Gastrointestinal nematodes (GIN) exacerbate the impact of droughts on the survival of cattle. The inadequacies of the conventional system make it increasingly important to explore indigenous knowledge (IK) to create drought-tolerant and GIN resilient herds. The objective of the study was to assess the indigenous strategies for controlling GIN during droughts. Face-to-face interviews with experts on IK were conducted to give insight into the importance, methods and ranking of GIN control. The experts identified 86 cattle that were used to test their assertions. The control methods used were identifying cattle that were susceptible to high GIN loads using predisposing factors, diagnosis of GIN burdens using faecal appearance, and treatment using phytotherapy. Experts ranked predisposing factors as the most critical control strategy and identified body condition, class, sex, coat colour, pregnancy status and lactation status as predisposing factors to high GIN burdens. Thin, older, dark-coloured cattle, as well as pregnant and lactating cows, were considered susceptible to GIN. However, pregnancy status, coat colour and sex were significantly associated with high GIN burdens. Cows were 2.6 times more likely to have high GIN burdens than bulls. Dark-coloured cattle were 3.5 times more likely to have high GIN burdens than light-coloured ones, and the likelihood of pregnant cows was 4.9 times higher than non-pregnant cows. A dark-coloured pregnant cow was extremely susceptible to high GIN burdens. In conclusion, knowledge of predisposing factors informs selection decisions when purchasing foundation stock. Cattle that are susceptible to high GIN loads are prioritised during droughts or culled where resources are scarce.

UNASSIGNED: To evaluate the performance of a questionnaire in assessing the pregnancy status of women of reproductive age during preventive chemotherapy interventions.
UNASSIGNED: A questionnaire (20 questions) was administered to 1217 women of reproductive age (≥18 years) from Ilemela and Buchosa districts, northwestern Tanzania. A single urine sample was collected from each of them and tested using a rapid pregnancy test for presence of pregnant.
UNASSIGNED: Overall, 10.8% (132/1217) of the women reported to be pregnant at the specific question in the questionnaire. The rapid pregnancy test identified 15.1% (184/1217) of the women to be pregnant. In total, 86.4% (114/132) of the women who reported to be pregnant during the interview were confirmed to be pregnant using the rapid pregnant test. The question on pregnancy demonstrated an overall sensitivity of 62% and specificity of 98.3%.
UNASSIGNED: The questionnaire performance was not completely satisfactory; however, it managed to identify pregnant women in the first trimester. The question on the last date of the start of the menstrual period yield the highest sensitivity and appeared to be the key one used in combination with other questions. Further validation of these results in other countries with different cultures are recommended to fully evaluate the performance of this method.

Opioid use disorder (OUD) remains prevalent. Medications for OUD (MOUD) are standard care for pregnant and non-pregnant women. Previous research has identified barriers to MOUD for women with Medicaid but did not account for the type of MOUD (methadone vs. buprenorphine) or pregnancy status. We examined access to MOUD by treatment type for pregnant and non-pregnant women with Medicaid in Florida.
A secondary analysis of Florida \"secret-shopper\" data was conducted. Calls were made to clinicians from the 2018 Substance Abuse and Mental Health Services Administration provider list by women posing as either a pregnant or non-pregnant woman with OUD and Medicaid. We examined 546 calls to buprenorphine-waivered providers (BWP) and 139 to opioid treatment programs (OTP). Counts and percentages were used to describe caller success by type of treatment and pregnancy status. Chi-square tests were used to identify statistical differences.
Only 42 % of calls reached a treatment provider in Florida. Pregnant and non-pregnant women were less likely to obtain an appointment with Medicaid coverage by a BWP than an OTP (p < 0.01). Nearly 40 % of OTPs offered appointments to callers with Medicaid compared to only 17 % of BWPs. Both types of providers denied appointments more often for pregnant women. Thirty-eight percent of BWP\'s and 12 % of OTP\'s denied appointments to pregnant women using cash or Medicaid payment.
Our study demonstrates logistical and financial barriers to treatment for OUD among pregnant and non-pregnant women with Medicaid in Florida and highlights the need for improved systems of care.

