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Professional and tertiary health professions education (HPE) has been markedly challenged by the current novel coronavirus (COVID-19). Mandates for training organisations to reduce social contact during the global pandemic, and make learning available online, provide an opportunity for regional, rural and remote clinicians and students to more easily access learning and professional development opportunities. Online lectures, while posing an opportunity for regional, rural and remote HPE, entail potential risks. Educators who are familiar with face-to-face pedagogies may find a transition to remote, digital interaction unfamiliar, disarming, and therefore they may not design maximally engaging lectures. The strategies used in a face-to-face lecture cannot be directly transferred into the online environment. This article proposes strategies to ensure the ongoing effectiveness, efficiency and engagement of lectures transitioning from face-to-face to online delivery. Cognitive learning theory, strategies to promote learner engagement and minimise distraction, and examples of software affordances to support active learning during the lecture are proposed. This enables lecturers to navigate the challenges of lecturing in an online environment and plan fruitful online lectures during this disruptive time. These suggestions will therefore enable HPE to better meet the existing and future needs of regional, rural and remote learners who may not be able to easily access face-to-face learning upon the relaxation of social distancing measures. Strategies to provide equitable HPE to learners who cannot access plentiful, fast internet are also discussed. | [
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] |
BACKGROUND: Anti-inflammatory drugs such as corticosteroids may beneficially modulate the host inflammatory response to CoVID-19 pneumonia. AIMS: To evaluate the impact of addition of corticosteroids to the hospital protocol for treatment of suspected or confirmed CoVID-19 pneumonia on rates of death or intensive care unit (ICU) admission. METHODS: A before-after study was performed to evaluate the effect of addition of corticosteroids to our institution's COVID-19 treatment protocol on hospital mortality. RESULTS: Between March 3rd and April 14th 2020, 257 patients with CoVID-19 diagnosis were included. As corticosteroids were wide used since 27 March 2020, two periods were considered for the purposes of our study: the before period from March 3rd to 20th (n= 85) and the "after period" (n=172) from March 26th to April 14th 2020. The "after" period was associated with a lower risk of death (HR 0.47; 95% CI, 0.23 - 0.97; p=0.04), and a lower risk of intensive care admission or death before ICU admission (HR 0.37 95% CI 0.21 - 0.64; p=0.0005) by multivariate analysis adjusted for age, National Early Warning score and institutionalization status. CONCLUSIONS: In the "after period", the addition of corticosteroids to our institution's CoVID-19 treatment protocol was associated with a significant reduction in hospital mortality. | [
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|
By now, the 2019 novel coronavirus disease (COVID-19), caused by the SARS-CoV-2 virus, is widely recognized around the world as a pandemic that has infected millions and claimed the lives of hundreds of thousands (1). Despite months of mitigation strategies, COVID-19 continues to spread and ascertainment of new knowledge about the disease process continues to be a priority of the medical community. Originally described by characteristic symptoms of fever, cough and/or shortness of breath that can rapidly progress to acute respiratory distress syndrome, it has become clear that COVID-19 has manifold clinical presentations (2-4). Notably, olfactory dysfunction (OD)-decreased sense of smell-has been reported to occur in up to 85.6% of COVID-19 patients (2,5). | [
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|
We have a large number of samples and we want to find the infected ones using as few number of tests as possible. We can use group testing which tells about a small group of people whether at least one of them is infected. Group testing is particularly efficient if the infection rate is low. The goal of this article is to summarize and extend the mathematical knowledge about the most efficient group testing algorithms, focusing on real-life applications instead of pure mathematical motivations and approaches. | [
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] |
Microblogging platforms such as Twitter provide active communication channels during mass convergence and emergency events such as earthquakes, typhoons. During the sudden onset of a crisis situation, affected people post useful information on Twitter that can be used for situational awareness and other humanitarian disaster response efforts, if processed timely and effectively. Processing social media information pose multiple challenges such as parsing noisy, brief and informal messages, learning information categories from the incoming stream of messages and classifying them into different classes among others. One of the basic necessities of many of these tasks is the availability of data, in particular human-annotated data. In this paper, we present human-annotated Twitter corpora collected during 19 different crises that took place between 2013 and 2015. To demonstrate the utility of the annotations, we train machine learning classifiers. Moreover, we publish first largest word2vec word embeddings trained on 52 million crisis-related tweets. To deal with tweets language issues, we present human-annotated normalized lexical resources for different lexical variations. | [
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The coronavirus disease 2019 pandemic has affected nearly 70% of children and teenagers around the world due to school closure policies. School closure is implemented widely in order to prevent viral transmission and its impact on the broader community, based on preliminary recommendations and evidence from influenza. However, there is debate with regard to the effectiveness of school closures. Growing evidence suggests that a child's SARS-CoV-2 infection is often mild or asymptomatic and that children may not be major SARS-CoV-2 transmitters; thus, it is questionable if school closures prevent transmission significantly. This question is important as a majority of children in low- and middle-income countries depend on free school meals; unexpected long-term school closure may adversely impact nutrition and educational outcomes. Food insecurity is expected to be higher during the pandemic. In this viewpoint, we argue for a more thorough exploration of potential adverse impacts of school closures in low- and middle-income countries and recommend actions to ensure that the health and learning needs of vulnerable populations are met in this time of crisis. | [
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While social living is considered to be an indispensable part of human life in today's ever-connected world, social distancing has recently received much public attention on its importance since the outbreak of the coronavirus pandemic. In fact, social distancing has long been practiced in nature among solitary species, and been taken by human as an effective way of stopping or slowing down the spread of infectious diseases. Here we consider a social distancing problem for how a population, when in a world with a network of social sites, such as schools, restaurants, shopping centers, residential areas, etc., decides to visit or stay at some sites while avoiding or closing down others so that the social contacts across the network can be minimized. We model this problem as a network population game, where every individual tries to find some network sites to visit or stay so that he/she can minimize all his/her contacts. In the end, an optimal strategy can be found for every one, when the resulting distribution of the population over the network reaches an equilibrium. We show that a large class of equilibrium strategies can be obtained by selecting a set of network sites that forms a so-called maximal r-regular subnetwork. The latter includes many well studied network types, such as the maximal independent set (r=0), the maximal strong matching (r=1), the maximal set of independent cycles (r=2), etc. They are easy to identify or construct, and can be completely disconnected (with r = 0) for the most strict isolation, or allow certain degree of connectivities (with r>0) for more flexible distancing. We derive the equilibrium conditions of these strategies, and analyze their rigidity and flexibility on different types of r-regular subnetworks. We provide an overview on algorithms that can be used for computing maximal r-regular subnetworks and their associated distancing strategies. | [
