Bleach Emissions Interact Substantially with Surgical and KN95 Mask Surfaces.

Mask wearing and bleach disinfectants became commonplace during the COVID-19 pandemic. Bleach generates toxic species including hypochlorous acid (HOCl), chlorine (Cl2), and chloramines. Their reaction with organic species can generate additional toxic compounds. To understand interactions between masks and bleach disinfection, bleach was injected into a ventilated chamber containing a manikin with a breathing system and wearing a surgical or KN95 mask. Concentrations inside the chamber and behind the mask were measured by a chemical ionization mass spectrometer (CIMS) and a Vocus proton transfer reaction mass spectrometer (Vocus PTRMS). HOCl, Cl2, and chloramines were observed during disinfection and concentrations inside the chamber are 2-20 times greater than those behind the mask, driven by losses to the mask surface. After bleach injection, many species decay more slowly behind the mask by a factor of 0.5-0.7 as they desorb or form on the mask. Mass transfer modeling confirms the transition of the mask from a sink during disinfection to a source persisting >4 h after disinfection. Humidifying the mask increases reactive formation of chloramines, likely related to uptake of ammonia and HOCl. These experiments indicate that masks are a source of chemical exposure after cleaning events occur.

Defining a Patient-Centred Core Outcome Domain Set for the Assessment of Hearing Rehabilitation With Clients and Professionals.

Background: A variety of outcome domains are currently measured for the assessment of hearing rehabilitation. To date, there is no consensus about which outcome domains should be measured, when they should be measured, and how they should be measured. In addition, most studies seeking to develop core outcome sets and measures for hearing rehabilitation services have primarily focussed on the opinions and expertise of researchers, and, to a lesser extent, clinicians, rather than also involving clients of those services. The principles of experience-based co-design suggest that health services, researchers, and policymakers should come together with clients and their families to design health services and define what metrics should be used for their success. Objectives: This study aimed to seek views and consensus from a range of key stakeholders to define which client-centred self-report outcome domains should be measured, when they should be measured, and how they should be measured, in a national publicly funded hearing rehabilitation scheme. In addition, the study aimed to identify current and future potential mechanisms and systems to standardise the collection of data and reporting of outcomes, to enable comparison across clients and hearing service providers. Methods: Two stakeholder groups participated in a three-round online Delphi process: (1) 79 professional stakeholders involved in the delivery of hearing services in Australia, and (2) 64 hearing rehabilitation services' clients identified by not-for-profit consumer organisations. An initial set of in-person workshops scoped the key issues upon which to develop the initial open-ended questions and subsequent Likert-scale statements addressing these issues. These statements were then distributed to both groups in an online survey. The respondent ratings were summarised, and the summary was returned to respondents along with a second round of the survey. This process was then repeated once more. The five most important outcome domains from both groups were then combined, and a consensus workshop of seven professionals and three client advocates agreed on the top four ranked domains. Results: A range of potential outcome domains were identified as relevant indicators of successful hearing rehabilitation. Communication ability, personal relationships, wellbeing, and participation restrictions were identified as a core outcome domain set that should be measured as a minimum for patients receiving hearing rehabilitation. There was little agreement on the preferred timepoints for collection of outcome measures, with respondents expressing the view that this should be established by research once a set of outcome measures has been selected. However, there was broad agreement that measurements of these domains should be collected at baseline (before the provision of hearing rehabilitation) and no earlier than 3 months following the completion of rehabilitation. Potential benefits and issues with the development of a national outcomes database/collection system were also identified and prioritised, with participants highlighting the importance of valid, high-quality, trustworthy, and comprehensive data collection. Conclusion: These results provide a Core Outcome Domain Set for the self-reported evaluation of hearing rehabilitation and provide important background information for the design of methods to implement them across hearing healthcare systems. However, the wide range of outcome domains identified as potentially providing important additional information and the lack of specific measures to address these domains strongly suggest that there is still more research to be done. Ongoing stakeholder engagement will continue to be vital for future implementation. In addition, further research is required to determine the optimal time following hearing rehabilitation to utilise any particular outcome measure.

A high-resolution melt curve toolkit to identify lineage-defining SARS-CoV-2 mutations.