BACKGROUND: The nano-sized, lipid bilayer-delimited placental extracellular vesicles (PEVs) released by the placenta are now regarded as important mediators involved in various physiological and pathological processes of pregnant women. The number and contents of PEVs are significantly altered in preeclampsia and are considered as potential biomarkers. However, the distribution pattern of PEVs in the maternal circulation in different pregnancy status is still unclear for the limitation of the traditional method with low sensitivity.
METHODS: In this work, we recruited 561 pregnant women with different pregnancy status and investigated the distribution pattern of PEVs in the maternal circulation based on a single extracellular vesicle analysis method and placental alkaline phosphatase (PLAP), a placenta-specific marker.
RESULTS: The concentration of PEVs in pregnant women increased with the progression of gestational age, while the ratio of PEVs decreased to about 10% in the third trimester. Surprisingly, the PLAP+ EVs also presented in the plasma of non-pregnant women and normal male about 5%. The change in the ratio of PEVs can reflect the pregnancy status and also had a better diagnostic value in severe preeclampsia (AUC = 0.7811).
CONCLUSIONS: Our study not only reveals the distribution pattern of PEVs, but also identifies the diagnostic potential of PEVs as biomarkers.

Accurately identifying pregnancy status is imperative for a profitable dairy enterprise. Mid-infrared (MIR) spectroscopy is routinely used to determine fat and protein concentrations in milk samples. Mid-infrared spectra have successfully been used to predict other economically important traits, including fatty acid content, mineral content, body energy status, lactoferrin, feed intake, and methane emissions. Machine learning has been used in a variety of fields to find patterns in vast quantities of data. This study aims to use deep learning, a sub-branch of machine learning, to establish pregnancy status from routinely collected milk MIR spectral data. Milk spectral data were obtained from National Milk Records (Chippenham, UK), who collect large volumes of data continuously on a monthly basis. Two approaches were followed: using genetic algorithms for feature selection and network design (model 1), and transfer learning with a pretrained DenseNet model (model 2). Feature selection in model 1 showed that the number of wave points in MIR data could be reduced from 1,060 to 196 wave points. The trained model converged after 162 epochs with validation accuracy and loss of 0.89 and 0.18, respectively. Although the accuracy was sufficiently high, the loss (in terms of predicting only 2 labels) was considered too high and suggested that the model would not be robust enough to apply to industry. Model 2 was trained in 2 stages of 100 epochs each with spectral data converted to gray-scale images and resulted in accuracy and loss of 0.97 and 0.08, respectively. Inspection on inference data showed prediction sensitivity of 0.89, specificity of 0.86, and prediction accuracy of 0.88. Results indicate that milk MIR data contains features relating to pregnancy status and the underlying metabolic changes in dairy cows, and such features can be identified by means of deep learning. Prediction equations from trained models can be used to alert farmers of nonviable pregnancies as well as to verify conception dates.

The implementation of various policies related to female patients of reproductive capacity was investigated using a structured telephone interview of radiological departments in Norway. The findings suggest that 60% (n=35/58) of radiological departments have written guidelines regarding female patients of reproductive capacity. The 10-day rule is implemented for a range of examinations in 12% (n=7/58) of the radiological departments questioned, and in another 9% (n=5/58) it is only implemented for hysterosalpingography. Forty percent (n=23/58) of departments are familiar with rapid urine pregnancy tests and use them in certain circumstances. In conclusion, a lack of standardisation of approaches to radiation protection is apparent, and this raises concerns as national and international recommendations are not being correctly implemented. This may lead to confusion amongst patients and staff, and may have adverse consequences such as the accidental irradiation of the unborn child.

As important members in steroids related signal pathways, bile acids are very important in regulating substance metabolism and immune homeostasis. However, bile acids are highly cytotoxic, and the excessive accumulation can induce several abnormalities such as cholestatic liver injury. It is known that the bile acid metabolism alters during pregnancy and mostly will not result in pathologies. However, the effect of dexamethasone exposure during pregnancy on bile acid metabolism is still unknown. In this study, pregnant Wistar rats were subcutaneously administered dexamethasone (0.2 mg/kg.d) or saline from gestation day 9-21, while virgin rats were given the same treatment for 13 days. We found that, physiological pregnancy or dexamethasone exposure during non-pregnancy did not affect maternal serum TBA level and liver function. Nevertheless, dexamethasone exposure during pregnancy increased serum TBA level and accompanied with liver injury. Furthermore, we discovered that the conservation of bile acid homeostasis under pregnancy or dexamethasone exposure was maintained through compensatory pathways. However, dexamethasone exposure during pregnancy tipped the balance of liver bile acid homeostasis by increasing classical synthesis and decreasing efflux and uptake. In addition, dexamethasone exposure during pregnancy also increased serum estrogen level and nuclear receptors mRNA expression levels. Finally, two-way ANOVA analysis showed that dexamethasone exposure during pregnancy could induce or facilitate maternal cholestasis and liver injury by up-regulating ERα and CYP7A1 expression. This study confirmed that dexamethasone exposure during pregnancy was related to maternal intrahepatic cholestasis of pregnancy and should be carefully monitored in clinical settings.

