Global perspective of COVID-19 epidemiology for a full-cycle pandemic

The impact of the COVID-19 pandemic on non-COVID-associated mortality: A descriptive longitudinal study of UK data

Background

It has been previously reported in the literature that the COVID-19 pandemic resulted in overall excess deaths and an increase in non-COVID deaths during the pandemic period.Specifically, our research elucidates the impact of the COVID-19 pandemic on non-COVID associated mortality.

Study aim

To compare mortality rates in non-COVID conditions before and after the onset of the COVID-19 pandemic in England and Wales.

Study design

Annual mortality data for the years 2011-2019 (pre-pandemic) and 2020 (pandemic) in England and Wales were retrieved from the Office for National Statistics (ONS). These data were filtered by ICD-10 codes for nine conditions with high associated mortality. We calculated mortality numbers - overall and age stratified (20-64 and 65+ years) and rates per 100 000, using annual mid-year population estimates.

Methods

Interrupted time series analyses were conducted using segmented quasi-Poisson regression to identify whether there was a statistically significant change (p < 0.05) in condition-specific death rates following the pandemic onset.

Results

Eight of the nine conditions investigated in this study had significant changes in mortality rate during the pandemic period (2020). All-age mortality rate was significantly increased in: 'Symptoms Signs and Ill-defined conditions', 'Cirrhosis and Other Diseases of the Liver', and 'Malignant Neoplasm of the Breast', whereas 'Chronic Lower Respiratory Disorders' saw a significant decrease. Age-stratified analyses also revealed significant increases in the 20-64 age-group in: 'Cerebrovascular Disorders', 'Dementia and Alzheimer's Disease', and 'Ischaemic Heart Diseases'.

Conclusion

Trends in non-COVID condition-specific mortality rates from 2011 to 2020 revealed that some non-COVID conditions were disproportionately affected during the pandemic. This may be due to the direct impact COVID-19 had on these conditions or the effect the public health response had on non-COVID risk factor development and condition-related management. Further work is required to understand the reasons behind these disproportionate changes.

Schematising COVID-19 pandemic responses: An ideal typical analysis

This article utilises ideal typical models, or sociological heuristics, when analysing COVID-19 pandemic responses in an international context. Axes of differentiation include Authoritarian-Libertarian and Left-Right tendencies, encapsulating four generic worldviews that potentially patterned societal responses to the novel coronavirus: (1) hierarchical, (2) dismissive or fatalistic, (3) individualistic, and (4) egalitarian. Taking the 'shock period' (circa 2020-2021) as the primary window of analysis, the article schematises contrasting orientations that have since left their mark in a context of COVID-19 endemicity. In conclusion, a case is made for an explicitly egalitarian and anti-authoritarian stance amidst countervailing, even fascistic, tendencies. The possibility of another politics of life is underscored given the spectre of ongoing crises in a global context.

Knowledge, attitude, and practice toward the prevention of occupational exposure in public health emergencies among nurses in Wuhan

Background and objective

Nurses have an essential role in dealing with public health emergencies (PHE). This study explored the knowledge, attitude, and practice (KAP) towards preventing occupational exposure in PHE among nurses in Wuhan.

Methods

This cross-sectional study was conducted in May 2023 to assess the KAP of nurses in Wuhan, China. Questionnaires were created and distributed to evaluate the KAP of nurses and explore the factors associated with KAP. Univariate and multivariate logistic regression analyses were used to assess the association between baseline demographic characteristics and KAP, and structural equation modeling (SEM) was used to explore complex relationships and causal pathways among relevant factors.

Results

A total of 440 valid questionnaires were collected. The mean knowledge, attitude, and practice scores were 11.84 ± 2.37, 39.87 ± 3.10, and 44.05 ± 3.76, respectively. The univariate and multivariate logistic regression analyses revealed that age >50 years old (p = 0.039), working experience of 1-3 years (p = 0.060) and 4-6 years (p = 0.024), participation in PHE training, and scene rescue (p < 0.001) were significantly associated with knowledge score. In addition, the attitude of the nurses was significantly related to knowledge scores (p = 0.002). Moreover, practice was significantly associated with knowledge scores (p = 0.005) and attitude scores (p < 0.001). The correlation analysis showed that the practice was significantly associated with knowledge (r = 0.336, p < 0.001) and attitude (r = 0.449, p < 0.001).

Conclusion

Nurses exhibited moderate knowledge, relatively positive attitude, and practice, which needed to be improved regarding occupational exposure in PHE. The practice of the nurses could be promoted by paying more attention to the working experience, participation in training and scene rescue in PHE, and their knowledge and attitude.

The Functional Roles of MDSCs in Severe COVID-19 Pathogenesis

Severe COVID-19 is a major cause of morbidity and mortality worldwide, especially among those with co-morbidities, the elderly, and the immunocompromised. However, the molecular determinants critical for severe COVID-19 progression remain to be fully elucidated. Meta-analyses of transcriptomic RNAseq and single-cell sequencing datasets comparing severe and mild COVID-19 patients have demonstrated that the early expansion of myeloid-derived suppressor cells (MDSCs) could be a key feature of severe COVID-19 progression. Besides serving as potential early prognostic biomarkers for severe COVID-19 progression, several studies have also indicated the functional roles of MDSCs in severe COVID-19 pathogenesis and possibly even long COVID. Given the potential links between MDSCs and severe COVID-19, we examine the existing literature summarizing the characteristics of MDSCs, provide evidence of MDSCs in facilitating severe COVID-19 pathogenesis, and discuss the potential therapeutic avenues that can be explored to reduce the risk and burden of severe COVID-19. We also provide a web app where users can visualize the temporal changes in specific genes or MDSC-related gene sets during severe COVID-19 progression and disease resolution, based on our previous study.

Prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and feline enteric coronavirus (FECV) in shelter-housed cats in the Central Valley of California, USA

Background

Non-human animals are natural hosts for the virus causing COVID-19 (severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2]) and a diversity of species appear susceptible to infection. Cats are of particular concern because of their close affiliation with humans and susceptibility to infection. Cats also harbour feline enteric coronavirus (FECV). Our objectives were to document the prevalence of SARS-CoV-2 and FECV in feline populations with high turnover and movement among households in the Central Valley of California, USA.

Methods

A cross-sectional study of 128 shelter and foster cats and kittens in the Central Valley of California was performed from July to December 2020. PCR was performed on rectal and oropharyngeal samples to detect SARS-CoV-2 RNA and on rectal samples to detect FECV RNA.

Results

Among 163 rectal and oropharyngeal fluid samples gathered from sheltered and fostered cats and kittens in central California, SARS-CoV-2 nucleic acids were not detected from any cat or kitten. In contrast, FECV nucleic acids were detected in 18% of shelter-housed cats; 83% of these positive samples were collected from cats housed in adjacent cages.

Conclusions

These data may be helpful when considering the allocation of resources to minimise the harm of FECV and SARS-CoV-2 in household pets and shelter environments.

Graphene-based biosensors for detecting coronavirus: a brief review

The coronavirus (SARS-CoV-2) disease has affected the globe with 770 437 327 confirmed cases, including about 6 956 900 deaths, according to the World Health Organization (WHO) as of September 2023. Hence, it is imperative to develop diagnostic technologies, such as a rapid cost-effective SARS-CoV-2 detection method. A typical biosensor enables biomolecule detection with an appropriate transducer by generating a measurable signal from the sample. Graphene can be employed as a component for ultrasensitive and selective biosensors based on its physical, optical, and electrochemical properties. Herein, we briefly review graphene-based electrochemical, field-effect transistor (FET), and surface plasmon biosensors for detecting the SARS-CoV-2 target. In addition, details on the surface modification, immobilization, sensitivity and limit of detection (LOD) of all three sensors with regard to SARS-CoV-2 were reported. Finally, the point-of-care (POC) detection of SARS-CoV-2 using a portable smartphone and a wearable watch is a current topic of interest.

The 1889-90 flu pandemic in Greece: a social, cultural and economic history with lessons for the 21st century

The 1889-1892 influenza pandemic is the first flu outbreak that can be demonstrated to have been truly worldwide in scope. Its initial spread, along with the successive waves, coincided with an uneasy period of economic and political instability in Greece. Greek historians have largely ignored this outbreak in a national setting and have exclusively focused on the economic crisis and social unrest of that era. As in other countries, it seems that in Greece, too, the case fatality ratio was low, but morbidity and public health issues gained importance. Culturally, it triggered the creation of a new terminology around disease and proved an inspiration for satirical magazines. The economic distress of large parts of the population contributed to the design of health measures of only limited impact, with the press being the main source for dissemination of new health information. Despite being separated by 130 years, the 1889 influenza pandemic and the COVID-19 pandemic share some striking similarities. They both spread across transport lines and were followed by spotty and multifocal subsequent waves, disproportionately affected the poorest and most vulnerable, and led to neologisms, strong public health debates, and shifts in employment habits and measures. As we move forward into the 21st century, it is essential that we are able to reflect on such shared trends over decades, which are true because of common and interactive co-determinants of infectious disease outbreak emergence and spread and our responses to them.

