Genetic Liability to Cannabis Use Disorder and COVID-19 Hospitalization.

BACKGROUND: Vulnerability to COVID-19 hospitalization has been linked to behavioral risk factors, including combustible psychoactive substance use (e.g., tobacco smoking). Paralleling the COVID-19 pandemic crisis have been increasingly permissive laws for recreational cannabis use. Cannabis use disorder (CUD) is a psychiatric disorder that is heritable and genetically correlated with respiratory disease, independent of tobacco smoking. We examined the genetic relationship between CUD and COVID-19 hospitalization. METHODS: We estimated the genetic correlation between CUD (case: n = 14,080; control: n = 343,726) and COVID-19 hospitalization (case: n = 9373; control: n = 1,197,256) using summary statistics from genome-wide association studies. Using independent genome-wide association studies conducted before the pandemic, we controlled for several covariates (i.e., tobacco use phenotypes, problematic alcohol use, body mass index, fasting glucose, forced expiratory volume, education attainment, risk taking, attention-deficit/hyperactivity disorder, Townsend deprivation index, chronic obstructive pulmonary disease, hypertension, and type 2 diabetes) using genomic structural equation modeling. Genetic causality between CUD and COVID-19 hospitalization was estimated using latent causal variable models. RESULTS: Genetic vulnerability to COVID-19 was correlated with genetic liability to CUD (r G  = 0.423 [SE = 0.0965], p = 1.33 × 10-6); this association remained when accounting for genetic liability to related risk factors and covariates (b = 0.381-0.539, p = .012-.049). Latent causal variable analysis revealed causal effect estimates that were not statistically significant. CONCLUSIONS: Problematic cannabis use and vulnerability to serious COVID-19 complications share genetic underpinnings that are unique from common correlates. While CUD may plausibly contribute to severe COVID-19 presentations, causal inference models yielded no evidence of putative causation. Curbing excessive cannabis use may mitigate the impact of COVID-19.

Cub Ward: The Real Not Real Ward – a student nurse led simulation ward

Higher demand for placements, due to Covid-19 training delays and increased student numbers resulted in placement demand exceeding opportunities. Therefore, a student simulated ward (Cub Ward) was created. A disused ward was transformed into a functioning ward with high and medium fidelity mannequins as patients. The ward was completely led by student nurses. A part 3 student was Nurse-in-Charge while remaining students took on the role of Staff Nurses, and part 1 students remained as "student nurses”. Learning outcomes were:•Develop an understanding of how clinical areas function•Discuss prioritisation in clinical care•Understand patient management throughout a shift•Explore management of workload and resources•Analyse effective communication with MDT A real-time simulated shift included medication administration, patient cares, admissions, discharges, recognition and escalation of deteriorating children. Students also had to manage parents, ward visitors and various ward rounds. Pre and post confidence scales showed improvement for all student groups. Some unintended benefits included involvement of the MDT in the student experience. Peer support and teaching was evident throughout the day, as was resolution for issues encountered for example identifying poor allocation and reallocating accordingly.

Multi-disciplinary community respiratory team management of patients with chronic respiratory illness during the COVID-19 pandemic.

The Greater Glasgow & Clyde NHS Trust Community Respiratory Response Team was established to manage patients with chronic respiratory disease at home during the COVID-19 pandemic. The team aimed to avert hospital admission while maximally utilising remote consultations. This observational study analysed outcomes of the triage pathway used, use of remote consultations, hospital admissions and mortality among patients managed by the team. Patients' electronic health records were retrospectively reviewed. Rates of emergency department attendance, hospital admission and death within 28 days of referral were compared across triage pathways. Segmented linear regression was carried out for emergency admissions in Greater Glasgow and Clyde pre- and post- Community Respiratory Response Team implementation, using emergency admissions for chronic obstructive pulmonary disease in the rest of Scotland as control and adjusting for all-cause emergency admissions. The triage category correlated with hospital admission and death. The red pathway had the highest proportion attending the emergency department (21%), significantly higher than the amber and green pathways (p = 0.03 and p = 0.004, respectively). The highest number of deaths were in the blue "end-of-life" pathway (p < 0.001). 87% of interactions were undertaken remotely. Triage severity appropriately led to targeted home visits. No nosocomial COVID-19 infections occurred among patients or staff. The Community Respiratory Response Team was associated with a significant decrease in emergency admissions (RR = 0.96 for each additional month under the Poisson model) compared to the counterfactual if the service had not been in place, suggesting a benefit in reducing secondary care pressures. The Community Respiratory Response Team effectively managed patients with chronic respiratory disease in the community, with an associated reduction in secondary care pressures during the COVID-19 pandemic.

