Covid-19 - Navigating the Uncharted

Bioethical Implications in Vaccine Development, a COVID-19 Challenge

Introduction

In the last 18 years, on three occasions, coronavirus has represented a challenge for global health. Between 2002 and 2003 with Severe Acute Respiratory Syndrome, in 2012 with Middle East Respiratory Syndrome, and since the end of 2019 with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing the coronavirus disease 2019 (COVID-19) pandemic, which has challenged health care models and the way of doing research, placing bioethics at the center of discussion. 

Methods

On August 19, 2020, a webinar organized by the Research Institute of Medical Science (IICIMED, for its acronym in Spanish), entitled 'Bioethical Implications in Vaccine Development, a COVID-19 Challenge' took place. Three experts spoke about the importance of bioethics in the race to develop a COVID-19 vaccine, the risk involved in shortening the terms of the clinical trial phases, and how the associated risks can be minimized, in order to expedite research results. 

Conclusion

With the novel SARS-CoV-2 coronavirus, critical challenges have been posed not only for public health but for research and the scientific community. A safe and effective vaccine is urgently needed to prevent COVID-19 transmission, complications, and deaths; the adherence to ethical principles required by clinical research is mandatory and closer supervision is also essential.

A Pattern Categorization of CT Findings to Predict Outcome of COVID-19 Pneumonia

Background: As global healthcare system is overwhelmed by novel coronavirus disease (COVID-19), early identification of risks of adverse outcomes becomes the key to optimize management and improve survival. This study aimed to provide a CT-based pattern categorization to predict outcome of COVID-19 pneumonia.

Methods: One hundred and sixty-five patients with COVID-19 (91 men, 4–89 years) underwent chest CT were retrospectively enrolled. CT findings were categorized as Pattern 0 (negative), Pattern 1 (bronchopneumonia pattern), Pattern 2 (organizing pneumonia pattern), Pattern 3 (progressive organizing pneumonia pattern), and Pattern 4 (diffuse alveolar damage pattern). Clinical findings were compared across different categories. Time-dependent progression of CT patterns and correlations with clinical outcomes, i.e.„ discharge or adverse outcome (admission to ICU, requiring mechanical ventilation, or death), with pulmonary sequelae (complete absorption or residuals) on CT after discharge were analyzed.

Results: Of 94 patients with outcome, 81 (86.2%) were discharged, 3 (3.2%) were admitted to ICU, 4 (4.3%) required mechanical ventilation, 6 (6.4%) died. 31 (38.3%) had complete absorption at median day 37 after symptom onset. Significant differences between pattern-categories were found in age, disease severity, comorbidity and laboratory results (all P < 0.05). Remarkable evolution was observed in Pattern 0–2 and Pattern 3–4 within 3 and 2 weeks after symptom-onset, respectively; most of patterns remained thereafter. After controlling for age, CT pattern significantly correlated with adverse outcomes [Pattern 4 vs. Pattern 0–3 [reference]; hazard-ratio [95% CI], 18.90 [1.91–186.60], P = 0.012]. CT pattern [Pattern 3–4 vs. Pattern 0–2 [reference]; 0.26 [0.08–0.88], P = 0.030] and C-reactive protein [>10 vs. ≤ 10 mg/L [reference]; 0.31 [0.13–0.72], P = 0.006] were risk factors associated with pulmonary residuals.

Conclusion: CT pattern categorization allied with clinical characteristics within 2 weeks after symptom onset would facilitate early prognostic stratification in COVID-19 pneumonia.

Additive manufacturing in fighting against novel coronavirus COVID-19

Nowadays, COVID-19 also known as novel coronavirus has become a global pandemic by causing severe respiratory tract infections in humans without any definite treatment or vaccine. Therefore, disease control measures include slowing down or averting the transfer of this viral infection from person to person. Continuous efforts are carried out to avoid the transmission of this disease to frontline healthcare personnel using single-use personal protective equipment (PPE). However, a critical shortage in this equipment around the world is becoming an alarming concern. Therefore, it is vital to present a possible alternative to overcome the acute shortage of protective gear such as face masks against this infectious disease which can have universal accessibility and is easily available. Additive manufacturing (AM), also known as 3D printing, is a possible solution to overcome the shortage of protective gear and can play a vital role in supporting their conventional production supplies during this global pandemic situation. In this context, this paper provides a brief background study of COVID-19, its conventional preventive measure, and a detailed overview regarding the latest AM efforts including designers' providers and makers in the 3D printing community. Moreover, numerous inquiries and questions such as technical factors, testing recommendations and characterization methods and biological concerns such as biocompatibility and sterilization for the AM manufactured medical devices are addressed in this paper. In the end, two examples of AM medical devices, i.e., face mask and Ambu bag ventilator, are presented and studied through numerical simulations.

Challenges and Silver Linings of COVID-19 in Ethiopia -Short Review

Difficult situations bring not only challenges but also fruitful opportunities. The pandemic of COVID-19 by itself and the related governmental or individual level measures have their own challenges and opportunities to the community, which even might be directly or indirectly related to the control and prevention of the pandemic. The silver linings of the pandemic of COVID-19 should be uncovered to encourage the community not only to focus on the black side of the disease but also to enjoy the opportunities. This can contribute to facilitate the control of the disease and avoid the related panics. In this review, we have discussed the challenges of COVID-19 in Ethiopia in terms of health, economy, and social life, and the silver linings in terms of research opportunities, technological transformation, reading culture, and family discussion. The literatures used in this review were published and unpublished articles, reports, and working papers from Google Scholar, PubMed, MedRxiv, BioRxiv, and official websites of national and international organizations.