COVID-19 vaccination requirements for Ireland's healthcare students

International debate on COVID-19 policy issues, notably negative social consequences, is vital when grappling with the pandemic legacy. Drawing from the second author's experiences in the Irish healthcare and higher education sectors, this commentary scrutinises measures that discriminated against students who declined novel COVID-19 pharmaceuticals. In so doing, it serves as a point of contrast to fear-based interventions. Connections are made with relevant literature when urging those in authority to ensure that policies intended to maximise vaccine coverage are seen to be fair and convincing. The commentary concludes with some reflections that could underpin more defensible policymaking and inform future research.

A deep learning model for predicting COVID-19 ARDS in critically ill patients

Background

The coronavirus disease 2019 (COVID-19) is an acute infectious pneumonia caused by a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection previously unknown to humans. However, predictive studies of acute respiratory distress syndrome (ARDS) in patients with COVID-19 are limited. In this study, we attempted to establish predictive models to predict ARDS caused by COVID-19 via a thorough analysis of patients' clinical data and CT images.

Method

The data of included patients were retrospectively collected from the intensive care unit in our hospital from April 2022 to June 2022. The primary outcome was the development of ARDS after ICU admission. We first established two individual predictive models based on extreme gradient boosting (XGBoost) and convolutional neural network (CNN), respectively; then, an integrated model was developed by combining the two individual models. The performance of all the predictive models was evaluated using the area under receiver operating characteristic curve (AUC), confusion matrix, and calibration plot.

Results

A total of 103 critically ill COVID-19 patients were included in this research, of which 23 patients (22.3%) developed ARDS after admission; five predictive variables were selected and further used to establish the machine learning models, and the XGBoost model yielded the most accurate predictions with the highest AUC (0.94, 95% CI: 0.91-0.96). The AUC of the CT-based convolutional neural network predictive model and the integrated model was 0.96 (95% CI: 0.93-0.98) and 0.97 (95% CI: 0.95-0.99), respectively.

Conclusion

An integrated deep learning model could be used to predict COVID-19 ARDS in critically ill patients.

Improving Hepatitis B Screening at Family Health Centers Using Quality Improvement and Electronic Medical Record Tools

Chronic hepatitis B viral (HBV) infection is associated with significant morbidity and mortality with endemic areas carrying most of the global burden of HBV disease. Current HBV screening rates in the United States are suboptimal. We aimed to improve HBV screening rates at regional family health centers serving high-risk refugee populations by 20% over 2 years. We used quality improvement (QI) methodology and implemented interventions providing electronic medical record (EMR)-enabled HBV screening tools within known clinical workflows. EMR tools captured country-of-origin data to identify persons from HBV-endemic regions with provision of a laboratory order set to ensure performance of appropriate HBV screening tests. The project was initiated prior to the COVID pandemic but continued during the pandemic with imposed social isolation measures. We nevertheless demonstrated 4 statistical process control chart shifts and achieved our QI smart aim. Further, we demonstrated a high HBV detection rate (8.2%-12.8%) among persons identified for screening.

Public Health Challenges in Saudi Arabia during the COVID-19 Pandemic: A Literature Review

Similar to most countries, Saudi Arabia faced several challenges during the novel coronavirus disease 2019 (COVID-19) pandemic, some of which were related to the religious position of the country. The main challenges included deficits in knowledge, attitudes, and practices toward COVID-19, the negative psychological impacts of the pandemic on the general population and healthcare workers, vaccine hesitancy, the management of religious mass gatherings (e.g., Hajj and Umrah), and the imposition of travel regulations. In this article, we discuss these challenges based on evidence from studies involving Saudi Arabian populations. We outline the measures through which the Saudi authorities managed to minimize the negative impacts of these challenges in the context of international health regulations and recommendations.

Major adverse cardiovascular events are associated with necroptosis during severe COVID-19

BACKGROUND

The mechanisms used by SARS-CoV-2 to induce major adverse cardiac events (MACE) are unknown. Thus, we aimed to determine if SARS-CoV-2 can induce necrotic cell death to promote MACE in patients with severe COVID-19.

METHODS

This observational prospective cohort study includes experiments with hamsters and human samples from patients with severe COVID-19. Cytokines and serum biomarkers were analysed in human serum. Cardiac transcriptome analyses were performed in hamsters' hearts.

RESULTS

From a cohort of 70 patients, MACE was documented in 26% (18/70). Those who developed MACE had higher Log copies/mL of SARS-CoV-2, troponin-I, and pro-BNP in serum. Also, the elevation of IP-10 and a major decrease in levels of IL-17ɑ, IL-6, and IL-1rɑ were observed. No differences were found in the ability of serum antibodies to neutralise viral spike proteins in pseudoviruses from variants of concern. In hamster models, we found a stark increase in viral titters in the hearts 4 days post-infection. The cardiac transcriptome evaluation resulted in the differential expression of ~ 9% of the total transcripts. Analysis of transcriptional changes in the effectors of necroptosis (mixed lineage kinase domain-like, MLKL) and pyroptosis (gasdermin D) showed necroptosis, but not pyroptosis, to be elevated. An active form of MLKL (phosphorylated MLKL, pMLKL) was elevated in hamster hearts and, most importantly, in the serum of MACE patients.

CONCLUSION

SARS-CoV-2 identification in the systemic circulation is associated with MACE and necroptosis activity. The increased pMLKL and Troponin-I indicated the occurrence of necroptosis in the heart and suggested necroptosis effectors could serve as biomarkers and/or therapeutic targets. Trial registration Not applicable.

Impact of the COVID-19 on the surgical management of bone and soft tissue sarcoma: A systematic review

Background

The COVID-19 pandemic had greatly and negatively impacted health services including the management of bone and soft tissue sarcoma. As disease progression is time-sensitive, decision taken by the oncology orthopedic surgeon on performing surgical treatment determines the patient outcome. On the other hand, as the world tried to control the spread of COVID-19 infection, treatment re-prioritization based on urgency level had to be done which consequently affect treatment provision for sarcoma patients. Patient and clinician's concern regarding the outbreak have also inflicted on treatment decision making. A systematic review was thought to be necessary to summarize the changes seen in managing primary malignant bone and soft tissue tumors.

Methods

We performed this systematic review in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 Statement. The review protocol had been registered on PROSPERO with submission number CRD42022329430. We included studies which reported primary malignant tumor diagnosis and its surgical intervention from March 11th, 2020 onwards. The main outcome is to report changes implemented by different centers around the world in managing primary malignant bone tumors surgically in response to the pandemic. Three electronic medical databases were scoured and by applying eligibility criteria. Individual authors evaluated the articles' quality and risk of bias using the Newcastle-Ottawa Quality Assessment Scale other instruments developed by JBI of the University of Adelaide. The overall quality assessment of this systematic review was self-evaluated using the AMSTAR (Assessing the Methodological Quality of Systematic Reviews) Checklist.

Results

There were 26 studies included in the review with various study designs, conveyed in almost all continents. The outcomes from this review are change in surgery time, change in surgery type, and change in surgery indication in patients with primary bone and soft tissue sarcoma. Surgery timing has been experiencing delay since the pandemic occurred, including delay in the multidisciplinary forum, which were all related to lockdown regulations and travel restrictions. For surgery type, limb amputation was preferred compared to limb-salvage procedures due to shorter duration and simpler reconstruction with better control of malignancy. Meanwhile, the indications for surgical management are still based on the patient's demographics and disease stages. However, some would stall surgery regardless of malignancy infiltration and fracture risks which are indication for amputation. As expected, our meta-analysis showed higher post-surgical mortality in patients with malignant bone and soft tissue sarcoma during the COVID-19 pandemic with odds ratio of 1.14.

