title: Optimal step length for the Newton method near the minimum of a self-concordant function

text: The quadratic convergence region of the exact Newton method around the minimum of a self-concordant function makes up a fraction of the Dikin ellipsoid. Outside of this region, the Newton method has to be damped in order to ensure convergence. However, the available estimates of both the size of the convergence region and the step length to be used outside of it are based on conservative relations between the Hessians at different points and are hence sub-optimal. In this contribution we use methods of optimal control theory to compute the optimal step length of the Newton method on the class of self-concordant functions, as a function of the Newton decrement. With this step length quadratic convergence can be achieved on the whole Dikin ellipsoid. The exact bounds are expressed in terms of solutions of ordinary differential equations which cannot be integrated explicitly. As an application, the neighbourhood of the central path in which the iterates of short-step interior point methods for conic programming are required to stay can be enlarged, enabling faster progress along the central path during each iteration and hence fewer iterations to achieve a given accuracy.


title: [The virtual ward - the students' clinical education during the current pandemic]

text: On March 17, 2020, the Swedish Government recommended all higher education institutions to move to online and distance learning during the COVID-19 pandemic The integrated course in Infection, Microbiology, and Immunity at the Programme in Medicine at University of Gothenburg had to be completely transformed Creative solutions have now replaced the clinical training that normally takes place during the students' clinical education at the hospital We developed a digital concept entitled "the virtual ward", in which we interact with the students in real time Here, the students are able to follow their patients on a daily basis during teacher-guided sessions


title: Covid 19 pandemic and gynaecological laparoscopic surgery: knowns and unknowns

text: The worldwide impact of COVID 19 continues to be felt as hospitals in all countries reduce elective and non-urgent cases to allow staffing and resources to be deployed elsewhere Urgent gynaecological and cancer procedures are continuing, and it is imperative all theatre staff are protected and risks of SARS-CoV-2 viral transmission reduced when operating on asymptomatic, suspected or confirmed COVID 19 patients In particular, there are concerns relating to the transmission of COVID 19 during gynaecological laparoscopic surgery, arising from the potential generation of SARS-CoV-2 contaminated aerosols from CO2 leakage and the creation of smoke from the use of energy devices The aim of this paper is to review all the up to date evidence, including experiences from China and Italy, to guide the safe management of such patients when undergoing gynaecological procedures


Covid-19: undocumented migrants are probably at greatest risk


Coronavirus misinformation needs researchers to respond


title: Prediction and analysis of Coronavirus Disease 2019

text: In December 2019, a novel coronavirus was found in a seafood wholesale market in Wuhan, China. WHO officially named this coronavirus as COVID-19. Since the first patient was hospitalized on December 12, 2019, China has reported a total of 78,824 confirmed CONID-19 cases and 2,788 deaths as of February 28, 2020. Wuhan's cumulative confirmed cases and deaths accounted for 61.1% and 76.5% of the whole China mainland , making it the priority center for epidemic prevention and control. Meanwhile, 51 countries and regions outside China have reported 4,879 confirmed cases and 79 deaths as of February 28, 2020. COVID-19 epidemic does great harm to people's daily life and country's economic development. This paper adopts three kinds of mathematical models, i.e., Logistic model, Bertalanffy model and Gompertz model. The epidemic trends of SARS were first fitted and analyzed in order to prove the validity of the existing mathematical models. The results were then used to fit and analyze the situation of COVID-19. The prediction results of three different mathematical models are different for different parameters and in different regions. In general, the fitting effect of Logistic model may be the best among the three models studied in this paper, while the fitting effect of Gompertz model may be better than Bertalanffy model. According to the current trend, based on the three models, the total number of people expected to be infected is 49852-57447 in Wuhan,12972-13405 in non-Hubei areas and 80261-85140 in China respectively. The total death toll is 2502-5108 in Wuhan, 107-125 in Non-Hubei areas and 3150-6286 in China respetively. COVID-19 will be over p robably in late-April, 2020 in Wuhan and before late-March, 2020 in other areas respectively.


title: COVID-19 Disease in Children: What Dentists Should Know and Do to Prevent Viral Spread. The Italian Point of View

text: Coronavirus disease 2019 (COVID-19) has spread rapidly across the globe, becoming a major public health challenge not for China only, but also for countries around the world. Despite worldwide efforts to contain viral spread, the outbreak has not been stopped yet. Among healthcare personnel, dentists seem to be at elevated risk of exposure to COVID-19. This risk is even more serious in pediatric dentistry, since affected children, frequently, present an asymptomatic, mild or moderate clinical viral infection and, therefore, they may play a major role in community-based COVID-19 transmission. To date, despite no universal guidelines are available for dental procedures in pediatric dentistry during COVID-19 outbreak, routine dental practice should be postponed and only severe dental emergencies must be treated. In the case of a dental emergency, involving a pediatric patient, dentists should be aware of which recommended management protocol can be adopted during the practice to protect patient health, to safeguard their-self and to prevent viral transmission. The aim of this paper is to provide clinical recommendations, presenting a needed tool for dentists to allow a valid and safe how-to-do protocol. Pediatric dentists should keep a high level of awareness to help patients, minimize risk and prevent viral spread.


Further aspects of doxycycline therapy in COVID-19


Rohingya refugees at high risk of COVID-19 in Bangladesh


title: Prior treatment with immunosuppressants among COVID-19 inpatients at one hospital in Spain

text: Vulnerability to coronavirus disease 2019 (COVID-19) in patients with cardiovascular risk factors is well known. However, the prognostic influence of immunosuppressive drugs or their ability to counteract the cytokine storm involving critically-ill patients are uncertain. The scarce related literature mainly involves transplantation.


title: A single-cell atlas of the peripheral immune response in patients with severe COVID-19

text: There is an urgent need to better understand the pathophysiology of Coronavirus disease 2019 (COVID-19), the global pandemic caused by SARS-CoV-2, which has infected more than three million people worldwide1. Approximately 20% of patients with COVID-19 develop severe disease and 5% of patients require intensive care2. Severe disease has been associated with changes in peripheral immune activity, including increased levels of pro-inflammatory cytokines3,4 that may be produced by a subset of inflammatory monocytes5,6, lymphopenia7,8 and T cell exhaustion9,10. To elucidate pathways in peripheral immune cells that might lead to immunopathology or protective immunity in severe COVID-19, we applied single-cell RNA sequencing (scRNA-seq) to profile peripheral blood mononuclear cells (PBMCs) from seven patients hospitalized for COVID-19, four of whom had acute respiratory distress syndrome, and six healthy controls. We identify reconfiguration of peripheral immune cell phenotype in COVID-19, including a heterogeneous interferon-stimulated gene signature, HLA class II downregulation and a developing neutrophil population that appears closely related to plasmablasts appearing in patients with acute respiratory failure requiring mechanical ventilation. Importantly, we found that peripheral monocytes and lymphocytes do not express substantial amounts of pro-inflammatory cytokines. Collectively, we provide a cell atlas of the peripheral immune response to severe COVID-19.


title: Recommendations for Surgery During the Novel Coronavirus (COVID-19) Epidemic

text: The whole world is going through an unprecedented period during the pandemic of COVID-19. This pandemic has affected all aspects of daily life with far-reaching implications, especially in most aspects of healthcare. Practice of surgery across the globe is in a standstill as of now. When we restart surgical practices across world, we have to bring new protocols and practices in place to combat the transmission. This article discusses the major changes in surgical practice, which need to be brought in. This article is based on scientific information about transmission of virus and experiences of some of the authors from China, a country which successfully dealt with and contained the virus outbreak.


COVID-19 Pandemic as a Driver for Spreading Virtual Care Globally: The Future Starts Now


Covid-19: Leading statistician welcomes UK government's move to improve testing data


Is it ethical to be a 'whistleblower' during COVID-19 pandemic? Ethical challenges confronted by health care workers in China


title: Exploring the genomic and proteomic variations of SARS-CoV-2 spike glycoprotein: A computational biology approach

text: The newly identified SARS-CoV-2 has now been reported from around 185 countries with more than a million confirmed human cases including more than 120,000 deaths. The genomes of SARS-COV-2 strains isolated from different parts of the world are now available and the unique features of constituent genes and proteins need to be explored to understand the biology of the virus. Spike glycoprotein is one of the major targets to be explored because of its role during the entry of coronaviruses into host cells. We analyzed 320 whole-genome sequences and 320 spike protein sequences of SARS-CoV-2 using multiple sequence alignment. In this study, 483 unique variations have been identified among the genomes of SARS-CoV-2 including 25 nonsynonymous mutations and one deletion in the spike (S) protein. Among the 26 variations detected in S, 12 variations were located at the N-terminal domain (NTD) and 6 variations at the receptor-binding domain (RBD) which might alter the interaction of S protein with the host receptor angiotensin-converting enzyme 2 (ACE2). Besides, 22 amino acid insertions were identified in the spike protein of SARS-CoV-2 in comparison with that of SARS-CoV. Phylogenetic analyses of spike protein revealed that Bat coronavirus have a close evolutionary relationship with circulating SARS-CoV-2. The genetic variation analysis data presented in this study can help a better understanding of SARS-CoV-2 pathogenesis. Based on results reported herein, potential inhibitors against S protein can be designed by considering these variations and their impact on protein structure.


title: Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve

text: The global outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic has uncovered the fragility of healthcare and public health preparedness and planning against epidemics/pandemics. In addition to the medical practice for treatment and immunization, it is vital to have a thorough understanding of community spread phenomena as related research reports 17.9-30.8% confirmed cases to remain asymptomatic. Therefore, an effective assessment strategy is vital to maximize tested population in a short amount of time. This article proposes an Artificial Intelligence (AI)-driven mobilization strategy for mobile assessment agents for epidemics/pandemics. To this end, a self-organizing feature map (SOFM) is trained by using data acquired from past mobile crowdsensing (MCS) campaigns to model mobility patterns of individuals in multiple districts of a city so to maximize the assessed population with minimum agents in the shortest possible time. Through simulation results for a real street map on a mobile crowdsensing simulator and considering the worst case analysis, it is shown that on the 15th day following the first confirmed case in the city under the risk of community spread, AI-enabled mobilization of assessment centers can reduce the unassessed population size down to one fourth of the unassessed population under the case when assessment agents are randomly deployed over the entire city.


title: Practical approaches to pedagogically rich online tutorials in health professions education

text: Health professions education in tertiary, industrial and other contexts often entails face-to-face small group learning through tutorials. The current novel coronavirus, COVID-19, has reduced face-to-face contact, and this has challenged how health professionals and clinical students can access training, accreditation and development. Online and other remote mechanisms are available to tutors and course designers; however, they might not feel comfortable with such affordances, in light of expectations to so rapidly change familiar teaching and delivery styles. This may result in the loss of interaction and disruption of peer learning, which are hallmarks of the small group tutorial. Collaborative learning is essential to develop and refine an emerging sense of belonging to a professional community through formal studies, and interactive learning is a requirement for some registered health professions to satisfy ongoing professional accreditation. Online media has been used to promote social learning in regional, rural and remote communities for some time. Strategies for learning activity design and tutor training are proposed to equip course designers and educators to support health professions education remotely, through the synchronous, online small group. This may herald a new era of increased access to training and professional development for non-urban learners, beyond COVID-19.