Counterbalancing COVID-19 with Cancer Surveillance and Therapy: A Survey of Patients with Renal Cell Carcinoma

Background

While providers are challenged with treatment decisions during the coronavirus disease 2019 (COVID-19) crisis, decision making ultimately falls in the hands of patients—at present, their perspective is poorly understood.

Objective

To ascertain renal cell carcinoma (RCC) patients’ perspectives on COVID-19 and understand the associated implications for treatment.

Design, setting, and participants

An online survey of RCC patients was conducted from March 22 to March 25, 2020, disseminated through social media and patient networking platforms. The survey comprised 45 items, including baseline demographic, clinicopathologic, and treatment-related information. Patients were additionally queried regarding their anxiety level related to COVID-19 and associated implications for their cancer diagnosis.

Intervention

An online survey study.

Outcome measurements and statistical analysis

Descriptive statistics with graphical outputs were used to characterize survey results.

Results and limitations

A total of 539 patients (male:female 39%:58%) from 14 countries responded. Of them, 71% felt that their risk of COVID-19 infection was higher than the general population, and 27% contacted their physician to establish this. Among patients with localized disease (40%), most (42%) had scheduled surveillance scans within 6 wk–65% were unwilling to delay scans. Among patients with metastatic disease, 76% were receiving active therapy. While most patients preferred not to defer therapy (51%), patients receiving immune therapy regimens were less amenable to deferring therapy than those receiving targeted treatment (20% vs 47%).

Conclusions

Despite high levels of anxiety surrounding COVID-19, many patients with RCC were inclined to adhere to existing schedules of surveillance (localized disease) and systemic treatment (metastatic disease).

Patient summary

The coronavirus disease 2019 (COVID-19) pandemic has prompted many doctors to develop different treatment strategies for cancer and other chronic conditions. Given the importance of the patient voice in these strategies, we conducted a survey of patients with kidney cancer to determine their treatment preferences. Our survey highlighted that most patients prefer to continue their current strategies of kidney cancer treatment and monitoring.

Simple and Effective Primary Assessment of Emergency Patients in a COVID-19 Outbreak Area: A Retrospective, Observational Study

Background

The rapid spread of COVID-19 has expanded into a pandemic, for which the main containment strategies to reduce transmission are social distancing and isolation of ill persons. Thousands of medical staff have been infected worldwide. Coronavirus testing kits have been in short supply, and early diagnostic reagents did not have high sensitivity. The aim of this study was to describe the characteristics of patients requiring emergency surgery in a COVID-19 outbreak area.

Methods

We assessed medical data regarding all patients who underwent emergency surgery at the main campus of Wuhan Union Hospital from January 23, 2020, to February 15, 2020. We classified patients based on suspicion of COVID-19 infection (suspected vs not suspected) before they were admitted to the operating room. We used descriptive statistics to analyze the data. Outcomes included the incidence of confirmed COVID-19 infection and length of stay, which were followed until March 25, 2020.

Results

Among the 88 emergency patients included in this study, the mean age was 37 years. Twenty-five patients presented with abnormalities observed on chest CT scans and 16 presented with fever. The median wait time for surgery was one day. The median preparation time and median time until short orientation memory concentration test (SOMCT) recovery from anesthesia were 44.0 min and 23.0 min, respectively. The median postoperative length of stay was five days. Compared with patients not suspected of COVID-19 infection, six patients were confirmed to be infected with COVID-19 in the suspected group. No health care workers were infected during this study period.

Conclusion

Simple identification using temperature screening of patients, respiratory symptoms, and chest CT scans before being admitted for emergency surgery was rapid and effective. Shortened contact times might reduce the risk of infection. Additional investigations with larger samples and improved designs are needed to confirm these observations.

Evolutionary perspectives on human behavior during the coronavirus pandemic: Insights from game theory

The coronavirus pandemic constitutes a global challenge to society and medicine. Here, we review evolutionary insights that are relevant for the understanding of how people respond to the pandemic and what to expect in the aftermath of the crisis. Specifically, we argue that the behavioral immune system (BIS) and sickness behavior (SB) comprise two adaptive responses to impending and actual infection, respectively, and that individuals activating their BIS differ from those showing SB in important ways that may have implications for the prevention and treatment of COVID-19. Moreover, we reframe some of the behavioral health issues associated with the pandemic in a game-theoretical scenario, illustrating the difficulties that arise when public health is treated as a 'public good'. Lay summary: The coronavirus pandemic constitutes a global challenge to society and medicine. In this article, we employ evolutionary theory to improve our understanding of how people respond to the pandemic. Specifically, we argue that human behavior is guided by ancient mechanisms involving either the avoidance of infection or defense against attacks in times of enhanced vulnerability. Moreover, we reframe some of the behavioral health issues associated with the pandemic in a game-theoretical scenario. This helps understand why most people comply with rules of social distancing, while a minority fails to do so for very different reasons. The evolutionary perspective also allows making some predictions for the course of the pandemic.

The Pathology of Severe COVID-19-Related Lung Damage

BACKGROUND

The histomorphological changes of lung damage in severe coronavirus disease 2019 (COVID-19) have not yet been adequately characterized. In this article, we describe the sequence of pathological changes in COVID-19 and discuss the implications for approaches to treatment.

METHODS

Standardized autopsies were performed on thirteen patients who had died of COVID-19. The findings were analyzed together with clinical data from the patients' medical records.

RESULTS

Most (77%) of the deceased patients were men. Their median age at death was 78 years (range, 41-90). Most of them had major pre-existing chronic diseases, most commonly arterial hypertension. The autopsies revealed characteristic COVID-19-induced pathological changes in the lungs, which were regarded as the cause of death in most patients. The main histological finding was sequential alveolar damage, apparently due in large measure to focal capillary microthrombus formation. Alveolar damage leads to the death of the patient either directly or by the induction of pulmonary parenchymal fibrosis. Diffuse lung damage was seen exclusively in invasively ventilated patients.