The emergence of severe acute respiratory syndrome 2 (SARS-CoV-2) variants of concern (VOCs), with mutations linked to increased transmissibility, vaccine escape and virulence, has necessitated the widespread genomic surveillance of SARS-CoV-2. This has placed a strain on global sequencing capacity, especially in areas lacking the resources for large scale sequencing activities. Here we have developed three separate multiplex high-resolution melting assays to enable the identification of Alpha, Beta, Delta and Omicron VOCs. The assays were evaluated against whole genome sequencing on upper-respiratory swab samples collected during the Alpha, Delta and Omicron [BA.1] waves of the UK pandemic. The sensitivities of the eight individual primer sets were all 100%, and specificity ranged from 94.6 to 100%. The multiplex HRM assays have potential as a tool for high throughput surveillance of SARS-CoV-2 VOCs, particularly in areas with limited genomics facilities.

Emergent variant modeling of the serological repertoire to norovirus in young children.

Human norovirus is the leading cause of acute gastroenteritis. Young children and the elderly bear the greatest burden of disease, representing more than 200,000 deaths annually. Infection prevalence peaks at younger than 2 years and is driven by novel GII.4 variants that emerge and spread globally. Using a surrogate neutralization assay, we characterize the evolution of the serological neutralizing antibody (nAb) landscape in young children as they transition between sequential GII.4 pandemic variants. Following upsurge of the replacement variant, antigenic cartography illustrates remodeling of the nAb landscape to the new variant accompanied by improved nAb titer. However, nAb relative avidity remains focused on the preceding variant. These data support immune imprinting as a mechanism of immune evasion and GII.4 virus persistence across a population. Understanding the complexities of immunity to rapidly evolving and co-circulating viral variants, like those of norovirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV2), and dengue viruses, will fundamentally inform vaccine design for emerging pathogens.

Positive Psychological Effects of School-Based Yoga and Mindfulness Programs for At-Risk Hispanic Adolescents.

This quasi-experimental study investigates differences in the impact of school-based yoga interventions and mindfulness practices on psychological well-being impact factors in at-risk Hispanic adolescent high school students compared to similar students enrolled in traditional physical education classes. Due to the global COVID-19 pandemic, experimental conditions were delivered virtually. The BRUMS and PANAS-C were utilized to assess psychological well-being constructs of mood and affect. Statistical analyses included Friedman's test for nonparametric data, comparisons of pre post change scores between yoga and physical education classes, and longitudinal data trends for each subscale from the study's inception to conclusion. The findings show that school-based yoga participants exhibited higher levels of improved mood and affect with large effect sizes than those enrolled in a standard physical education (PE) class during the 12 weeks of the intervention. Implications and further directions are discussed.

Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device.

Background and objectives: The high transmissibility of SARS-CoV-2 has exposed weaknesses in our infection control and detection measures, particularly in healthcare settings. Aerial sampling has evolved from passive impact filters to active sampling using negative pressure to expose culture substrate for virus detection. We evaluated the effectiveness of an active air sampling device as a potential surveillance system in detecting hospital pathogens, for augmenting containment measures to prevent nosocomial transmission, using SARS-CoV-2 as a surrogate. Methods: We conducted air sampling in a hospital environment using the AerosolSenseTM air sampling device and compared it with surface swabs for their capacity to detect SARS-CoV-2. Results: When combined with RT-qPCR detection, we found the device provided consistent SARS-CoV-2 detection, compared to surface sampling, in as little as 2 h of sampling time. The device also showed that it can identify minute quantities of SARS-CoV-2 in designated "clean areas" and through a N95 mask, indicating good surveillance capacity and sensitivity of the device in hospital settings. Conclusion: Active air sampling was shown to be a sensitive surveillance system in healthcare settings. Findings from this study can also be applied in an organism agnostic manner for surveillance in the hospital, improving our ability to contain and prevent nosocomial outbreaks.

