Objective: Healthcare workers (HCW) are at high risk of SARS-CoV-2 infection due to exposure to potentially infectious material, especially during aerosol-generating procedures (AGP). We aimed to investigate the prevalence of infection among HCW in medical disciplines with AGP. Design: A nationwide questionnaire-based study in in- and outpatient settings was conducted between 12/16/2020 and 01/24/2021. Data on SARS-CoV-2 infections among HCW and potential risk factors were investigated. Results: 2,070 healthcare facilities with 25,113 employees were included in the study. Despite a higher rate of pre-interventional testing, clinics treated three times more confirmed SARS-CoV-2 cases than private practices (28.8% vs. 88.4%, p<0.001). Overall infection rate among HCW accounted for 4.7%. Multivariate analysis revealed that ZIP-regions having comparably higher incidences were significantly associated with increased risk of infection. Furthermore, clinical setting and the GIE specialty have more than double the risk of infection (OR 2.63; 95% CI 2.501-2.817, p<0.01 and OR 2.35; 95% CI 2.245-2.498, p<0.01). The number of procedures performed per day was also significantly associated with an increased risk of infection (OR 1.01; 95% CI 1.007-1.014), p<0.01). No treatment of confirmed SARS-CoV-2 cases was tending to lower the risk of infection (OR 0.72; 95% CI 0.507-1.025, p=0.068). Conclusion: HCW in GIE seem to be at higher risk of infection than those in other AGP, especially in the clinical setting. Regions having comparably higher incidences as well as the number of procedures performed per day were also significantly associated with increased risk of infection.

The collection and processing of personal data offers great opportunities for technological advances, but the accumulation of vast amounts of personal data also increases the risk of misuse for malicious intentions, especially in health care Therefore, personal data are legally protected, e g , by the European General Data Protection Regulation (GDPR), which states that individuals must be transparently informed and have the right to take control over the processing of their personal data In real applications privacy policies are used to fulfill these requirements which can be negotiated via user interfaces The literature proposes privacy languages as an electronic format for privacy policies while the users privacy preferences are represented by preference languages However, this is only the beginning of the personal data life-cycle, which also includes the processing of personal data and its transfer to various stakeholders In this work we define a personal privacy workflow, considering the negotiation of privacy policies, privacy-preserving processing and secondary use of personal data, in context of health care data processing to survey applicable Privacy Enhancing Technologies (PETs) to ensure the individuals&rsquo;privacy Based on a broad literature review we identify open research questions for each step of the workflow

Due to their superior tolerability and efficacy, -lactams are the most potent and prescribed class of antibiotics in the clinic. The emergence of resistance to those antibiotics, mainly due to the production of bacterial enzymes called -lactamases, has been partially solved by the introduction of -lactamase inhibitors, which restore the activity of otherwise obsolete molecules. This solution is limited because currently available -lactamase inhibitors only work against serine -lactamases, whereas metallo--lactamases continue to spread, evolve, and confer resistance to all -lactams, including carbapenems. Furthermore, the increased use of antibiotics to treat secondary bacterial pneumonia in severely sick patients with COVID-19 might exacerbate the problem of antimicrobial resistance. In this Personal View, we summarise the main advances accomplished in this area of research, emphasise the main challenges that need to be solved, and the importance of research on inhibitors for metallo-B-lactamases amidst the current pandemic.

This study examined the main and interactive relations of stressors and coping related to severe acute respiratory syndrome (SARS) with Chinese college students' psychological adjustment (psychological symptoms, perceived general health, and life satisfaction) during the 2003 Beijing SARS epidemic. All the constructs were assessed by self-report in an anonymous survey during the final period of the outbreak. Results showed that the relations of stressors and coping to psychological adjustment varied by domain of adjustment. Regression analyses suggested that the number of stressors and use of avoidant coping strategies positively predicted psychological symptoms. Active coping positively predicted life satisfaction when controlling for stressors. Moreover, all types of coping served as a buffer against the negative impact of stressors on perceived general health. These findings hold implications for university counseling services during times of acute, large-scale stressors. In particular, effective screening procedures should be developed to identify students who experience a large number of stressors and thus are at high risk for developing mental health problems. Intervention efforts that target coping should be adapted to take account of the uncontrollability of stressors and clients' cultural preferences for certain coping strategies. A multidimensional battery of psychological adjustment should be used to monitor clients' psychological adjustment to stressors and evaluate the efficacy of intervention.