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] |
The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in China in the city of Wuhan in December of 2019 and since then more than 5,000,000 people have been infected, with approximately 338,000 deaths worldwide. The virus causes the coronavirus disease 2019 (COVID-19), which is characterized by fever, myalgia and cough, with severe acute respiratory syndrome being the most fearsome complication. Nevertheless, the vast majority of cases present mild symptoms or none. Central nervous system and cardiovascular manifestations have been reported. The range of ocular manifestations, either as a result of the infection or as a result of the treatment, has not yet been discussed. In this study, a systematic review of current literature relevant to COVID-19 was performed with focus on modes of transmission, ocular manifestations related to infection and medications, as well as the control of infection in ophthalmic practice. | [
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We review geological evidence on the origin of the modern transcontinental Amazon River, and the paleogeographic history of riverine connections among the principal sedimentary basins of northern South America through the Neogene. Data are reviewed from new geochronological datasets using radiogenic and stable isotopes, and from traditional geochronological methods, including sedimentology, structural mapping, sonic and seismic logging, and biostratigraphy. The modern Amazon River and the continental-scale Amazon drainage basin were assembled during the late Miocene and Pliocene, via some of the largest purported river capture events in Earth history. Andean sediments are first recorded in the Amazon Fan at about 10.1-9.4 Ma, with a large increase in sedimentation at about 4.5 Ma. The transcontinental Amazon River therefore formed over a period of about 4.9-5.6 million years, by means of several river capture events. The origins of the modern Amazon River are hypothesized to be linked with that of mega-wetland landscapes of tropical South America (e.g. várzeas, pantanals, seasonally flooded savannahs). Mega-wetlands have persisted over about 10% northern South America under different configurations for >15 million years. Although the paleogeographic reconstructions presented are simplistic and coarse-grained, they are offered to inspire the collection and analysis of new sedimentological and geochronological datasets.(AU) | [
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|
Objective To explore the clinical features of critical cases of coronavirus disease 2019 (COVID-19) Methods The clinical data of nine patients who were diagnosed with critical COVID-19 in Hainan General Hospital from January 21, 2020 to February 6, 2020 were retrospectively analyzed RT-PCR testing for 2019 novel coronavirus (2019-nCoV) was performed with multi-sites synchronize specimens including pharyngeal swab, blood, excrement, and urine The serum levels of leucocyte, C-reactive protein, procalcitonin and lactic acid between the improved group (five cases) and the deteriorated group (four cases) were compared The t test was used for comparison of normally distributed continuous data between groups Results There were eight males (88 9%) and 1 female enrolled The patients aged 28-77 years old, with an age of (52 9±18 0) years By March 4, 2020, all five cases in improved group were cured and discharged, three cases in deteriorated group died and 1case remained in critical condition All multi-sites specimens of patients in improved group turned negative in 2-4 weeks of illness onset, while those of cases in deteriorated group showed sustained viral nucleic acid positive (up to 48th day of illness onset) The white blood cell counts ((13 52±8 24)×10 9 /L vs (10 49±4 46) ×10 9 /L), C-reactive protein ((139 71±87 46) mg/L vs (78 60±55 40) mg/L) and procalcitonin ((2 32±4 03) ng/mL vs (0 28±0 58) ng/mL) , lactic acid ((3 70±4 14) mmol/L vs (2 33±0 53) mmol/L) in deteriorated group were all significantly higher than those in improved group ( t =2 908, 5 009, 4 391 and 2 942, respectively, all P <0 01) A rapid rise of serum IL-6 level up to 8 500 pg/mL was observed in one patient three days prior to death Conclusion Among the patients with critical COVID-19, serum levels of inflammatory cytokines of the death cases are higher than those of improved and discharged cases | [
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During the unprecedented COVID-19 pandemic, people around the world have faced a myriad of heart-rending and ethically difficult scenarios (e.g., not being able to tend to a sick or dying loved one) that may lead to subsequent guilt, shame, or moral injury. Trauma-informed guilt reduction therapy is a brief intervention that helps clients accurately appraise their role in a stressful event (such as those experienced during the COVID-19 pandemic) and find positive ways to express important values going forward. Future studies of trauma-informed guilt reduction therapy with those affected by COVID-19 will be helpful for clarifying its effectiveness with this population. (PsycInfo Database Record (c) 2020 APA, all rights reserved). | [
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The COVID-19 pandemic has presented a formidable challenge to care continuity for community mental health clients with serious mental illness and for providers who have had to quickly pivot the modes of delivering critical services. Despite these challenges, many of the changes implemented during the pandemic can and should be maintained. These include offering a spectrum of options for remote and in-person care, greater integration of behavioral and physical healthcare, prevention of viral exposure, increased collaborative decision-making related to long-acting injectable and clozapine use, modifying safety plans and psychiatric advance directives to include new technologies and broader support systems, leveraging natural supports, and integration of digital health interventions. This paper represents the authors' collaborative attempt to both reflect the changes to clinical practice we have observed in CMHCs across the US during this pandemic and to suggest how these changes can align with best practices identified in the empirical literature. | [
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] |
There is growing concern over the potential for increased suicide risk in vulnerable populations as the COVID-19 pandemic unfolds. To contextualize this risk during the first weeks of the nationwide lockdown efforts, we had 1,013 U.S. adults complete questionnaires assessing worries over COVID-19, insomnia severity, and suicidal ideation. Anxiety about COVID-19 correlated positively with insomnia severity and suicidal ideation. Analysis revealed that the statistical association between pandemic fears and suicidal thinking was fully accounted for by insomnia severity, suggesting that interventions aimed at improving sleep may be useful in reducing suicide risk during the current pandemic. | [
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|
Shock wave gives back reaction to spacetime and the information is stored in the memory of background. Quantum memory effect of localised shock wave on Minkowski metric is investigated here. We find that the Wightman function for massless scalar field, on both sides of the wave location, turns out to be the same for usual Minkowski spacetime. Therefore the observables obtained from this, for any kind of observer, do not show the signature of the shock. Moreover, the vacuum states of field on both sides are equivalent. On the contrary, the correlator for the non-vacuum state does memorise the classical shock wave and hence the effect of it is visible in the observables, even for any frame. We argue that rather than vacuum state, the non-vacuum ones are relevant to retrieve the quantum information of classical memory. | [
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|
