Severe pre-eclampsia: epidemiological, diagnostic, therapeutic and prognostic aspects at Hospital Principal Dakar from January 2019 to December 2020

Background: Preeclampsia, major public health problem, is one of the leading causes of maternal and infant mortality. It is increasingly frequent in our referral health centers, especially in its severe form. Methods: Retrospective descriptive and analytical study about severe preeclampsia at the Maternity of Hospital Principal Dakar, from 01 January 2019 to 31 December 2020. Results: Frequency of severe preeclampsia was 3.09%. Medical evacuation (70.59%) was the most frequent mode of admission. Patients were in average 29.8 years and primipare. Personal medical history was dominated by high blood pressure (16.29%). The average gestational age was 34+2 days, but pregnancy was carried to term by the majority of patients. Functional signs were dominated by headache (40.65%). Blood pressure was greater than or equal to 160/90 mmHg (90.32%). Hyperuricemia was the most frequent biological anomaly after proteinuria (45.1%). Complications were dominated by retroplacental hematoma (4.49%) and intrauterine growth retardation (IUGR) (28.48%). Calcium channel blockers (81.88%) were the main antihypertensive agents administered. Caesarean section was the most common delivery method (80.46%). The maternal prognosis was good, with no maternal deaths recorded. Perinatal mortality was 173.9%. Conclusions: Preeclampsia remains a fearsome pregnancy’s pathology. Raising awareness of pregnant women during ANC on the risks of pre-eclampsia, retraining of health personnel, close and early monitoring of women at risk and management in a multidisciplinary setting help to improve the maternal-fetal prognosis.

Protected proteins as supplements for bulls fed tropical forage diets

Under the extensive conditions encountered in the dry tropics of Australia mating in the beef herd ususally commences immediately after the onset of the wet season. Bulls are often mated only four to six weeks after suffering a period of liveweight loss. This experiment looked at the liveweight change and reproductive responses when bulls were subject to two different planes of nutrition

Hepatocellular carcinoma associated with pregnancy about 2 cases at the gynecological and obstetrical clinic of the Aristide Le Dantec hospital, Dakar, Senegal

The objective of our study was to report 2 cases of hepatocellular carcinomas associated with pregnancy followed in our structure and to review the literature. Our patients were 30 and 37-year-old multi-gesture females with chronic unattended viral hepatitis B in whom the diagnosis of hepatocellular carcinoma was made in the third trimester of pregnancy at 31 weeks of amenorrhea and 4 days and at 32 weeks of amenorrhea after the incidental finding of tumor hepatomegaly on abdominal-pelvic ultrasound. The main clinical signs were jaundice and hepatomegaly and paraclinical signs were dominated by hepatic cytolysis and anemia in addition to ultrasound images. Follow-up of pregnancies revealed no particularities. A caesarean section was scheduled at 32 weeks of amenorrhea and 32 weeks of amenorrhea and 3 days allowing the birth of two preterm newborns weighing 1210 and 1500 gm with Apgar scores of 8-10/10 and 7-9/10 respectively at the fifth minute. The immediate post-operative follow-up was simple. However, the maternal-fetal prognosis was poor with the death of both patients in a multi-visceral failure table occurring respectively at 6 weeks and 3 weeks after caesarean section. The newborns had died 8 days after birth. Although rare, these two cases challenge any obstetrician to think about liver cancer in pregnant women, especially those with chronic hepatitis B. Ultrasound examination of the liver, or even better, the MRI, which is more efficient, in order to suspect early on a possible liver cancer. Indeed, early diagnosis and a thorough medical approach are essential for the treatment of HCC in pregnant patients

A connectome of the adult drosophila central brain

The neural circuits responsible for behavior remain largely unknown. Previous efforts have reconstructed the complete circuits of small animals, with hundreds of neurons, and selected circuits for larger animals. Here we (the FlyEM project at Janelia and collaborators at Google) summarize new methods and present the complete circuitry of a large fraction of the brain of a much more complex animal, the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses, and proofread such large data sets; new methods that define cell types based on connectivity in addition to morphology; and new methods to simplify access to a large and evolving data set. From the resulting data we derive a better definition of computational compartments and their connections; an exhaustive atlas of cell examples and types, many of them novel; detailed circuits for most of the central brain; and exploration of the statistics and structure of different brain compartments, and the brain as a whole. We make the data public, with a web site and resources specifically designed to make it easy to explore, for all levels of expertise from the expert to the merely curious. The public availability of these data, and the simplified means to access it, dramatically reduces the effort needed to answer typical circuit questions, such as the identity of upstream and downstream neural partners, the circuitry of brain regions, and to link the neurons defined by our analysis with genetic reagents that can be used to study their functions. Note: In the next few weeks, we will release a series of papers with more involved discussions. One paper will detail the hemibrain reconstruction with more extensive analysis and interpretation made possible by this dense connectome. Another paper will explore the central complex, a brain region involved in navigation, motor control, and sleep. A final paper will present insights from the mushroom body, a center of multimodal associative learning in the fly brain

A connectome and analysis of the adult Drosophila central brain

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly’s brain

A connectome and analysis of the adult Drosophila central brain.

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly's brain

A connectome and analysis of the adult Drosophila central brain

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly's brain

A connectome and analysis of the adult Drosophila central brain.

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly's brain

A connectome and analysis of the adult Drosophila central brain

The neural circuits responsible for animal behavior remain largely unknown. We summarize new methods and present the circuitry of a large fraction of the brain of the fruit fly Drosophila melanogaster. Improved methods include new procedures to prepare, image, align, segment, find synapses in, and proofread such large data sets. We define cell types, refine computational compartments, and provide an exhaustive atlas of cell examples and types, many of them novel. We provide detailed circuits consisting of neurons and their chemical synapses for most of the central brain. We make the data public and simplify access, reducing the effort needed to answer circuit questions, and provide procedures linking the neurons defined by our analysis with genetic reagents. Biologically, we examine distributions of connection strengths, neural motifs on different scales, electrical consequences of compartmentalization, and evidence that maximizing packing density is an important criterion in the evolution of the fly’s brain