CONCLUSION

Autopsies are crucial for the systematic assessment of new diseases such as COVID-19: they provide a basis for further investigations of disease mechanisms and for the devising of potentially effective modes of treatment. The autopsy findings suggest that focal damage of the microvascular pulmonary circulation is a main mechanism of lethal lung disease due to the SARS-CoV-2 virus. It may also be a cause of persistent lung damage in patients who recover from severe COVID-19.

Impact of COVID-19 outbreak in reperfusion therapies of acute ischaemic stroke in northwest Spain

BACKGROUND AND PURPOSE

Spain has been one of the countries more heavily stricken by SARS-CoV-2, which has had huge implications for stroke care. The aim was to analyse the impact of the COVID-19 epidemic outbreak on reperfusion therapies for acute ischaemic stroke in the northwest of Spain.

METHODS

This was a Spanish multicentre retrospective observational study based on data from tertiary hospitals of the NORDICTUS network. All patients receiving reperfusion therapy for ischaemic stroke between 30 December 2019 and 3 May 2020 were recorded, and their baseline, clinical and radiological characteristics, extra- and intra-hospital times of action, Code Stroke activation pathway, COVID-19 status, reperfusion rate, and short-term outcome before and after the setting of the emergency state were analysed.

RESULTS

A total of 796 patients received reperfusion therapies for ischaemic stroke. There was a decrease in the number of patients treated per week (46.5 patients per week vs. 39.0 patients per week, P = 0.043) and a delay in out-of-hospital (95.0 vs. 110.0 min, P = 0.001) and door-to-needle times (51.0 vs. 55.0, P = 0.038). Patients receiving endovascular therapy obtained less successful reperfusion rates (92.9% vs. 86.6%, P = 0.016). COVID-19 patients had more in-hospital mortality.

CONCLUSION

A decrease in the number of patients benefiting from reperfusion therapies was found, with a delay in out-of-hospital and door-to-needle times and worse reperfusion rates in northwest Spain. COVID-19 patients had more in-hospital mortality.

COVID-19 pneumonia in a patient with adult T-cell leukemia-lymphoma

Although some patients with COVID-19 develop only mild symptoms, fatal complications have been observed among those with comorbidities. As patients with cancer are immunocompromised, they are thought to have a high risk of severe illness associated with COVID-19. We report a COVID-19 patient with adult T-cell leukemia-lymphoma (ATL) who was treated using favipiravir. A 69-year-old woman with lymphoma-type ATL was treated using cyclophosphamide, doxorubicin, vincristine, prednisolone and mogamulizumab (M-CHOP) with substantial efficacy. However, in cycle 4 of M-CHOP therapy, she developed fever with mild cough. The patient was admitted to the hospital and CT revealed bilateral ground-glass opacities. SARS-CoV-2 was detected by RT-PCR and the patient was diagnosed with COVID-19. Considering severe immunosuppression caused by ATL, we initiated favipiravir therapy. Subsequently, the fever improved without antipyretics and her C-reactive protein level decreased rapidly. SARS-CoV-2 PCR tests were negative on days 17 and 18 of favipiravir therapy, and the patient was discharged without residual disease on the final CT. This is the first documented case of COVID-19 in a patient with ATL. Although severe immunosuppression caused by ATL was present, severe COVID-19 pneumonia did not develop. The immunosuppressed condition caused by hematological malignancy may not always be a risk factor for severe illness associated with COVID-19. Further accumulation of data regarding COVID-19 in patients with hematological malignancies is warranted to clarify the risk factors for severe illness, the best-in-class antiviral agent, and the optimal treatment strategy in this population.

A simplified math approach to predict ICU beds and mortality rate for hospital emergency planning under Covid-19 pandemic

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Simple mathematics for medical doctors and decision-makers under Covid-19 emergency.

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Regression models describe the evolution of intensive care patients and fatalities.

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Proposed models allow predicting both short- and long-term horizon scenarios.

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Key values and dates of the Covid-19 phenomenon can be predicted easily.

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An Excel file is available in the supplement material for dynamic forecasts.

The different stages of Covid-19 pandemic can be described by two key-variables: ICU patients and deaths in hospitals. We propose simple models that can be used by medical doctors and decision makers to predict the trends on both short-term and long-term horizons. Daily updates of the models with real data allow forecasting some key indicators for decision-making (an Excel file in the Supplemental material allows computing them). These are beds allocation, residence time, doubling time, rate of renewal, maximum daily rate of change (positive/negative), halfway points, maximum plateaus, asymptotic conditions, and dates and time intervals when some key thresholds are overtaken.

Doubling time of ICU beds for Covid-19 emergency can be as low as 2–3 days at the outbreak of the pandemic. The models allow identifying the possible departure of the phenomenon from the predicted trend and thus can play the role of early warning systems and describe further outbreaks.

Viricidal treatments for prevention of coronavirus infection

Coronavirus disease 2019 (COVID-19), which causes severe acute respiratory syndrome and lung failure, is caused by the novel coronavirus, also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Due to high transmission rates from individual to individual, it has progressed to a pandemic. However, indirect transmission from inanimate objects or surfaces that have come in contact with a patient poses an even more significant threat as it is difficult to trace the source of infection in these cases. Therefore, these surfaces and objects require disinfection with chemicals having potent viricidal activity. These include alcohols, aldehydes, quaternary ammonium compounds, chlorhexidine, and chlorine-based disinfectants, among others. They vary in their viricidal activity depending on their structure, concentrations, and mechanism of action. Several studies have looked into these agents and the transmission of the virus related to it. Moreover, certain viricides, if used as constituents of commercially available oral disinfectants, can further aid in preventing ventilator-associated pneumonia and maintain oral hygiene. However, these chemicals are not entirely free of potential hazards. In this review, we have compiled and critically appraised some commonly used viricidal agents in healthcare settings and the role they can play in the prevention of SARS-CoV-2 transmission.