We introduce S2ORC, a large corpus of 81.1M English-language academic papers spanning many academic disciplines. The corpus consists of rich metadata, paper abstracts, resolved bibliographic references, as well as structured full text for 8.1M open access papers. Full text is annotated with automatically-detected inline mentions of citations, figures, and tables, each linked to their corresponding paper objects. In S2ORC, we aggregate papers from hundreds of academic publishers and digital archives into a unified source, and create the largest publicly-available collection of machine-readable academic text to date. We hope this resource will facilitate research and development of tools and tasks for text mining over academic text. | [
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OBJECTIVES: A carefully chosen and suitably prepared kidney donor is essential in living-donor kidney transplantation. Computed tomography angiography (CTA) is an effective imaging method for evaluating the renovascular morphology of donor candidates. The aim of this study was to evaluate renal artery variations in kidney donors using CTA and compare the findings with the number of arteries detected during laparoscopic donor nephrectomy. MATERIALS AND METHODS: The study included 2,144 living donors who underwent pretransplant renovascular assessment using CTA and laparoscopic donor nephrectomy in our center between August 2012 and October 2018. The number of renal arteries to the donor kidney detected on CTA was compared with the number of arteries discovered intraoperatively. RESULTS: The mean age of the 2,144 living kidney donors included in the study was 47.19 ± 13.3 (18-87) years. According to CTA findings, 81.1% (n = 1,738) had a single renal artery, 17.2% (n = 369) had double renal arteries, 1.6% (n = 35) had triple renal arteries, and 0.1% (n = 2) had quadruple renal arteries. The same number of renal arteries were detected by CTA and in laparoscopic donor nephrectomy in 97.9% (n = 2,099) of the donors. In the other 2.1% (n = 45), fewer renal arteries were detected intraoperatively compared to their CTA findings. None of the donors included in the study had a greater number of renal arteries discovered during nephrectomy than by CTA. CONCLUSION: CTA is a highly accurate method for the evaluation of renovascular variations in donor candidates for living-donor kidney transplantation. However, it must be kept in mind that double or multiple renal artery variations may be detected on CTA in 18.9% of donor candidates. | [
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Foodborne pathogens are one of the main concerns in public health, which can have a serious impact on community health and health care systems. Contamination of foods by bacterial pathogens (such as Staphylococcus aureus, Streptococci, Legionella pneumophila, Escherichia coli, Campylobacter jejuni and Salmonella typhimurium) results in human infection. A typical example is the current issue with Coronavirus, which has the potential for foodborne transmission and ruling out such concerns is often difficult. Although, the possible dissemination of such viruses via the food chain has been raised. Standard bacterial detection methods require several hours or even days to obtain the results, and the delay may result in food poisoning to eventuate. Conventional biochemical and microbiological tests are expensive, complex, time-consuming and not always reliable. Therefore, there are urgent demands to develop simple, cheap, quick, sensitive, specific and reliable tests for the detection of these pathogens in foods. Recent advances in smart materials, nanomaterials and biomolecular modeling have been a quantum leap in the development of biosensors in overcoming the limitations of a conventional standard laboratory assay. This research aimed to critically review bacteriophage-based biosensors, used for the detection of foodborne pathogens, as well as their trends, outcomes and challenges are discussed. The future perspective in the use of simple and cheap biosensors is in the development of lab-on-chips, and its availability in every household to test the quality of their food. | [
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The aim of sequential change-point detection is to issue an alarm when it is thought that certain probabilistic properties of the monitored observations have changed. This work is concerned with nonparametric, closed-end testing procedures based on differences of empirical distribution functions that are designed to be particularly sensitive to changes in the comtemporary distribution of multivariate time series. The proposed detectors are adaptations of statistics used in a posteriori (offline) change-point testing and involve a weighting allowing to give more importance to recent observations. The resulting sequential change-point detection procedures are carried out by comparing the detectors to threshold functions estimated through resampling such that the probability of false alarm remains approximately constant over the monitoring period. A generic result on the asymptotic validity of such a way of estimating a threshold function is stated. As a corollary, the asymptotic validity of the studied sequential tests based on empirical distribution functions is proven when these are carried out using a dependent multiplier bootstrap for multivariate time series. Large-scale Monte Carlo experiments demonstrate the good finite-sample properties of the resulting procedures. The application of the derived sequential tests is illustrated on financial data. | [
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|
The outbreak of a severe acute respiratory syndrome caused by a novel coronavirus (COVID-19), has raised health concerns for patients with multiple sclerosis (MS) who are commonly on long-term immunotherapies. Managing MS during the pandemic remains challenging with little published experience and no evidence-based guidelines. We present five teriflunomide-treated patients with MS who subsequently developed active COVID-19 infection. The patients continued teriflunomide therapy and had self-limiting infection, without relapse of their MS. These observations have implications for the management of MS in the setting of the COVID-19 pandemic. | [
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BACKGROUND AND OBJECTIVE: Knowledge about COVID-19 in children is limited due to the paucity of reported data. The pediatric age group comprises only less than 5% of total COVID-19 worldwide, therefore, large studies in this population are unlikely in the immediate future. Hence, we planned to synthesize the current data that will help in a better understanding of COVID-19 in children. METHODS: Four different electronic databases (MEDLINE, EMBASE, Web of Science, and CENTRAL) were searched for articles related to COVID-19 in the pediatric population. We included studies reporting disease characteristics and outcomes of COVID-19 in patients aged less than 19 years. We performed a random-effect meta-analysis to provide pooled estimates of various disease characteristics. RESULTS: 27 studies (4857 patients) fulfilling the eligibility criteria were included in this systematic review, from a total of 883 records. About half of the patients had each of fever and cough, 11% (6-17%) had fast breathing, and 6-13% had gastrointestinal manifestations. Most of the patients had mild to moderate disease, and only 4% had a severe or critical illness. Leukopenia was the commonest reported laboratory abnormality. CONCLUSION: Even among the symptomatic COVID-19 cases, severe manifestations are seen in very few children. Though fever and respiratory symptoms are most common, many children also have gastrointestinal manifestations. | [
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|
INTRODUCTION: The coronavirus disease (COVID-19) is a global health emergency. Major disruption to healthcare services during the current COVID-19 pandemic will last even after its peak. Sexual and reproductive health (SRH), specially contraception, needs to be understood as an essential service. AREAS COVERED: This paper is a narrative review. Data from PubMed/MEDLINE, Scopus, and websites of scientific societies were screened during the months of April and May 2020. It addresses the main aspects related to contraception during the COVID-19 pandemic, with special emphasis on family planning services, extended use of long-acting reversible contraceptive (LARC) methods, drug interactions, and thromboembolism risk. We also specified some issues focused on the Brazilian reality. EXPERT OPINION: Ensuring proper contraception use in the COVID-19 time is very important. We encourage women, healthcare providers, policymakers, and the society to consider SRH services as priority. | [