Annual Review of U.K. Marine Scientific Industry 2021

The Society of Maritime Industries conducts an annual survey to gain insight into the U.K. Marine Science and Technology (MST) industry and to gather intelligence regarding future trends. The data were collected via a questionnaire to senior managers of U.K. businesses in the MST sector during the trade show Ocean Business, at the National Oceanography Centre in Southampton, United Kingdom, in October 2021. The results show that COVID and Brexit were cited as having the biggest impact on business over the past 12 months, which was to be expected. Despite this, the majority of companies increased turnover and headcount over the last 12 months, which is a positive sign of growth in the industry. Generally, there were high levels of positivity in the industry and for its growth for the next 12 months, with 91% of companies predicting growth.

A cross-sectional analysis of factors associated with stress, burnout and turnover intention among healthcare workers during the COVID-19 pandemic in the United States.

In 2020, healthcare workers faced the COVID-19 pandemic amidst other salient sociopolitical stressors. This study, therefore, set out to examine associations between personal, work-related and contextual factors and three outcomes - stress, burnout and turnover intention - at a critical juncture in the pandemic. In December 2020, we recruited a broad array of healthcare workers (n = 985) in a public safety net healthcare system serving socially and economically marginalised communities in the Southwest region of the United States using a cross-sectional online survey. The results indicated that more health problems were associated with higher stress and burnout symptoms. While seeking emotional support and using drugs or alcohol to cope were associated with higher stress, a positive social outlook was associated with lower stress. Lower quality of work-life was associated with higher burnout symptoms and turnover intention. Negative effects of the pandemic on wellbeing and higher number of COVID-19-related concerns were associated with higher stress and burnout symptoms. Contrary to the original hypotheses, self-care was not associated with any of the three outcomes, and effects of the political climate and issues of racism on wellbeing were not associated with stress, burnout or turnover intention. However, identifying as a Person of Colour was associated with higher stress, as well as lower burnout. The findings on worker health, social outlook, quality of work-life and race/ethnicity, in particular, suggest a critical need for healthcare systems to address the wellbeing of workers through equitable organisational policy and practice.

Qualification of ELISA and neutralization methodologies to measure SARS-CoV-2 humoral immunity using human clinical samples.

In response to the SARS-CoV-2 pandemic many vaccines have been developed and evaluated in human clinical trials. The humoral immune response magnitude, composition and efficacy of neutralizing SARS-CoV-2 are essential endpoints for these trials. Robust assays that are reproducibly precise, linear, and specific for SARS-CoV-2 antigens would be beneficial for the vaccine pipeline. In this work we describe the methodologies and clinical qualification of three SARS-CoV-2 endpoint assays. We developed and qualified Endpoint titer ELISAs for total IgG, IgG1, IgG3, IgG4, IgM and IgA to evaluate the magnitude of specific responses to the trimeric spike (S) antigen and total IgG specific to the spike receptor binding domain (RBD) of SARS-CoV-2. We also qualified a pseudovirus neutralization assay which evaluates functional antibody titers capable of inhibiting the entry and replication of a lentivirus containing the Spike antigen of SARS-CoV-2. To complete the suite of assays we qualified a plaque reduction neutralization test (PRNT) methodology using the 2019-nCoV/USA-WA1/2020 isolate of SARS-CoV-2 to assess neutralizing titers of antibodies in plasma from normal healthy donors and convalescent COVID-19 individuals.