Conclusion

Surgical management of patients with primary bone and soft tissue sarcoma has seriously been affected due to adjustments to the COVID-19 pandemic. Other than institutional restrictions to contain the infection, patient and clinician's decisions to postpone treatment due to COVID-19 transmission concern were also impactful in treatment course. Delay in surgery timing has caused higher risk of worse surgical outcome during the pandemic, which is aggravated if the patient is infected by COVID-19 as well. As we transition into a post-COVID-19 pandemic period, we expect patients to be more lenient in returning for their treatment but by then disease progression might have taken place, resulting in worse overall prognosis. Limitation to this study were few assumptions made in the synthesis of numerical data and meta-analysis only for changes in surgery time outcome and lack of intervention studies included.

Anti-SARS-CoV-2 vaccine-induced myocarditis - real but, in general, rare and mild: A consensus statement from the Studies Committee of the Portuguese Society of Cardiology

Acute myocarditis (especially) and pericarditis have been consistently associated with the administration of vaccines against SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), generating anxiety in the general population, uncertainty in the scientific community and obstacles to ambitious mass vaccination programs, especially in foreign countries. Like some of its European counterparts, the Portuguese Society of Cardiology (SPC), through its Studies Committee, decided to take a position on some of the most pressing questions related to this issue: (i) How certain are we of this epidemiological association? (ii) What is the probability of its occurrence? (iii) What are the pathophysiological bases of these inflammatory syndromes? (iv) Should their diagnosis, treatment and prognosis follow the same steps as for typical idiopathic or post-viral acute myopericarditis cases? (v) Is the risk of post-vaccine myocarditis great enough to overshadow the occurrence of serious COVID-19 disease in unvaccinated individuals? In addition, the SPC will issue clinical recommendations and offer its outlook on the various paths this emerging disease may take in the future.

Nursing Students' Perception about Gender Inequalities Presented on Social Networks: A Qualitative Study

During the COVID-19 pandemic, gender inequalities in nurses have been exacerbated through the images shown on social networks. This study aimed to explore and describe nursing students' experiences and perceptions about gender inequalities in nurses during the COVID-19 pandemic. A descriptive qualitative study was carried out in two universities in 264 undergraduate nursing students. The photovoice method was used to guide the study. Results: Two main categories and four subcategories were described from the data: "gender-related stereotypes", with "male leadership in a female profession" and "sexualization of female nurses" and "women's vulnerability in the pandemic" with "the gender gap in the face of increased risk of contagion " and "women's emotional fragility". Over the years, care has been considered a female task, and nursing continues to be thought of in this way. The nurse has been discriminated against, poorly considered as a professional, and, as a woman, subjected to gender roles.

The Practice of Post-vaccination COVID-19 Prevention Strategy Among Healthcare Professionals in Felege Hiwot Referral Hospital, Northwest Ethiopia

BACKGROUND

Coronavirus Disease 2019 (COVID-19) is an acute respiratory illness first discovered and identified in China. Countries are taking precautions to prevent COVID-19 in accordance with WHO guidelines.

OBJECTIVE

The objective of this study was to assess the practice of the COVID-19 prevention strategy post-vaccination and associated factors among health care professionals in Felege Hiwot Referral Hospital, Bahir Dar, Northwest Ethiopia, in 2021.

METHODS

An institutional-based cross-sectional study was carried out at Felege Hiwot Referral Hospital, Bahir Dar. Data were entered into Epi-Info software, version 7.1, and exported to SPSS, version 23, for analysis. Descriptive statistics were used to describe the socio-demographic characteristics of the respondents. The crude odds ratio (COR) and the adjusted odds ratio (AOR) with 95% CI were calculated to determine the coefficient of the COVID-19 prevention strategy.

RESULTS

In this study, 68.7% (95% CI: 63.7, 73.8) of health care professionals had good practice of the COVID-19 prevention strategy post-vaccination. Sex (AOR: 1.76; 95% CI: 1.08, 2.89), marital status (AOR: 1.75; 95% CI: 1.09, 2.93), and good attitude toward vaccination (AOR: 3.24; 95% CI: 2.13, 5.48) were significantly associated with the practice of COVID-19 prevention strategies post vaccination.

CONCLUSIONS

The practices of COVID-19 preventive strategies post-vaccination were good among healthcare professionals. Good attitude toward vaccination, sex (male), marital status (married) were factors determining the occurrences of COVID-19 preventive strategies post-vaccination.

Remdesivir-related cost-effectiveness and cost and resource use evidence in COVID-19: a systematic review

Background

The coronavirus disease 2019 (COVID-19) pandemic has been a global health emergency since December 2019, leading to millions of deaths worldwide and placing significant pressures, including economic burden, on individual patients and healthcare systems. As of February 2022, remdesivir is the only US Food and Drug Administration (FDA)-approved treatment for severe COVID-19. This systematic literature review (SLR) aimed to summarise economic evaluations, and cost and resource use (CRU) evidence related to remdesivir during the COVID-19 pandemic.

Methods

Searches of MEDLINE, Embase the International Health Technology Assessment (HTA) database, reference lists, congresses and grey literature were performed in May 2021. Articles were reviewed for relevance against pre-specified criteria by two independent reviewers and study quality was assessed using published checklists.

Results

Eight studies reported resource use and five reported costs related to remdesivir. Over time, the prescription rate of remdesivir increased and time from disease onset to remdesivir initiation decreased. Remdesivir was associated with a 6% to 21.3% decrease in bed occupancy. Cost estimates for remdesivir ranged widely, from $10 to $780 for a 10-day course. In three out of four included economic evaluations, remdesivir treatment scenarios were cost-effective, ranging from ~ 8 to ~ 23% of the willingness-to-pay threshold for the respective country.

Conclusions

Economic evidence relating to remdesivir should be interpreted with consideration of the broader clinical context, including patients’ characteristics and the timing of its administration. Nonetheless, remdesivir remains an important option for physicians in aiming to provide optimal care and relieve pressure on healthcare systems through shifting phases of the pandemic.

Supplementary Information

The online version contains supplementary material available at 10.1007/s15010-022-01930-8.

Is Covid-19 a dread risk? The death toll of the pandemic year 2020 in long-term and transnational perspective

"Dread risks" are threats that can have catastrophic consequences. To analyse this issue we use excess mortality and corresponding life years lost as simple measures of the severity of pandemic events. As such, they are more robust than figures from models and testing procedures that usually inform public responses. We analyse data from OECD countries that are already fully available for the whole of 2020. To assess the severity of the pandemic, we compare with historical demographic events since 1880. Results show that reports of high excess mortality during peak periods and local outbreaks should not be taken as representative. Six countries saw a somewhat more increased percentage of life years lost (over 7%), nine countries show mild figures (0-7%), while seven countries had life year gains of up to 7%. So, by historical standards, Covid-19 is worse than regular flu, but a far cry from the Spanish Flu, which has become the predominant frame of reference for the current pandemic. Even though the demographic impact is modest, psychological aspects of the pandemic can still lead to transformative futures, as the reactions of East Asian societies to SARS I in 2003 showed.

Importance of Punctual Monitoring to Evaluate the Health Effects of Airborne Particulate Matter

Particulate matter (PM) pollution is one of the major public health problems worldwide, given the high mortality attributable to exposure to PM pollution and the high pathogenicity that is found above all in the respiratory, cardiovascular, and neurological systems. The main sources of PM pollution are the daily use of fuels (wood, coal, organic residues) in appliances without emissions abatement systems, industrial emissions, and vehicular traffic. This review aims to investigate the causes of PM pollution and classify the different types of dust based on their size. The health effects of exposure to PM will also be discussed. Particular attention is paid to the measurement method, which is unsuitable in the risk assessment process, as the evaluation of the average PM compared to the evaluation of PM with punctual monitoring significantly underestimates the health risk induced by the achievement of high PM values, even for limited periods of time.

The impact of COVID-19 on populations living at high altitude: Role of hypoxia-inducible factors (HIFs) signaling pathway in SARS-CoV-2 infection and replication

Cases of coronavirus disease 2019 (COVID-19) have been reported worldwide. However, one epidemiological report has claimed a lower incidence of the disease in people living at high altitude (&gt;2,500 m), proposing the hypothesis that adaptation to hypoxia may prove to be advantageous with respect to SARS-CoV-2 infection. This publication was initially greeted with skepticism, because social, genetic, or environmental parametric variables could underlie a difference in susceptibility to the virus for people living in chronic hypobaric hypoxia atmospheres. Moreover, in some patients positive for SARS-CoV-2, early post-infection ‘happy hypoxia” requires immediate ventilation, since it is associated with poor clinical outcome. If, however, we accept to consider the hypothesis according to which the adaptation to hypoxia may prove to be advantageous with respect to SARS-CoV-2 infection, identification of the molecular rational behind it is needed. Among several possibilities, HIF-1 regulation appears to be a molecular hub from which different signaling pathways linking hypoxia and COVID-19 are controlled. Interestingly, HIF-1α was reported to inhibit the infection of lung cells by SARS-CoV-2 by reducing ACE2 viral receptor expression. Moreover, an association of the rs11549465 variant of HIF-1α with COVID-19 susceptibility was recently discovered. Here, we review the evidence for a link between HIF-1α, ACE2 and AT1R expression, and the incidence/severity of COVID-19. We highlight the central role played by the HIF-1α signaling pathway in the pathophysiology of COVID-19.