Is Hydroxychloroquine a possible post-exposure prophylaxis drug to limit the transmission to health care workers exposed to COVID19?


title: Drug repositioning: a brief overview

text: OBJECTIVES: Drug repositioning, that is, the use of a drug in an indication other than the one for which it was initially marketed, is a growing trend. Its origins lie mainly in the attrition experienced in recent years in the field of new drug discovery. KEY FINDINGS: Despite some regulatory and economic challenges, drug repositioning offers many advantages, and a number of recent successes have confirmed both its public health benefits and its commercial value. The first examples of successful drug repositioning mainly came about through serendipity like acetylsalicylic acid, thalidomide, sildenafil or dimethylfumarate. CONCLUSION: The history of great-repositioned drugs has given some solutions to various pathologies. Serendipity is not yet useful to find repositioning drugs. Drug repositioning is of growing interest. Nowadays, a more rational approach to the identification of drug candidates for repositioning is possible, especially using data mining.


title: Mortality and Advanced Support Requirement for Patients With Cancer With COVID-19: A Mathematical Dynamic Model for Latin America

text: PURPOSE: In the midst of a global pandemic, evidence suggests that similar to other severe respiratory viral infections, patients with cancer are at higher risk of becoming infected by COVID-19 and have a poorer prognosis. METHODS: We have modeled the mortality and the intensive care unit (ICU) requirement for the care of patients with cancer infected with COVID-19 in Latin America. A dynamic multistate Markov model was constructed. Transition probabilities were estimated on the basis of published reports for cumulative probability of complications. Basic reproductive number (R0) values were modeled with R using the EpiEstim package. Estimations of days of ICU requirement and absolute mortality were calculated by imputing number of cumulative cases in the Markov model. RESULTS: Estimated median time of ICU requirement was 12.7 days, median time to mortality was 16.3 days after infection, and median time to severe event was 8.1 days. Peak ICU occupancy for patients with cancer was calculated at 16 days after infection. Deterministic sensitivity analysis revealed an interval for mortality between 18.5% and 30.4%. With the actual incidence tendency, Latin America would be expected to lose approximately 111,725 patients with cancer to SARS-CoV-2 (range, 87,116-143,154 patients) by the 60th day since the start of the outbreak. Losses calculated vary between < 1% to 17.6% of all patients with cancer in the region. CONCLUSION: Cancer-related cases and deaths attributable to SARS-CoV-2 will put a great strain on health care systems in Latin America. Early implementation of interventions on the basis of data given by disease modeling could mitigate both infections and deaths among patients with cancer.


title: Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents

text: Currently, the emergence of a novel human coronavirus, SARS-CoV-2, has become a global health concern causing severe respiratory tract infections in humans. Human-to-human transmissions have been described with incubation times between 2-10 days, facilitating its spread via droplets, contaminated hands or surfaces. We therefore reviewed the literature on all available information about the persistence of human and veterinary coronaviruses on inanimate surfaces as well as inactivation strategies with biocidal agents used for chemical disinfection, e.g. in healthcare facilities. The analysis of 22 studies reveals that human coronaviruses such as Severe Acute Respiratory Syndrome (SARS) coronavirus, Middle East Respiratory Syndrome (MERS) coronavirus or endemic human coronaviruses (HCoV) can persist on inanimate surfaces like metal, glass or plastic for up to 9 days, but can be efficiently inactivated by surface disinfection procedures with 62-71% ethanol, 0.5% hydrogen peroxide or 0.1% sodium hypochlorite within 1 minute. Other biocidal agents such as 0.05-0.2% benzalkonium chloride or 0.02% chlorhexidine digluconate are less effective. As no specific therapies are available for SARS-CoV-2, early containment and prevention of further spread will be crucial to stop the ongoing outbreak and to control this novel infectious thread.


The potential impact of COVID-19-related disruption on tuberculosis burden


title: Using effective hand hygiene practice to prevent and control infection

text: Decontamination using hand hygiene remains one of the most important and effective methods for reducing healthcare-associated infections and cross-infection between patients. In 1860, Florence Nightingale wrote that nurses should wash their hands frequently throughout the day, demonstrating an early awareness of the effectiveness of this simple procedure. The COVID-19 pandemic has demonstrated that effectively applied hand hygiene is a vital intervention that can be used to prevent the spread of disease. This article details the correct procedure required for effective hand hygiene and emphasises the need for nurses to keep up to date with evidence-based guidelines. The article also outlines the differences between hand decontamination using alcohol-based hand gels and soap and water, and the complex factors that can interfere with effective hand hygiene compliance.


Alert to Potential Contagiousness: A Case of Lung Cancer With Asymptomatic Severe Acute Respiratory Syndrome Coronavirus 2 Infection


Invasive mechanical ventilation in COVID-19 patient management: the experience with 469 patients in Wuhan


title: Causal Explanations of Image Misclassifications

text: The causal explanation of image misclassifications is an understudied niche, which can potentially provide valuable insights in model interpretability and increase prediction accuracy. This study trains CIFAR-10 on six modern CNN architectures, including VGG16, ResNet50, GoogLeNet, DenseNet161, MobileNet V2, and Inception V3, and explores the misclassification patterns using conditional confusion matrices and misclassification networks. Two causes are identified and qualitatively distinguished: morphological similarity and non-essential information interference. The former cause is not model dependent, whereas the latter is inconsistent across all six models. To reduce the misclassifications caused by non-essential information interference, this study erases the pixels within the bonding boxes anchored at the top 5% pixels of the saliency map. This method first verifies the cause; then by directly modifying the cause it reduces the misclassification. Future studies will focus on quantitatively differentiating the two causes of misclassifications, generalizing the anchor-box based inference modification method to reduce misclassification, exploring the interactions of the two causes in misclassifications.


COVID-19 in children: the link in the transmission chain


Emergence of Coronavirus (COVID-19) outbreak: Anthropological and social science perspectives


title: Chloroquine-induced QTc prolongation in COVID-19 patients

text: BACKGROUND: In the battle against the SARS-CoV2 pandemic, chloroquine has emerged as a new potential therapeutic option for the treatment of infected patients. A safety consideration for the application of chloroquine is its QTc-prolonging potential. Thus far, no data are available on the QTc-prolonging potential of chloroquine in COVID-19 patients. OBJECTIVE: To assess the degree of chloroquine-induced QTc prolongation in hospitalised COVID-19 patients. METHODS: A baseline electrocardiogram (ECG) and ECGs recorded during chloroquine treatment were retrospectively collected in patients suspected of having COVID-19. The QTc interval was calculated by computerised and manual interpretation. Baseline and follow-up QTc intervals were compared using the paired samples t-test. RESULTS: A total of 95 patients had a baseline ECG recording and at least one ECG recording during chloroquine therapy. Chloroquine treatment resulted in a mean QTc prolongation of 35â¯ms (95% CI 28-43â¯ms) using computerised interpretation and 34â¯ms (95% CI 25-43â¯ms) using manual interpretation. No torsade de pointes was observed during chloroquine treatment. After manual review, 22 patients (23%) had a QTc interval exceeding 500â¯ms during chloroquine treatment. None of these patients had a prolonged QTc interval prior to the initiation of chloroquine treatment. CONCLUSIONS: Chloroquine significantly prolongs the QTc interval in a clinically relevant matter. This highlights the need for ECG monitoring when prescribing chloroquine to COVID-19 patients.


Clinical features and outcomes of four HIV patients with COVID-19 in Wuhan, China


Risk factors for severe COVID-19: Evidence from 167 hospitalized patients in Anhui, China


Clinical Characteristics of Patients Who Died of Coronavirus Disease 2019 in China


Return to work guidelines for the COVID-19 pandemic


title: A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images

text: In this paper, we compare and evaluate different testing protocols used for automatic COVID-19 diagnosis from X-Ray images in the recent literature. We show that similar results can be obtained using X-Ray images that do not contain most of the lungs. We are able to remove the lungs from the images by turning to black the center of the X-Ray scan and training our classifiers only on the outer part of the images. Hence, we deduce that several testing protocols for the recognition are not fair and that the neural networks are learning patterns in the dataset that are not correlated to the presence of COVID-19. Finally, we show that creating a fair testing protocol is a challenging task, and we provide a method to measure how fair a specific testing protocol is. In the future research we suggest to check the fairness of a testing protocol using our tools and we encourage researchers to look for better techniques than the ones that we propose.


Can Ticagrelor be used to prevent sepsis-induced coagulopathy in COVID-19?