Detection of hospital environmental contamination during SARS-CoV-2 Omicron predominance using a highly sensitive air sampling device

Background and objectives The high transmissibility of SARS-CoV-2 has exposed weaknesses in our infection control and detection measures, particularly in healthcare settings. Aerial sampling has evolved from passive impact filters to active sampling using negative pressure to expose culture substrate for virus detection. We evaluated the effectiveness of an active air sampling device as a potential surveillance system in detecting hospital pathogens, for augmenting containment measures to prevent nosocomial transmission, using SARS-CoV-2 as a surrogate. Methods We conducted air sampling in a hospital environment using the AerosolSenseTM air sampling device and compared it with surface swabs for their capacity to detect SARS-CoV-2. Results When combined with RT-qPCR detection, we found the device provided consistent SARS-CoV-2 detection, compared to surface sampling, in as little as 2 h of sampling time. The device also showed that it can identify minute quantities of SARS-CoV-2 in designated "clean areas” and through a N95 mask, indicating good surveillance capacity and sensitivity of the device in hospital settings. Conclusion Active air sampling was shown to be a sensitive surveillance system in healthcare settings. Findings from this study can also be applied in an organism agnostic manner for surveillance in the hospital, improving our ability to contain and prevent nosocomial outbreaks.

Evaluation of cost data associated with pediatric cochlear implantation (CI) throughout 2016-2021.

INTRODUCTION: Cochlear Implants (CI) are a mainstay in the treatment of severe sensorineural hearing loss with proven cost-effectiveness and improved quality of life. However, costs associated with CI are variable. During the Covid-19 pandemic, elective surgeries decreased. The investigation into how the pandemic affected CI procedures, costs, and demographic utilization has not been elucidated. METHODS: A retrospective cohort study using the Pediatric Health Information System® (PHIS) database, which consists of 50 children's hospitals, was performed. Regions were defined according to PHIS guidelines. We evaluated number of CIs, total charges and costs, Charge to Cost Ratios (CCR), demographic information, and subgrouped this analysis by region throughout 2016-2021. Charges were adjusted by CMS wage index for hospital location. RESULTS: During the years of 2016-2021, there was a rising number of CIs every year except for 2020 which had a decrease, largely driven by the southern and midwestern regions. The median number of cases did not differ between the years. The median adjusted charges increased every year, but not significantly ($103,883-$125,394). The median CCR also did not differ throughout the years (2.7-3.1). Still, there was a larger interquartile range in 2021 (2.3-4.4) for the median CCR compared to all other years (2.1-3.8), particularly in the South. The percentage of white, non-Hispanic/Latino patients who underwent CI was larger in 2020-2021 (78-79.8 %) compared to 2016-2019 (73.3-77.5 %). CONCLUSIONS: The number of CIs in 2020 was lower than in 2019 or 2021. The median CCR for CI procedures increased from 2016 to 2021 but not significantly. The range of CCR was larger in 2021 compared to the years prior, suggestive of cost shifting by some hospitals to offset the loss in revenue. There was a small but significant increase in white, non-Hispanic patients receiving CI in 2020 and 2021, suggestive of a socio-economic shift in care post pandemic.

Positive Psychological Effects of School-Based Yoga and Mindfulness Programs for At-Risk Hispanic Adolescents

This quasi-experimental study investigates differences in the impact of school-based yoga interventions and mindfulness practices on psychological well-being impact factors in at-risk Hispanic adolescent high school students compared to similar students enrolled in traditional physical education classes. Due to the global COVID-19 pandemic, experimental conditions were delivered virtually. The BRUMS and PANAS-C were utilized to assess psychological well-being constructs of mood and affect. Statistical analyses included Friedman’s test for nonparametric data, comparisons of pre post change scores between yoga and physical education classes, and longitudinal data trends for each subscale from the study’s inception to conclusion. The findings show that school-based yoga participants exhibited higher levels of improved mood and affect with large effect sizes than those enrolled in a standard physical education (PE) class during the 12 weeks of the intervention. Implications and further directions are discussed.

IDentif.AI-Omicron: Harnessing an AI-Derived and Disease-Agnostic Platform to Pinpoint Combinatorial Therapies for Clinically Actionable Anti-SARS-CoV-2 Intervention.