Effectiveness of third vaccine dose for coronavirus disease 2019 during the Omicron variant pandemic: a prospective observational study in Japan

The administration of a third booster dose of messenger ribonucleic acid (mRNA) vaccines against coronavirus disease 2019 (COVID-19) has progressed worldwide. Since January 2022, Japan has faced a nationwide outbreak caused by the Omicron variant, which occurred simultaneously with the progression of mass vaccination with the third booster dose. Therefore, this study evaluated the effectiveness of the third dose of vaccine by reverse transcription-polymerase chain reaction (RT-PCR) test using nasopharyngeal swab samples from adults aged ≥ 18 years tested after having close contact with COVID-19 cases between January and May 2022. Participants who completed only one dose were excluded from the study. Among the 928 enrolled participants, 139 had never been vaccinated, 609 had completed two doses, 180 had completed three doses before the swab test, and the overall RT-PCR test positivity rate in each group was 48.9%, 46.0%, and 32.2%, respectively. The vaccine effectiveness of the third dose to prevent infection after close contact was approximately 40% (95% confidence interval: 20–60%), which was the highest at 10–70 days after receiving the third dose. In conclusion, the effectiveness of the three-dose mRNA COVID-19 vaccine after close contact during the Omicron outbreak is approximately 40%.

The influence of SARS-CoV-2 vaccination on post-operative outcomes in microsurgery patients

Background

The healthcare industry's efforts to immunize the global community against severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2) have been unprecedented. Given the fast‐tracking of the novel vaccine, its short‐ and long‐term medical implications remain largely to‐be‐determined in most patient populations. This study aims to analyze 90‐day post‐operative outcomes in microsurgical patients, who have received or not received SARS‐CoV‐2‐vaccination, using a continuously updated federated electronic medical record network (TriNetX Inc, Cambridge, MA).

Methods

After screening 70 million de‐identified records, 16,799 microsurgery patients aged 18–99 meeting medical coding criteria were allocated into two cohorts. Cohort One received SARS‐CoV‐2‐vaccination prior to undergoing microsurgery whereas Cohort Two did not. Two equally sized cohorts, totaling 818 patients were created after propensity score matching for characteristics including: age, race, ethnicity, smoking, hypertension, heart disease, diabetes, obesity, chronic obstructive pulmonary disease, and history of SARS‐CoV‐2 exposure. Postoperative outcomes within 30‐, 60‐, and 90‐days of microsurgery were analyzed.

Results

Patients who were SARS‐CoV‐2‐immunized experienced significantly lower (p < .01) surgical site infections (Absolute Risk Reduction (ARR)[95%CI]) = (3.79%–5.36% [0.84–8.54]) ICU admission (9.47%–9.82%[5.45–13.88]), generalized infections (7.68%–9.92%[3.15–14.64]), and hospitalizations (28.48%–32.57%[20.99–40.13]) within 30‐, 60‐, and 90‐days of microsurgery. Additionally, SARS‐CoV‐2‐vaccinated patients also experienced significantly less flap failure (2.49%[0.97–4.02]) and death (2.46%[0.96–3.97]) within 30‐ and 60‐days post‐operatively.

Conclusion

Our analysis examines the potential protective effect of SARS‐CoV‐2‐vaccination in microsurgical patients. Limitations include the retrospective nature of this analysis and the inherent reliance on medical coding. Future prospective studies are warranted to better understand if in fact pre‐operative SARS‐CoV‐2‐vaccination has the potential to protect against post‐operative microsurgery outcomes.

Attitude towards and perception of individual safety after SARS-CoV-2 vaccination among German cancer patients

Purpose

Refusal to receive SARS-CoV-2 vaccination poses a threat to fighting the COVID-19 pandemic. Little is known about German cancer patients’ attitude towards and experience with SARS-CoV-2 vaccination.

Methods

Patients were enrolled between 04–11/2021. They completed a baseline questionnaire (BLQ) containing multiple choice questions and Likert items ranging from 1 (“totally disagree”) to 11 (“totally agree”) regarding their attitude towards vaccination and COVID-19. A follow-up questionnaire (FUQ) was completed after vaccination.

Results

218 patients (43% female) completed BLQ (110 FUQ; 48% female). Most patients agreed to “definitely get vaccinated” (82%) and disagreed with “SARS-CoV-2 vaccination is dispensable due to COVID-19 being no serious threat” (82%; more dissent among men, p = 0.05). Self-assessment as a member of a risk group (p = 0.03) and fear of COVID-19 (p = 0.002) were more common among women. Fear of side effects was more common among women (p = 0.002) and patients with solid or GI tumors (p = 0.03; p < 0.0001). At FUQ, almost all (91%) reported their vaccination to be well tolerated, especially men (p = 0.001). High tolerability correlated with confidence in the vaccine being safe (r = 0.305, p = 0.003). Most patients would agree to get it yearly (78%). After vaccination, patients felt safe meeting friends/family (91%) or shopping (62%). Vacation (32%) or work (22%) were among others considered less safe (less frequent among men, p < 0.05).

Conclusion

Acceptance of SARS-CoV-2 vaccination is high and it is well tolerated in this sensitive cohort. However, concerns about vaccine safety remain. Those and gender differences need to be addressed. Our results help identify patients that benefit from pre-vaccination consultation.

SARS-CoV-2 reinfections: Overview of efficacy and duration of natural and hybrid immunity

Seroprevalence surveys suggest that more than a third and possibly more than half of the global population has been infected with SARS-CoV-2 by early 2022. As large numbers of people continue to be infected, the efficacy and duration of natural immunity in terms of protection against SARS-CoV-2 reinfections and severe disease is of crucial significance for the future. This narrative review provides an overview on epidemiological studies addressing this issue. National surveys covering 2020-2021 documented that a previous SARS-CoV-2 infection is associated with a significantly reduced risk of reinfections with efficacy lasting for at least one year and only relatively moderate waning immunity. Importantly, natural immunity showed roughly similar effect sizes regarding protection against reinfection across different SARS-CoV-2 variants, with the exception of the Omicron variant for which data are just emerging before final conclusions can be drawn. Risk of hospitalizations and deaths was also reduced in SARS-CoV-2 reinfections versus primary infections. Observational studies indicate that natural immunity may offer equal or greater protection against SARS-CoV-2 infections compared to individuals receiving two doses of an mRNA vaccine, but data are not fully consistent. The combination of a previous SARS-CoV-2 infection and a respective vaccination, termed hybrid immunity, seems to confer the greatest protection against SARS-CoV-2 infections, but several knowledge gaps remain regarding this issue. Natural immunity should be considered for public health policy regarding SARS-CoV-2.

The Impact of Hyper-Acute Inflammatory Response on Stress Adaptation and Psychological Symptoms of COVID-19 Patients

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection induces a significant inflammatory response that are amplified by persistent stress. The pathophysiology of mental illnesses is explored in terms of inflammatory processes. Thus, anxious, depressed, or psychotic episodes may occur as a result of metabolic and immunological imbalances, as a direct result of their effect on the central nervous system, or as a side effect of the COVID-19 medication protocols. As such, the primary objective of this research is to establish if the psychological profiles of COVID-19 patients change substantially according to illness severity. The secondary objective is to determine if particular biological inflammatory indicators are associated with anxiety, sadness, psychoticism, and paranoid ideation. A cross-sectional study was performed on 90 hospitalized patients admitted during a 3-month period in the COVID-19 unit. All patients received the COPE-60 and SCL-90R questionnaires. Clinical and paraclinical data were collected and the information was classified according to the severity of COVID-19.The hyper-acute inflammation encountered in patients with severe COVID-19 infection characterized 80.0% of patients using disengagement coping methods, significantly more than patients with mild or moderate SARS-CoV-2 infection severity (p-value = 0.012), respectively, 73.3% severe COVID-19 patients engaging in emotion-focused coping strategies based on the COPE-60 scale (p-value = 0.037). Additionally, it was determined that negative coping mechanisms (disengagement) and emotion-focused methods are independent risk factors for developing psychoticism symptoms following acute SARS-CoV-2 infection, based on the SCL-90 questionnaire (OR = 2.07; CI = 1.44–3.01), respectively (OR = 2.92; CI = 1.44–3.01). Elevated white blood cells and monocytes and inflammatory markers, such as fibrinogen, procalcitonin, IL-6, and D-dimers, were also identified as risk factors for psychoticism symptoms in multivariate analysis. It is particularly important to consider the constant mental-state evaluation in patients with severe COVID-19 that might benefit from early intervention before psychotic symptoms onset.