Hemophagocytic lymphohistiocytosis in SARS-CoV-2 infection


title: A high normal ankle-brachial index is associated with biopsy-proven severe renal small artery intimal thickening and impaired renal function in chronic kidney disease

text: A significant relationship has been established between central hemodynamics and renal microvascular damage. We hypothesized that the increase in the ankle-brachial index (ABI) with age is due to increased arterial stiffness and wave reflection and is thus associated with the pathogenesis of the renal small artery in patients with chronic kidney disease (CKD). We recruited 122 patients with CKD (stages 1-5) who underwent renal biopsy and ABI measurements between 2010 and 2013. Renal small artery intimal thickening (SA-IT) severity was assessed by semiquantitative grading. The median age was 47 years, with a range of 15-86 years (47% women). The median estimated glomerular filtration rate (eGFR) was 62 mL/min/1.73 m2. Compared with patients with the lowest 1-3 SA-IT index quartile, those with the highest quartile of the SA-IT index were older in age had higher mean arterial pressure, ABI, brachial-ankle pulse wave velocity, and lower eGFR. ABI was positively associated with SA-IT severity and inversely associated with eGFR. Multivariate logistic regression analyses showed that ABI was significantly associated with the highest quartile of the SA-IT index (odds ratio per SD increase in ABI, 1.83; 95% confidence interval, 1.08-3.26) and low eGFR (<60 mL/min/1.73 m2) (odds ratio per SD increase in ABI, 1.74; 95% confidence interval, 1.03-3.03). In conclusion, a high normal ABI was associated with severe renal small artery intimal thickening and low eGFR in patients with CKD.


title: The Neurobiology of Social Distance

text: Never before have we experienced social isolation on such a massive scale as we have in response to coronavirus disease 2019 (COVID-19). However, we know that the social environment has a dramatic impact on our sense of life satisfaction and well-being. In times of distress, crisis, or disaster, human resilience depends on the richness and strength of social connections, as well as on active engagement in groups and communities. Over recent years, evidence emerging from various disciplines has made it abundantly clear: perceived social isolation (i.e., loneliness) may be the most potent threat to survival and longevity. We highlight the benefits of social bonds, the choreographies of bond creation and maintenance, as well as the neurocognitive basis of social isolation and its deep consequences for mental and physical health.


title: Cardiopulmonary resuscitation in COVID-19 patients

text: COVID-19 is extremely transmissible. Cardiopulmonary resuscitation (CPR) is associated with multiple aerosol-generating procedures including chest compression, positive pressure ventilation, and airway manipulation. Healthcare providers who perform CPR are at high risk of contracting COVID-19. CPR in patients with suspected or proven COVID-19 must be performed without compromising the safety of healthcare providers. An overview of special considerations.


title: Tocilizumab for treatment of mechanically ventilated patients with COVID-19

text: BACKGROUND: Severe COVID-19 can manifest in rapid decompensation and respiratory failure with elevated inflammatory markers, consistent with cytokine release syndrome for which IL-6 blockade is approved treatment. METHODS: We assessed effectiveness and safety of IL-6 blockade with tocilizumab in a single-center cohort of patients with COVID-19 requiring mechanical ventilation. The primary endpoint was survival probability post-intubation; secondary analyses included an ordinal illness severity scale integrating superinfections. Outcomes in patients who received tocilizumab compared to tocilizumab-untreated controls were evaluated using multivariable Cox regression with propensity score inverse probability weighting (IPTW). RESULTS: 154 patients were included, of whom 78 received tocilizumab and 76 did not. Median follow-up was 47 days (range 28-67). Baseline characteristics were similar between groups, although tocilizumab-treated patients were younger (mean 55 vs. 60 years), less likely to have chronic pulmonary disease (10% vs. 28%), and had lower D-dimer values at time of intubation (median 2.4 vs. 6.5 mg/dL). In IPTW-adjusted models, tocilizumab was associated with a 45% reduction in hazard of death [hazard ratio 0.55 (95% CI 0.33, 0.90)] and improved status on the ordinal outcome scale [odds ratio per 1-level increase: 0.58 (0.36, 0.94)]. Though tocilizumab was associated with an increased proportion of patients with superinfections (54% vs. 26%; p<0.001), there was no difference in 28-day case fatality rate among tocilizumab-treated patients with versus without superinfection [22% vs. 15%; p=0.42]. Staphylococcus aureus accounted for ~50% of bacterial pneumonia. CONCLUSIONS: In this cohort of mechanically ventilated COVID-19 patients, tocilizumab was associated with lower mortality despite higher superinfection occurrence.


title: Influenza response planning for the centers of excellence for influenza research and surveillance: Science preparedness for enhancing global health security

text: BACKGROUND: The Centers of Excellence for Influenza Research and Surveillance (CEIRS) network, funded by the US National Institutes of Health, has been operational since 2007 and is tasked with conducting research to improve understanding of influenza viruses. Recently, CEIRS developed an Influenza Response Plan (IRP) to improve science preparedness for the network. METHODS: Development of the IRP involved a collaborative process between project staff, CEIRS center directors or their designees, and NIAID CEIRS leadership (referred to as the Pandemic Planning Advisory Committee [PPAC]). Project staff identified and summarized the response capabilities of each center and then worked with the PPAC to identify and rank research priorities for an emergency response using a modified Delphi method. RESULTS: Key elements of the response plan include tables of response capabilities for each CEIRS center, a framework that outlines and ranks research priorities for CEIRS during an emergency situation, and an operational strategy for executing the research priorities. CONCLUSIONS: The CEIRS IRP highlights the importance of enhancing science preparedness in advance of an influenza pandemic or other influenza-related zoonotic incident to ensure that research can be carried out expeditiously and effectively in emergency situations and to improve global health security.


COVID-19 - Implications on and of Surgical Practices: Where Do We Draw the Line?


COVID-19, Mental Health and Aging: A Need for New Knowledge to Bridge Science and Service


title: A Review of Early Experience in Lung Ultrasound in the Diagnosis and Management of COVID-19

text: A novel coronavirus (2019-nCoV) was identified as the cause of a cluster of pneumonia in Wuhan, China, at the end of 2019. Since then more than eight million confirmed cases of coronavirus disease 2019 (COVID-19) have been reported around the globe. The current gold standard for etiologic diagnosis is reverse transcription-polymerase chain reaction analysis of respiratory-tract specimens, but the test has a high false-negative rate owing to both nasopharyngeal swab sampling error and viral burden. Hence diagnostic imaging has emerged as a fundamental component of current management of COVID-19. Currently, high-resolution computed tomography is the main imaging tool for primary diagnosis and evaluation of disease severity in patients. Lung ultrasound (LUS) imaging has become a safe bedside imaging alternative that does not expose the patient to radiation and minimizes the risk of contamination. Although the number of studies to date is limited, LUS findings have demonstrated high diagnostic sensitivity and accuracy, comparable with those of chest computed tomography scans. In this note we review the current state of the art of LUS in evaluating pulmonary changes induced by COVID-19. The goal is to identify characteristic sonographic findings most suited for the diagnosis of COVID-19 pneumonia infections.


title: COVID-19: Complexity and the Black Swan

text: In previous President's Columns (Valeras, 2019a, 2019b), the properties of complexity and complex adaptive systems have been discussed, in terms of the value of continual and iterative change, in order to nudge a system to emerge differently, rather than maintain the status quo. COVID-19 is not a nudge; it is a tidal wave. Engaging with and understanding complexity science allows us to examine the internal rules of our health care system and recognize our own role as agents that can systematically and deliberately disrupt the status quo. The intertwined and interdependent complex relationships that exist in health care between persons, business, academia, and government buffer the system from rapid and drastic change. COVID-19, however, swiftly disrupted many of the rules keeping the system in its previous state. Some would describe this sudden and dramatic systems change as a Black Swan. This column will examine the role of the Black Swan, as it relates to this pandemic. The Black Swan is a term coined in the 2nd century by Roman poet Juvenal's description of something being rara avis in terries nigroque simillima cygno, Latin for "a bird as rare as the black swan" (Taleb, 2007, p. xxxi). At this time, reference to a black swan was meant as a statement of impossibility, because all historical records of swans had been white. In 1697, Dutch explorers discovered black swans living in the wild in Western Australia (Taleb, 2007, p. xxi), and the black swan became a metaphor for events that come as a surprise, have major implications, and can often be understood only with the benefit of hindsight. This theory of the black swan was further articulated by Nassim Nicholas Taleb in his books Fooled by Randomness (Taleb, 2001) and The Black Swan (Taleb, 2007). (PsycInfo Database Record (c) 2020 APA, all rights reserved).


title: Fetal Diagnosis and Therapy during the COVID-19 Pandemic: Guidance on Behalf of the International Fetal Medicine and Surgery Society

text: The COVID-19 pandemic has stressed patients and healthcare givers alike and challenged our practice of antenatal care, including fetal diagnosis and therapy. This document aims to review relevant recent information to allow us to optimize prenatal care delivery. We discuss potential modifications to obstetric management and fetal procedures in SARS-CoV2-negative and SARS-CoV2-positive patients with fetal anomalies or disorders. Most fetal therapies are time sensitive and cannot be delayed. If personnel and resources are available, we should continue to offer procedures of proven benefit, acknowledging any fetal and maternal risks, including those to health care workers. There is, to date, minimal, unconfirmed evidence of spontaneous vertical transmission, though it may theoretically be increased with some procedures. Knowing a mother's preoperative SARS-CoV-2 status would enable us to avoid or defer certain procedures while she is contagious and to protect health care workers appropriately. Some fetal conditions may alternatively be managed neonatally. Counseling regarding fetal interventions which have a possibility of additional intra- or postoperative morbidity must be performed in the context of local resource availability. Procedures of unproven benefit should not be offered. We encourage participation in registries and trials that may help us to understand the impact of COVID-19 on pregnant women, their fetuses, and neonates.


title: Analysis of free aniline in chrome-free leather accelerated aging

text: Under acidic conditions, aniline can react with nitrite diazotization, then diazotization can reaction products under the condition of alkaline naphthol coupled with armor and color. The product of this reaction has a maximum absorption at 495 nm. By using a series of optimized experiments, we obtained the optimum instrument operation parameters and reaction conditions to analyze aniline in leather extract solutions. Under optimal conditions, aniline concentration was within the range of 0.002-2.0 mg/L, and peak height (H, mV) and concentration (c, mg/L) had a linear relationship. The linear correlation coefficient was R2 = 0.9997, the detection limit was 1.62 µg/L, and the RSD was 0.71%. Aniline in leather extract after accelerated aging was calculated using our calculation method, and the range of standard addition recovery was recorded to be between 97.8% and 103.8%. Compared with the national standard anti-interference method, our result recorded more accurate results and the relative mean absolute error (RAAE) was smaller. Our flow injection analysis combined with ultraviolet visible spectrophotometry (FIA-UV) method can eliminate interference due to trace elements in the extraction solution, as well as effectively improving accuracy and reliability for the determination of aniline in chrome-free leather extraction solution.