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This paper describes the initial COVID-19 open image data collection. It was created by assembling medical images from websites and publications and currently contains 123 frontal view X-rays. | [
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] |
PURPOSE: To estimate the incidence rate of eye injuries (EI) requiring inpatient and outpatient treatment in Taiwan and compare the epidemiologic characteristics of EI (age, sex, treatment setting, seasonality, occupation, external cause, diagnosis, and surgery) in the years 2000, 2005, 2010, and 2015. METHODS: We analyzed four random samples of 1,000,000 beneficiaries each from 2000, 2005, 2010, and 2015 of the Taiwan National Health Insurance Program. The direct age-standardized rate, with 95% confidence interval (CI), was used to compare EI rates for the four calendar years. The chi-square test and chi-square test for trend were used to compare data for the four calendar years. RESULTS: Annual EI incidence rates were between 2.57% in 2000 and 3.28% in 2015. The age-standardized rates were 2.73% (95% CI, 2.70%-2.76%) in 2000, 3.37% (95% CI, 3.33%-3.41%) in 2005, 3.31% (95% CI, 3.28%-3.35%) in 2010, and 3.02% (95% CI, 2.99%-3.06%) in 2015. Manual workers had the highest EI incidence rate, followed by non-manual workers and civil servants. The proportion of EI requiring inpatient treatment declined from 1.34% in 2000 to 0.63% in 2015 (P <0.0001). Analysis of seasonality showed a consistent decrease in February in the four sampling years; however, this decrease in EI was only seen in outpatients, not in EI requiring hospitalization. The proportion of outpatients requiring surgery significantly decreased, from 2.53% in 2000 to 1.2% in 2015 (P<0.0001). However, the proportion of inpatients requiring surgery for EI as the principal diagnosis increased from 69.32% in 2000 to 83.02% in 2015 (P = 0.29), and the proportion of inpatients requiring surgery for EI as a secondary diagnosis increased from 54.86% in 2000 to 71.6% in 2015 (P = 0.0019). Among inpatients with EI, the most common cause of EI was a traffic accident (44.79%, especially motorcycles), followed by falls (9.75%) and homicide (6.05%). CONCLUSION: In Taiwan, the annual EI incidence rate slightly increased from 2000 to 2005 and then decreased through 2015. The proportion of EI patients requiring hospitalization decreased from 1.34% in 2000 to 0.63% in 2015, but the percentage of inpatients requiring surgery increased. Traffic accidents (especially those involving motorcyclists) remained the predominant external cause of EI requiring hospitalization during the study period. | [
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|
People living with visual disabilities/impairment are more likely vulnerable to get contracted from the severe acute respiratory syndrome coronavirus-2 (SARS-CoV 2) than people without visual impairment. This means more than 253 million people globally will be at higher risk of affecting by the COVID-19. The current pandemic, followed by a nationwide emergency lockdown to slow the unprecedented spread of the virus, will have a serious impact on people living with visual disabilities and even endangers their lives in the long run. Many restrictive and control measures, including the adoption of new behavioural changes (for example, social distance during outdoor movement, limiting touch or tactile contact) recommended by the government will pose immense challenges to individuals with a visual loss. This serious impact, including challenges in healthcare access, can be minimized through inclusive service approaches, involving persons with visual disabilities, caregivers, family members, and healthcare providers, along with the community to a large extent, and finally, support to improve the overall outcomes. The government, along with profit or non-profit private sectors, should consider initiating such inclusive approaches while planning responses to the pandemic. Indeed, the present COVID-19 pandemic provides an opportunity for health care planners and decision-makers of various organizations across India for a reformation of disabilities care. Impacts due to the pandemic and lockdown can be reduced substantially if planning and policy are in place before any emergency happened in the future. | [
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|
Objective@# To conduct an epidemiological investigation on the first reported case of coronavirus disease 2019 （COVID-19） in Zhejiang Province, so as to provide reference for prevention and control of the disease.@*Methods @#According to the COVID-19 Diagnosis and Treatment Program （Trial） and the COVID-19 Prevention and Control Program （Trial） issued by National Health Commission of China, a field investigation was employed on a case of fever from Wuhan reported by Wenzhou in January 15, 2020; the real-time reverse transcription polymerase chain reaction （RT-PCR） assay was performed to detect the nucleic acid of severe acute respiratory syndrome coronavirus 2 （SARS-CoV-2） from the sputum specimens or throat swabs of the case; the close contacts of the case were tracked down; relevant prevention and control measures were implemented. @*Results @#The case had lived in Wuhan for long. On January 4 of 2020, he felt cold and uncomfortable without obvious inducement, and drove back to Wenzhou with his wife. He had fever （up to 39 ℃）, cough and expectoration on the next day. On January 9, the chest computed tomographic （CT） scan showed bilateral high-density patchy shadowing with blurred edges. On January 16, his throat swab and sputum samples were collected and sent to Zhejiang Provincial Center for Disease Control and Prevention （CDC） for detection of SARS-CoV-2. The result turned out to be positive on January 17, then was rechecked and confirmed by Chinese CDC on January 20. Two weeks before the onset of the disease, the patient was engaged in the door-to-door persuasion of installing elevators in an old residential area of Wuhan, and he denied any connection with other COVID-19 cases,markets,（sick or dead） poultry or poultry products. Totally 26 close contacts were identified and kept in quarantine. During this period,three of them developed fever or respiratory symptoms, but were excluded from COVID-19. On the afternoon of January 16,the health system of Zhejiang Province and Wenzhou City launched an emergency plan and implemented a series of prevention and control measures such as isolation and treatment of cases,screening and isolation of close contacts,and public health education. @*Conclusion @#According to the epidemiological history,clinical features and laboratory test Results,the patient was identified as the first reported case of COVID-19 in Zhejiang Province. | [
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The coronavirus SARS-CoV-2 uses an RNA-dependent RNA polymerase (RdRp) for the replication of its genome and the transcription of its genes1-3. Here we present the cryo-electron microscopic structure of the SARS-CoV-2 RdRp in active form, mimicking the replicating enzyme. The structure comprises the viral proteins nsp12, nsp8, and nsp7, and over two turns of RNA template-product duplex. The active site cleft of nsp12 binds the first turn of RNA and mediates RdRp activity with conserved residues. Two copies of nsp8 bind to opposite sides of the cleft and position the second turn of RNA. Long helical extensions in nsp8 protrude along exiting RNA, forming positively charged 'sliding poles'. These sliding poles can account for the known processivity of the RdRp that is required for replicating the long coronavirus genome3. Our results enable a detailed analysis of the inhibitory mechanisms that underlie the antiviral activity of substances such as remdesivir, a drug for the treatment of coronavirus disease 2019 (COVID-19)4. | [
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|
