Anemia is a typical symptom during visceral leishmaniasis (VL). We performed a systematic analysis of the literature on anemia in VL to understand the prevalence, severity, and possible mechanisms. Anemia is very common in VL patients with an overall prevalence higher than 90 %. The degree of anemia in VL is moderate to severe (hemoglobin level ∼7.5 g/dl), and the status can be recovered by treatment with antileishmanial drugs within a certain period of time. Possible pathogeneses of anemia in VL based on clinical observations included anti-RBC antibodies, dysfunction in erythropoiesis, and hemophagocytosis in the bone marrow or spleen, while hemolysis is a more likely cause than dyserythropoiesis. In hamsters with experimental VL, hemophagocytosis induced by immune complex and changes on erythrocyte membrane is speculated as the pathogenesis for anemia. In contrast, our recent study on murine VL indicated that hemophagocytosis contributes to anemia in contrast to lower contribution of anti-RBC antibodies or dysfunction in erythropoiesis. Together, hemophagocytosis is most likely associated with anemia in VL, and elucidation of the immunological mechanisms may lead to development of novel interventions to manage the symptom.

Background: Evidence-based interventions may reduce mortality in surgical patients. This study documented the prevalence of sepsis, adherence to guidelines in its management, and timing of source control in general surgical patients presenting as an emergency.Methods: Patients aged 16 years or more presenting with emergency general surgery problems were identified over a 7-day period and then screened for sepsis compliance (using the Sepsis Six standards, devised for severe sepsis) and the timing of source control (whether radiological or surgical). Exploratory analyses examined associations between the mode (emergency department or general practitioner) and time of admission, adherence to the sepsis guidelines, and outcomes (complications or death within 30 days).Results: Of a total of 5067 patients from 97 hospitals across the UK, 911 (18⋅0 per cent) fulfilled the criteria for sepsis, 165 (3⋅3 per cent) for severe sepsis and 24 (0⋅5 per cent) for septic shock. Timely delivery of all Sepsis Six guidelines for patients with severe sepsis was achieved in four patients. For patients with severe sepsis, 17⋅6-94⋅5 per cent of individual guidelines within the Sepsis Six were delivered. Oxygen was the criterion most likely to be missed, followed by blood cultures in all sepsis severity categories. Surgery for source control occurred a median of 19⋅8 (i.q.r. 10⋅0-35⋅4) h after diagnosis. Omission of Sepsis Six parameters did not appear to be associated with an increase in morbidity or mortality. Conclusion:Although sepsis was common in general surgical patients presenting as an emergency, adherence to severe sepsis guidelines was incomplete in the majority. Despite this, no evidence of harm was apparent. * Members of the UK National Surgical Research Collaborative are co-authors of this study and can be found under the heading Collaborators Paper accepted 25 October 2016Published online in Wiley Online Library (www.bjs.co.uk). DOI: 10.1002/bjs.10432 IntroductionGeneral surgical patients presenting as an emergency account for over 7 per cent of hospital episodes in the USA and 14 000 ICU admissions per year in the UK 1 -3 . Sepsis is prevalent in this patient group. Early diagnosis of severe sepsis and initiation of goal-directed therapy can reduce mortality, irrespective of the need for surgery 4,5 . This evidence was used to develop a care bundle known as the Sepsis Six for managing patients with severe sepsis (Table 1) 6,7 . These standards have been endorsed by many professional organizations, including the Society of Critical Care Medicine, the European Society of Intensive Care Medicine and the Royal Colleges of Surgeons of England and Ireland 1,2,8,9 . Complete application of these interventions is thought to be associated with as much as a one-third reduction in mortality from sepsis, although uptake is uncertain amongst surgical patients presenting as an emergency 4,6 .The main aims of the present study were to assess adherence to the Sepsis Six guidelines and identify the timing of source control in general su...

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In this paper, the Foxconn epidemic event in Zhengzhou was taken as an example to analyze the evolution of online public opinion on public health emergencies. In order to improve the performance of online public opinion analysis, based on the life cycle theory and LDA theory, the emotional changes of Internet users in four stages of the Foxconn incident centered on the evolution of inscription were divided. The emotions of netizen speech at different stages are analyzed based on CNN-BiLSTM + Attention model, which uses Convolutional Neural Network (CNN) to extract local features. Bi-directional Long Short-Term Memory (BiLSTM) is used to efficiently extract contextual semantic features and long distance dependencies, and then combined with attention mechanism to add emotional features. Finally, Softmax classifier realizes text emotion prediction. The experimental results show that: compared with TextCNN, BiLSTM, BiLSTM + Attenion, CNN-BiLSTM model, the emotion classification model has better effects in the accuracy rate, accuracy rate, recall rate and F value. By analyzing the emotional distribution and evolution trend of public opinion under "text topic", the paper accurately deconstructs the development characteristics of public opinion in public health emergencies, in order to provide reference for relevant departments to deal with public opinion in public health emergencies.