Psychological crisis interventions in Sichuan Province during the 2019 novel coronavirus outbreak


title: Expert consensus on prevention and control of COVID-19 in the neurological intensive care unit (first edition)

text: During the COVID-19 epidemic, the treatment of critically ill patients has been increasingly difficult and challenging. During the epidemic, some patients with neurological diseases also have COVID-19, which could be misdiagnosed and cause silent transmission and nosocomial infection. Such risk is high in a neurological intensive care unit (NCU). Therefore, prevention and control of epidemic in critically ill patients is of utmost importance. The principle of NCU care should include comprehensive screening and risk assessment, weighing risk against benefits and reducing the risk of COVID-19 transmission while treating patients as promptly as possible.


title: Surfactant-based prophylaxis and therapy against COVID-19: A possibility

text: Hand hygiene by washing with soap and water is recommended for the prevention of COVID-19 spread. Soaps and detergents are explained to act by damaging viral spike glycoproteins (peplomers) or by washing out the virus through entrapment in the micelles. Technically, soaps come under a functional category of molecules known as surfactants. Surfactants are widely used in pharmaceutical formulations as excipients. We wonder why surfactants are still not tried for prophylaxis or therapy against COVID-19? That too when many of them have proven antiviral properties. Moreover, lung surfactants have already shown benefits in respiratory viral infections. Therefore, we postulate that surfactant-based prophylaxis and therapy would be promising. We believe that our hypothesis would stimulate debate or new research exploring the possibility of surfactant-based prophylaxis and therapy against COVID-19. The success of a surfactant-based technique would save the world from any such pandemic in the future too.


The Use of "Novel Pharmacology" in the Treatment of COVID-19 and Potential Psychiatric Risks


Dermatological manifestation of pediatrics multisystem inflammatory syndrome associated with COVID-19 in a 3-year-old girl


Dermatological Manifestation of Pediatrics Multisystem Inflammatory Syndrome Associated with COVID-19 in a 3-Year-Old Girl


title: Impact of intervention on the spread of COVID-19 in India: A model based study

text: The outbreak of corona virus disease 2019 (COVID-19), caused by the virus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has already created emergency situations in almost every country of the world. The disease spreads all over the world within a very short period of time after its first identification in Wuhan, China in December, 2019. In India, the outbreaks starts on $2^{nd}$ March, 2020 and after that the cases are increasing exponentially. Very high population density, the unavailability of specific medicines or vaccines, insufficient evidences regarding the transmission mechanism of the disease also make it difficult to fight against the disease properly in India. Mathematical models have been used to predict the disease dynamics and also to assess the efficiency of the intervention strategies in reducing the disease burden. In this work, we propose a mathematical model to describe the disease transmission mechanism between the individuals. We consider the initial phase of the outbreak situation in India and our proposed model is fitted to the daily cumulative new reported cases during the period $2^{nd}$ March, 2020 to $24^{th}$ March, 2020. We estimate the basic reproduction number $(R_0)$, effective reproduction number (R(t)) and epidemic doubling time from the incidence data for the above-mentioned period. We further assess the effect of preventive measures such as spread of awareness, lock-down, proper hand sanitization, etc. in reducing the new cases. Two intervention scenarios are considered depending on the variability of the intervention strength over the period of implementation. Our study suggests that higher intervention effort is required to control the disease outbreak within a shorter period of time in India. Moreover, our analysis reveals that the strength of the intervention should be strengthened over the time to eradicate the disease effectively.


title: Structure-based screening of novel lichen compounds against SARS Coronavirus main protease (Mpro) as potentials inhibitors of COVID-19

text: The outbreak of SARS-CoV-2 and deaths caused by it all over the world have imposed great concern on the scientific community to develop potential drugs to combat Coronavirus disease-19 (COVID-19). In this regard, lichen metabolites may offer a vast reservoir for the discovery of antiviral drug candidates. Therefore, to find novel compounds against COVID-19, we created a library of 412 lichen compounds and subjected to virtual screening against the SARS-CoV-2 Main protease (Mpro). All the ligands were virtually screened, and 27 compounds were found to have high affinity with Mpro. These compounds were assessed for drug-likeness analysis where two compounds were found to fit well for redocking studies. Molecular docking, drug-likeness, X-Score, and toxicity analysis resulting in two lichen compounds, Calycin and Rhizocarpic acid with Mpro-inhibiting activity. These compounds were finally subjected to molecular dynamics simulation to compare the dynamics behavior and stability of the Mpro after ligand binding. The binding energy was calculated by MM-PBSA method to determine the intermolecular protein-ligand interactions. Our results showed that two compounds; Calycin and Rhizocarpic acid had the binding free energy of - 42.42 kJ mol/1 and - 57.85 kJ mol/1 respectively as compared to reference X77 (- 91.78 kJ mol/1). We concluded that Calycin and Rhizocarpic acid show considerable structural and pharmacological properties and they can be used as hit compounds to develop potential antiviral agents against SARS-CoV-2. These lichen compounds may be a suitable candidate for further experimental analysis.


Human rights protections are needed alongside PPE for health-care workers responding to COVID-19


What's Important: Redeployment of the Orthopaedic Surgeon During the COVID-19 Pandemic: Perspectives from the Trenches


title: Application of the PDCA cycle for standardized nursing management in a COVID-19 intensive care unit

text: BACKGROUND: Nursing quality is an integral part of health care quality and one of key performance indicators (KPIs) for health care management. The Plan-Do-Check-Act (PDCA) cycle is a management tool for continuous improvement of a business's products or processes. It can be applied to standardize nursing management and thus improve the nursing quality and increase the survival rate of patients. This study assessed the value of the PDCA cycle in standardizing nursing management in an intensive care unit (ICU) for patients with severe coronavirus disease 2019 (COVID-19). METHODS: The status quo of the ICU was analyzed, and the relevant issues and countermeasures were proposed. The PDCA cycle was applied to standardize the nursing management in the ICU. RESULTS: Nine measures were proposed and applied to improve the management of the COVID-19 ICU: defining the clean or contaminated areas, use of self-designed shoe storage cabinets, defining staff roles and responsibilities, establishing the staffing structure, staff training, placing items at fixed locations, improving shift handover, use of bulletin boards for listing key points, and use of reserved drugs cabinets. The virus contamination awareness, professional skills, awareness of duties and responsibilities, and quality and performance of nursing were remarkably improved 2 weeks after the implementation of the above countermeasures. CONCLUSIONS: The PDCA cycle helps to standardize nursing management in COVID-19 ICU by developing and applying effective nursing management approaches.


Will Complement Inhibition Be the New Target in Treating COVID-19-Related Systemic Thrombosis?


title: Fact or Fiction: Verifying Scientific Claims

text: We introduce scientific claim verification, a new task to select abstracts from the research literature containing evidence that supports or refutes a given scientific claim, and to identify rationales justifying each decision. To study this task, we construct SciFact, a dataset of 1.4K expert-written scientific claims paired with evidence-containing abstracts annotated with labels and rationales. We develop baseline models for SciFact, and demonstrate that these models benefit from combined training on a large dataset of claims about Wikipedia articles, together with the new SciFact data. We show that our claim verification system is able to identify plausible evidence for 23 / 36 claims relevant to COVID-19 on the CORD-19 corpus. Our results and experiments strongly suggest that our new task and data will support significant future research efforts.


title: Natural products and their derivatives against coronavirus: A review of the non-clinical and pre-clinical data

text: Several corona viral infections have created serious threats in the last couple of decades claiming the death of thousands of human beings. Recently, corona viral epidemic raised the issue of developing effective antiviral agents at the earliest to prevent further losses. Natural products have always played a crucial role in drug development process against various diseases, which resulted in screening of such agents to combat emergent mutants of corona virus. This review focuses on those natural compounds that showed promising results against corona viruses. Although inhibition of viral replication is often considered as a general mechanism for antiviral activity of most of the natural products, studies have shown that some natural products can interact with key viral proteins that are associated with virulence. In this context, some of the natural products have antiviral activity in the nanomolar concentration (e.g., lycorine, homoharringtonine, silvestrol, ouabain, tylophorine, and 7-methoxycryptopleurine) and could be leads for further drug development on their own or as a template for drug design. In addition, a good number of natural products with anti-corona virus activity are the major constituents of some common dietary supplements, which can be exploited to improve the immunity of the general population in certain epidemics.


title: Coronavirus disease 19 in minority populations of Newark, New Jersey

text: BACKGROUND: The purpose of this study is to report the clinical features and outcomes of Black/African American (AA) and Latino Hispanic patients with Coronavirus disease 2019 (COVID-19) hospitalized in an inter-city hospital in the state of New Jersey. METHODS: This is a retrospective cohort study of AA and Latino Hispanic patients with COVID-19 admitted to a 665-bed quaternary care, teaching hospital located in Newark, New Jersey. The study included patients who had completed hospitalization between March 10, 2020, and April 10, 2020. We reviewed demographics, socioeconomic variables and incidence of in-hospital mortality and morbidity. Logistic regression was used to identify predictor of in-hospital death. RESULTS: Out of 416 patients, 251 (60%) had completed hospitalization as of April 10, 2020. The incidence of In-hospital mortality was 38.6% (n = 97). Most common symptoms at initial presentation were dyspnea 39% (n = 162) followed by cough 38%(n = 156) and fever 34% (n = 143). Patients were in the highest quartile for population's density, number of housing units and disproportionately fell into the lowest median income quartile for the state of New Jersey. The incidence of septic shock, acute kidney injury (AKI) requiring hemodialysis and admission to an intensive care unit (ICU) was 24% (n = 59), 21% (n = 52), 33% (n = 82) respectively. Independent predictors of in-hospital mortality were older age, lower serum Hemoglobin < 10 mg/dl, elevated serum Ferritin and Creatinine phosphokinase levels > 1200 U/L and > 1000 U/L. CONCLUSIONS: Findings from an inter-city hospital's experience with COVID-19 among underserved minority populations showed that, more than one of every three patients were at risk for in-hospital death or morbidity. Older age and elevated inflammatory markers at presentation were associated with in-hospital death.