Objective: This study aims to investigate whether physical activity can promote students prosocial behavior by analyzing the relationship between sports participation and the prosocial behavior of junior high school students. Methods: Based on the 2014C2015 China education panel survey (CEPS), the relationship between regular athletic sports and prosocial behavior was evaluated among eighth-grade students by ordinary least squares (OLS) estimation and propensity score matching (PSM) and the relationship between OLS and PSM was evaluated by Rosenbaums bounds test for a robustness test; the observations were analyzed for heterogeneity to identify those who benefit more from sports. Results: The OLS results showed that sporting behavior increased prosocial behavior scores by 4%, and the PSM results showed that regular physical exercise increased students prosocial behavior tendencies by over 0.2 standard deviations from the mean prosocial behavior score (standardized). According to the Rosenbaums bounds test, the estimates were robust and reliable, and the results of the heterogeneity analysis showed that with males and students whose fathers had more than 9 years of education, the students showed more significant improvements in prosocial behavior. Conclusion: Physical activity has a significant positive effect on students prosocial behavior, and gender and the fathers education are significantly related to prosocial behavior.

The high morbidity and mortality rate of Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) infection arises majorly from the Acute Respiratory Distress Syndrome and cytokine storm syndrome, which is sustained by an aberrant systemic inflammatory response and elevated pro-inflammatory cytokines. Thus, phytocompounds with broad-spectrum anti-inflammatory activity that target multiple SARS-CoV-2 proteins will enhance the development of effective drugs against the disease. In this study, an in-house library of 117 steroidal plant-derived pregnanes (PDPs) was docked in the active regions of human glucocorticoid receptors (hGRs) in a comparative molecular docking analysis. Based on the minimal binding energy and a comparative dexamethasone binding mode analysis, a list of top twenty ranked PDPs docked in the agonist conformation of hGR, with binding energies ranging between ?9.8 and ?11.2 kcal/mol, was obtained and analyzed for possible interactions with the human Janus kinases 1 and Interleukins-6 and SARS-CoV-2 3-chymotrypsin-like protease, Papain-like protease and RNA-dependent RNA polymerase. For each target protein, the top three ranked PDPs were selected. Eight PDPs (bregenin, hirundigenin, anhydroholantogenin, atratogenin A, atratogenin B, glaucogenin A, glaucogenin C and glaucogenin D) with high binding tendencies to the catalytic residues of multiple targets were identified. A high degree of structural stability was observed from the 100 ns molecular dynamics simulation analyses of glaucogenin C and hirundigenin complexes of hGR. The selected top-eight ranked PDPs demonstrated high druggable potentials and favourable in silico ADMET properties. Thus, the therapeutic potentials of glaucogenin C and hirundigenin can be explored for further in vitro and in vivo studies.

