42 research outputs found

    Hepaticocystic duct and a rare extra-hepatic "cruciate" arterial anastomosis: a case report

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    <p>Abstract</p> <p>Introduction</p> <p>The variations in the morphological characteristics of the extra-hepatic biliary system are interesting.</p> <p>Case presentation</p> <p>During the dissection of cadavers to study the morphological characteristics of the extra-hepatic biliary system, a 46-year-old male cadaver was found to have drainage of the common hepatic duct drains directly into the gall bladder neck. The right and left hepatic ducts were not seen extra-hepatically. Further drainage of the bile away from the gallbladder and into the duodenum was provided by the cystic duct. Formation of the common bile duct by the union of the common hepatic duct and cystic duct was absent. Further more the right hepatic artery was found to be communicating with the left hepatic artery by a "bridging artery" after giving rise to the cystic artery. An accessory hepatic artery originated from the "bridging artery" forming a "cruciate" hepatic arterial anastomosis.</p> <p>Conclusion</p> <p>Combination of a Hepaticocystic duct and an aberrant variation in the extra-hepatic arterial system is extremely rare.</p

    Evaluation of caesarean section practices according to Robson's 10-group classification at a level two maternity ward in Conakry, Guinea

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    Background: The frequency of caesarean sections (CS) increased dramatically in the world over the last twenty years. The objective of this study was to evaluate caesarean section practices based on Robson classification in an urban referral hospital in Conakry, GuineaMethods: We conducted a cross-sectional study of 2,266 birthing records collected at the maternity ward of the Coronthie Communal Medical Center in Conakry, from January 1st to December 31st 2016. We included in the study all women who had a caesarean section and whose medical records were complete. Robson's classification was used to classify women into 10 groups based on maternal and fetal characteristics. The relative size of each group, its gross caesarean section rate as well as its contribution to overall caesarean section rate and the main caesarean section indications were calculated.Results: In 2016, 769 caesarean sections were performed out of 2,266 deliveries, corresponding to a hospital section rate of 33.9%. Groups 5 (11.0%), 1 (4.8%), and 3 (4.3%) of the Robson classification were the most contributors to registered hospital caesarean section rate. The main indications for caesarean section were uterine scar in group 5 and acute fetal distress in groups 1 and 3.Conclusions: The systematic reference to the Robson classification could help to identify and avoid the relative indications of the caesarean section in urban Guinea. Besides, increasing induction of labor and strengthening providers’ capacities in emergency obstetric and newborn care services could contribute to reduce caesarean section rates in Guinea

    Evidence-based guidelines for supportive care of patients with Ebola virus disease.

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    The 2013-16 Ebola virus disease outbreak in west Africa was associated with unprecedented challenges in the provision of care to patients with Ebola virus disease, including absence of pre-existing isolation and treatment facilities, patients' reluctance to present for medical care, and limitations in the provision of supportive medical care. Case fatality rates in west Africa were initially greater than 70%, but decreased with improvements in supportive care. To inform optimal care in a future outbreak of Ebola virus disease, we employed the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology to develop evidence-based guidelines for the delivery of supportive care to patients admitted to Ebola treatment units. Key recommendations include administration of oral and, as necessary, intravenous hydration; systematic monitoring of vital signs and volume status; availability of key biochemical testing; adequate staffing ratios; and availability of analgesics, including opioids, for pain relief

    Ebola virus disease and critical illness

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    Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

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    In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security
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