title: Clinical Characteristics of Hospitalized Individuals Dying with COVID-19 by Age Group in Italy

text: BACKGROUND: aim of the present study is to describe characteristics of COVID-19 related deaths and to compare the clinical phenotype and course of COVID-19 related deaths occurring in adults (< 65 years) and older adults (≥ 65 years). METHODS: medical charts of 3,032 patients dying with COVID-19 in Italy (368 aged < 65 years and 2,664 aged ≥ 65 years) were revised to extract information on demographics, pre-existing comorbidities, and in-hospital complications leading to death. RESULTS: Older adults (≥ 65 years) presented with a higher number of comorbidities compared to those aged < 65 years (3.3 ± 1.9 vs. 2.5 ± 1.8, p<0.001). Prevalence of ischemic heart disease, atrial fibrillation, heart failure, stroke, hypertension, dementia, COPD, and chronic renal failure was higher in older patients (≥ 65 years), while obesity, chronic liver disease, and HIV infection were more common in younger adults (< 65 years); 10.9% of younger patients (< 65 years) had no comorbidities, compared to 3.2% of older patients (≥ 65 years). The younger adults had a higher rate of non-respiratory complications than older patients including acute renal failure (30.0% vs 20.6%), acute cardiac injury (13.5% vs 10.3%) and superinfections (30.9% vs. 9.8%). CONCLUSIONS: individuals dying with COVID-19 present with high levels of comorbidities, irrespective of age group, but a small proportion of deaths occurs in healthy adults with no pre-existing conditions. Non-respiratory complications are common, suggesting that the treatment of respiratory conditions needs to be combined with strategies to prevent and mitigate the effects of non-respiratory complications.


title: Spatial-Temporal Variations in Atmospheric Factors Contribute to SARS-CoV-2 Outbreak

text: The global outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection causing coronavirus disease 2019 (COVID-19) has reached over five million confirmed cases worldwide, and numbers are still growing at a fast rate. Despite the wide outbreak of the infection, a remarkable asymmetry is observed in the number of cases and in the distribution of the severity of the COVID-19 symptoms in patients with respect to the countries/regions. In the early stages of a new pathogen outbreak, it is critical to understand the dynamics of the infection transmission, in order to follow contagion over time and project the epidemiological situation in the near future. While it is possible to reason that observed variation in the number and severity of cases stems from the initial number of infected individuals, the difference in the testing policies and social aspects of community transmissions, the factors that could explain high discrepancy in areas with a similar level of healthcare still remain unknown. Here, we introduce a binary classifier based on an artificial neural network that can help in explaining those differences and that can be used to support the design of containment policies. We found that SARS-CoV-2 infection frequency positively correlates with particulate air pollutants, and specifically with particulate matter 2.5 (PM2.5), while ozone gas is oppositely related with the number of infected individuals. We propose that atmospheric air pollutants could thus serve as surrogate markers to complement the infection outbreak anticipation.


COVID-19, Vascular Diseases, and Vascular Services


COVID-19: PCR screening of asymptomatic health-care workers at London hospital


title: Compassionate Use of Remdesivir for Patients with Severe Covid-19

text: BACKGROUND: Remdesivir, a nucleotide analogue prodrug that inhibits viral RNA polymerases, has shown in vitro activity against SARS-CoV-2. METHODS: We provided remdesivir on a compassionate-use basis to patients hospitalized with Covid-19, the illness caused by infection with SARS-CoV-2. Patients were those with confirmed SARS-CoV-2 infection who had an oxygen saturation of 94% or less while they were breathing ambient air or who were receiving oxygen support. Patients received a 10-day course of remdesivir, consisting of 200 mg administered intravenously on day 1, followed by 100 mg daily for the remaining 9 days of treatment. This report is based on data from patients who received remdesivir during the period from January 25, 2020, through March 7, 2020, and have clinical data for at least 1 subsequent day. RESULTS: Of the 61 patients who received at least one dose of remdesivir, data from 8 could not be analyzed (including 7 patients with no post-treatment data and 1 with a dosing error). Of the 53 patients whose data were analyzed, 22 were in the United States, 22 in Europe or Canada, and 9 in Japan. At baseline, 30 patients (57%) were receiving mechanical ventilation and 4 (8%) were receiving extracorporeal membrane oxygenation. During a median follow-up of 18 days, 36 patients (68%) had an improvement in oxygen-support class, including 17 of 30 patients (57%) receiving mechanical ventilation who were extubated. A total of 25 patients (47%) were discharged, and 7 patients (13%) died; mortality was 18% (6 of 34) among patients receiving invasive ventilation and 5% (1 of 19) among those not receiving invasive ventilation. CONCLUSIONS: In this cohort of patients hospitalized for severe Covid-19 who were treated with compassionate-use remdesivir, clinical improvement was observed in 36 of 53 patients (68%). Measurement of efficacy will require ongoing randomized, placebo-controlled trials of remdesivir therapy. (Funded by Gilead Sciences.).


Corrigendum to "N-alkyl-hydroxybenzoyl anilide hydroxamates as dual inhibitors of HDAC and HSP90, downregulating IFN-Î³ induced PD-L1 expression"[Eur. J. Med. Chem. 2020 Jan 1;185:111725]


ADAM17 inhibition may exert a protective effect on COVID-19


title: Abdominal pain in a patient with COVID-19 infection: A case of multiple thromboemboli

text: The novel coronavirus SARS-CoV-2 (COVID-19) pandemic has created diagnostic uncertainty with regards to distinguishing this infection from pulmonary embolism (PE). Although there appears to be an increased incidence of thromboembolic disease in patients with COVID-19 infection, recommendations regarding anticoagulation are lacking. We present the case of a 61-year-old woman with clinically significant venous and arterial thromboemboli in the setting of COVID-19 infection requiring tissue plasminogen activator (tPA).


The value of hospital personnel serological screening in an integrated COVID-19 infection prevention and control strategy


Covid-19: an Imperative to Bridge the Gap Between Medicine And Public Health


Covid-19: Experts urge strategies to prevent further outbreaks in care homes


Screening all pregnant women admitted to labor and delivery for the virus responsible for coronavirus disease 2019


title: COVID-19 (Novel Coronavirus 2019) - recent trends

text: The World Health Organization (WHO) has issued a warning that, although the 2019 novel coronavirus (COVID-19) from Wuhan City (China), is not pandemic, it should be contained to prevent the global spread. The COVID-19 virus was known earlier as 2019-nCoV. As of 12 February 2020, WHO reported 45,171 cases and 1115 deaths related to COVID-19. COVID-19 is similar to Severe Acute Respiratory Syndrome coronavirus (SARS-CoV) virus in its pathogenicity, clinical spectrum, and epidemiology. Comparison of the genome sequences of COVID-19, SARS-CoV, and Middle East Respiratory Syndrome coronavirus (MERS-CoV) showed that COVID-19 has a better sequence identity with SARS-CoV compared to MERS CoV. However, the amino acid sequence of COVID-19 differs from other coronaviruses specifically in the regions of 1ab polyprotein and surface glycoprotein or S-protein. Although several animals have been speculated to be a reservoir for COVID-19, no animal reservoir has been already confirmed. COVID-19 causes COVID-19 disease that has similar symptoms as SARS-CoV. Studies suggest that the human receptor for COVID-19 may be angiotensin-converting enzyme 2 (ACE2) receptor similar to that of SARS-CoV. The nucleocapsid (N) protein of COVID-19 has nearly 90% amino acid sequence identity with SARS-CoV. The N protein antibodies of SARS-CoV may cross react with COVID-19 but may not provide cross-immunity. In a similar fashion to SARS-CoV, the N protein of COVID-19 may play an important role in suppressing the RNA interference (RNAi) to overcome the host defense. This mini-review aims at investigating the most recent trend of COVID-19.


title: Conscious Proning: An Introduction of a Proning Protocol for Nonintubated, Awake, Hypoxic Emergency Department COVID-19 Patients

text: The novel coronavirus, or COVID-19, has rapidly become a global pandemic. A major cause of morbidity and mortality due to COVID-19 has been the worsening hypoxia that, if untreated, can progress to acute respiratory distress syndrome (ARDS) and respiratory failure. Past work has found that intubated patients with ARDS experience physiological benefits to the prone position, because it promotes better matching of pulmonary perfusion to ventilation, improved secretion clearance, and recruitment of dependent areas of the lungs. We created a systemwide multi-institutional (New York-Presbyterian Hospital enterprise) protocol for placing awake, nonintubated, emergency department patients with suspected or confirmed COVID-19 in the prone position. In this piece, we describe the background literature and the approach we have taken at our institution as we care for a high burden of COVID-19 cases with respiratory symptoms.


title: Incidental Discovery of a COVID-19 Infection on a Reevaluation FDG PET/CT in a Patient Treated for Hodgkin Lymphoma

text: We report the results of F-FDG PET/CT in an asymptomatic case of COVID-19 infection. A 27-year-old woman underwent FDG PET/CT for revaluation of a stage IIIE B Hodgkin lymphoma after the fourth cycle of chemotherapy. It showed intense avid FDG subpleural mixed ground-glass and consolidative lesions, especially in the left lung. Because of this morpho-metabolic aspect and the epidemic context, a viral pneumopathy was suspected. The patient who was initially asymptomatic was admitted for fever 28 hours after the PET/CT. The nasopharyngeal swab was positive for COVID-19, and the outcome was favorable.


[Recommendations for the diagnosis, prevention and control of the 2019 novel coronavirus infection in children (first interim edition)]


title: Pathological Findings in the Testes of COVID-19 Patients: Clinical Implications

text: BACKGROUND: Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), involves multiple organs. Testicular involvement is largely unknown. OBJECTIVE: To determine the pathological changes and whether SARS-CoV-2 can be detected in the testes of deceased COVID-19 patients. DESIGN, SETTING, AND PARTICIPANTS: Postmortem examination of the testes from 12 COVID-19 patients was performed using light and electron microscopy, and immunohistochemistry for lymphocytic and histiocytic markers. Reverse transcription-polymerase chain reaction (RT-PCR) was used to detect the virus in testicular tissue. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Seminiferous tubular injury was assessed as none, mild, moderate, or severe according to the extent of tubular damage. Leydig cells in the interstitium were counted in ten 400× microscopy fields. RESULTS AND LIMITATIONS: Microscopically, Sertoli cells showed swelling, vacuolation and cytoplasmic rarefaction, detachment from tubular basement membranes, and loss and sloughing into lumens of the intratubular cell mass. Two, five, and four of 11 cases showed mild, moderate, and severe injury, respectively. The mean number of Leydig cells in COVID-19 testes was significantly lower than in the control group (2.2 vs 7.8, p < 0.001). In the interstitium there was edema and mild inflammatory infiltrates composed of T lymphocytes and histiocytes. Transmission EM did not identify viral particles in three cases. RT-PCR detected the virus in one of 12 cases. CONCLUSIONS: Testes from COVID-19 patients exhibited significant seminiferous tubular injury, reduced Leydig cells, and mild lymphocytic inflammation. We found no evidence of SARS-CoV-2 virus in the testes in the majority (90%) of the cases by RT-PCR, and in none by electron microscopy. These findings can provide evidence-based guidance for sperm donation and inform management strategies to mitigate the risk of testicular injury during the COVID-19 disease course. PATIENT SUMMARY: We examined the testes of deceased COVID-19 patients. We found significant damage to the testicular parenchyma. However, virus was not detected in testes in the majority of cases.


title: Application of personal-oriented digital technology in preventing transmission of COVID-19, China

text: We reported several personal-oriented and mobile phone-based information technologies which were recently developed and widely used during the outbreak of COVID-19 in China. These technologies help reduce the transmission of COVID-19 and maintain normal social order.