Background Host genetics play a major role in COVID-19 susceptibility and severity. Here, we analyse an ethnically diverse cohort of National Health Service (NHS) patients in the United Kingdom (UK) to assess the association between variants in the ACE2 locus and COVID-19 risk. Methods We analysed whole-genome sequencing (WGS) data of 6,274 participants who were tested for SARS-CoV-2 from the UK's 100,000 Genomes Project (100KGP) for the presence of ACE2 variants and expression quantitative trait loci (eQTLs). Findings We identified a splice site variant (rs2285666) associated with increased ACE2 expression with an overrepresentation in SARS-CoV-2 positive patients relative to 100KGP controls (p = .015), and in hospitalised European patients relative to outpatients in intra-ethnic comparisons (p = .029). We also compared the prevalence of 288 eQTLs, of which 23 were enriched in SARS-CoV-2 positive patients. The eQTL rs12006793 had the largest effect size (d = 0.91), which decreases ACE2 expression and is more prevalent in controls, thus potentially reducing risk of COVID-19. We identified three novel nonsynonymous variants predicted to alter ACE2 function, and showed that three variants (p.K26R, p.H378R, p.Y515N) alter receptor affinity for the viral Spike (S) protein. Variants p.K26R and p.N720D are more prevalent in the European population (p < .001), but Y497H is less prevalent compared to East Asians (p = .020). Interpretation Our results demonstrate that the spectrum of genetic variants in ACE2 may inform risk stratification of COVID-19 patients and could partially explain the differences in disease susceptibility and severity among different ethnic groups. Funding The 100KGP is funded by the National Institute for Health Research and NHS England. Funding was also obtained from Stanford University, Palo Alto.

Eosinophils and their mediators play a crucial role in various reactive states such as bacterial and viral infections, chronic inflammatory disorders, and certain hematologic malignancies. Depending on the underlying pathology, molecular defect(s), and the cytokine- and mediator-cascades involved, peripheral blood and tissue hypereosinophilia (HE) may develop and may lead to organ dysfunction or even organ damage which usually leads to the diagnosis of a HE syndrome (HES). In some of these patients, the etiology and impact of HE remain unclear. These patients are diagnosed with idiopathic HE. In other patients, HES is diagnosed but the etiology remains unknown these patients are classified as idiopathic HES. For patients with HES, early therapeutic application of agents reducing eosinophil counts is usually effective in avoiding irreversible organ damage. Therefore, it is important to systematically explore various diagnostic markers and to correctly identify the disease elicitors and etiology. Depending on the presence and type of underlying disease, HES are classified into primary (clonal) HES, reactive HES, and idiopathic HES. In most of these patients, effective therapies can be administered. The current article provides an overview of the pathogenesis of eosinophil-associated disorders, with special emphasis on the molecular, immunological, and clinical complexity of HE and HES. In addition, diagnostic criteria and the classification of eosinophil disorders are reviewed in light of new developments in the field.

PURPOSE Because of the widespread use of CT in the diagnosis of COVID 19, indeterminate presentations such as single, few or unilateral lesions amount to a considerable number. We aimed to develop a new classification and structured reporting system on CT imaging (COVID-19 S) that would facilitate the diagnosis of COVID-19 in the most accurate way. METHODS Our retrospective cohort included 803 patients with a chest CT scan upon suspicion of COVID 19. The patients' history, physical examination, CT findings, RT PCR, and other laboratory test results were reviewed, and a final diagnosis was made as COVID 19 or non-COVID 19. Chest CT scans were classified according to the COVID 19 S CT diagnosis criteria. Cohen's kappa analysis was used. RESULTS Final clinical diagnosis was COVID-19 in 98 patients (12%). According to the COVID-19 S CT diagnosis criteria, the number of patients in the normal, compatible with COVID 19, indeterminate and alternative diagnosis groups were 581 (72.3%), 97 (12.1%), 16 (2.0%) and 109 (13.6%). When the indeterminate group was combined with the group compatible with COVID 19, the sensitivity and specificity of COVID-19 S were 99.0% and 87.1%, with 85.8% positive predictive value (PPV) and 99.1% negative predictive value (NPV). When the indeterminate group was combined with the alternative diagnosis group, the sensitivity and specificity of COVID-19 S were 93.9% and 96.0%, with 94.8% PPV and 95.2% NPV. CONCLUSION COVID-19 S CT classification system may meet the needs of radiologists in distinguishing COVID-19 from pneumonia of other etiologies and help optimize patient management and disease control in this pandemic by the use of structured reporting.