Reporting dinaciclib and theodrenaline as a multitargeted inhibitor against SARS-CoV-2: an in-silico study

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is one of the rapid spreading coronaviruses that belongs to the Coronaviridae family. The rapidly evolving nature of SARS-CoV-2 results in a variety of variants with a capability of evasion to existing therapeutics and vaccines. So, there is an imperative need to discover potent drugs that can able to disrupt the function of multiple drug targets to tackle the SARS-CoV-2 menace. Here in this study, we took the different targets of SARS-CoV-2 prepared in the Schrodinger maestro. The library of the DrugBank database is screened against the selected crucial targets. Our molecular docking, Molecular Mechanics/Generalized Born Surface Area (MMGBSA), and molecular dynamics simulation studies led to identifying dinaciclib and theodrenaline as potential drugs against multiple drug targets: main protease, NSP15-endoribonuclease and papain-like-protease, of SARS-CoV-2. Dinaciclib with papain-like protease and NSP15-endoribonuclease show the docking score of -7.015 and -8.737, respectively, while the theodrenaline with NSP15-endoribonuclease and main protease produced the docking score of -8.507 and -7.289, respectively. Furthermore, the binding free energy calculations with MM/GBSA and molecular dynamics simulation studies of the complexes confirm the reliability of the drugs. The selected drugs are capable of binding to multiple targets simultaneously, thus withstanding their activity of target disruption in different variants of SARS-CoV-2. Although, the repurposed drugs are showing potent activity, but may need further in-vitro and in-vivo validations.Communicated by Ramaswamy H. Sarma.

Learning from the pandemic: mortality trends and seasonality of deaths in Australia in 2020

Aim

To assess whether the observed numbers and seasonality of deaths in Australia during 2020 differed from expected trends based on 2015–19 data.

Methods

We used provisional death data from the Australian Bureau of Statistics, stratified by state, age, sex and cause of death. We compared 2020 deaths with 2015-19 deaths using interrupted time series adjusted for time trend and seasonality. We measured the following outcomes along with 95% confidence intervals: observed/expected deaths (rate ratio: RR), change in seasonal variation in mortality (amplitude ratio: AR) and change in week of peak seasonal mortality (phase difference: PD).

Results

Overall 4% fewer deaths from all causes were registered in Australia than expected in 2020 [RR 0·96 (0·95-0·98)] with reductions across states, ages and sex strata. There were fewer deaths from respiratory illness [RR 0·79 (0·76-0·83)] and dementia [RR 0·95 (0·93-0·98)] but more from diabetes [RR 1·08 (1·04-1·13)]. Seasonal variation was reduced for deaths overall [AR 0·94 (0·92-0·95)], and for deaths due to respiratory illnesses [AR 0·78 (0·74-0·83)], dementia [AR 0.92 (0.89-0.95)] and ischaemic heart disease [0.95 (0.90-0.97)].

Conclusions

The observed reductions in respiratory and dementia deaths and the reduced seasonality in ischaemic heart disease deaths may reflect reductions in circulating respiratory (non-SARS-CoV-2) pathogens resulting from the public health measures taken in 2020. The observed increase in diabetes deaths is unexplained and merits further study.

A case of COVID-19 reinfection in a hemodialysis patient: the role of antibody in SARS-CoV-2 infection

Hemodialysis patients are vulnerable to severe and lethal COVID-19, and their protective immunity against COVID-19 is not yet fully understood. Therefore, we report a case of COVID-19 reinfection in a hemodialysis patient 81 days after the first episode and discuss the role of antibodies in SARS-CoV-2 infection. A hemodialysis patient developed asymptomatic COVID-19 due to an outbreak in a hospital on October 29th, 2020. As he was hospitalized and did not develop any symptoms, he was discharged on November 9th. On January 18th, he presented with symptomatic COVID-19 due to close household contact. Then, he developed respiratory failure and was transferred to National Center for Global Health and Medicine if he would need intensive care. He recovered with oxygen inhalation, favipiravir, and steroid treatment, and was discharged on February 12th. To evaluate anti-SARS-CoV-2 antibodies during two hospital stays, we measured immunoglobulin (Ig) G specific for S1 subunit of Spike (S) protein of SARS-CoV-2 (IgG-S1) , IgG specific for the full-length S protein (anti-Spike IgG) and neutralizing antibodies. No seroconversion occurred 5 days after initial infection, the seroconversion of IgG-S1 was observed 10 days after the second infection. Similar to IgG-S1 antibody titer results, anti-Spike IgG and neutralizing antibodies increased from 12 days after the second infection. In conclusion, we experienced a case of COVID-19 reinfection in a hemodialysis patient 81 days after the first episode and showed the kinetics and role of antibodies in SARS-CoV-2 infection. Further studies are needed to understand SARS-CoV-2 reinfection risk in hemodialysis patients and its clinical significance.

Clinical Features and Time to Recovery of Admitted COVID-19 Cases at Dilla University Referral Hospital Treatment Center, South Ethiopia

Background

Since coronavirus disease 2019 emergence, millions were infected and many were dying because of the virus. Clinical features and time to recovery of admitted clients vary across settings. Therefore showing clinical features and recovery time from COVID-19 in a different setting is necessary to design appropriate treatment and preventive measures. So, this study attempted to investigate the clinical features and time to recovery of admitted clients to Dilla University Referral Hospital treatment center, Ethiopia.

Methods

A retrospective study design was conducted in 220 patients confirmed by real time polymerase chain reaction and admitted to Dilla University Referral Hospital treatment center from September 2020 to July 2021. Data were collected from the patients’ record. Data entry was done by an Epi-Info version 7.2.1.0 and analyzed by Statistical Package for the Social Sciences version 25 software. Descriptive statistics were used for clinical features, and median time to recovery was computed by using Kaplan–Meier.

Results

Common clinical features were cough 209 (95%), shortness of breath 153 (69.5%), fever 133 (60.5%), headache 75 (34.1%), easy fatigue 68 (30.9%), joint pain 56 (25.5%), tachypnea 197 (89.5%), hypoxia 95 (43.2%), and tachycardia 83 (37.7%). The overall median recovery time for admitted cases was 5 days. There was significant difference between recovery probability of severe and moderate cases, severe and mild cases (p=0.00), who had normal body temperature and hypothermic (p=0.05), who had normal breathing rate and bradypnea patients (p= 0.014).

Conclusion

COVID-19 patients frequently show cough, shortness of breath, fever, headache, easy fatigue and joint pain. Median time to recovery was 5 days. Having a normal body temperature, normal breathing rate, and severe disease status had statistically significant association with median recovery time. So, close follow up is required for client admitted with severe disease.

Social Resilience Promotion Factors during the COVID-19 Pandemic: Insights from Urmia, Iran

Social resilience is an essential need for societies faced with adverse events such as pandemics. The recent COVID-19 outbreak has affected many communities around the globe. In fact, in addition to unprecedented mortality and infection rates, it has also caused major anxieties and social problems. Iran has been one of the hardest-hit countries and is among those that have experienced multiple waves of the outbreak. In this study, we try to identify major factors that can contribute to urban social resilience during the COVID-19 pandemic in Urmia, a major city located in Northwestern Iran. Data for the study were collected via a field visit and a semi-structured interview survey involving 194 participants. Findings show that several factors related to the following three themes play a significant role in promoting social resilience: (1) participative and supportive governance, (2) resource accessibility, and (3) citizen participation and lawfulness. Results can inform local authorities in Urmia and other contexts to deal with COVID-19 and similar pandemics.

