uterine inertia
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2022 ◽  
Vol 82 ◽  
Author(s):  
K. R. Jones ◽  
K. R. Lall ◽  
G. W. Garcia

Abstract Reproductive diseases have been well documented in domestic livestock such as sheep, goat, cattle and pigs. However, there is very little information on these diseases in the agouti (Dasyprocta leporina). The agouti is used for its meat in South America and the Caribbean. More recently, intensive farming of this animal is being practiced in the Neotropics. There is dearth of information on dystocia and vaginal prolapses in the agouti. This document reports on three cases of reproductive diseases in captive reared agoutis in Trinidad and Tobago. The first case was a female agouti weighing approximately 3 kg that was in the last stage of pregnancy, which was found dead in its cage. The vulva of the mother had the protruding hind-limbs of the fetus. Necroscopic evaluation of carcass revealed little fat tissue and the mother had two fetuses in the right horn of the uterus. Each fetus weighed approximately 200 g. The fetuses were well formed with fur, teeth and eyes. The placenta was attached to each fetus. The pathological findings suggested that dystocia resulted from secondary uterine inertia which was the cause of death of the adult female agouti. The second case was that of an adult female agouti weighing 2.5 kg. This female had given birth to an offspring three weeks prior and was observed to have had a vaginal prolapse. Surgery was performed and the prolapsed vagina was placed back into the pelvic cavity. Further to this intervention, the vagina prolapsed twice. Subsequent to the re-insertion of the vaginal tissue the agouti was euthanized. The third case was also that of a dystocia. However, the fetuses weighed 235 g and 165 g respectively and were in normal presentation, posture and positioning. The fetus however was unable to pass via the vagina and was trapped in the pelvic cavity. This caused secondary uterine inertia which was the cause of death. The causes of reproductive diseases in these cases are unknown but the feeding management and space allowance given to the agouti in late gestation may be contributing factors.


2021 ◽  
Vol 70 (5) ◽  
pp. 63-72
Author(s):  
Viktor A. Mudrov ◽  
Anna V. Yakimova

BACKGROUND: Abnormal labor is the most common complication of labor. It occurs in 10-15% cases of labor and is an indication for operative delivery in a third of all cases. Until now, there are no effective ways to predict abnormal labor. Meanwhile, the use of high-tech forecasting methods is not available for a wide range of obstetric institutions in the Russian Federation. AIM: The aim of this study was to create a technology for predicting abnormal labor, based on generally available methods of laboratory and instrumental research. MATERIALS AND METHODS: Based on the data collected in the Regional Clinical Hospital Perinatal Center, Chita, Russia in 2018-2021, the retrospective analysis of 200 cases of labor was carried out. The total sample was divided into four study groups: 100 women with normal labor activity (group 1), 30 women with uterine inertia (group 2), 30 women with incoordinate uterine activity (group 3), and 50 women with excessive uterine activity (group 4). The groups were comparable in terms of age, anthropometric parameters and extragenital pathology. All women on the eve of labor (1-2 days) underwent general clinical and ultrasound examination. Statistical processing of the results was carried out using the IBM SPSS Statistics version 25.0 software. RESULTS: The technology for predicting abnormal labor is implemented based on a multilayer perceptron, with the percentage of incorrect predictions being 21.3%. The structure of the trained neural network included nine input neurons: labor parity, gestational age, leukocyte count, erythrocyte sedimentation rate, total protein concentration, amniotic fluid index, biparietal size, as well as fetal head and abdomen circumference. CONCLUSIONS: An integrated approach based on generally available laboratory and instrumental research methods, such as complete blood count and biochemical blood test, as well as ultrasound examination, on the eve of labor allows for predicting the abnormal labor development with an accuracy of up to 70%. The use of this technology in clinical practice will help, in the future, not only to prevent abnormal labor, but also to reduce the incidence of adverse obstetric and perinatal outcomes.