INTRODUCTION: We aimed to examine the impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic on diabetic ketoacidosis (DKA) rates in children with type 1 diabetes (T1D). METHODS: A retrospective cross-sectional study of 11 Israeli pediatric emergency departments (ED) was conducted. Children with T1D who attended the ED between March 1, 2020 and May 31, 2020 were compared with those who attended the ED between March 1, 2019 and May 31, 2019. RESULTS: Overall, 150 and 154 children with T1D attended the EDs during the 3-month study periods in 2020 and 2019, respectively. Among patients with established T1D, DKA rates significantly increased in 2020 compared to 2019 [38/64 (59.3%) vs 31/74 (41.9%); p < 0.043]. There was a non-statistically significant trend toward a higher rate of DKA in patients with newly diagnosed T1D [46/86 (53.4%) vs 31/80 (38.7%); p = 0.063]. No differences were observed in the rates of severe DKA in 2020 compared to 2019 among patients with established T1D [10/64 (15.6%) vs 6/74 (8.1%); p = 0.184], and newly diagnosed T1D [16/86 (18.6%) vs 14/80 (17.5%); p = 0.858]. No differences were observed in the rates of intensive care unit admissions in 2020 compared to 2019 among patients with established T1D [14/64 (21.8%) vs 14/74 (18.9%); p = 0.672], and newly diagnosed T1D [26/86 (30.2%) vs 21/80 (26.2%); p = 0.977]. CONCLUSIONS: Increased rates of DKA in children with established T1D were observed during the first 3 months of the outbreak in Israel. The findings suggest that the severity of DKA at ED presentation in children with T1D was not influenced by the pandemic.

Intimate Partner Violence (IPV) is a public health problem with harsh consequences for womens well-being. Social attitudes towards victims of IPV have a big impact on the perpetuation of this phenomenon. Moreover, specific problems such as the abuse of alcohol and drugs by IPV victims could have an effect on blame attributions towards them. The aim of this study was to evaluate whether the external perception (Study 1) and self-perception (Study 2) of blame were influenced by the victims use and abuse of alcohol or by the victims use of psychotropic prescription drugs. Results of the first study (N = 136 participants) showed a significantly higher blame attribution towards female victims with alcohol abuse compared to those without it. No significant differences were found on blame attributed to those with psychotropic prescription drugs abuse and the control group. Results of the second study (N = 195 female victims of interpersonal violence) showed that alcohol consumption is associated with higher self-blame and self-blame cognitions among IPV victims. However, results did not show significant differences on self-blame associated to the victims use of psychotropic prescription drugs. Our findings indicate that alcohol consumption, but not prescription drugs use, plays a relevant role in the attribution of blame by general population and self-blame by victims of IPV.

[Figure: see text].

Background: The Social Motivation Hypothesis proposes that individuals with autism spectrum disorder (ASD) experience social interactions as less rewarding than their neurotypical (TD) peers, which may lead to reduced social initiation. Existing studies of the brain's reward system in individuals with ASD report varied findings for anticipation of and response to social rewards. Given discrepant findings, the anticipation of and response to social rewards should be further evaluated, particularly in the context of intervention outcome. We hypothesized that individual characteristics may help predict neural changes from pre- to post-intervention. Methods: Thirteen adolescents with ASD received the Program for the Education and Enrichment of Relational Skills (PEERS) intervention for 16 weeks; reward-related EEG was collected before and after intervention. Fourteen TD adolescents were tested at two timepoints but did not receive intervention. Event-related potentials were calculated to measure anticipation of (stimulus-preceding negativity; SPN) and response to (reward-related positivity; RewP) social and non-social rewards. Additionally, measures of social responsiveness, social skills, and intervention-engagement were collected. Group differences were analyzed as well as individual differences using prediction models. Result: Parent-reported social responsiveness and social skills improved in adolescents with ASD after participation in PEERS. ASD adolescents displayed marginally decreased anticipation of social rewards at post-intervention compared to pre-intervention. Regression models demonstrated that older adolescents and those with lower parent-reported social motivation prior to participation in PEERS displayed marginally increased social reward anticipation (more robust SPN) from pre- to post-intervention. Participants who displayed more parent-reported social motivation before intervention and were more actively engaged in the PEERS intervention evidenced increased social reward processing (more robust RewP) from pre- to post-intervention. Conclusion: Findings suggest that there may be differences in saliency between wanting/anticipating social rewards vs. liking/responding to social rewards in individuals with ASD. Our findings support the hypothesis that identification of individual differences may predict which adolescents are poised to benefit the most from particular interventions. As such, reported findings set the stage for the advancement of precision medicine. This investigation is a critical step forward in our ability to understand and predict individual response to interventions in individuals with ASD.