Doubters and Believers in the Time of the Pandemic


title: A Machine Learning Application for Raising WASH Awareness in the Times of COVID-19 Pandemic

text: Proactive management of an Infodemic that grows faster than the underlying epidemic is a modern-day challenge. This requires raising awareness and sensitization with the correct information in order to prevent and contain outbreaks such as the ongoing COVID-19 pandemic. Therefore, there is a fine balance between continuous awareness-raising by providing new information and the risk of misinformation. In this work, we address this gap by creating a life-long learning application that delivers authentic information to users in Hindi and English, the most widely used languages in India. It does this by matching sources of verified and authentic information such as the WHO reports against daily news by using machine learning and natural language processing. It delivers the narrated content in Hindi by using state-of-the-art text to speech engines. Finally, the approach allows user input for continuous improvement of news feed relevance daily. We demonstrate this approach for Water, Sanitation, Hygiene information for containment of the COVID-19 pandemic. Thirteen combinations of pre-processing strategies, word-embeddings, and similarity metrics were evaluated by eight human users via calculation of agreement statistics. The best performing combination achieved a Cohen's Kappa of 0.54 and was deployed as On AIr, WashKaro's AI-powered back-end. We introduced a novel way of contact tracing, deploying the Bluetooth sensors of an individual's smartphone and automatic recording of physical interactions with other users. Additionally, the application also features a symptom self-assessment tool based on WHO-approved guidelines, human-curated and vetted information to reach out to the community as audio-visual content in local languages. WashKaro - http://tiny.cc/WashKaro


title: COVID-19: clinical issues from the Japan Surgical Society

text: In this unprecedented COVID-19 pandemic, several key issues must be addressed to ensure safe treatment and prevent rapid spread of the virus and a consequential medical crisis. Careful evaluation of a patient's condition is crucial for deciding the triage plan, based on the status of the disease and comorbidities. As functionality of the medical care system is greatly affected by the environmental situation, the treatment may differ according to the medical and infectious disease circumstances of the institution. Importantly, all medical staff must prevent nosocomial COVID-19 by minimizing the effects of aerosol spread and developing diagnostic and surgical procedures. Polymerase chain reaction (PCR) screening for COVID-19 infection, particularly in asymptomatic patients, should be encouraged as these patients are prone to postoperative respiratory failure. In this article, the Japan Surgical Society addresses the general principles of surgical treatment in relation to COVID-19 infection and advocates preventive measures against viral transmission during this unimaginable COVID-19 pandemic.


title: Effect of hydroxychloroquine on COVID-19 prevention in cancer patients undergoing treatment: a structured summary of a study protocol for a randomised controlled trial

text: OBJECTIVES: In this study, we investigate the effect of hydroxychloroquine on the prevention of Novel Coronavirus Disease (COVID-19) in cancer patients being treated. TRIAL DESIGN: This is a multi-centre, two-arm, parallel-group, triple-blind, phase 2-3 randomised controlled trial. PARTICIPANTS: All patients over the age of 15 from 5 types of cancer are included in the study. Patients with acute lymphoid and myeloid leukemias in the first line treated with curative intent, patients with high-grade non-Hodgkin's lymphoma treated with leukemia protocols and patients with non-metastatic breast and colon cancer in the first line of treatment will enter the study. The exclusion criteria will include known sensitivity to Hydroxychloroquine, weight below 35 kilograms, history of retinopathy, history of any cardiac disease, acute respiratory tract infection in the last 2 months, having COVID-19 in the first two weeks of entering the trial, having Diabetes Mellitus, having an immuno-suppressive disease other than cancer, having chronic pulmonary disease and taking immuno-suppressant drug other than chemotherapeutic agents for current cancer. This study is performed in five academic centres affiliated to Mashhad University of Medical Sciences, Mashhad, Iran. INTERVENTION AND COMPARATOR: Patients are randomly assigned to two groups; one being given hydroxychloroquine and the other is given placebo. During two months of treatment, the two groups are treated with either hydroxychloroquine (Amin® Pharmaceutical Company, Isfahan, Iran) or placebo (identical in terms of shape, colour, smell) as a single 200 mg tablet every other day. Patients will be monitored for COVID-19 symptoms during the follow-up period. If signs or symptoms occur (fever, cough, shortness of breath), they will be examined and investigated with a high-resolution computed tomography (CT) scan of the lungs, COVID-19 specific IgM, IgG antibody assay and a nucleic acid amplification test (NAT) for the SARS-CoV-2 virus. MAIN OUTCOMES: The primary end point of this study is to investigate the incidence of COVID-19 in patients being treated for their cancer over a 2-month period. RANDOMISATION: Randomisation will be performed using randomly permuted blocks. By using an online website (www.randomization.com) the randomization sequence will be produced by quadruple blocks. The allocation ratio in intervention and control groups is 1:1. BLINDING (MASKING): Participants and caregivers do not know whether the patient is in the intervention or the control group. The outcome assessor and the data analyst are also blinded to group assignment. NUMBERS TO BE RANDOMISED (SAMPLE SIZE): The calculated total sample size is 60 patients, with 30 patients in each group. TRIAL STATUS: The trial began on April 14, 2020 and recruitment is ongoing. Recruitment is anticipated to be completed by June 14, 2020 There has been no change in study protocol since approval, protocol version 1 was approved April 12, 2020. TRIAL REGISTRATION: This trial has been registered by the title of "Effect of Hydroxychloroquine on Novel Coronavirus Disease (COVID-19) prevention in cancer patients under treatment" in Iranian Registry of Clinical Trials (IRCT) with code "IRCT20200405046958N1", https://www.irct.ir/trial/46946. Registration date is April 14, 2020. FULL PROTOCOL: The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.


Hygiène des mains et masques contre COVID-19 : oser le dégradé ?/ [Hand hygiene and facemasks against COVID-19: Should we consider alternate strategies?]


title: ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

text: Motivation: NLP continues improving substantially through auto-regressive and auto-encoding Language Models. These LMs require expensive computing resources for self-supervised or un-supervised learning from huge unlabelled text corpora. The information learned is transferred through so-called embeddings to downstream prediction tasks. Bioinformatics provide vast gold-mines of structured and sequentially ordered text data leading to extraordinarily successful protein sequence LMs that promise new frontiers for generative and predictive tasks at low inference cost. Here, we addressed two questions: (1) To which extent can HPC up-scale protein LMs to larger databases and larger models? (2) To which extent can LMs extract features from single proteins to get closer to the performance of methods using evolutionary information? Methodology: Here, we trained two auto-regressive language models (Transformer-XL and XLNet) and two auto-encoder models (BERT and Albert) using 80 billion amino acids from 200 million protein sequences (UniRef100) and 393 billion amino acids from 2.1 billion protein sequences (BFD). The LMs were trained on the Summit supercomputer, using 5616 GPUs and one TPU Pod, using V3-512 cores. Results: The results of training these LMs on proteins was assessed by predicting secondary structure in three- and eight-states (Q3=75-83, Q8=63-72), localization for 10 cellular compartments (Q10=74) and whether a protein is membrane-bound or water-soluble (Q2=89). Dimensionality reduction revealed that the LM-embeddings from unlabelled data (only protein sequences) captured important biophysical properties of the protein alphabet, namely the amino acids, and their well orchestrated interplay in governing the shape of proteins. In the analogy of NLP, this implied having learned some of the grammar of the language of life realized in protein sequences.


Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Cov-2) infection in cancer population: Are patient-related symptoms helpful to track a harmful invisible?


title: The Hypothesis of Testing: Paradoxes arising out of reported coronavirus case-counts

text: Many statisticians, epidemiologists, economists and data scientists have registered serious reservations regarding the reported coronavirus case-counts. Limited testing capacity across the country has been widely identified as a key driver of suppressed coronavirus case-counts. The calls to increase testing capacity are well-justified as they become a more frequent point of discussion in the public sphere. While expanded testing is a laudable goal, selection bias will impact estimates of disease prevalence and the effective reproduction number until the entire population is sampled. Moreover, tests are imperfect as false positive/negative rates interact in complex ways with selection bias. In this paper, we attempt to clarify this interaction. Through simple calculations, we demonstrate pitfalls and paradoxes that can arise when considering case-count data in the presence of selection bias and measurement error. The discussion guides several suggestions on how to improve current case-count reporting.