Energy Saving and Carbon Neutrality in the Funeral Industry

As a result of the global population growth since World War II, and the major impact of the COVID-19 pandemic on the increase in the number of deaths, carbon emissions resulting from cremations in the funeral industry have increased by more than initially expected. In order to achieve the goal of the Kyoto Protocol and the Paris Agreement, to reach net-zero carbon neutrality by 2050, in this study, we comprehensively examined the literature on the differences in burial methods in terms of carbon emissions, and undertook stepwise analysis of the solution’s sequence from 1990 to 2050 using the recurrence relations in the trend changes using 5-year intervals. By collecting the annual number of global deaths and calculating the average carbon emissions per death to be 245 kg, we analyzed and compared these data with the annual carbon dioxide amount and global population until 2050. In addition, the results for cremation and Cryomation were analyzed and compared to construct a model of comparative advantage. The results of this study show that Cryomation is more energy efficient and has a greater impact on carbon emission reduction than cremation because it does not require carbon emission elements such as embalming or coffins. Thus, Cryomation can effectively reduce damage to the environment. Taking appropriate strategies for the funeral industry to promote Cryomation can achieve the goals of environmental protection and sustainable development.

Activation of Sphingomyelinase-Ceramide-Pathway in COVID-19 Purposes Its Inhibition for Therapeutic Strategies

Effective treatment strategies for severe coronavirus disease (COVID-19) remain scarce. Hydrolysis of membrane-embedded, inert sphingomyelin by stress responsive sphingomyelinases is a hallmark of adaptive responses and cellular repair. As demonstrated in experimental and observational clinical studies, the transient and stress-triggered release of a sphingomyelinase, SMPD1, into circulation and subsequent ceramide generation provides a promising target for FDA-approved drugs. Here, we report the activation of sphingomyelinase-ceramide pathway in 23 intensive care patients with severe COVID-19. We observed an increase of circulating activity of sphingomyelinase with subsequent derangement of sphingolipids in serum lipoproteins and from red blood cells (RBC). Consistent with increased ceramide levels derived from the inert membrane constituent sphingomyelin, increased activity of acid sphingomyelinase (ASM) accurately distinguished the patient cohort undergoing intensive care from healthy controls. Positive correlational analyses with biomarkers of severe clinical phenotype support the concept of an essential pathophysiological role of ASM in the course of SARS-CoV-2 infection as well as of a promising role for functional inhibition with anti-inflammatory agents in SARS-CoV-2 infection as also proposed in independent observational studies. We conclude that large-sized multicenter, interventional trials are now needed to evaluate the potential benefit of functional inhibition of this sphingomyelinase in critically ill patients with COVID-19.

Reinfection rates among patients previously infected by SARS-CoV-2: systematic review and meta-analysis

BACKGROUND

Asymptomatic or symptomatic infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can be followed by reinfection. The protection conferred by prior infection among coronavirus disease 2019 (COVID-19) patients is unclear. We assessed the incidence of SARS-CoV-2 reinfection and the protection effect of previous infection against reinfection.

METHODS

We searched PubMed, EMBASE, Cochrane, Scopus, Web of Science, and ClinicalTrials.gov for publications up until the end date of May 1, 2021. The reinfection rate of recovered patients and the protection against reinfection were analyzed using meta-analysis.

RESULTS

Overall, 19 studies of 1096 reinfection patients were included. The pooled reinfection rate was 0.65% (95% confidence interval [CI] 0.39-0.98%). The symptomatic reinfection rate was a bit lower (0.37% [95% CI 0.11-0.78%], I2 = 99%). The reinfection rate was much higher in high-risk populations (1.59% [95% CI 0.30-3.88%], I2 = 90%). The protection against reinfection and symptomatic reinfection was similar (87.02% [95% CI 83.22-89.96%] and 87.17% [95% CI 83.09-90.26%], respectively).

CONCLUSIONS

The rate of reinfection with SARS-CoV-2 is relatively low. The protection against SARS-CoV-2 after natural infection is comparable to that estimated for vaccine efficacy. These data may help guide public health measures and vaccination strategies in response to the COVID-19 pandemic. High-quality clinical studies are needed to establish the relevant risk factors in recovered patients.

Molecular dynamics simulations of the flexibility and inhibition of SARS-CoV-2 NSP 13 helicase

The helicase protein of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is both a good potential drug target and very flexible. The flexibility, and therefore its function, could be reduced through knowledge of these motions and identification of allosteric pockets. Using molecular dynamics simulations with enhanced sampling, we determined key modes of motion and sites on the protein that are at the interface between flexible domains of the proteins. We developed an approach to map the principal components of motion onto the surface of a potential binding pocket to help in the identification of allosteric sites.

Who's in the House? Staffing in Long-Term Care Homes Before and During COVID-19 Pandemic

Critical gaps exist in our knowledge on how best to provide quality person-centered care to long-term care (LTC) home residents which is closely tied to not knowing what the ideal staff is complement in the home. A survey was created on staffing in LTC homes before and during the COVID-19 pandemic to determine how the staff complement changed. Perspectives were garnered from researchers, clinicians, and policy experts in eight countries and the data provides a first approximation of staffing before and during the pandemic. Five broad categories of staff working in LTC homes were as follows: (1) those responsible for personal and support care, (2) nursing care, (3) medical care, (4) rehabilitation and recreational care, and (5) others. There is limited availability of data related to measuring staff complement in the home and those with similar roles had different titles making it difficult to compare between countries. Nevertheless, the survey results highlight that some categories of staff were either absent or deemed non-essential during the pandemic. We require standardized high-quality workforce data to design better decision-making tools for staffing and planning, which are in line with the complex care needs of the residents and prevent precarious work conditions for staff.

Identifying the Hot Spot Residues of the SARS-CoV-2 Main Protease Using MM-PBSA and Multiple Force Fields

In this study, we investigated the binding affinities between the main protease of SARS-CoV-2 virus (Mpro) and its various ligands to identify the hot spot residues of the protease. To benchmark the influence of various force fields on hot spot residue identification and binding free energy calculation, we performed MD simulations followed by MM-PBSA analysis with three different force fields: CHARMM36, AMBER99SB, and GROMOS54a7. We performed MD simulations with 100 ns for 11 protein-ligand complexes. From the series of MD simulations and MM-PBSA calculations, it is identified that the MM-PBSA estimations using different force fields are weakly correlated to each other. From a comparison between the force fields, AMBER99SB and GROMOS54a7 results are fairly correlated while CHARMM36 results show weak or almost no correlations with the others. Our results suggest that MM-PBSA analysis results strongly depend on force fields and should be interpreted carefully. Additionally, we identified the hot spot residues of Mpro, which play critical roles in ligand binding through energy decomposition analysis. It is identified that the residues of the S4 subsite of the binding site, N142, M165, and R188, contribute strongly to ligand binding. In addition, the terminal residues, D295, R298, and Q299 are identified to have attractive interactions with ligands via electrostatic and solvation energy. We believe that our findings will help facilitate developing the novel inhibitors of SARS-CoV-2.

Nebulization of glutathione and N-Acetylcysteine as an adjuvant therapy for COVID-19 onset

Ever since its emergence, the highly transmissible and debilitating coronavirus disease spread at an incredibly fast rate, causing global devastation in a matter of months. SARS-CoV-2, the novel coronavirus responsible for COVID-19, infects hosts after binding to ACE2 receptors present on cells from many structures pertaining to the respiratory, cardiac, hematological, neurological, renal and gastrointestinal systems. COVID-19, however, appears to trigger a severe cytokine storm syndrome in pulmonary structures, resulting in oxidative stress, exacerbated inflammation and alveolar injury. Due to the recent nature of this disease no treatments have shown complete efficacy and safety. More recently, however, researchers have begun to direct some attention towards GSH and NAC. These natural antioxidants play an essential role in several biological processes in the body, especially the maintenance of the redox equilibrium. In fact, many diseases appear to be strongly related to severe oxidative stress and deficiency of endogenous GSH. The high ratios of ROS over GSH, in particular, appear to reflect severity of symptoms and prolonged hospitalization of COVID-19 patients. This imbalance interferes with the body's ability to detoxify the cellular microenvironment, fold proteins, replenish antioxidant levels, maintain healthy immune responses and even modulate apoptotic events. Oral administration of GSH and NAC is convenient and safe, but they are susceptible to degradation in the digestive tract. Considering this drawback, nebulization of GSH and NAC as an adjuvant therapy may therefore be a viable alternative for the management of the early stages of COVID-19.

Clinical Management of Adult Patients with COVID-19 Outside Intensive Care Units: Guidelines from the Italian Society of Anti-Infective Therapy (SITA) and the Italian Society of Pulmonology (SIP)

INTRODUCTION

The Italian Society of Anti-Infective Therapy (SITA) and the Italian Society of Pulmonology (SIP) constituted an expert panel for developing evidence-based guidance for the clinical management of adult patients with coronavirus disease 2019 (COVID-19) outside intensive care units.