Why are the epidemic patterns of COVID-19 so different among different cities or countries which are similar in their populations, medical infrastructures, and people's behavior? Why are forecasts or predictions made by so-called experts often grossly wrong, concerning the numbers of people who get infected or die? The purpose of this study is to better understand the stochastic nature of an epidemic disease, and answer the above questions. Much of the work on infectious diseases has been based on"SIR deterministic models,"(Kermack and McKendrick:1927.) We will explore stochastic models that can capture the essence of the seemingly erratic behavior of an infectious disease. A stochastic model, in its formulation, takes into account the random nature of an infectious disease. The stochastic model we study here is based on the"birth-and-death process with immigration"(BDI for short), which was proposed in the study of population growth or extinction of some biological species. The BDI process model ,however, has not been investigated by the epidemiology community. The BDI process is one of a few birth-and-death processes, which we can solve analytically. Its time-dependent probability distribution function is a"negative binomial distribution"with its parameter $r$ less than $1$. The"coefficient of variation"of the process is larger than $\sqrt{1/r}>1$. Furthermore, it has a long tail like the zeta distribution. These properties explain why infection patterns exhibit enormously large variations. The number of infected predicted by a deterministic model is much greater than the median of the distribution. This explains why any forecast based on a deterministic model will fail more often than not. | [
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|
Finding mechanisms to promote the use of face masks is fundamental during the second phase of the COVID-19 pandemic response, when shelter-in-place rules are relaxed and some segments of the population are allowed to circulate more freely. Here we report three pre-registered studies (total N = 1,920), using an heterogenous sample of people living in the USA, showing that priming people to"rely on their reasoning"rather than to"rely on their emotions"significantly increases their intentions to wear a face covering. Compared to the baseline, priming reasoning promotes intentions to wear a face covering, whereas priming emotion has no significant effect. These findings have theoretical and practical implications. Practically, they offer a simple and scalable intervention to promote intentions to wear a face mask. Theoretically, they shed light on the cognitive basis of intentions to wear a face covering. | [
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|
Poly(ADP-ribose) polymerase 1 (PARP1), the major isoform of a family of ADP-ribosylating enzymes, has been implicated in the regulation of various biological processes including DNA repair, gene transcription and cell death. The concept that PARP1 becomes activated in acute lung injury (ALI), and pharmacological inhibition or genetic deletion of this enzyme can provide therapeutic benefits has emerged over 20 years ago. The current article provides an overview of the cellular mechanisms involved in the pathogenetic roles of PARP1 in ALI, and overviews the preclinical data supporting the efficacy of PARP inhibitors. In recent years, several ultrapotent PARP inhibitors have been approved for clinical use (for the therapy of various oncological diseases): these newly-approved PARP inhibitors were recently reported to show efficacy in animal models of ALI. These observations offer the possibility of therapeutic repurposing of these inhibitors for patients with ALI. The current article lays out a potential roadmap for such repurposing efforts. In addition, the article also overviews the scientific basis of potentially applying PARP inhibitors for the experimental therapy of viral ALI, such as COVID-19-associated ARDS. | [
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|
Patients with COVID-19 and acute cardiac injury as measured by an elevated high-sensitivity troponin I or troponin T upon admission or during hospitalization have a mortality rate of over 50% in initial reports. The mechanism of SARS-CoV-2 and associated myocardial injury, whether SARS-CoV-2 patients with myocardial injury are a distinct population, and possible treatment options for myocardial injury associated with SARS-CoV-2 are unknown. | [
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|
Healthcare systems are belligerently responding to the new Coronavirus Disease 2019 (COVID-19). The severe acute respiratory syndrome (SARS co-V2) is a specific condition, whose distinctive features are severe hypoxemia associated with (>50% of cases) normal respiratory system compliance. When a patient requires intubation and invasive ventilation the outcome is poor and the length of stay in the intensive care unit (ICU) is usually two or three weeks. In this manuscript, authors will review several technological devices, which could support healthcare providers at the bedside to optimise the care for COVID-19 patients who are sedated, paralysed and ventilated. Particular attention is provided to the use of video-laryngoscopes (VL) because these can assist anaesthetists to perform a successful intubation outside the ICU while protecting healthcare providers from this viral infection. Authors will also review processed electroencephalographic (EEG) monitors which are used to better titrate sedation and the train of four monitors which are utilised to better titrate neuromuscular blocking agents in the view of sparing limited pharmacological resources. COVID-19 can rapidly exhaust human and technological resources too within the ICU. This review features a series of technological advancements that can significantly improve the care of patients requiring isolation. The working conditions in isolation could cause gaps or barriers in communication, fatigue and poor documentation of provided care. The available technology has several advantages including: a) facilitating appropriate paperless documentation and communication between all healthcare givers working in isolation rooms or large isolation areas; b) testing patients and staff at the bedside using smart point of care diagnostics (SPOCD) to confirm COVID-19 infection; c) allowing diagnostics and treatment at the bedside through point of care ultrasound (POCUS) and Thromboelastography (TEG); d) adapting the use of anaesthetic machines and the use of volatile anaesthetics. Implementing technologies for safeguarding healthcare providers as well as monitoring the limited pharmacological resources is paramount. Only by leveraging new technologies it will be possible to sustain and support healthcare systems during the expected long course of this pandemic. | [
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] |
The novel coronavirus disease 2019 (COVID-19) pandemic has urged the development and implementation of guidelines and protocols on diagnosis, management, infection control strategies, and discharge planning. However, very little is currently known about neonatal COVID-19 and severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infections. Thus, many questions arise with regard to respiratory care after birth, necessary protection to health care workers (HCW) in the delivery room and neonatal intensive care unit (NICU), and safety of bag and mask ventilation, noninvasive respiratory support, deep suctioning, endotracheal intubation, and mechanical ventilation. Indeed, these questions have created tremendous confusion amongst neonatal HCW. In this manuscript, we comprehensively reviewed the current evidence regarding COVID-19 perinatal transmission, respiratory outcomes of neonates born to mothers with COVID-19 and infants with documented SARS-CoV-2 infection, and the evidence for using different respiratory support modalities and aerosol-generating procedures in this specific population. The results demonstrated that to date, neonatal COVID-19 infection is uncommon, generally acquired postnatally, and associated with favorable respiratory outcomes. The reason why infants display a milder spectrum of disease remains unclear. Nonetheless, the risk of severe or critical illness in young patients exists. Currently, the recommended respiratory approach for infants with suspected or confirmed infection is not evidence based but should include all routinely used types of support, with the addition of viral filters, proper personal protective equipment, and placement of infants in isolation rooms, ideally with negative pressure. As information is changing rapidly, clinicians should frequently watch out for updates on the subject. KEY POINTS: · Novel coronavirus disease 2019 (COVID-19) pandemic urged development of guidelines.. · Neonatal COVID-19 disease is uncommon.. · Respiratory outcomes in neonates seems favorable.. · Current neonatal respiratory care should continue.. · Clinicians should watch frequently for updates.. | [
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] |
|
To determine distribution of severe acute respiratory syndrome coronavirus 2 in hospital wards in Wuhan, China, we tested air and surface samples. Contamination was greater in intensive care units than general wards. Virus was widely distributed on floors, computer mice, trash cans, and sickbed handrails and was detected in air ≈4 m from patients. | [