Population-level COVID-19 mortality risk for non-elderly individuals overall and for non-elderly individuals without underlying diseases in pandemic epicenters

OBJECTIVE

To provide estimates of the relative rate of COVID-19 death in people <65 years old versus older individuals in the general population, the absolute risk of COVID-19 death at the population level during the first epidemic wave, and the proportion of COVID-19 deaths in non-elderly people without underlying diseases in epicenters of the pandemic.

ELIGIBLE DATA

Cross-sectional survey of countries and US states with at least 800 COVID-19 deaths as of April 24, 2020 and with information on the number of deaths in people with age <65. Data were available for 14 countries (Belgium, Canada, France, Germany, India, Ireland, Italy, Mexico, Netherlands, Portugal, Spain, Sweden, Switzerland, UK) and 13 US states (California, Connecticut, Florida, Georgia, Illinois, Indiana, Louisiana, Maryland, Massachusetts, Michigan, New Jersey, New York, Pennsylvania). We also examined available data on COVID-19 deaths in people with age <65 and no underlying diseases.

MAIN OUTCOME MEASURES

Proportion of COVID-19 deaths in people <65 years old; relative mortality rate of COVID-19 death in people <65 versus ≥65 years old; absolute risk of COVID-19 death in people <65 and in those ≥80 years old in the general population as of June 17, 2020; absolute COVID-19 mortality rate expressed as equivalent of mortality rate from driving a motor vehicle.

RESULTS

Individuals with age <65 account for 4.5-11.2% of all COVID-19 deaths in European countries and Canada, 8.3-22.7% in the US locations, and were the majority in India and Mexico. People <65 years old had 30- to 100-fold lower risk of COVID-19 death than those ≥65 years old in 11 European countries and Canada, 16- to 52-fold lower risk in US locations, and less than 10-fold in India and Mexico. The absolute risk of COVID-19 death as of June 17, 2020 for people <65 years old in high-income countries ranged from 10 (Germany) to 349 per million (New Jersey) and it was 5 per million in India and 96 per million in Mexico. The absolute risk of COVID-19 death for people ≥80 years old ranged from 0.6 (Florida) to 17.5 per thousand (Connecticut). The COVID-19 mortality rate in people <65 years old during the period of fatalities from the epidemic was equivalent to the mortality rate from driving between 4 and 82 miles per day for 13 countries and 5 states, and was higher (equivalent to the mortality rate from driving 106-483 miles per day) for 8 other states and the UK. People <65 years old without underlying predisposing conditions accounted for only 0.7-3.6% of all COVID-19 deaths in France, Italy, Netherlands, Sweden, Georgia, and New York City and 17.7% in Mexico.

CONCLUSIONS

People <65 years old have very small risks of COVID-19 death even in pandemic epicenters and deaths for people <65 years without underlying predisposing conditions are remarkably uncommon. Strategies focusing specifically on protecting high-risk elderly individuals should be considered in managing the pandemic.

Prevalence of Diabetes and Hypertension and Their Associated Risks for Poor Outcomes in Covid-19 Patients

Coronavirus disease 2019 (Covid-19) has affected millions of people and may disproportionately affect those with hypertension and diabetes. Because of inadequate methods in published systematic reviews, the prevalence of diabetes and hypertension and associated risks of poor outcomes in Covid-19 patients are unknown. We searched databases from December 1, 2019, to April 6, 2020, and selected observational peer-reviewed studies in English of patients with Covid-19. Independent reviewers extracted data on study participants, interventions, and outcomes and assessed risk of bias, and the certainty of evidence. We included 65 (15 794 participants) observational studies at moderate to high risk of bias. Overall prevalence of diabetes and hypertension was 12% (95% confidence interval [CI], 10-15; n = 12 870; I 2: 89%), and 17% (95% CI, 13-22; n = 12 709; I 2: 95%), respectively. In severe Covid-19, the prevalence of diabetes and hypertension were 18% (95% CI, 16-20; n = 1099; I 2: 0%) and 32% (95% CI, 16-54; n = 1078; I 2: 63%), respectively. Unadjusted relative risk for intensive care unit admission and mortality were 1.96 (95% CI, 1.19-3.22; n = 8890; I 2: 80%; P = .008) and 2.78 (95% CI, 1.39-5.58; n = 2058; I 2: 75%; P = .0004) for diabetics; and 2.95 (95% CI, 2.18-3.99; n = 1737; I 2: 0%; P < .001) and 2.39 (95% CI, 1.54-3.73; n = 3107; I 2: 66%; P < .001) for hypertensives. Neither diabetes (1.50; 95% CI, 0.90-2.50; n = 1991; I 2: 74%; P = .119) nor hypertension (1.48; 95% CI, 0.99-2.23; n = 2023; I 2: 69%; P = .058) was associated with severe Covid-19. In conclusion, the risk of intensive care unit admission and mortality for patients with diabetes or hypertension who developed Covid-19 is increased compared with those without these comorbidities.

PROSPERO REGISTRATION NUMBER

CRD42020176582.