METHODS

Ten systematic literature searches were performed to answer ten different key questions. The retrieved evidence was graded according to the Grading of Recommendations Assessment, Development, and Evaluation methodology (GRADE).

RESULTS AND CONCLUSION

The literature searches mostly assessed the available evidence on the management of COVID-19 patients in terms of antiviral, anticoagulant, anti-inflammatory, immunomodulatory, and continuous positive airway pressure (CPAP)/non-invasive ventilation (NIV) treatment. Most evidence was deemed as of low certainty, and in some cases, recommendations could not be developed according to the GRADE system (best practice recommendations were provided in similar situations). The use of neutralizing monoclonal antibodies may be considered for outpatients at risk of disease progression. For inpatients, favorable recommendations were provided for anticoagulant prophylaxis and systemic steroids administration, although with low certainty of evidence. Favorable recommendations, with very low/low certainty of evidence, were also provided for, in specific situations, remdesivir, alone or in combination with baricitinib, and tocilizumab. The presence of many best practice recommendations testified to the need for further investigations by means of randomized controlled trials, whenever possible, with some possible future research directions stemming from the results of the ten systematic reviews.

Changes in social support of pregnant and postnatal mothers during the COVID-19 pandemic

OBJECTIVE

Our objectives were to assess in perinatal women: the most effective methods used to meet social support needs during COVID-19, the impact of COVID-19 on self-reported social support levels, and how perceived change in social support related to distress, depression, and mental health.

DESIGN

One-time survey administered from April to August 2020 SETTING: Online PARTICIPANTS: Pregnant and postpartum women with infants less than 6 months of age MEASUREMENT AND FINDINGS: Participants indicated the methods they used to meet social support needs during COVID-19. They self-rated their social support level pre- and during pandemic and their distress, depressive symptoms, and mental health changes on a Likert scale. Out of 1142 participants, the most effective methods for obtaining social support during the pandemic were virtual means (e.g. video call) and interaction with friends. There was a significant difference in distribution of self-reported levels of social support before and during the pandemic, with more respondents reporting a decrease in support. Decreases in social support were associated with higher distress levels, higher levels of depressive symptoms, and poorer mental health.

KEY CONCLUSIONS

Perinatal women reported decreased social support during the COVID-19 pandemic which was associated with poorer mental health. Using virtual means of social support and support provided by friends had the largest positive effect on perceived social support levels.

IMPLICATIONS FOR PRACTICE

Interventions using virtual support means from friends may be helpful to improve social support and mental health in this population.

Clinical Characteristics and Outcome of SARS-CoV-2 Patients. An Experience from Anbar province - West of Iraq

The SARS-CoV2 infection emerged in Iraq in February 2020. In this study, we describe the clinical characteristics and outcomes of the initial SARS-CoV2 patients. A total of 529 patients were included in this study from April to August 2020 in Anbar province. Patients were confirmed to be infected in nasal swabs by real-time RT-PCR or chest CT scan findings. The gathered data included the demographic variables (age, sex, residency), presence of comorbidity (hypertension, diabetes mellitus, respiratory illness, coronary heart disease, chronic kidney disease, obesity), and history of contact with a known case of SARS-CoV2. The results showed that 64% of the patients were males and 36% were female, 48% of the patients lied in the age category 40-59 years, 74% had exposure history, 95% did not have a history of smoking, 46% were overweight, 60% had no comorbidity, 78% presented with mild/moderate disease, 70% had typical chest CT scan finding (CO-RAD 5), and 76% of patients showed positive PCR. The fatality rate is 16%. Most of the patients had a history of exposure to a confirmed case of SARS-CoV2 before the illness. The severity and outcome were correlated with risk factors and comorbidity. Combining chest computed tomography images with the qPCR analysis of nasal swab samples can improve the accuracy of SARS-CoV2 diagnosis.

Low Serological Prevalence of SARS-CoV-2 Antibodies in Cancer Patients at a German University Oncology Center

BACKGROUND

Coronavirus disease 2019 (COVID-19) cases in Germany, as in most other places in Europe or worldwide, are still highly prevalent. Vaccination rates currently remain low, putting cancer patients at a continued risk of infection with SARS-CoV-2, while prevalence of SARS-CoV-2 antibodies among cancer patients in Germany remains essentially unknown.

METHODS

Between August 2020 and February 2021, patients admitted to our hospital were prospectively enrolled in our COVID-19 biobank. Collected sera were analyzed for SARS-CoV-2-IgM/IgG using Elecsys Anti-SARS-CoV-2 assay.

RESULTS

One hundred and ten patients with cancer were included in this study. With 71 (65%) patients, most had active cancer treatment, mainly chemotherapy (56%). The most frequent diagnosis was gastrointestinal cancer (54%) with pancreatic cancer being the most common cancer type (24%). Hematologic malignancies were present in 21 patients (17%). Among the cancer patients first diagnosed during the pandemic, the rate of palliative treatment situations tended to be higher (76% vs. 67%, p = 0.17). A history of SARS-CoV-2 infection was documented in 15 (14%) patients; however, SARS-CoV-2 antibodies were detected in 10 (67%) patients only. Of the patients without a history of SARS-CoV-2 infection, none displayed SARS-CoV-2 antibodies.

CONCLUSION

In the present single-center experience, a low serological prevalence of SARS-CoV-2 antibodies among cancer patients even after SARS-CoV-2 infection was found. The results support continued strict preventive measures as well as efforts toward faster vaccination, due to a low immunity level in the population.

The association between BMI and metabolically unhealthy status with COVID-19 mortality: Based on 3019 inpatients from Wuhan, China

BACKGROUND AND AIMS

Patients with multiple metabolic diseases are at high risk for the occurrence and death of COVID-19. Little is known about patients with underweight and metabolically healthy obesity. The aim of this study is to evaluate the impact of BMI and COVID-19 mortality in hospitalized patients, and also explore the association in different metabolically healthy (MHS) and unhealthy status (MUS).

METHODS AND RESULTS

A retrospective cohort study based on 3019 inpatients from Wuhan was conducted. Included patients were classified into four groups according the BMI level (underweight, normal weight, overweight and obesity), and patients with at least one of the metabolic abnormalities (diabetes, hypertension, dyslipidemia) was defined as MUS. Multiple Cox model was used to calculate the hazard ratio (HR). Compared to patients with normal weight, the HRs of overweight and obesity for COVID-19 mortality were 1.91 (95%CI:1.02-3.58) and 2.54 (95%CI:1.22-5.25) respectively in total patients, and 2.58 (95%CI:1.16-5.75) and 3.89 (95%CI:1.62-9.32) respectively in the elderly. The HR of underweight for COVID-19 mortality was 4.58 (95%CI:1.56-13.48) in the elderly. For different metabolic statuses, both underweight, overweight and obesity had obviously negative association with COVID-19 mortality in total and elderly patients with MUS. However, no significance was found in non-elderly and patients with MHS.

CONCLUSION

Not only overweight or obesity, but also underweight can be associated with COVID-9 mortality, especially in the elderly and in patients with MUS. More large-scale studies are needed for patients with underweight and metabolically healthy overweight or obesity.

Discovery and characterization of high-affinity, potent SARS-CoV-2 neutralizing antibodies via single B cell screening

Monoclonal antibodies that target SARS-CoV-2 with high affinity are valuable for a wide range of biomedical applications involving novel coronavirus disease (COVID-19) diagnosis, treatment, and prophylactic intervention. Strategies for the rapid and reliable isolation of these antibodies, especially potent neutralizing antibodies, are critical toward improved COVID-19 response and informed future response to emergent infectious diseases. In this study, single B cell screening was used to interrogate antibody repertoires of immunized mice and isolate antigen-specific IgG1⁺ memory B cells. Using these methods, high-affinity, potent neutralizing antibodies were identified that target the receptor-binding domain of SARS-CoV-2. Further engineering of the identified molecules to increase valency resulted in enhanced neutralizing activity. Mechanistic investigation revealed that these antibodies compete with ACE2 for binding to the receptor-binding domain of SARS-CoV-2. These antibodies may warrant further development for urgent COVID-19 applications. Overall, these results highlight the potential of single B cell screening for the rapid and reliable identification of high-affinity, potent neutralizing antibodies for infectious disease applications.