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Background: At the beginning of the New Year 2020, China alerted the world health organization (WHO) to a cluster of unusual pneumonia cases in Wuhan After extensive speculation, eventually a new species of coronavirus introduced as the causative pathogen of the disease Coronavirus disease 2019 (COVID-19) is a name for the disease, and the virus that causes it is known SARS-CoV-2 The very rapid spread of the COVID-19 in China and in many other countries has caused fear among people across the world The novel coronavirus outbreak declared a Public Health Emergency of International Concern on 30 January 2020 Materials and Methods: Several databases such as PubMed, Scopus, Google scholar, and BioRxiv were searched for publications reporting on the novel coronavirus up to 29 February 2020 Literature searches were performed using keywords including “Coronavirus 2019”, “2019-nCoV”, “COVID-19”, and “SARS-CoV-2” Moreover, websites such as the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC) were searched to retrieve updated data and statistics regarding the novel coronavirus We extracted data on the epidemiology, pathogenesis, virology, clinical manifestations, transmission routes, diagnosis, treatment, and prevention measures Results: From the 1416 articles identified in the initial search, 53 were remained after title and abstract screening After full-text review, 37 articles were eligible to include in our study Incubation period for COVID-19 is between 2-10 days, according to the World Health Organization (WHO) The case fatality rate in patients infected with SARC-CoV-2 is 4 3%, and the results indicate that the mortality is higher in elderly individuals and patients with chronic conditions including patients with coronary artery disease, diabetes, chronic pulmonary disease, and hypertension The mortality rate in healthy subjects is less than 1% Conclusion: The outbreak caused by the novel coronavirus is larger than the previous human coronaviruses, showing that the SARS-CoV-2 is an extremely contagious virus However, the mortality rate of COVID-19 is lower than that of other coronaviruses diseases such as SARS or MERS and other viruses like HIV and Ebola Currently, due to the lack of an effective treatment and vaccine, the best way to deal with the COVID-19 disease is to prevent transmission and spread of the virus and to execute personal protective measures | [
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] |
The COVID-19 epidemic has spawned an "infodemic," with excessive and unfounded information that hinders an appropriate public health response. This perspective describes a selection of COVID-19 fake news that originated in Peru and the government's response to this information. Unlike other countries, Peru was relatively successful in controlling the infodemic possibly because of the implementation of prison sentences for persons who created and shared fake news. We believe that similar actions by other countries in collaboration with social media companies may offer a solution to the infodemic problem. | [
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AIM: To describe the incidental detection of COVID-19 disease on positron-emission tomography/computed tomography (PET/CT) in a patient with cancer despite initial negative swab by polymerase chain reaction (PCR). CASE REPORT: Clinical and radiographic data were obtained from the electronic medical record. Nasopharyngeal swabs were obtained and evaluated for COVID-19 by the Food and Drug Administration-approved reverse transcription-PCR assays. On radiographic examination, PET/CT was consistent with COVID-19-related pneumonia not seen on prior imaging. Initial nasopharyngeal swab 2 days after PET/CT imaging was negative for COVID-19. Subsequent repeat swab 10 days later was positive for COVID-19, while the patient was febrile on screening assessment. The patient remained COVID-19-positive until 1 month after abnormal PET/CT imaging. CONCLUSION: PET/CT can be sensitive for early COVID-19 detection, even in the setting of a negative confirmatory PCR test. This highlights the importance of continued patient surveillance and use of appropriate personal protective equipment to minimize COVID-19 transmission. | [
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Coronavirus disease 2019 (COVID-19) is an infectious disease with first symptoms similar to the flu. COVID-19 appeared first in China and very quickly spreads to the rest of the world, causing then the 2019-20 coronavirus pandemic. In many cases, this disease causes pneumonia. Since pulmonary infections can be observed through radiography images, this paper investigates deep learning methods for automatically analyzing query chest X-ray images with the hope to bring precision tools to health professionals towards screening the COVID-19 and diagnosing confirmed patients. In this context, training datasets, deep learning architectures and analysis strategies have been experimented from publicly open sets of chest X-ray images. Tailored deep learning models are proposed to detect pneumonia infection cases, notably viral cases. It is assumed that viral pneumonia cases detected during an epidemic COVID-19 context have a high probability to presume COVID-19 infections. Moreover, easy-to-apply health indicators are proposed for estimating infection status and predicting patient status from the detected pneumonia cases. Experimental results show possibilities of training deep learning models over publicly open sets of chest X-ray images towards screening viral pneumonia. Chest X-ray test images of COVID-19 infected patients are successfully diagnosed through detection models retained for their performances. The efficiency of proposed health indicators is highlighted through simulated scenarios of patients presenting infections and health problems by combining real and synthetic health data. | [
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Early last month, the Italian Society of Anaesthesia was forced to publish the above guideline (1) for the country's hospitals. Besides the rising cases of infection, the doctors realised that patients required up to 15-20 days of intensive care as the disease progressed (2). In the face of medical resource scarcities, the guideline established that everyone could not be saved from the coronavirus. And a massive death toll ensued. | [
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The massive inflow of patients with COVID-19 requiring urgent care has overloaded hospitals in France and impacts the management of other patients. Deferring hospitalization and non-urgent surgeries has become a priority for surgeons today in order to relieve the health care system.It is obviously not simple to reduce emergency surgery without altering the quality of care or leading to a loss of chance for the patient. Acute appendicitis is a very specific situation and the prevalence of this disease leads us to reconsider this particular disease in the context of the COVID-19 crisis. Indeed, while the currently recommended treatment for uncomplicated acute appendicitis is surgical appendectomy, the non-surgical alternative of medical management by antibiotic therapy alone has been widely evaluated by high-quality studies in the literature. Insofar as the main limitation of exclusively medical treatment of uncomplicated acute appendicitis is the risk of recurrent appendicitis, this treatment option represents an alternative of choice to reduce the intra-hospital overload in this context of health crisis.The aim of this work is therefore to provide physicians and surgeons with a practical guide based on a review of the literature on the medical treatment of uncomplicated acute appendicitis in adults, to offer this alternative treatment to the right patients and under good conditions, especially when access to the operating room is limited or impossible. | [
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More men than women have died from COVID-19. Genes encoded on X chromosomes, and sex hormones may explain the decreased fatality of COVID-19 in women. The angiotensin-converting enzyme 2 gene is located on X chromosomes. Men, with a single X chromosome, may lack the alternative mechanism for cellular protection after exposure to SARS-CoV-2. Some Toll-like receptors encoded on the X chromosomes can sense SARS-CoV-2 nucleic acids, leading to a stronger innate immunity response in women. Both estrogen and estrogen receptor-α contribute to T cell activation. Interventional approaches including estrogen-related compounds and androgen receptor antagonists may be considered in patients with COVID-19. | [
