Identification of the optimal diagnostic criteria combination for reproductive tract diseases in dairy cows of 100 days in milk or more.

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This study identified a discharge score of ≥2 and an esterase score of ≥0.5 as the optimal criteria for diagnosing purulent vaginal discharge and endometritis, respectively, in dairy cows over 100 days in milk.

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Abstract

The objective of this study was to determine the optimal diagnostic criteria combination for purulent vaginal discharge (PVD) and endometritis (ENDO) in cows ≥100 DIM to predict the probability of pregnancy. A prospective observational study was conducted in 24 commercial Holstein herds selected by convenience. Cows ≥100 DIM identified as nonpregnant by veterinarians were systematically enrolled in the study and were examined with a Metricheck device (discharge) and a cytobrush device combined with a leukocyte esterase test. No reproductive tract treatments were allowed and cows were systematically enrolled on an ovulation synchronization protocol and inseminated. Data from 1,064 reproductive tract examination events from 918 different Holstein cows were included. Diagnostic criteria combinations of discharge score and esterase score were used to identify PVD and ENDO, respectively. Combinations were compared using mixed logistic regression models accounting for diagnostic criteria (PVD and ENDO), DIM, parity, and season, as well as herd and cow clustering as random effects. The optimal diagnostic criteria combination was chosen based on the variation explained when these thresholds were included in a model (lowest Akaike information criterion; AIC), and their ability to predict pregnancy status (highest area under the receiver operating characteristic curve; AUC). The lowest AIC (1,021) and highest AUC (0.898) were obtained with a combination of a discharge score ≥2 (flecks of pus or worse) for PVD and an esterase score ≥0.5 (trace of leukocytes or worse) for ENDO. Based on these criteria, the proportions of PVD and ENDO were 21.5% and 37.8%, respectively. The overall probability pregnancy at artificial insemination was 30.7%; it was higher in unaffected cows than in cows with reproductive tract diseases. In conclusion, the optimal diagnostic criteria combination for cows ≥100 DIM was a discharge score ≥2 for PVD and a esterase score ≥0.5 for ENDO, and cows with PVD or ENDO had poorer reproductive success than unaffected cows.
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This project was supported financially by Merck Animal Health (Kirkland, QC, Canada), the “Fonds de Recherche du Québec–Nature et Technologies” (Québec, QC, Canada), the “Réseau Québécois en Reproduction” (Université de Montréal, St-Hyacinthe, QC, Canada), and the “Fonds Zoetis de recherche clinique” of the Bovine Ambulatory Clinic (Université de Montréal, St-Hyacinthe, QC, Canada). The authors thank Jean-Philippe Pelletier (St-Hyacinthe, QC, Canada) for his technical work as well as the participating farms for their contribution to this study. The authors also express gratitude to Guy Boisclair (Victoriaville, QC, Canada) for his continuous support to the development of innovative procedures for veterinary practitioners. The study was approved by the Animal Care Committee of the Université de Montréal (20-Rech-2061). Author JDR was hired as an independent researcher for her participation in this project. The authors have not stated any conflicts of interest. Nonstandard abbreviations used: AI = artificial insemination; AUC = area under the receiver operating characteristic curve; AIC = Akaike information criterion; ENDO = endometritis; P/AI = pregnancy per AI; PVD = purulent vaginal discharge.

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