Nanomedicine-based and unmodified drug interventions to address COVID-19 have evolved over the course of the pandemic as more information is gleaned and virus variants continue to emerge. For example, some early therapies (e.g., antibodies) have experienced markedly decreased efficacy. Due to a growing concern of future drug resistant variants, current drug development strategies are seeking to find effective drug combinations. In this study, we used IDentif.AI, an artificial intelligence-derived platform, to investigate the drug-drug and drug-dose interaction space of six promising experimental or currently deployed therapies at various concentrations: EIDD-1931, YH-53, nirmatrelvir, AT-511, favipiravir, and auranofin. The drugs were tested in vitro against a live B.1.1.529 (Omicron) virus first in monotherapy and then in 50 strategic combinations designed to interrogate the interaction space of 729 possible combinations. Key findings and interactions were then further explored and validated in an additional experimental round using an expanded concentration range. Overall, we found that few of the tested drugs showed moderate efficacy as monotherapies in the actionable concentration range, but combinatorial drug testing revealed significant dose-dependent drug-drug interactions, specifically between EIDD-1931 and YH-53, as well as nirmatrelvir and YH-53. Checkerboard validation analysis confirmed these synergistic interactions and also identified an interaction between EIDD-1931 and favipiravir in an expanded range. Based on the platform nature of IDentif.AI, these findings may support further explorations of the dose-dependent drug interactions between different drug classes in further pre-clinical and clinical trials as possible combinatorial therapies consisting of unmodified and nanomedicine-enabled drugs, to combat current and future COVID-19 strains and other emerging pathogens.

The IDentif.AI-x pandemic readiness platform: Rapid prioritization of optimized COVID-19 combination therapy regimens.

IDentif.AI-x, a clinically actionable artificial intelligence platform, was used to rapidly pinpoint and prioritize optimal combination therapies against COVID-19 by pairing a prospective, experimental validation of multi-drug efficacy on a SARS-CoV-2 live virus and Vero E6 assay with a quadratic optimization workflow. A starting pool of 12 candidate drugs developed in collaboration with a community of infectious disease clinicians was first narrowed down to a six-drug pool and then interrogated in 50 combination regimens at three dosing levels per drug, representing 729 possible combinations. IDentif.AI-x revealed EIDD-1931 to be a strong candidate upon which multiple drug combinations can be derived, and pinpointed a number of clinically actionable drug interactions, which were further reconfirmed in SARS-CoV-2 variants B.1.351 (Beta) and B.1.617.2 (Delta). IDentif.AI-x prioritized promising drug combinations for clinical translation and can be immediately adjusted and re-executed with a new pool of promising therapies in an actionable path towards rapidly optimizing combination therapy following pandemic emergence.

Impact of COVID-19 on nationwide pediatric otolaryngology practice: Adenotonsillectomies (TA) and tonsil-related diagnoses trends.

OBJECTIVES/HYPOTHESIS: To determine the effects of the COVID-19 pandemic on Adenotonsillectomies (TA), Tonsil Related Cases (TC), and Peritonsillar Abscess (PTA) Trends. STUDY DESIGN: Retrospective Cohort Study. METHODS: This is a retrospective cohort study using the Pediatric Health Information System® (PHIS) database, which consists of 51 children's hospitals. Regions were defined according to PHIS rules with at least five children's hospitals per region. We compared monthly total TA, TC, TC as a proportion of all hospital visits, and PTA from all encounters at each hospital from January 1, 2019, through December 31, 2021. RESULTS: Compared to 2019, April 2020 saw mean TC drop significantly from 371.62 to 68.37 (p < 0.001). Interestingly, June, September, and December 2020 had significantly higher mean TC compared to 2019. TC as a proportion of all hospital visits decreased significantly throughout the majority of 2021. Similarly, TA significantly decreased during 2020 and 2021 across all regions in the US, starting in March 2020 and this reduction in TA extended through the end of 2021 without any signs of recovery. PTA rates did not change significantly over the three years. CONCLUSIONS: The pandemic-plagued 2020 saw a noticeable decrease in overall TC and TA but then rebounded quickly to even higher than pre-pandemic levels. However, this rebound halted for the majority of 2021 and subsequently decreased to lower than pre-pandemic levels, which differs from other communicable pathologies such as otitis media which decreased initially then recovered to pre-pandemic levels by Summer of 2021.