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] |
Pandemics are by nature "out of the blue." Their unpredictable nature and impact can leave nurses and support systems reeling. Nurses are physically and emotionally exhausted but also may be isolated from the physical and emotional support of families and other loved ones. As leaders concurrently manage the logistical and resource challenges of the COVID-19 epidemic, it is essential for leaders to also lift their gaze to the future. Leaders can be a force multiplier for supporting resilience in their teams. [J Contin Educ Nurs. 2020;51(5):203-204]. | [
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|
INTRODUCTION: COVID-19 is an unprecedented challenge for physicians and scientists. Several publicized drugs are being used with not much evidence of their efficacy such as hydroxychloroquine, azithromycin or lopinavir-ritonavir. Yet, the cardiac safety of these drugs in COVID-19 deserves scrutiny as they are known to foster cardiac adverse ADRs, notably QTc interval prolongation on the electrocardiogram and its arrhythmogenic consequences. METHODS: Since March 27th, 2020, the French Pharmacovigilance Network directed all cardiac adverse drug reactions associated with "off-label" use of hydroxychloroquine, azithromycin and lopinavir-ritonavir in COVID-19 to the Nice Regional Center of Pharmacovigilance. Each Regional Center of Pharmacovigilance first assessed causality of drugs. We performed a specific analysis of these cardiac adverse drug reactions amidst an array of risk factors, reassessed the electrocardiograms and estimated their incidence in coronavirus disease 2019. RESULTS: In one month, 120 reports of cardiac adverse drug reactions have been notified, 103 of which associated with hydroxychloroquine alone (86%), or associated with azithromycin (60%). Their estimated incidence is 0.77% to 1.54% of all patients, notwithstanding strong underreporting. Lopinavir-ritonavir came third with 17 reports (14%) and chloroquine fourth with 3 reports (2.5%). There were 8 sudden, unexplained or aborted deaths (7%), 8 ventricular arrhythmias (7%), 90 reports of prolonged QTc (75%) most of them "serious" (64%), 48 of which proved ≥ 500ms, 20 reports of severe conduction disorders (17%) and 5 reports of other cardiac causes (4%). Six reports derived from automedication. DISCUSSION AND CONCLUSION: "Off-label" use of treatments in COVID-19 increases the risk of cardiac ADRs, some of them avoidable. Even if these drugs are perceived as familiar, they are used in patients with added risk factors caused by infection. Precautions should be taken to mitigate the risk, even if they will be proven efficacious. | [
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In the last decades lung ultrasound (LUS) has become of crucial importance in the evaluation and monitoring of a widely range of pulmonary diseases. One of the major benefits which favours this examination, is that this is a non-invasive, low-cost and radiation-free imaging modality which allows repeated imaging. LUS plays an important role in a wide range of pathologies, including cardiogenic oedema, acute respiratory distress syndrome and fibrosis. Specific LUS findings have proved useful and predictive of acute respiratory distress syndrome which is of particular relevance in the suspicion and monitoring of patients with lung disease. Furthermore, several studies have confirmed the role of LUS in the screening of interstitial lung diseases in connective tissue diseases. Given these data, LUS will likely play an important role in the management of COVID-19 patients from identification of specific abnormalities corresponding to definite pneumonia phases and CT scans findings. In addition, LUS could allow reduction in the exposure of health-care workers to potential infection. Herein, we provide a summary on emerging role of lung ultrasound in COVID-19 pneumonia. | [
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] |
PURPOSE: To investigate the ocular manifestations and clinical characteristics of COVID-19 patients caused by SARS-CoV-2 in Wuhan, China. METHODS: A total of 535 COVID-19 patients were recruited at Mobile Cabin Hospital and Tongji Hospital. Information on demographic characteristics, exposure history, ocular symptoms, eye drop medication, eye protections, chronic eye diseases, systemic concomitant symptoms, radiologic findings and SARS-CoV-2 detection in nasopharyngeal swabs by real-time PCR was collected from questionnaires and electronic medical records. RESULTS: Of 535 patients, 27 patients (5.0%) presented with conjunctival congestion and 4 patients had conjunctival congestion as the initial symptom. The average duration of conjunctival congestion was 5.9 ± 4.5 days (mean [SD]). The other ocular symptoms, including increased conjunctival secretion, ocular pain, photophobia, dry eye and tearing, were also found in patients with conjunctival congestion. Notably, hand-eye contact was independently correlated with conjunctival congestion in COVID-19 patients. We also found that some COVID-19 patients had chronic eye diseases, including conjunctivitis (33, 6.2%), xerophthalmia (24, 4.5%) and keratitis (14, 2.6%). Similar to the published studies, the most common clinical symptoms were fever, cough and fatigue. A total of 343 patients (64.1%) had positive SARS-CoV-2 detection in nasopharyngeal swabs. CONCLUSIONS: Conjunctival congestion is one of the COVID-19-related ocular symptoms, which could occur as the initial symptoms. Frequent hand-eye contact may be the risk factor for conjunctival congestion in COVID-19 patients. Screening of patients with conjunctival congestion by ophthalmologists is advocated during the outbreak of COVID-19. It is essential to provide eye-care equipment and strengthen education on eye protection. | [
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] |
|
OBJECTIVE: To report 3 patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) who developed generalized myoclonus. METHODS: Patient data were obtained from medical records from the University Hospital "12 de Octubre," Madrid, Spain. RESULTS: Three patients (2 men and 1 woman, aged 63-88 years) presented with mild hypersomnia and generalized myoclonus following the onset of the so-called inflammatory phase of coronavirus disease 2019 (COVID-19). All of them had presented previously with anosmia. Myoclonus was generalized with both positive and negative jerks, predominantly involving the facial, trapezius, sternocleidomastoid, and upper extremities muscles. These myoclonic jerks occurred spontaneously and were extremely sensitive to multisensory stimuli (auditive and tactile) or voluntary movements, with an exaggerated startle response. Other causes of myoclonus were ruled out, and none of the patients had undergone respiratory arrest or significant prolonged hypoxia. All of them improved, at least partially, with immunotherapy. CONCLUSIONS: Our 3 cases highlight the occurrence of myoclonus during the COVID-19 pandemic as a post- or para-infectious immune-mediated disorder. However, we cannot rule out that SARS-CoV-2 may spread transneuronally to first- and second-order structures connected with the olfactory bulb. Further investigation is required to clarify the full clinical spectrum of neurologic symptoms and optimal treatment. | [
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Ichthyosis also called fish scale disease is a group of skin diseases, which are characterised by xerosis and scaling. Most commonly, the diseases are genetically inherited, but an acquired type also exists. Ichthyosis vulgaris (IV), is the most common type, affecting 1:250 individuals. Diagnosing IV can be challenging, because its clinical features are subject to great variation, ranging from mild cases with slight xerosis to severe cases with marked scaling and formation of fissures. In this review, IV and its most relevant differential diagnoses, X-linked ichthyosis, autosomal recessive congenital ichthyosis and acquired ichthyosis are reviewed. | [
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|