Objectives: The objectives of this study are to assess the relationship between media exposure and post-traumatic stress symptoms (PTSS) and to highlight the underlying mechanisms mediated by risk perception.

INTRODUCTION: The viral infection COVID-19 is highly infectious and has claimed many lives till date and is still continuing to consume lives. In the COVID-19, along with pulmonary symptoms, cardiovascular (CV) events were also recorded that have known to significantly contribute to the mortality. In our study, we designed and validated a new risk score that can predict CV events, and also evaluated the effect of these complications on the prognosis in COVID-19 patients. MATERIALS AND METHODS: A retrospective, multicenter, observational study was done among 1000 laboratory-confirmed COVID-19 patients between June 2020 and December 2020. All the data of the clinical and laboratory parameters were collected. Patients were randomly divided into two groups for testing and validating the hypothesis. The identification of the independent risk factors was done by the logistic regression analysis method. RESULTS: Of all the types of the clinical and laboratory parameters, ten independent risk factors were identified associated with CV events in Group A: male gender, older age, chronic heart disease, cough, lymphocyte count <1.1 10(9)/L at admission, blood urea nitrogen >7 mmol/L at admission, estimated glomerular filtration rate <90 ml/min/1.73 m(2) at admission, activated partial thromboplastin time >37 S, D-dimer, and procalcitonin >0.5 mg/L. In our study, we found that CV events were significantly related with inferior prognosis (P < 0.001). CONCLUSIONS: A new risk scoring system was designed in our study, which may be used as a predictive tool for CV complications among the patients with COVID-19 infection.

The ongoing coronavirus disease 2019 (COVID-19) pandemic continues to present diagnostic challenges. The use of thoracic radiography has been studied as a method to improve the diagnostic accuracy of COVID-19. The Living Cochrane Systematic Review on the diagnostic accuracy of imaging tests for COVID-19 is continuously updated as new information becomes available for study. In the most recent version, published in March 2021, a meta-analysis was done to determine the pooled sensitivity and specificity of chest X-ray (CXR) and lung ultrasound (LUS) for the diagnosis of COVID-19. CXR gave a sensitivity of 80.6% (95%CI: 69.1-88.6) and a specificity of 71.5% (95%CI: 59.8-80.8). LUS gave a sensitivity rate of 86.4% (95%CI: 72.7-93.9) and specificity of 54.6% (95%CI: 35.3-72.6). These results differed from the findings reported in the recent article in this journal where they cited the previous versions of the study in which a meta-analysis for CXR and LUS could not be performed. Additionally, the article states that COVID-19 could not be distinguished, using chest computed tomography (CT), from other respiratory diseases. However, the latest review version identifies chest CT as having a specificity of 80.0% (95%CI: 74.9-84.3), which is much higher than the previous version which indicated a specificity of 61.1% (95%CI: 42.3-77.1). Therefore, CXR, chest CT and LUS have the potential to be used in conjunction with other methods in the diagnosis of COVID-19.