Considerations for resuscitation and transfer of paediatric patients with COVID-19


title: Recommended operating room practice during the COVID-19 pandemic: systematic review

text: BACKGROUND: The COVID-19 pandemic poses a critical global public health crisis. Operating room (OR) best practice in this crisis is poorly defined. This systematic review was performed to identify contemporary evidence relating to OR practice in the context of COVID-19. METHODS: MEDLINE was searched systematically using PubMed (search date 19 March 2020) for relevant studies in accordance with PRISMA guidelines. Documented practices and guidance were assessed to determine Oxford Centre for Evidence-Based Medicine (OCEBM) levels of evidence, and recommendations for practice within five domains were extracted: physical OR, personnel, patient, procedure, and other factors. RESULTS: Thirty-five articles were identified, of which 11 met eligibility criteria. Nine articles constituted expert opinion and two were retrospective studies. All articles originated from the Far East (China, 9; Singapore, 2); eight of the articles concerned general surgery. Common themes were identified within each domain, but all recommendations were based on low levels of evidence (median OCEBM level 5 (range 4-5)). The highest number of overlapping recommendations related to physical OR (8 articles) and procedural factors (13). Although few recommendations related to personnel factors, consensus was high in this domain, with all studies mandating the use of personal protective equipment. CONCLUSION: There was little evidence to inform this systematic review, but there was consensus regarding many aspects of OR practice. Within the context of a rapidly evolving pandemic, timely amalgamation of global practice and experiences is needed to inform best practice.


title: Impact of the COVID-19 Pandemic on Emergency Department Visits - United States, January 1, 2019-May 30, 2020

text: On March 13, 2020, the United States declared a national emergency to combat coronavirus disease 2019 (COVID-19). As the number of persons hospitalized with COVID-19 increased, early reports from Austria (1), Hong Kong (2), Italy (3), and California (4) suggested sharp drops in the numbers of persons seeking emergency medical care for other reasons. To quantify the effect of COVID-19 on U.S. emergency department (ED) visits, CDC compared the volume of ED visits during four weeks early in the pandemic March 29-April 25, 2020 (weeks 14 to 17; the early pandemic period) to that during March 31-April 27, 2019 (the comparison period). During the early pandemic period, the total number of U.S. ED visits was 42% lower than during the same period a year earlier, with the largest declines in visits in persons aged ≤14 years, females, and the Northeast region. Health messages that reinforce the importance of immediately seeking care for symptoms of serious conditions, such as myocardial infarction, are needed. To minimize SARS-CoV-2, the virus that causes COVID-19, transmission risk and address public concerns about visiting the ED during the pandemic, CDC recommends continued use of virtual visits and triage help lines and adherence to CDC infection control guidance.


Covid-19 is an opportunity for gender equality within the workplace and at home


title: Miller Fisher Syndrome and polyneuritis cranialis in COVID-19

text: OBJECTIVE: To report two patients infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) who acutely presented with Miller Fisher syndrome and polyneuritis cranialis, respectively. METHODS: Patient data were obtained from medical records from the University Hospital "Príncipe de Asturias", Alcalá de Henares, Madrid, Spain and from the University Hospital "12 de Octubre", Madrid, Spain. RESULTS: The first patient was a 50-year-old man who presented with anosmia, ageusia, right internuclear ophthalmoparesis, right fascicular oculomotor palsy, ataxia, areflexia, albuminocytologic dissociation and positive testing for GD1b-IgG antibodies. Five days before, he had developed a cough, malaise, headache, low back pain, and a fever. The second patient was a 39-year-old man who presented with ageusia, bilateral abducens palsy, areflexia and albuminocytologic dissociation. Three days before, he had developed diarrhea, a low-grade fever, and a poor general condition. The oropharyngeal swab test for coronavirus disease 2019 (COVID-19) by qualitative real-time reverse-transcriptase-polymerase-chain-reaction assay was positive in both patients and negative in the cerebrospinal fluid. The first patient was treated with intravenous immunoglobulin and the second, with acetaminophen. Two weeks later, both patients made a complete neurological recovery, except for residual anosmia and ageusia in the first case. CONCLUSIONS: Our two cases highlight the rare occurrence of Miller Fisher syndrome and polyneuritis cranialis during the COVID-2 pandemic. Neurological manifestations may occur because of an aberrant immune response to COVID-19. The full clinical spectrum of neurological symptoms in patients with COVID-19 remains to be characterized.


'Closed' supraglottic airway guided intubation during the COVID-19 pandemic: a Glo Germ ™ follow up


Oligohydramnion in COVID19


Supporting Patients With Autism During COVID-19


Important lessons for infection control in radiology departments during the COVID-19 pandemic


title: Using eHealth to Support COVID-19 Education, Self-Assessment, and Symptom Monitoring in the Netherlands: Observational Study

text: BACKGROUND: The coronavirus disease (COVID-19) situation demands a lot from citizens, health care providers, and governmental institutions. Citizens need to cope with guidelines on social interaction, work, home isolation, and symptom recognition. Additionally, health care providers and policy makers have to cope with unprecedented and unpredictable pressure on the health care system they need to manage. By providing citizens with an app, they always have access to the latest information and can assess their own health. This data could be used to support policy makers and health care providers to get valuable insights in the regional distribution of infection load and health care consumption. OBJECTIVE: The aim of this observational study is to assess people's use of an app to support them with COVID-19 education, self-assessment, and monitoring of their own health for a 7-day period. In addition, we aim to assess the usability of this data for health care providers and policy makers by applying it to an interactive map and combining it with hospital data. The secondary outcomes of the study were user's satisfaction with the information provided in the app, perceived usefulness of the app, health care providers they contacted, and the follow-up actions from this contact. METHODS: This observational cohort study was carried out at the nonacademic teaching hospital "Elisabeth Twee Steden" (ETZ) in Tilburg, Netherlands. From April 1, 2020, onwards ETZ offered the COVID-19 education, self-assessment, and symptom tracking diary to their already existing app for patient education and monitoring. RESULTS: Between April 1 and April 20, 2020, a total of 6194 people downloaded the app. The self-assessment functionality was used abundantly to check one's health status. In total, 5104 people responded to the question about severe symptoms, from which 242 indicated to suffer from severe symptoms. A total of 4929 people responded to the question about mild symptoms, from which 3248 indicated to suffer from these. The data was successfully applied to an interactive map, displaying user demographics and health status. Furthermore, the data was linked to clinical data. App users were satisfied with the information in the app and appreciated the symptom diary functionality. In total, 102 users reached out to a health care provider, leading to 91 contacts. CONCLUSIONS: Our study demonstrated the successful implementation and use of an app with COVID-19 education, self-assessment, and a 7-day symptom diary. Data collected with the app were successfully applied to an interactive map. In addition, we were able to link the data to COVID-19 screening results from the hospital's microbiology laboratory. This data could be used to support policy makers and health care providers to get valuable insights in the regional distribution of infection load and health care consumption. TRIAL REGISTRATION: Netherlands Trial Register NL8501; https://www.trialregister.nl/trial/8501.


title: Predicting COVID-19 in China Using Hybrid AI Model

text: The coronavirus disease 2019 (COVID-19) breaking out in late December 2019 is gradually being controlled in China, but it is still spreading rapidly in many other countries and regions worldwide. It is urgent to conduct prediction research on the development and spread of the epidemic. In this article, a hybrid artificial-intelligence (AI) model is proposed for COVID-19 prediction. First, as traditional epidemic models treat all individuals with coronavirus as having the same infection rate, an improved susceptible-infected (ISI) model is proposed to estimate the variety of the infection rates for analyzing the transmission laws and development trend. Second, considering the effects of prevention and control measures and the increase of the public's prevention awareness, the natural language processing (NLP) module and the long short-term memory (LSTM) network are embedded into the ISI model to build the hybrid AI model for COVID-19 prediction. The experimental results on the epidemic data of several typical provinces and cities in China show that individuals with coronavirus have a higher infection rate within the third to eighth days after they were infected, which is more in line with the actual transmission laws of the epidemic. Moreover, compared with the traditional epidemic models, the proposed hybrid AI model can significantly reduce the errors of the prediction results and obtain the mean absolute percentage errors (MAPEs) with 0.52%, 0.38%, 0.05%, and 0.86% for the next six days in Wuhan, Beijing, Shanghai, and countrywide, respectively.


title: Awareness and preparedness of Field Epidemiology Training Program graduates in the Eastern Mediterranean Region to respond to COVID-19: A cross-section study

text: BACKGROUND: The Field Epidemiology Training Program (FETP) is a 2-year training program in applied epidemiology. FETP graduates have contributed significantly to improvements in surveillance systems, control of infectious diseases, and outbreak investigations in the Eastern Mediterranean Region (EMR). OBJECTIVE: Knowing their instrumental roles during the COVID-19 crisis, this study aimed to assess the awareness and preparedness of FETP graduates in three EMR countries to respond to COVID-19 pandemic. METHODS: An online survey was sent to FETP graduates in 3 countries in the EMR in March 2020. The FETP graduates were contacted by email and requested to fill an online survey. Sufficient number of responses were received from three countries only including Jordan, Sudan, and Yemen. Few responses were received from other countries and therefore they were excluded from the analysis. The questionnaire comprised a series of questions pertaining to socio-demographic characteristics, knowledge of the epidemiology of COVID-19, and preparedness to respond to COVID-19. RESULTS: This study included a total of 57 FETP graduates (20 from Jordan, 13 from Sudan, and 24 from Yemen). A total of 31 (54%) graduates had attended training on COVID-19, 29 (51%) are member of a rapid response team against COVID-19 and 54 (95%) had previous experience in response to disease outbreaks or health emergencies. The vast majority were aware of the main symptoms, mode of transmission, high risk groups, and aware of how to use personal protective equipment. A total of 46 (81%) respondents considered themselves well prepared for the COVID-19 outbreak and 40 (70%) reported that they currently have a role in supporting the country efforts in the management of COVID-19 outbreak. CONCLUSIONS: The FETP graduates in Jordan, Sudan, and Yemen were fully aware of the epidemiology COVID-19 and the safety measures and they are well positioned to investigate and respond to COVID-19 pandemic. Therefore, they should be properly and efficiently utilized by the ministries of health to investigate and respond to the current COVID-19 crisis where the needs are vastly growing and access to outside experts becomes limited.