Rationale and Design of ORCHID: A Randomized Placebo-controlled Clinical Trial of Hydroxychloroquine for Adults Hospitalized with COVID-19

The ORCHID (Outcomes Related to COVID-19 treated with Hydroxychloroquine among In-patients with symptomatic Disease) trial is a multicenter, blinded, randomized trial of hydroxychloroquine versus placebo for the treatment of adults hospitalized with coronavirus disease (COVID-19). This document provides the rationale and background for the trial and highlights key design features. We discuss five novel challenges to the design and conduct of a large, multicenter, randomized trial during a pandemic, including 1) widespread, off-label use of the study drug before the availability of safety and efficacy data; 2) the need to adapt traditional procedures for documentation of informed consent during an infectious pandemic; 3) developing a flexible and robust Bayesian analysis incorporating significant uncertainty about the disease, outcomes, and treatment; 4) obtaining indistinguishable drug and placebo without delaying enrollment; and 5) rapidly obtaining administrative and regulatory approvals. Our goals in describing how the ORCHID trial progressed from study conception to enrollment of the first patient in 15 days are to inform the development of other high-quality, multicenter trials targeting COVID-19. We describe lessons learned to improve the efficiency of future clinical trials, particularly in the setting of pandemics. The ORCHID trial will provide high-quality, clinically relevant data on the safety and efficacy of hydroxychloroquine for the treatment of COVID-19 among hospitalized adults.Clinical trial registered with www.clinicaltrials.gov (NCT04332991).

A promising antiviral candidate drug for the COVID-19 pandemic: A mini-review of remdesivir

Remdesivir (GS-5734), a viral RNA-dependent RNA polymerase (RdRP) inhibitor that can be used to treat a variety of RNA virus infections, is expected to be an effective treatment for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. On May 1, 2020, The U.S. Food and Drug Administration (FDA) has granted Emergency Use Authorization (EUA) for remdesivir to treat COVID-19 patients. In light of the COVID-19 pandemic, this review presents comprehensive information on remdesivir, including information regarding the milestones, intellectual properties, anti-coronavirus mechanisms, preclinical research and clinical trials, and in particular, the chemical synthesis, pharmacology, toxicology, pharmacodynamics and pharmacokinetics of remdesivir. Furthermore, perspectives regarding the use of remdesivir for the treatment of COVID-19 are also discussed.

"Masking" our emotions: Botulinum toxin, facial expression, and well-being in the age of COVID-19

BACKGROUND

The globally devastating effects of COVID-19 breach not only the realm of public health, but of psychosocial interaction and communication as well, particularly with the advent of mask-wearing.

METHODS

A review of the literature and understanding of facial anatomy and expressions as well as the effect of botulinum toxin on emotions and nonverbal communication.

RESULTS

Today, the mask has become a semi-permanent accessory to the face, blocking our ability to express and perceive each other's facial expressions by dividing it into a visible top half and invisible bottom half. This significantly restricts our ability to accurately interpret emotions based on facial expressions and strengthens our perceptions of negative emotions produced by frowning. The addition of botulinum toxin (BTX)-induced facial muscle paralysis to target the muscles of the top (visible) half of the face, especially the corrugator and procerus muscles, may act as a therapeutic solution by its suppression of glabellar lines and our ability to frown. The treatment of the glabella complex not only has been shown to inhibit the negative emotions of the treated individual but also can reduce the negative emotions in those who come in contact with the treated individual.

CONCLUSIONS

Mask-wearing in the wake of COVID-19 brings new challenges to our ability to communicate and perceive emotion through full facial expression, our most effective and universally shared form of communication, and BTX may offer a positive solution to decrease negative emotions and promote well-being for both the mask-wearer and all who come in contact with that individual.

Best Practice Guidelines for the Management of Acute Craniomaxillofacial Trauma During the COVID-19 Pandemic

Coronavirus disease 2019 (COVID-19) is an infectious disease that is caused by severe respiratory syndrome coronavirus 2. Although elective surgical procedures are being cancelled in many parts of the world during the COVID-19 pandemic, acute craniomaxillofacial (CMF) trauma will continue to occur and will need to be appropriately managed. Surgical procedures involving the nasal, oral, or pharyngeal mucosa carry a high risk of transmission due to aerosolization of the virus which is known to be in high concentration in these areas. Intraoperative exposure to high viral loads through aerosolization carries a very high risk of transmission, and the severity of the disease contracted in this manner is worse than that transmitted through regular community transmission. This places surgeons operating in the CMF region at particularly high risk during the pandemic. There is currently a paucity of information to delineate the best practice for the management of acute CMF trauma during the COVID-19 pandemic. In particular, a clear protocol describing optimal screening, timing of intervention and choice of personal protective equipment, is needed. The authors have proposed an algorithm for management of CMF trauma during the COVID-19 pandemic to ensure that urgent and emergent CMF injuries are addressed appropriately while optimizing the safety of surgeons and other healthcare providers. The algorithm is based on available evidence at the time of writing. As the COVID-19 pandemic continues to evolve and more evidence and better testing becomes available, the algorithm should be modified accordingly.

In silico analysis of protein/peptide-based inhalers against SARS-CoV-2

Aim: Peptide/protein-based inhalers are excessively used to treat respiratory disorders. The molecular docking was performed for these inhalers including human neutralizing S230 light chain-antibody (monoclonal antibodies [mAbs]), alpha-1-antitrypsin (AAT), short-palate-lung and nasal-epithelial clone-1-derived peptides (SPLUNC1) and dornase-alfa (DA) against spike glycoprotein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to assess their inhibitory activity. Materials & methods: HawkDock was used to dock these biologics against SARS-CoV-2 spike-glycoprotein. Results: Results showed that DA, AAT and mAb were quite active against spike glycoprotein with a binding free energy of -26.35 and -22.94 kcal/mol. Conclusion: mAB and AAT combined with DA can be used in the treatment of coronavirus disease of 2019 as a potential anti-SARS-CoV-2 agent.

COVID-19 Pandemic and its Impact on Craniofacial Surgery

In late 2019, a novel coronavirus strain, SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), also known as coronavirus disease 2019 (COVID-19), triggered a global pandemic as the virus spread from the Wuhan Province, China, across all continents. Although infrequent, severe respiratory infection and death caused by SARS-CoV-2 is disproportionately high amongst healthcare providers such as craniofacial surgeons who work in the head and neck region. Factors this impact SARS-CoV-2 transmission include: (1) high viral loads in the mucosa of the oral and nasopharynx, (2) limited and/or imprecise disease screening/confirmation testing, (3) access to and appropriate use of personal protective equipment (PPE).