ObjectiveThe COVID-19 pandemic has coincided with an increase in depressive symptoms as well as a growing awareness of health inequities and structural racism in the United States. Here, we examine the mental health impact of everyday discrimination during the pandemic in a large and diverse cohort of the All of Us Research Program. MethodsUsing repeated assessments of 62,651 participants in May to July of 2020, we fitted mixed-effects models to assess the effect of everyday discrimination on moderate to severe depression (Patient Health Questionnaire (PHQ)-9 [] 10) and suicidal ideation (PHQ-9 item 9 > 0), and applied inverse probability weights to account for non-random probabilities of completing the voluntary survey. ResultsEveryday discrimination was associated with increased odds of depression (adjusted odds ratio (aOR) [95% CI]: 1.21 [1.20 -1.22]) and suicidal ideation (1.17 [1.16-1.18]). For depression, the effects were larger in earlier phases of the pandemic (interaction p=8.2x10-5), which varied by main reason for discrimination and self-reported race and ethnicity. Among those who identified race or ancestry/national origin(s) as a primary reason for discrimination, Asian and Black or African American participants had 24% and 17% increase in the odds of depression in May of 2020 (1.24 [1.17-1.31] and 1.17 [1.12-1.22]), respectively, versus a 3% and 7% increase in July (1.03 [0.96-1.10] and 1.07 [1.02-1.12]). ConclusionIn this large and diverse sample, increased levels of everyday discrimination were associated with higher odds of depression, particularly during the early phase of the pandemic among participants self-identifying as Asian or Black.

In March 2020, COVID-19 disrupted global society Impacts as a result of COVID-19 were seen in all industries, including higher education research, which was paused in order to accommodate newly imposed restrictions Social science research, specifically stakeholder engagement research, was one area that was potentially impacted given its need for person-to-person interaction Here, we describe how we successfully adjusted our stakeholder engagement methodology to accommodate for socially distant requirements Initially, we planned to host in-person workshops to assess stakeholder perceptions of microplastics impacts on oysters in Boston Harbor and coastal Massachusetts using the deliberative multicriteria evaluation (DMCE) methodology To transfer these workshops online, we used familiar, open-access platforms, Zoom and GoogleDrive, to enable dialogue among participants and evaluate preferences While modifications to length (5 to 3 h) and order (participants were asked to watch expert videos before their participation date) of the workshop were necessary, most other elements of the methodology remained the same for the online format The main element that was lacking was the in-person interactions However, with video conferencing tools available, this element was not completely lost

BACKGROUND Severe acute respiratory syndrome (SARS) is a febrile, respiratory tract illness caused by infection with the newly identified SARS-associated coronavirus. A notable feature of the 2003 global SARS outbreak was the relative paucity of cases reported among children. We reviewed the epidemiologic and clinical features of SARS in children and discuss implications of these findings for diagnosis, treatment and prevention of SARS. METHODS We performed a literature search to identify reports of pediatric (younger than 18 years of age) patients meeting the World Health Organization case definitions for SARS and abstracted relevant clinical and epidemiologic information. RESULTS We identified 6 case series reporting 135 pediatric SARS patients (80 laboratory-confirmed, 27 probable and 28 suspect) from Canada, Hong Kong, Taiwan and Singapore. Among laboratory-confirmed and probable SARS cases, the most common symptoms included fever (98%), cough (60%) and nausea or vomiting (41%); 97% had radiographic abnormalities. The clinical presentation of SARS in patients older than 12 years of age was similar to that in adults. However, patients 12 years of age or younger had milder disease and were less likely than older children to be admitted to an intensive care unit, receive supplemental oxygen or be treated with methylprednisolone. No deaths were reported among children or adolescents with SARS, and at 6 months after illness only mild residual changes were reported in exercise tolerance and pulmonary function. There is only 1 published report of transmission of SARS virus from a pediatric patient. CONCLUSIONS Children and adolescents are susceptible to SARS-associated coronavirus infection, although the clinical course and outcome are more favorable in children younger than 12 years of age compared with adolescents and adults. Transmission of SARS from pediatric patients appears to be uncommon but is possible.

In efforts to synthesize a clear understanding of SARS-CoV-2 protective immunity, antibody analysis has been paralleled by T cell studies across asymptomatic, mild and severe COVID-19. Defining CD4 and CD8 effector functions in protection is important considering that antibody responses appear short-lived and T cell memory is potentially more durable. To fully understand population level immunity, screening for both antibody and T cell immunity using standardized testing methods would be beneficial.