COVID-19 Pneumonia Hospitalizations Followed by Re-Presentation for Presumed Thrombotic Event


MDA5 should be detected in severe COVID-19 patients


Being a foot and ankle surgeon in Italy in the era of COVID-19


Reply to the letter by Gaetano Loscocco, Secondary hemophagocytic lymphohistiocytosis, HScore and COVID-19


Hepatic manifestations and complications of COVID-19: A systematic review and meta-analysis


title: Transmission potential and severity of COVID-19 in South Korea

text: OBJECTIVES: Since the first case of 2019 novel coronavirus (COVID-19) identified on Jan 20, 2020, in South Korea, the number of cases rapidly increased, resulting in 6284 cases including 42 deaths as of Mar 6, 2020. To examine the growth rate of the outbreak, we present the first study to report the reproduction number of COVID-19 in South Korea. METHODS: The daily confirmed cases of COVID-19 in South Korea were extracted from publicly available sources. By using the empirical reporting delay distribution and simulating the generalized growth model, we estimated the effective reproduction number based on the discretized probability distribution of the generation interval. RESULTS: We identified four major clusters and estimated the reproduction number at 1.5 (95% CI: 1.4-1.6). In addition, the intrinsic growth rate was estimated at 0.6 (95% CI: 0.6, 0.7), and the scaling of growth parameter was estimated at 0.8 (95% CI: 0.7, 0.8), indicating sub-exponential growth dynamics of COVID-19. The crude case fatality rate is higher among males (1.1%) compared to females (0.4%) and increases with older age. CONCLUSIONS: Our results indicate an early sustained transmission of COVID-19 in South Korea and support the implementation of social distancing measures to rapidly control the outbreak.


title: Accidental poisoning by castor bean (Ricinus communis) cake in horses/ Intoxicação acidental por torta de mamona (Ricinus communis) em equinos

text: Ricinus communis is a shrub of the family Euphorbiaceae popularly known in Brazil as "mamona" or "carrapateira". It is an oleaginous plant whose seeds have been used mainly in biodiesel production. Plant seed oil can be extracted mechanically or using solvents, generating castor bean cake and castor bean meal as by-products, respectively. Accidental ingestion of these by-products can cause poisoning in animals and humans, characterized by digestive signs resulting from the presence of a toxalbumin called ricin. Seed toxicity varies among animal species; in horses, the lethal dose of seeds is 0.1 g/kg of body weight. The literature presents plenty of studies addressing poisoning by R. communis in different animal species and in humans; however, reports are scarce and little information is available on the pathological aspects of poisoning regarding equines. Therefore, the present study aimed to describe the epidemiological, clinical and pathological aspects observed in an outbreak of accidental poisoning with castor bean cake in horses. The equines were supplemented with palm kernel (Elaeis guianeesis) cake; however, in the purchase of a new batch, there was an error in the order, and castor bean cake was requested instead. Four horses that received castor bean cake presented clinical signs indicative of colic, which started about 21 hours after administration. Three of these horses died, with clinical evolution from 2 to 4.5 hours; the other animal was treated with intravenous fluid and antibiotic therapy and non-steroidal anti-inflammatory drugs and recovered after five days. In the necropsy of two of these horses, the main lesions were found in the small intestine, where mucosae with pronounced redness and covered with a thin layer of yellow fibrous material were observed. In the intestinal lumen, there was a large amount of bloody liquid. The stomach was full, and dark lumps similar to crushed castor bean seeds were observed in the contents. The adrenal glands of both horses presented congestion and hemorrhage in the cortex. In microscopy, the main lesion was an acute, diffuse and accentuated fibrin-necrotic enteropathy affecting the jejunum. The diagnosis of castor bean cake poisoning was based on the circumstantial evidence of by-product consumption supported by clinical and pathological aspects. The results indicate that castor bean cake commercially available as fertilizer is extremely toxic when ingested, and there is a need for appropriate detoxification or labeling informing of its toxicity.(AU)


title: Incidental COVID-19 Pneumonia on 18F-Fluorocholine PET/CT

text: We present the case of a patient who underwent F-fluorocholine PET/CT for biochemical recurrence of prostate cancer in which bilateral pneumonia was diagnosed. In the current state of COVID-19 pandemic, a high prevalence of incidental pneumonia may be expected, even with previous clinical triage, explained by a nondefined number of patients who were asymptomatic or minimally symptomatic for infectious process. Therefore, nuclear medicine physicians should be prepared to recognize and diagnose incidental COVID-19 pneumonia manifestation on F-fluorocholine PET/CT, due to the crucial epidemiological implications.


Personal protective equipment and concerns over airborne transmission of COVID-19: a reply


title: Internet of things (IoT) applications to fight against COVID-19 pandemic

text: BACKGROUND AND AIM: The current global challenge of COVID-19 pandemic has surpassed the provincial, radical, conceptual, spiritual, social, and pedagogical boundaries. Internet of Things (IoT) enabled healthcare system is useful for proper monitoring of COVID-19 patients, by employing an interconnected network. This technology helps to increase patient satisfaction and reduces readmission rate in the hospital. METHODS: Searched the databases of Google Scholar, PubMed, SCOPUS and ResearchGate using the keywords "Internet of things" or "IoT" and "COVID-19". Further inputs are also taken from blogs and relevant reports. RESULTS: IoT implementation impacts on reducing healthcare cost and improve treatment outcome of the infected patient. Therefore, this present study based research is attempted to explore, discuss, and highlight the overall applications of the well-proven IoT philosophy by offering a perspective roadmap to tackle the COVID-19 pandemic. Finally, twelve significant applications of IoT are identified and discussed. It has ultimately forced the researchers, academicians, and scientists to propose some productive solutions to overcome or confront this pandemic. CONCLUSIONS: IoT is helpful for an infected patient of COVID-19 to identify symptoms and provides better treatment rapidly. It is useful for patient, physician, surgeon and hospital management system.


Impact of Small-N Studies During a Pandemic


[67Ga] Ga-citrate and COVID-19-associated pneumonia: an unexpected absence of uptake


title: SARS-CoV-2/COVID-19 and physical distancing: risk for circadian rhythm dysregulation, advice to alleviate it, and natural experiment research opportunities

text: SARS-CoV-2/COVID-19 leads to numerous unplanned or natural experiments with health and disease. Physical (social) distancing - a counter-measure with no alternative, but with no precedence in scope and scale either - is a key intervention and trigger of natural experiments. From a practical perspective, concerned disciplines should increase awareness of, provide recommendations to meet, and develop research for, health challenges arising from physical distancing at home. From the field of chronobiology, prolonged home stays may place undue strain on the body's circadian timing system but straightforward and often underestimated advice for coping can be provided (herein we provide such advice). Of course, advice or recommendations from other concerned disciplines that identify challenges associated with current COVID-19 mitigation strategies are also needed. From a research perspective, different disciplines should rise to the occasion and explore unsuspected natural experiment angles toward novel insights to promote health and prevent disease.


title: Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open-label non-randomized clinical trial

text: BACKGROUND: Chloroquine and hydroxychloroquine have been found to be efficient on SARS-CoV-2, and reported to be efficient in Chinese COV-19 patients. We evaluate the role of hydroxychloroquine on respiratory viral loads. PATIENTS AND METHODS: French Confirmed COVID-19 patients were included in a single arm protocol from early March to March 16th, to receive 600mg of hydroxychloroquine daily and their viral load in nasopharyngeal swabs was tested daily in a hospital setting. Depending on their clinical presentation, azithromycin was added to the treatment. Untreated patients from another center and cases refusing the protocol were included as negative controls. Presence and absence of virus at Day6-post inclusion was considered the end point. RESULTS: Six patients were asymptomatic, 22 had upper respiratory tract infection symptoms and eight had lower respiratory tract infection symptoms. Twenty cases were treated in this study and showed a significant reduction of the viral carriage at D6-post inclusion compared to controls, and much lower average carrying duration than reported of untreated patients in the literature. Azithromycin added to hydroxychloroquine was significantly more efficient for virus elimination. CONCLUSION: Despite its small sample size our survey shows that hydroxychloroquine treatment is significantly associated with viral load reduction/disappearance in COVID-19 patients and its effect is reinforced by azithromycin.


Pain Management During the COVID-19 Pandemic


Recommendations for phototherapy during the COVID-19 pandemic


title: Study on the dynamic change law and correlation between CT imaging manifestations and cellular immunity of 2019 novel coronavirus disease

text: PURPOSE: To explore the dynamic changes and correlation between CT imaging manifestations and cellular immunity of COVID-19. MATERIALS AND METHODS: This retrospective review analyzed 23 patients with COVID-19, including 13 males and 10 females aged 27-70 years, with an average age of 48 years. Patients were divided into two groups: group A with 11 critical-severe patients, and group B with 12 common-mild patients. Clinical, laboratory, and radiological data were collected and analyzed. RESULTS: LYM, LYM (%), CD3+, CD4+, and CD8+ decreased, while NEU (%), CRP, and CT scores increased in all patients, WBC in group A increased. In group A, on day 10-12 after disease onset, CT scores and CRP reached the highest point, and day 13-15 LYM, LYM (%) reached the lowest but NEU (%) and WBC reached the highest, CD3+, CD4+ and CD8+ were at the lowest on day 10-15. In group B, on day 7-9, CT scores, NEU (%) and CRP reached the peak, but LYM, LYM (%), CD3+, CD4+ and CD8+ reached the lowest. In all patients, CT scores had a significantly negative correlation with CD3+, CD4+, CD8+, LYM (%), and LYM (p = 0.001, r = - 0.797; p = 0.008, r = - 0.698; p = 0.002, r = - 0.775; p < 0.001, r = - 0.785; p = 0.021, r = - 0.571, respectively), and a significantly positive correlation with WBC and NEU (%) (p < 0.001, r = 0.785; p = 0.003, r = 0.691, respectively). CONCLUSION: Dynamic changes of CT manifestations and cellular immunity of patients with COVID-19 were regular and correlation was high between these two parameters.


title: Relevance of KDPI value and acute rejection on kidney transplant outcomes in recipients with delayed graft function- A retrospective study

text: INTRODUCTION: Delayed graft function (DGF) is associated with poorer graft survival and higher rate of acute rejection (AR). It is unknown if this negative influence relies on the increased risk of AR or the DGF itself. The different Kidney Donor Profile Index (KDPI) values may also play a role in this interaction. METHODS: Retrospective study aimed to evaluate the impact of DGF on graft function and graft survival in a subset of KT recipients (2004-2017). We also analyzed the relationship between KDPI and DGF. RESULTS: The study includes601 KT,226of them (37%) developed DGF. Graft survival was lower in patients with DGF compared with non-DGF patients. Multivariable analysis revealed DGF as risk factor for graft loss, independently of the presence or not of acute rejection. Between DGF patients we observed poorer graft survival in patients with higher KDPI value (>85%).We observed a trend of a greater impact of KDPI in patients with DGF, although this interaction was not statistically significant. Additionally, we observed poorer 12-month graft function in DGF patients. CONCLUSION: DGF is related to poorer graft survival independently of the developed of acute rejection. This negative impact might be influenced by high KDPI values.