Engineering photonics solutions for COVID-19

As the impact of COVID-19 on society became apparent, the engineering and scientific community recognized the need for innovative solutions. Two potential roadmaps emerged: developing short-term solutions to address the immediate needs of the healthcare communities and developing mid/long-term solutions to eliminate the over-arching threat. However, in a truly global effort, researchers from all backgrounds came together in tackling this challenge. Short-term efforts have focused on re-purposing existing technologies and leveraging additive manufacturing techniques to address shortages in personal protective equipment and disinfection. More basic research efforts with mid-term and long-term impact have emphasized developing novel diagnostics and accelerating vaccines. As a foundational technology, photonics has contributed directly and indirectly to all efforts. This perspective will provide an overview of the critical role that the photonics field has played in efforts to combat the immediate COVID-19 pandemic as well as how the photonics community could anticipate contributing to future pandemics of this nature.

Interventions for treatment of COVID-19: A living systematic review with meta-analyses and trial sequential analyses (The LIVING Project)

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a rapidly spreading disease that has caused extensive burden to individuals, families, countries, and the world. Effective treatments of COVID-19 are urgently needed.

METHODS AND FINDINGS

This is the first edition of a living systematic review of randomized clinical trials comparing the effects of all treatment interventions for participants in all age groups with COVID-19. We planned to conduct aggregate data meta-analyses, trial sequential analyses, network meta-analysis, and individual patient data meta-analyses. Our systematic review is based on Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and Cochrane guidelines, and our 8-step procedure for better validation of clinical significance of meta-analysis results. We performed both fixed-effect and random-effects meta-analyses. Primary outcomes were all-cause mortality and serious adverse events. Secondary outcomes were admission to intensive care, mechanical ventilation, renal replacement therapy, quality of life, and nonserious adverse events. We used Grading of Recommendations Assessment, Development and Evaluation (GRADE) to assess the certainty of evidence. We searched relevant databases and websites for published and unpublished trials until August 7, 2020. Two reviewers independently extracted data and assessed trial methodology. We included 33 randomized clinical trials enrolling a total of 13,312 participants. All trials were at overall high risk of bias. We identified one trial randomizing 6,425 participants to dexamethasone versus standard care. This trial showed evidence of a beneficial effect of dexamethasone on all-cause mortality (rate ratio 0.83; 95% confidence interval [CI] 0.75-0.93; p < 0.001; low certainty) and on mechanical ventilation (risk ratio [RR] 0.77; 95% CI 0.62-0.95; p = 0.021; low certainty). It was possible to perform meta-analysis of 10 comparisons. Meta-analysis showed no evidence of a difference between remdesivir versus placebo on all-cause mortality (RR 0.74; 95% CI 0.40-1.37; p = 0.34, I2 = 58%; 2 trials; very low certainty) or nonserious adverse events (RR 0.94; 95% CI 0.80-1.11; p = 0.48, I2 = 29%; 2 trials; low certainty). Meta-analysis showed evidence of a beneficial effect of remdesivir versus placebo on serious adverse events (RR 0.77; 95% CI 0.63-0.94; p = 0.009, I2 = 0%; 2 trials; very low certainty) mainly driven by respiratory failure in one trial. Meta-analyses and trial sequential analyses showed that we could exclude the possibility that hydroxychloroquine versus standard care reduced the risk of all-cause mortality (RR 1.07; 95% CI 0.97-1.19; p = 0.17; I2 = 0%; 7 trials; low certainty) and serious adverse events (RR 1.07; 95% CI 0.96-1.18; p = 0.21; I2 = 0%; 7 trials; low certainty) by 20% or more, and meta-analysis showed evidence of a harmful effect on nonserious adverse events (RR 2.40; 95% CI 2.01-2.87; p < 0.00001; I2 = 90%; 6 trials; very low certainty). Meta-analysis showed no evidence of a difference between lopinavir-ritonavir versus standard care on serious adverse events (RR 0.64; 95% CI 0.39-1.04; p = 0.07, I2 = 0%; 2 trials; very low certainty) or nonserious adverse events (RR 1.14; 95% CI 0.85-1.53; p = 0.38, I2 = 75%; 2 trials; very low certainty). Meta-analysis showed no evidence of a difference between convalescent plasma versus standard care on all-cause mortality (RR 0.60; 95% CI 0.33-1.10; p = 0.10, I2 = 0%; 2 trials; very low certainty). Five single trials showed statistically significant results but were underpowered to confirm or reject realistic intervention effects. None of the remaining trials showed evidence of a difference on our predefined outcomes. Because of the lack of relevant data, it was not possible to perform other meta-analyses, network meta-analysis, or individual patient data meta-analyses. The main limitation of this living review is the paucity of data currently available. Furthermore, the included trials were all at risks of systematic errors and random errors.

CONCLUSIONS

Our results show that dexamethasone and remdesivir might be beneficial for COVID-19 patients, but the certainty of the evidence was low to very low, so more trials are needed. We can exclude the possibility of hydroxychloroquine versus standard care reducing the risk of death and serious adverse events by 20% or more. Otherwise, no evidence-based treatment for COVID-19 currently exists. This review will continuously inform best practice in treatment and clinical research of COVID-19.