Iran, along with China, South Korea, and Italy was among the countries that were hit hard in the first wave of the COVID-19 spread. Twitter is one of the widely-used online platforms by Iranians inside and abroad for sharing their opinion, thoughts, and feelings about a wide range of issues. In this study, using more than 530,000 original tweets in Persian/Farsi on COVID-19, we analyzed the topics discussed among users, who are mainly Iranians, to gauge and track the response to the pandemic and how it evolved over time. We applied a combination of manual annotation of a random sample of tweets and topic modeling tools to classify the contents and frequency of each category of topics. We identified the top 25 topics among which living experience under home quarantine emerged as a major talking point. We additionally categorized broader content of tweets that shows satire, followed by news, is the dominant tweet type among the Iranian users. While this framework and methodology can be used to track public response to ongoing developments related to COVID-19, a generalization of this framework can become a useful framework to gauge Iranian public reaction to ongoing policy measures or events locally and internationally. | [
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After initially emerging in China, the coronavirus (COVID-19) outbreak has advanced rapidly. The World Health Organization (WHO) has recently declared it a pandemic, with Europe becoming its new epicentre. Italy has so far been the most severely hit European country and demand for critical care in the northern region currently exceeds its supply. This raises significant ethical concerns, among which is the allocation of scarce resources. Professionals are considering the prioritisation of patients most likely to survive over those with remote chances, and this news has triggered an intense debate about the right of every individual to access healthcare. The proposed analysis suggests that the national emergency framework in which prioritisation criteria are currently enforced should not lead us to perceive scarce resources allocation as something new. From an ethical perspective, the novelty of the current emergency is not grounded in the devastating effects of scarce resources allocation, which is rife in recent and present clinical practice. Rather, it has to do with the extraordinarily high number of people who find themselves personally affected by the implications of scarce resources allocation and who suddenly realise that the principle of 'equals should be treated equally' may no longer be applicable. Along with the need to allocate appropriate additional financial resources to support the healthcare system, and thus to mitigate the scarcity of resources, the analysis insists on the relevance of a medical ethics perspective that does not place the burden of care and choice solely on physicians. | [
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|
The COVID-19 pandemic has caused a sense of unease in the rheumatology community about the risk to patients with immune-mediated diseases, given their predisposition to infection due to underlying disease states and immunosuppressive therapies. Thus far, there have been few cases of COVID-19 reported in patients with immune-mediated diseases and there have been no formal guidelines released on the management of patients with immune-mediated diseases in the setting of COVID-19. Results of clinical trials and data from the Global Rheumatology Alliance registry are eagerly awaited to gain further insight into the impact of this novel infection on our vulnerable patient population. | [
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The COVID-19 pandemic represents the greatest challenge to date faced by the medical community in the 21st century. The rate of rapid dissemination, magnitude of viral contagiousness, person to person transmission at an asymptomatic phase of illness pose a unique and dangerous challenge for all patients, including neonatal and obstetric patients. Although scientific understanding of the pathophysiology of the disease, nature of transmission, and efficacy of mitigation strategies is growing, neither a cure or vaccine have been developed. While COVID-19 is primarily a disease of older patients, infection is now seen across all age demographics with reports of illness in pregnant patients and infants. Altered hormone status and predominance of Th-2 immune helper cells may result in increased predisposition to SARS-CoV-2. Case reports of pregnant patients demonstrate a clinical presentation comparable to non-pregnant adults, but evidence of vertical transmission to the fetus is controversial. Neonatal reports demonstrate an inconsistent and non-specific phenotype, and it is often difficult to separate COVID-19 from the underlying conditions of prematurity or bacterial infection. The development of international registries to enable risk profiling of COVID-19 positive pregnant mothers and/or their offspring may facilitate the development of enhanced mitigation strategies, medical treatments and effective vaccinations. | [
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Diabetes mellitus is one of the most common endocrine disorders characterized by relative or absolute lack of insulin; this can lead to several ocular manifestations, among them diabetic retinopathy and cataracts. Diabetic retinopathy (DR) is a microangiopathy that involves retinal precapillary arterioles, postcapillary venules, and large vessels, causing them to be functionally and anatomically incompetent. Hyperglycemia seems to be the most probable cause of damage to the retina due to interference in cellular metabolism and transduction processes. The aim of this study was to evaluate retinal thickness in eight diabetic dogs, four females and four males of different breeds and ages ranging from 6 to 15 years, by optical coherence tomography (OCT) and to compare them with non-diabetic dogs. Assessment provided by OCT in diabetic dogs showed retinal layers thinning and loss of stratification when compared to non-diabetic dogs (198μm versus 219μm respectively), with statistical significance (p=0.008). OCT images may suggest that diabetes mellitus causes retinal neuropathy in dogs, as also seen in diabetic humans.(AU) | [
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|
BACKGROUND: Adults with CHD are known to greatly benefit from a prompt access to continuous expert care. On the other hand, Covid-19 pandemic has determined a dramatic worldwide reconfiguration of the healthcare systems, with rapid redeployment of resources towards this emergency. Italy was the first western country affected by a large-scale spread of Covid-19. The aim of our study is to analyse the impact of the Covid-19 outbreak on in-hospital care of patients with CHD in an Italian tertiary centre. METHODS AND RESULTS: We retrospectively reviewed data on CHD hospital admissions in our centre since March 1st 2020, when the adoption of a strict infection containment policy throughout the country resulted in limited access of patients to routine hospital care and resources reallocation to the care of COVID-19 patients. Comparison with data from the previous year was performed in order to identify any relevant differences attributable to the outbreak. Despite cancellation of all elective procedures, the overall number of urgent hospital admission remained stable throughout the period of study. Patients admitted during the pandemic had greater disease complexity (p=0.001) with longer length on in-hospital stay (p=0.01). No adverse events or positive swabs were reported among CHD patients who were admitted to hospital or medical personnel caring for these patients. CONCLUSION: Data from our early experience suggest that Covid-19 pandemic did not impact significantly on the provision of urgent care to adult patients with CHD. | [
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] |
Currently there is no effective antiviral therapy for SARS-CoV-2 infection, which frequently leads to fatal inflammatory responses and acute lung injury. Here, we discuss the various mechanisms of SARS-CoV-mediated inflammation. We also assume that SARS-CoV-2 likely shares similar inflammatory responses. Potential therapeutic tools to reduce SARS-CoV-2-induced inflammatory responses include various methods to block FcR activation. In the absence of a proven clinical FcR blocker, the use of intravenous immunoglobulin to block FcR activation may be a viable option for the urgent treatment of pulmonary inflammation to prevent severe lung injury. Such treatment may also be combined with systemic anti-inflammatory drugs or corticosteroids. However, these strategies, as proposed here, remain to be clinically tested for effectiveness. | [
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