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The establishment of specific reference intervals (RIs) is advisable when different metabolic conditions in the patient population are present or when existing RIs are not suitable. Holstein dairy cows, at the start of lactation, experience a negative energy balance and an altered immune function that can lead to different levels of blood parameters compared with cows at peak lactation. The aim of this study was the determination of RIs for Holstein cows at 3±1 and 30±3days in milk. To this aim, 145 cows, from 4 herds, were sampled. A wide panel of hematological and biochemical analytes was determined, as well as the measurement of markers of inflammation/oxidation. RIs were generated following the American Society of Veterinary Clinical Pathology (ASVCP) guidelines and the effects of lactation period, parity, herd and day of sampling were determined. Data from 39 out of 52 analytes were significantly different according to lactation period. Data of 13 out of 52 analytes were not significantly different between the two groups. Some differences were also recorded between herds and parity groups but the adoption of specific RIs for these subgroups, however, has practical limitations. In conclusion the use of RIs specific for the lactation period is highly justified from both a statistical and a biological point of view. Pre-analytical factors associated with parity or management need to be considered in the evaluation of results of some analytes.

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The objective of this study was to assess the association between individual metabolic diseases (MD) and multiple MD (MD+) in the transition period (±3 wk relative to calving) and the culling risk in the first 120 d in milk (DIM) in Holstein-Friesian dairy cows. Health records from a transition management facility in Germany with 1,946 calvings were analyzed in a 1-yr cohort via survival analysis and a decision tree model. The recorded MD were milk fever (MF), retained placenta (RP), metritis (METR), ketosis (KET), displaced abomasum (DA), twinning (TWIN), and clinical mastitis (MAST). The overall culling within 120 DIM was 18%. The 120 DIM culling risk for healthy cows (64.8% of the total) was 13%, whereas it was 25% for MD (24.5%) and 33% for MD+ (10.7%) cows. The 120 DIM culling risk (%) for each MD and MD+, respectively, was 34.6 and 48 for MF and MF+, 15 and 31.5 for RP and RP+, 9.4 and 22.2 for METR and METR+, 30.7 and 37.3 for KET and KET+, 56.1 and 46.8 for DA and DA+, 30.3 and 34 for TWIN and TWIN+, and 36.6 and 27.8 for MAST and MAST+. Moreover, the incidence risk (%) for each MD and MD+, respectively, was 4 and 2.6 for MF and MF+, 1 and 2.8 for RP and RP+, 8.7 and 6 for METR and METR+, 4.5 and 6.1 for KET and KET+, 0.8 and 2.4 for DA and DA+, 1.7 and 2.7 for TWIN and TWIN+, and 3.6 and 1.8 for MAST and MAST+. Setting the healthy cows as the referent, the 120 DIM hazard ratios (HR) for culling were MD 2.1, MD+ 2.9, MF 3.3, MF+ 4.6, RP+ 2.7, METR+ 1.8, KET 2.6, KET+ 3.3, DA 5.5, DA+ 4.5, TWIN 2.8, TWIN+ 3.0, MAST 3.1, and MAST+ 2.3. According to both decision tree and random forest analyses, MF was the most significant disease influencing survival, followed by DA, MAST, METR, and TWIN. In conclusion, the presence of MD or MD+ during the transition period was associated with increased culling risk in the first 120 DIM. The culling hazard was greater when an MD was complicated with another MD. In this study performed in a well-managed large farm, uncomplicated cases of RP (HR = 1.2) and METR (HR = 0.7) did not have an influence on the 120 DIM culling risk. Interestingly, both decision tree and random forest analyses pointed to MF and DA as main culling reasons in the first 120 DIM in the present dairy herd.

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The aim of this study was to compare the plasma profiles of 15-ketodihydro-PGF(2α) (PGM) in healthy neonates of three different species from birth until the third week of life. Twenty-four horse foals, 12 donkey foals, and 9 calves were studied. Blood samples were collected at 10, 20 and 30 min after birth, at 3, 24 and 72 h after birth, and at 7, 10, 17 and 21 days of life. All mothers experienced normal gestation lengths and normal, spontaneous deliveries. All newborns were judged mature and viable. Hormone concentrations were higher (p < 0.05) in horse foals 20 and 30 min after birth compared to later samples, and at 10 min in donkey foals compared to later samples (p < 0.05). In calves, higher (p < 0.05) concentrations of PGM were observed 10, 20, 30 min and 3 hours from parturition compared to later samples. These findings may be related to increased fetal placental unit production during parturition, while the relatively high PGF(2α) levels in the days after parturition may be connected with their role in completing organ maturation. Despite the existing differences between these species, the statistical analysis did not discover significant differences in PGM profiles during the first 3 weeks of life in donkey, horse and cattle newborns. The low levels observed 10 days after birth are possibly due to a fast completion of maturational development in these species.

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