differences in distribution of uterine size (volume) and ovarian phenomena in the two groups. As a sign of inappropriate involution large-sized uterus (32.9 % vs. 64.9 %) and uterine fluid content (6.1 % vs. 31.1 %) were significantly higher (p<0.0001) in CE group. Abnormal ovarian ovulatory phenomena (corpus luteum /CL/ with cavity: 8.0 % vs. 13.1 %; or cystic CL: 4.2 % vs. 27.4 %) also were detected in significantly higher numbers in animals with CE signs (p<0.0001). These results induce further examinations to compare them with SCE animals’ data for identifying diagnostic signs which are typical for the examiners.

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Póth-Szebenyi, Bettina, Henrietta Nagyné Kiszlinger, József Stefler, Orsolya Varga-Balogh, László Kern, and György Gábor. 2023. “Review of Diagnostic Signs of Postpartum Uterine Diseases in Dairy Cows by the Help of Catus Database”. Review on Agriculture and Rural Development 12 (3-4):104-10. https://doi.org/10.14232/rard.2023.3-4.104-110.
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