The Perfect Storm: COVID-19 Health Disparities in US Blacks.

Coronavirus disease 2019 (COVID-19) accounts for over 180,000 deaths in the USA. Although COVID-19 affects all racial ethnicities, non-Hispanic Blacks have the highest mortality rates. Evidence continues to emerge, linking the disproportion of contagion and mortality from severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), a result of adverse social determinants of health. Yet, genetic predisposition may also play a credible role in disease transmission. SARS-CoV-2 enters cells by interaction between SARS-CoV-2 spike protein and the receptor molecule angiotensin converting enzyme 2 (ACE2) expressed on the surface of the target cells, such that polymorphisms and the expression level of ACE2 influence infectivity and consequent pathogenesis of SARS-CoV-2. Genetic polymorphisms in other multiple genes, such as acetylcholinesterase (AChE) and interleukin-6, are also closely associated with underlying diseases, such as hypertension and type 2 diabetes mellitus, which substantially raise SARS-CoV-2 mortality. However, it is unknown how these genetic polymorphisms contribute to the disparate mortality rates, with or without underlying diseases. Of particular interest is the potential that genetic polymorphisms in these genes may be influencing the disparity of COVID-19 mortality rates in Black communities. Here, we review the evidence that biological predisposition for high-risk comorbid conditions may be relevant to our ability to fully understand and therefore address health disparities of COVID-19 deaths in Blacks.

Depression, anxiety and stress among Australian nursing and midwifery undergraduate students during the COVID-19 pandemic: a cross-sectional study.

OBJECTIVES: To assess depression, anxiety and stress among undergraduate nursing and midwifery students during the COVID-19 pandemic, and identify socio-demographic and educational characteristics associated with higher depression, anxiety and stress scores. METHODS: Cross-sectional study during August-September 2020, using an anonymous, online, self-administered survey. E-mail invitations with a survey link were sent to 2,907 students enrolled in the Bachelor of Nursing suite of courses, offered across four campuses of a single university in Victoria, Australia. Depression, anxiety and stress were assessed using the DASS-21. Data on socio-demographic and educational characteristics, self-rated physical health and exposure to COVID-19 were also collected. DASS-21 subscale scores were compared with existing data for various pre-pandemic and COVID-19 samples. Multiple regression was used to investigate factors associated with higher scores on depression, anxiety and stress subscales. RESULTS: The response rate was 22% (n=638). Mean scores on all DASS-21 subscales were significantly higher (p<0.001) than means from all comparative sample data. The proportions of students reporting moderate to severe symptoms of depression, anxiety and stress were 48.5%, 37.2% and 40.2% respectively. Being a woman, being younger, having completed more years of study and having poorer self-rated general health were all significantly associated (p<0.05) with higher scores on at least one DASS-21 subscale. CONCLUSIONS: Almost half of participants reported at least moderate symptoms of depression; more than a third reported at least moderate symptoms of anxiety or stress. Poor psychological wellbeing can impact students' successful completion of their studies and therefore, has implications for nursing and midwifery workforce recruitment and retention. During and after pandemics, universities should consider screening undergraduate students not only for anxiety and stress, but also for depression. Clear, low-cost referral pathways should be available, should screening indicate that further diagnosis or treatment is required.

Short research paper: Personal protective equipment for the care of suspected and confirmed COVID-19 patients - Modelling requirements and burn rate.

BACKGROUND: The COVID-19 pandemic has caused unprecedented global demand for personal protective equipment (PPE). A paucity of data on PPE burn rate (PPE consumption over time) in pandemic situations exacerbated these issues as there was little historic research to indicate volumes of PPE required to care for surges in infective patients and thus plan procurement requirements. METHODS: To better understand PPE requirements for care of suspected or confirmed COVID-19 patients in our Australian quaternary referral hospital, the number of staff-to-patient interactions in a 24-h period for three patient groups (ward-based COVID suspect, ward-based COVID confirmed, intensive care COVID confirmed) was audited prospectively from 1st to 30th April 2020. RESULTS: The average number of staff-to-patient interactions in a 24-h period was: 13.1 ± 5.0 (mean ± SD) for stable ward-managed COVID-19 suspect patients; 11.9 ± 3.8 for stable ward-managed confirmed COVID-19 patients; and 30.0 ± 5.3 for stable, mechanically ventilated, ICU-managed COVID-19 patients. This data can be used in PPE demand simulation modelling for COVID-19 and potentially other respiratory illnesses. CONCLUSION: Data on the average number of staff-to-patient interactions needed for the care of COVID-19 patients is presented. This data can be used for PPE demand simulation modelling.

The Perfect Storm: COVID-19 Health Disparities in US Blacks

Coronavirus disease 2019 (COVID-19) accounts for over 180,000 deaths in the USA. Although COVID-19 affects all racial ethnicities, non-Hispanic Blacks have the highest mortality rates. Evidence continues to emerge, linking the disproportion of contagion and mortality from severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), a result of adverse social determinants of health. Yet, genetic predisposition may also play a credible role in disease transmission. SARS-CoV-2 enters cells by interaction between SARS-CoV-2 spike protein and the receptor molecule angiotensin converting enzyme 2 (ACE2) expressed on the surface of the target cells, such that polymorphisms and the expression level of ACE2 influence infectivity and consequent pathogenesis of SARS-CoV-2. Genetic polymorphisms in other multiple genes, such as acetylcholinesterase (AChE) and interleukin-6, are also closely associated with underlying diseases, such as hypertension and type 2 diabetes mellitus, which substantially raise SARS-CoV-2 mortality. However, it is unknown how these genetic polymorphisms contribute to the disparate mortality rates, with or without underlying diseases. Of particular interest is the potential that genetic polymorphisms in these genes may be influencing the disparity of COVID-19 mortality rates in Black communities. Here, we review the evidence that biological predisposition for high-risk comorbid conditions may be relevant to our ability to fully understand and therefore address health disparities of COVID-19 deaths in Blacks.