BACKGROUND: Determining the possibility of pregnancy and the documentation of pregnancy status are important considerations in the assessment of females of reproductive age when admitted to hospital.
OBJECTIVE: Our aim was to determine the adequacy of the documentation of pregnancy status and possibility of pregnancy across multiple surgical specialties.
METHODS: A prospective audit of surgical specialties (general, orthopaedics, urology, vascular, maxillofacial, ENT, gynaecology and neurosurgery) within NHS Tayside, in May 2015.
RESULTS: A total of 129 females of reproductive age were admitted; 69 (53.5%) elective and 60 (46.5%) emergencies. Eighty-four patients (65%) were asked \'Is there any possibility of pregnancy?\' Pregnancy status was documented in 74% of patients. Eleven (8.5%) patients were not asked about possibility of pregnancy and did not have a documented pregnancy status. Documentation of the use of contraception, sexual activity and date of last menstrual period was noted in 53 (41.1%), 31 (24.0%) and 66 (51.2%) patients, respectively.
CONCLUSIONS: There is a wide variation in the documentation of pregnancy status and possibility of pregnancy amongst surgical specialties. This was not an issue in gynaecology but is an issue in ENT, maxillofacial, neurosurgery, vascular and general surgery. The reasons are unclear. Documentation of pregnancy status using ßhCG assays should be the gold standard, and national guidelines are required.

Pregnancies can end in miscarriage, birth or termination. Although it is well known that pregnancy results in weight gain across the life course, it is unknown whether pregnancies which end in termination and miscarriage contribute to this. The study used a sub-sample of 3630 adult offspring from the original cohort of the Mater University of Queensland Study of Pregnancy (MUSP) and its outcomes, in Brisbane, Australia. Anthropometric data were measured at 5, 14 and 21 years of age and experience of pregnancy including termination, miscarriage and births were self-reported at 21 years. Multivariable analyses were conducted to determine whether pregnancy status of young people independently associated with overweight or obesity status. The women who had at least one birth were more likely to have overweight (odds ratio [OR] 1.52; 95% confidence interval [CI]: 1.01, 2.27) or obese (OR 2.38; 95% CI: 1.58, 3.59) compared to women who did not experience any pregnancy. Women whose pregnancies were terminated or miscarried were at the same risk of overweight or obesity as women who did not experience any pregnancy. For men, there is no association between the pregnancies in their partners and the mean difference in their body mass index. Young women whose pregnancies result in a birth, but not terminations or miscarriages, are at greater risk of having overweight or obesity following the birth.

Current bovine pregnancy detection methods are not reliable until at least day 28 post artificial insemination (AI). The bovine estrous cycle is approximately 21 days; consequently, producers miss an opportunity to rebreed at the next estrous event. Therefore, commercial interest exists for the discovery of novel biomarkers of pregnancy which could reliably detect pregnancy status at or before day 21 of pregnancy. The objective of the present study was to use liquid chromatography tandem mass spectrometry (LC-MS/MS) to perform a global, label-free, proteomics study on (i) milk whey and (ii) extracellular vesicle (EV) enriched milk whey samples, from day 21 of pregnancy, compared with day 21 of the estrous cycle, in order to identify potential protein biomarkers of early pregnancy. The estrous cycles of 10 dairy cows were synchronized, they went through one (control) estrous cycle and these cows were artificially inseminated during the following estrus. These cows were confirmed pregnant by ultrasound scanning. Milk whey samples were collected on day 21 of the estrous cycle and on day 21 post AI. Milk whey samples and EV enriched milk whey samples were analyzed by LC-MS/MS and subsequent analyzes of the label-free quantitative data was performed in MaxQuant and Perseus. Four proteins (APOB, SPADH1, PLIN2 and LPO) were differentially expressed between the proteomes of milk whey from day 21 of pregnancy and day 21 of the estrous cycle (P < 0.05). Ten proteins (PIGR, PGD, QSOX1, MUC1, SRPRA, MD2, GAPDH, FOLR1, GPRC5B and HHIPL2) were differentially expressed between the proteomes of EV enriched milk whey from day 21 of pregnancy and day 21 of the estrous cycle (P < 0.05). These proteins are potential milk whey biomarkers of early pregnancy.