Convalescent plasma therapy: a promising coronavirus disease 2019 treatment strategy

The world is passing through a very difficult phase due to the coronavirus disease 2019 (COVID-19) pandemic, which has disrupted almost all spheres of life. Globally, according to the latest World Health Organization report (10 August 2020), COVID-19 has affected nearly 20 million lives, causing 728 013 deaths. Due to the lack of specific therapeutic drugs and vaccines, the outbreak of disease has spawned a corpus of contagious infection all over the world, day by day, without control. As the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a very rapid infection rate, it is essential to develop a novel ameliorative and curative strategy as quickly as possible. Convalescent plasma (CP) therapy is a type of adaptive immunity that has already been found to be effective in confronting several infectious diseases from the last two decades. For example, CP therapy was used in the treatment of viral-induced diseases like SARS-CoV epidemics, Middle East respiratory syndrome coronavirus (MERS-CoV) pandemics, Ebola epidemics and H1N1 pandemic. In this review, we have mainly focused on the therapeutic role of CP therapy and its neutralizing effect to fight against the COVID-19 outbreak.

Prepare for the Future: Dissecting the Spike to Seek Broadly Neutralizing Antibodies and Universal Vaccine for Pandemic Coronaviruses

Learning from the lengthy fight against HIV-1, influenza, and Ebola virus infection, broadly neutralizing antibodies (bnAbs), directed at conserved regions of surface proteins crucial to virus entry (Env, hemagglutinin, and GP, respectively), are an essential resource for passive as well as active immunization. Rare in their emergence and antigen recognition mode, bnAbs are active toward a large set of different viral strains. Isolation, characterization and production of bnAbs lead to their possible use in passive immunotherapy and form the basis for an educated effort in the development of vaccines for universal coverage. SARS-CoV-2-specific antibodies targeting the spike receptor binding domain (RBD) may lead to antibody dependent enhancement (ADE) of infection, possibly hampering the field of vaccine development. This perspective points to the identification of conserved regions in the spike of SARS-CoV-2, SARS-CoV, and MERS-CoV through investigation, dissection and recombinant production of isolated moieties. These spike moieties should be capable of independent folding and allow the detection as well as the elicitation of bnAbs, thus setting the basis for an effective passive immunotherapy and the development of a universal vaccine against human epidemic coronaviruses (HCoVs). SARS, MERS and, most of all, COVID-19 demonstrate that humanity is the target of HCoV, preparedness for future hits is thus no longer an option.

Ischaemic stroke in the time of coronavirus disease 2019

BACKGROUND AND PURPOSE

Stroke assistance is facing changes and new challenges since COVID-19 became pandemic. A variation on the patient influx might be one of the greater concerns, due to fewer people coming to emergency departments or coming too late. However, no data quantifying this have been published until now. The aim was to analyse the impact of the COVID-19 epidemic outbreak on hospital stroke admissions and their characteristics in our region.

METHODS

The data of every patient admitted to any hospital of our healthcare system with a diagnosis of ischaemic stroke between 30 December 2019 and 19 April 2020 were reviewed. Demographic and clinical data were recorded and compared between periods before and after the setting of the state of emergency secondary to the COVID-19 outbreak.

RESULTS

In total, 354 patients with ischaemic stroke were admitted in our study period. There was a weekly average of 27.5 cases before the setting of the state of emergency against 12 afterwards (P < 0.001). This drop in stroke cases occurred progressively from week 11, persisting in time despite the decrease in confirmed cases of COVID-19. No differences in the proportion of intravenous thrombolysis (21.1% vs. 21.5%, P = 0.935) or endovascular therapy (12.4% vs. 15.2%, P = 0.510) were found, nor in other demographic or clinical characteristics except for median onset-to-door time (102 vs. 183 min, P = 0.015).

CONCLUSIONS

This observational study offers the perspective of a whole region in one of the countries more heavily stricken by the SARS-CoV-2 epidemic and shows that the decrease of stroke events, since the beginning of the COVID-19 outbreak, happened globally and without any specific patient distribution.

Characteristics of registered studies for Coronavirus disease 2019 (COVID-19): A systematic review

BACKGROUND

The World Health Organization characterized the Coronavirus disease 2019 (COVID-19) as a pandemic on March 11th. Many clinical trials on COVID-19 have been registered, and we aim to review the study characteristics and provide guidance for future trials to avoid duplicated effort.

METHODS

Studies on COVID-19 registered before March 3rd, 2020 on eight registry platforms worldwide were searched and the data of design, participants, interventions, and outcomes were extracted and analyzed.

RESULTS

Three hundred and ninety-three studies were identified and 380 (96.7%) were from mainland China, while 3 in Japan, 3 in France, 2 in the US, and 3 were international collaborative studies. Two hundred and sixty-six (67.7%) aimed at therapeutic effect, others were for prevention, diagnosis, prognosis, etc. Two hundred and two studies (51.4%) were randomized controlled trials. Two third of therapeutic studies tested Western medicines including antiviral drugs (17.7%), stem cell and cord blood therapy (10.2%), chloroquine and derivatives (8.3%), 16 (6.0%) on Chinese medicines, and 73 (27.4%) on integrated therapy of Western and Chinese medicines. Thirty-one studies among 266 therapeutic studies (11.7%) used mortality as primary outcome, while the most designed secondary outcomes were symptoms and signs (47.0%). Half of the studies (45.5%) had not started recruiting till March 3rd.

CONCLUSION

Inappropriate outcome setting, delayed recruitment and insufficient numbers of new cases in China implied many studies may fail to complete. Strategies and protocols of the studies with robust and rapid data sharing are warranted for emergency public health events, helping the timely evidence-based decision-making.