Cryptocurrencies, Diversification and the COVID-19 Pandemic

This paper features an analysis of cryptocurrencies and the impact of the COVID-19 pandemic on their effectiveness as a portfolio diversification tool and explores the correlations between the continuously compounded returns on Bitcoin, Ethereum and the S&P500 Index using a variety of parametric and non-parametric techniques. These methods include linear standard metrics such as the application of ordinary least squares regression (OLS) and the Pearson, Spearman and Kendall’s tau measures of association. In addition, non-linear, non-parametric measures such as the Generalised Measure of Correlation (GMC) and non-parametric copula estimates are applied. The results across this range of measures are consistent. The metrics suggest that, whilst the shock of the COVID-19 pandemic does not appear to have increased the correlations between the cryptocurrency series, it appears to have increased the correlations between the returns on cryptocurrencies and those on the S&P500 Index. This suggests that investments in cryptocurrencies are not likely to offer key diversification strategies in times of crisis, on the basis of evidence provided by this crisis.

Using trained dogs and organic semi-conducting sensors to identify asymptomatic and mild SARS-CoV-2 infections: an observational study.

BACKGROUND: A rapid, accurate, non-invasive diagnostic screen is needed to identify people with SARS-CoV-2 infection. We investigated whether organic semi-conducting (OSC) sensors and trained dogs could distinguish between people infected with asymptomatic or mild symptoms, and uninfected individuals, and the impact of screening at ports-of-entry. METHODS: Odour samples were collected from adults, and SARS-CoV-2 infection status confirmed using RT-PCR. OSC sensors captured the volatile organic compound (VOC) profile of odour samples. Trained dogs were tested in a double-blind trial to determine their ability to detect differences in VOCs between infected and uninfected individuals, with sensitivity and specificity as the primary outcome. Mathematical modelling was used to investigate the impact of bio-detection dogs for screening. RESULTS: About, 3921 adults were enrolled in the study and odour samples collected from 1097 SARS-CoV-2 infected and 2031 uninfected individuals. OSC sensors were able to distinguish between SARS-CoV-2 infected individuals and uninfected, with sensitivity from 98% (95% CI 95-100) to 100% and specificity from 99% (95% CI 97-100) to 100%. Six dogs were able to distinguish between samples with sensitivity ranging from 82% (95% CI 76-87) to 94% (95% CI 89-98) and specificity ranging from 76% (95% CI 70-82) to 92% (95% CI 88-96). Mathematical modelling suggests that dog screening plus a confirmatory PCR test could detect up to 89% of SARS-CoV-2 infections, averting up to 2.2 times as much transmission compared to isolation of symptomatic individuals only. CONCLUSIONS: People infected with SARS-CoV-2, with asymptomatic or mild symptoms, have a distinct odour that can be identified by sensors and trained dogs with a high degree of accuracy. Odour-based diagnostics using sensors and/or dogs may prove a rapid and effective tool for screening large numbers of people.Trial Registration NCT04509713 (clinicaltrials.gov).

Trump's COVID-19 tweets and Dr. Fauci's emails.

The paper features an analysis of former President Trump's early tweets on COVID-19 in the context of Dr. Fauci's recently revealed email trove. The tweets are analysed using various data mining techniques, including sentiment analysis. These techniques facilitate exploration of content and sentiments within the texts, and their potential implications for the national and international reaction to COVID-19. The data set or corpus includes 159 tweets on COVID-19 that are sourced from the Trump Twitter Archive, running from 24 January 2020 to 2 April 2020. In addition we use Zipf and Mandelbrot's power law to calibrate the extent to which they differ from normal language patterns. A context for the emails is provided by the recently revealed email trove of Dr. Fauci, obtained by Buzzfeed on 1 June 2021 obtained under the Freedom of Information Act.

The COVOSMIA-19 trial: Preliminary application of the Singapore smell and taste test to objectively measure smell and taste function with COVID-19.