Author(s):  
Lea Magdalena Rempel ◽  
Hanna Körber ◽  
Iris M. Reichler ◽  
Orsolya Balogh ◽  
Sandra Goericke-Pesch

Author(s):  
Lea Magdalena Rempel ◽  
Karina Tietgen Andresen Lillevang ◽  
Ann-Kirstine thor Straten ◽  
Sólrún Barbara Friðriksdóttir ◽  
Hanna Körber ◽  
...  

AbstractThe aetiology of primary uterine inertia (PUI), which is the most common cause of canine dystocia, is still not elucidated. Prostaglandins (PGs) play a crucial role in parturition. We hypothesized that the expression of prostaglandin endoperoxidase synthase 2 (PTGS2), PGF2α synthase (PGFS), and corresponding receptor (PTGFR) is altered in PUI. We investigated PTGS2, PGFS, and PTGFR mRNA expression, and PTGS2 and PGFS protein expression in interplacental (IP) and uteroplacental sites (UP) in bitches with PUI, obstructive dystocia (OD), and prepartum (PC). PTGS2, PGFS, and PTGFR mRNA expression did not differ significantly between PUI and OD (IP/UP). PTGFR ratio in UP was higher in PC than in OD (p = 0.014). PTGS2 immunopositivity was noted in foetal trophoblasts, luminal and superficial glandular epithelial cells, smooth muscle cells of both myometrial layers, and weakly and sporadically in deep uterine glands. PGFS was localized in luminal epithelial cells and in the epithelium of superficial uterine glands. PTGS2 and PGFS staining was similar between PUI and OD, while PGFS protein expression differed between OD and PC (p = 0.0215). For PTGS2, the longitudinal myometrial layer of IP stained significantly stronger than the circular layer, independent of groups. These results do not support a role for PTGS2, PGFS, and PTGFR in PUI. Reduced PGFS expression in IP during parturition compared with PC and the overall lack of placental PGFS expression confirm that PGFS is not the main source of prepartal PGF2alpha increase. The difference in PTGS2 expression between IP myometrial layers warrants further investigation into its physiological relevance.


Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 713
Author(s):  
Jasmine Fusi ◽  
Augusto Carluccio ◽  
Tanja Peric ◽  
Massimo Faustini ◽  
Alberto Prandi ◽  
...  

The neonatal response to stress was reported to be related to the type of delivery, that is elective or emergency cesarean sections (ELCS and EMCS, respectively). Nitric oxide (NO) is also reported to be related to uterine inertia, and high levels of NO metabolites (NOs) are associated with physical and emotional stress. The study aimed to assess the concentrations of cortisol (C) and NOs in the amniotic fluid of puppies delivered by ELCS or EMCS. In total, 32 puppies were delivered by ELCS and 22 by EMCS. ANCOVA showed an effect of the ELCS vs. EMCS on both amniotic NOs (p < 0.001) and C (p < 0.001) concentrations. Lower amniotic C concentrations were found at increasing Apgar score (p < 0.001). Higher amniotic NOs concentrations were associated to increasing mother’s parity (p < 0.001), puppies’ birthweight (p < 0.001), and time of labor within the EMCS group (p < 0.05). A positive correlation between birthweight and amniotic NOs concentrations was also found (p < 0.05) in the EMCS group. Due to the possible concurrence of several compartments (maternal, maybe placental, and fetal) to the final amniotic fluid composition, the definition of the role played by the three compartments in the higher C and NOs concentrations found in amniotic fluids collected from puppies delivered by EMCS than ELCS needs further clarification.


Author(s):  
Bianca Lourdes FREHNER ◽  
Iris Margaret REICHLER ◽  
Mariusz Pawel KOWALEWSKI ◽  
Aykut GRAM ◽  
Stefanie KELLER ◽  
...  

2020 ◽  
Vol 59 (2) ◽  
pp. 212-214
Author(s):  
N. AHMED ◽  
M. SHARMA ◽  
S.N. YADAV ◽  
B.K. SARMA ◽  
R. DEVI ◽  
...  

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