Assessment of different diagnostic methods for the identification of subclinical endometritis in dairy cows with pathological puerperium and their reliability to conceive

Abstract The aim of study was to evaluate different methods for subclinical endometritis (SCE) diagnoses and their accuracy predict pregnancy. performed on 51 postpartum cross breed dairy cows with pathological puerperium. Artificial insemination (AI) done in spontaneous estrus. Endometrium samples were taken by cytotape (CT), cervical mucus (CM) Metricheck smears crystallization degree obtained at AI day. Blood serum progesterone (P4) concentration determination day 17 days later. Cows examined ultrasound 35 after confirm Percent (%) polymorphnuclear leukocytes (PMNs) CT expressed ROC curve (with cut-off point set 1%). Out the total involved study, 13.73% true positive 41.17% negative found (54.90%). content CM sampled altered 11 (21.57%), one them pregnant (1.96%). An average macroscopic value 0.06±0.24 vs. 0.39±0.79 non-pregnant (p<0.05). 2.50±1.04 1.85±1.15 P4 not statistically day, but significantly higher later (p = 0.002). alterations may be a reliable diagnostic tool SCE diagnosis, while used CE detection. is beneficial pregnancy diagnosis helpful best time AI.