Sudden loss of smell and/or taste has been identified as an early symptom of SARS-CoV-2 2019 (COVID-19) infection, and presents an effective target for prompt self-isolation and reducing community spread. The current study sought to develop and test a novel, rapid, self-administered test to objectively measure smell and taste losses associated with COVID-19, and administered self-report questionnaires to characterise symptoms associated with COVID-19 in Singapore. Participants (N = 99) completed questionnaires to record recent changes in smell and taste ability. This was followed by the 'Singapore Smell and Taste Test' (SSTT), a personal, objective testing kit for daily self-assessment of smell and taste function at their place of residence. Seventy-two recruited participants were confirmed as COVID-19 positive at baseline, of which 58 completed the SSTT at home. Of these, 36.2% had objectively measured smell and/or taste loss. The SSTT measures of smell and taste function were positively associated with participants' self-reported smell and taste acuity, and rated smell intensity of 6 common household items. This study presents the first application of the SSTT as a rapid, cost-effective, objective tool to self-monitor smell and taste function in a residential setting, and ensures comparability across individuals through the use of standardised stimuli. The SSTT has potential for future application in populations with limited access to formal COVID-19 testing as a self-administered objective method to monitor sudden changes in smell and taste, and to prompt early self-isolation, in order to reduce community transmission of COVID-19.

Neutralizing Monoclonal Antibody Treatment Reduces Hospitalization for Mild and Moderate Coronavirus Disease 2019 (COVID-19): A Real-World Experience.

BACKGROUND: Neutralizing monoclonal antibody (NmAb) treatments have received Emergency Use Authorization to treat patients with mild or moderate COVID-19 infection. To date, no real- world data on the efficacy of NmAbs have been reported from clinical practice. We assessed the impact of NmAb treatment given in the outpatient clinical practice setting on hospital utilization. METHODS: Electronic medical records were used to identify adult COVID-19 patients who received NmAbs (bamlanivimab [BAM] or casirivimab and imdevimab [REGN-COV2]) and historic COVID-19 controls. Post-index hospitalization rates were compared. RESULTS: 707 confirmed COVID-19 patients received NmAbs and 1709 historic COVID-19 controls were included; 553 (78%) received BAM, 154 (22%) received REGN-COV2. Patients receiving NmAb infusion had significantly lower hospitalization rates (5.8% vs 11.4%, P < .0001), shorter length of stay if hospitalized (mean, 5.2 vs 7.4 days; P = .02), and fewer ED visits within 30 days post-index (8.1% vs 12.3%, P = .003) than controls. Hospitalization-free survival was significantly longer in NmAb patients compared with controls (P < .0001). There was a trend towards a lower hospitalization rate among patients who received NmAbs within 2-4 days after symptom onset. In multivariate analysis, having received an NmAb transfusion was independently associated with a lower risk of hospitalization after adjustment for age, sex, race, BMI, and referral source (adjusted HR [95% CI], .54 [0.38-0.79]; P = .0012). Overall mortality was not different between the 2 groups. CONCLUSIONS: NmAb treatment reduced hospital utilization, especially when received within a few days of symptom onset. Further study is needed to validate these findings.

Adaptability, Agency, and Association to Influence Change: The Report of the 2020-21 AACP Argus Commission

EXECUTIVE SUMMARY The 2020-21 AACP Argus Commission was charged to 1) review the 2019-2020 standing committee reports;2) describe the impact of COVID-19 on healthcare delivery with an emphasis on health equity and social justice, 3) identify strategies to work with other health professions associations to advance interprofessional education and practice, and 4) offer recommendations for activities for the Center to Accelerate Pharmacy Practice Transformation and Academic Innovation (CAPT). (Source: 2018-19 Academic Affairs Committee) * Students, faculty, and practitioner educators should work to achieve cultural competence and to deliver culturally competent care as part of their efforts to eliminate disparities and inequalities that exist in the health care delivery system. (Source: Argus Commission 2017-18.) * As educators, researchers, and healthcare professionals, members of the AACP are committed to the principles of diversity, equity, inclusion, accessibility, justice, and anti-racism and will seek opportunities to eradicate structural and systemic racism to address social determinants of health, diminish health disparities, and promote racial equity. The growing expectation on the part of payers to purchase outcomes instead of services is influencing the entire spectrum of healthcare in the U.S. This is fueling the vertical integration of healthcare both locally (merging of hospitals and outpatient care organizations and the creation of accountable care organizations) and nationally (merging of health insurers, pharmacy benefit managers, community pharmacy chains and specialty pharmacies to create closed drug distribution channels).