Predictive model for the development of critical coronavirus disease 2019 and its risk factors among patients in Japan

Background

This study aimed to examine risk factors associated with critical coronavirus disease 19 (COVID-19) and to establish a risk predictive model for Japanese patients.

Methods

We retrospectively assessed adult Japanese patients diagnosed with COVID-19 at the Japanese Red Cross Medical Center, Tokyo, Japan between February 1, 2020 and March 10, 2021. The patients were divided into critical and non-critical groups based on their condition during the clinical courses. Univariate and multivariate logistic regression analyses were performed to investigate the relationship between clinical characteristics and critical illness. Based on the results, we established a predictive model for the development of critical COVID-19.

Results

In total, 300 patients were enrolled in this study. Among them, 86 were included in the critical group. Analyses revealed that age ≥65 y, hemodialysis, need for O₂ supplementation upon diagnosis, and an initial serum C-reactive protein level of ≥6.5 mg/dL were independently associated with the development of critical COVID-19. Next, a predictive model for the development of critical COVID-19 was created, and this included the following variables: age ≥65 y, male sex, diabetes, hemodialysis, need for O₂ supplementation upon diagnosis, and an initial serum C-reactive protein level of ≥6.5 mg/dL. The area under the receiver operating characteristic curve of the model was 0.86 (95% confidence interval, 0.81–0.90). Using a cutoff score of 12, the positive and negative predictive values of 74.0% and 80.4% were obtained, respectively.

Conclusions

Upon diagnosis, the predictive model can be used to identify adult Japanese patients with COVID-19 who will require intensive treatment.

Does high COVID-19 spread impact neighbouring countries? Quasi-experimental evidence from the first year of the pandemic in Ireland

Background : Coronavirus disease 2019 (COVID-19) has necessitated public health responses on an unprecedented scale. Controlling infectious diseases requires understanding of the conditions that increase spread. Prior studies have identified sociodemographic, epidemiological and geographic associations. Ireland offers an unusual opportunity to quantify how high infection rates in one country impacted cases in a neighbouring country. Methods : We analysed official statistics on confirmed COVID-19 cases on the island of Ireland for 52 weeks from March 2020. Our main research question was: Did higher cases in Northern Ireland (NI) impact the number of cases in the Republic of Ireland (ROI)? We used least squares regression to compare confirmed cases in ROI counties that border NI with the rest of the state. We included in our model sociodemographic, epidemiological and geographic factors. We employed the latitude of each county town as an instrumental variable to isolate a quasi-experimental estimate of the cross-border spread. Results : In the quasi-experimental framework, and controlling for population density, age distribution and circulatory disease prevalence, border counties had an extra 21.0 (95%CI: 8.4-33.6) confirmed COVID-19 cases per 1000 people. This equates to an estimated 9,611 additional cases in ROI, or 4% of the national total in the first year of the pandemic. Our results were substantively similar in non-experimental frameworks, with alternative additional predictors, and in sensitivity analyses. Additionally, population density in ROI counties was positively associated with confirmed cases and higher proportions of residents in the professional classes was negatively associated. Conclusion : On the island of Ireland during the first year of the COVID-19 pandemic, high infection rates in NI increased cases in the neighbouring ROI. Maximising co-ordination of pandemic responses among neighbouring countries is essential to minimising disease spread, and its associated disruptions to society and the economy. Socioeconomic disadvantage appeared to confer significant additional risk of spread.

Diabetes and COVID-19: Population Impact 18 Months Into the Pandemic

Eighteen months into the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (coronavirus disease 2019 [COVID-19]) pandemic, epidemiologic studies indicate that diabetes is a central contributor to severe COVID-19 morbidity, and, conversely, COVID-19 has had a devastating effect on the population with diabetes. In this literature synthesis, we summarize the relationship of diabetes to COVID-19-related morbidity and mortality, discuss the predictors of severe adverse outcomes and implications of the overall pandemic, and critique the current status of and identify needs for epidemiologic studies for the next phase of the pandemic. Case series show that ∼30-40% of people with COVID-19-related hospitalization, severe morbidity requiring intensive care, and/or death have type 2 or type 1 diabetes. Among hospitalized individuals with diabetes, ∼21-43% required intensive care and case fatality is ∼25%. Risk of severe morbidity and mortality is 100-250% higher among people with diabetes than those without, even after adjustment for sociodemographic factors and comorbid conditions. Impact on the general population with diabetes has been similarly dire, as overall mortality rates were 50% higher than historical trends, a net increase more than twice that of the general population. Of the excess deaths, ∼75-80% are not officially attributed to COVID-19, which raises unanswered questions about missed attribution or collateral impact. Many predictors of poor outcomes have been identified, particularly comorbid conditions (chronic kidney disease, coronary heart disease, and heart failure), concurrent obesity, and acute and chronic poor HbA1c control, that point to the potential to reduce severe morbidity and mortality in its next stages. However, response to the continuing pandemic will benefit from population-wide studies with broader examination of the risks of exposure, infection, and hospitalization, for which few data currently exist. The indirect impact of the pandemic's effects on health services, health behaviors, disease management, care, control, and complications has not been well quantified; determining this impact will be essential to lessen the future impact. Expanding epidemiologic studies of the relationship of diabetes to COVID-19 beyond few high-income countries will also be essential to limit the burden in low- and middle-income countries where 80% of individuals with diabetes reside and where the COVID-19 pandemic has been so damaging.

Epidemiological and co-infection characteristics of common human coronaviruses in Shanghai, 2015-2020: a retrospective observational study

The coronavirus disease (COVID-19) pandemic is a major challenge worldwide. However, the epidemic potential of common human coronaviruses (HCoVs) remains unclear. This study aimed to determine the epidemiological and co-infection characteristics of common HCoVs in individuals with influenza-like illness (ILI) and severe acute respiratory infection (SARI). This retrospective, observational, multicentre study used data collected from patients admitted to nine sentinel hospitals with ILI and SARI from January 2015 through December 2020 in Shanghai, China. We prospectively tested patients for a total of 22 respiratory pathogens using multi-real-time polymerase chain reaction. Of the 4541 patients tested, 40.37% (1833/4541) tested positive for respiratory pathogens and 3.59% (163/4541) tested positive for common HCoVs. HCoV infection was more common in the non-endemic season for respiratory pathogens (odds ratio: 2.33, 95% confidence interval: 1.64–3.31). HCoV-OC43 (41.72%, 68/163) was the most common type of HCoV detected. The co-infection rate was 31.29% (51/163) among 163 HCoV-positive cases, with HCoV-229E (53.13%, 17/32), the HCoV type that was most frequently associated with co-infection. Respiratory pathogens responsible for co-infections with HCoVs included parainfluenza virus, rhinovirus/enterovirus, influenza A virus, and adenovirus. Furthermore, we identified one patient co-infected with HCoV-OC43 and HCoV-NL63/HKU1. The prevalence of common HCoVs remains low in ILI/SARI cases, in Shanghai. However, the seasonal pattern of HCoVs may be opposite to that of other respiratory pathogens. Moreover, HCoVs are likely to co-exist with specific respiratory pathogens. The potential role of co-infections with HCoVs and other pathogenic microorganisms in infection and pathogenesis of ILI and SARI warrants further study.

Reusable surface amplified nanobiosensor for the sub PFU/mL level detection of airborne virus

We developed a reusable surface-amplified nanobiosensor for monitoring airborne viruses with a sub-PFU/mL level detection limit. Here, sandwich structures consisted of magnetic particles functionalized with antibodies, target viruses, and alkaline phosphatases (ALPs) were formed, and they were magnetically concentrated on Ni patterns near an electrochemical sensor transducer. Then, the electrical signals from electrochemical markers generated by ALPs were measured with the sensor transducer, enabling highly-sensitive virus detection. The sandwich structures in the used sensor chip could be removed by applying an external magnetic field, and we could reuse the sensor transducer chip. As a proof of concepts, the repeated detection of airborne influenza virus using a single sensor chip was demonstrated with a detection limit down to a sub-PFU/mL level. Using a single reusable sensor transducer chip, the hemagglutinin (HA) of influenza A (H1N1) virus with different concentrations were measured down to 10 aM level. Importantly, our sensor chip exhibited reliable sensing signals even after more than 18 times of the repeated HA sensing measurements. Furthermore, airborne influenza viruses collected from the air could be measured down to 0.01 PFU/mL level. Interestingly, the detailed quantitative analysis of the measurement results revealed the degradation of HA proteins on the viruses after the air exposure. Considering the ultrasensitivity and reusability of our sensors, it can provide a powerful tool to help preventing epidemics by airborne pathogens in the future.