Cardiac injury is associated with severe outcome and death in patients with Coronavirus disease 2019 (COVID-19) infection: A systematic review and meta-analysis of observational studies

Coronavirus disease 2019 (COVID-19) is a global pandemic impacting 213 countries/territories and more than 5,934,936 patients worldwide. Cardiac injury has been reported to occur in severe and death cases. This meta-analysis was done to summarize available findings on the association between cardiac injury and severity of COVID-19 infection. Online databases including Scopus, PubMed, Web of Science, Cochrane Library and Google Scholar were searched to detect relevant publications up to 20 May 2020, using relevant keywords. To pool data, a fixed- or random-effects model was used depending on the heterogeneity between studies. In total, 22 studies with 3684 COVID-19 infected patients (severe cases=1095 and death cases=365) were included in this study. Higher serum levels of lactate dehydrogenase (weighted mean difference (WMD) =108.86 U/L, 95% confidence interval (CI)=75.93-141.79, p<0.001) and creatine kinase-MB (WMD=2.60 U/L, 95% CI=1.32-3.88, p<0.001) were associated with a significant increase in the severity of COVID-19 infection. Furthermore, higher serum levels of lactate dehydrogenase (WMD=213.44 U/L, 95% CI=129.97-296.92, p<0.001), cardiac troponin I (WMD=26.35 pg/mL, 95% CI=14.54-38.15, p<0.001), creatine kinase (WMD=48.10 U/L, 95% CI=0.27-95.94, p = 0.049) and myoglobin (WMD=159.77 ng/mL, 95% CI=99.54-220.01, p<0.001) were associated with a significant increase in the mortality of COVID-19 infection. Cardiac injury, as assessed by serum analysis (lactate dehydrogenase, cardiac troponin I, creatine kinase (-MB) and myoglobin), was associated with severe outcome and death from COVID-19 infection.

A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic

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Presented a systematic study of Deep Learning (DL), Deep Transfer Learning (DTL) and Edge Computing (EC) to mitigate COVID-19.

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Surveyed on existing DL, DTL, EC, and Dataset to mitigate pandemics with potentialities and challenges.

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Drawn a precedent pipeline model of DTL over EC for a future scope to mitigate any outbreaks.

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Given brief analyses and challenges wherever relevant in perspective of COVID-19.

Global Health sometimes faces pandemics as are currently facing COVID-19 disease. The spreading and infection factors of this disease are very high. A huge number of people from most of the countries are infected within six months from its first report of appearance and it keeps spreading. The required systems are not ready up to some stages for any pandemic; therefore, mitigation with existing capacity becomes necessary. On the other hand, modern-era largely depends on Artificial Intelligence(AI) including Data Science; and Deep Learning(DL) is one of the current flag-bearer of these techniques. It could use to mitigate COVID-19 like pandemics in terms of stop spread, diagnosis of the disease, drug & vaccine discovery, treatment, patient care, and many more. But this DL requires large datasets as well as powerful computing resources. A shortage of reliable datasets of a running pandemic is a common phenomenon. So, Deep Transfer Learning(DTL) would be effective as it learns from one task and could work on another task. In addition, Edge Devices(ED) such as IoT, Webcam, Drone, Intelligent Medical Equipment, Robot, etc. are very useful in a pandemic situation. These types of equipment make the infrastructures sophisticated and automated which helps to cope with an outbreak. But these are equipped with low computing resources, so, applying DL is also a bit challenging; therefore, DTL also would be effective there. This article scholarly studies the potentiality and challenges of these issues. It has described relevant technical backgrounds and reviews of the related recent state-of-the-art. This article also draws a pipeline of DTL over Edge Computing as a future scope to assist the mitigation of any pandemic.

Can COVID 2019 induce a specific cardiovascular damage or it exacerbates pre-existing cardiovascular diseases?

A novel coronavirus SARS-CoV-2 causes acute respiratory distress syndrome (ARDS) with cardiovascular and multiple organ failure till death. The main mechanisms of virus internalization and interaction with the host are down-regulation or upregulation of the ACE2 receptor, the surface glycoprotein competition mechanism for the binding of porphyrin to iron in heme formation as well as interference with the immune system. The interference on renin-angiotensin-aldosterone system (RAAS) activation, heme formation, and the immune response is responsible for infection diffusion, endothelial dysfunction, vasoconstriction, oxidative damage and releasing of inflammatory mediators. The main pathological findings are bilateral interstitial pneumonia with diffuse alveolar damage (DAD). Because ACE receptor is also present in the endothelium of other districts as well as in different cell types, and as porphyrins are transporters in the blood and other biological liquids of iron forming heme, which is important in the assembly of the hemoglobin, myoglobin and the cytochromes, multiorgan damage occurs both primitive and secondary to lung damage. More relevantly, myocarditis, acute myocardial infarction, thromboembolism, and disseminated intravasal coagulation (DIC) are described as complications in patients with poor outcome. Here, we investigated the role of SARSCoV-2 on the cardiovascular system and in patients with cardiovascular comorbidities, and possible drug interference on the heart.

Harnessing the Power of Hospitalists in Operational Disaster Planning: COVID-19

Hospitalists are well poised to serve in key leadership roles and in frontline care in particular when facing a pandemic such as the SARS-CoV-2 (COVID-19) infection. Much of the disaster planning in hospitals around the country addresses overcrowded emergency departments and decompressing these locations; however, in the case of COVID-19, intensive care units, emergency departments, and medical wards ran the risk of being overwhelmed by a large influx of patients needing high-level medical care. In a matter of days, our Division of Hospital Medicine, in partnership with our hospital, health system, and academic institution, was able to modify and deploy existing disaster plans to quickly care for an influx of medically complex patients. We describe a scaled approach to managing hospitalist clinical operations during the COVID-19 pandemic.

Disease-dependent interaction policies to support health and economic outcomes during the COVID-19 epidemic

Lockdowns and stay-at-home orders have partially mitigated the spread of Covid-19. However, the indiscriminate nature of mitigation - applying to all individuals irrespective of disease status - has come with substantial socioeconomic costs. Here, we explore how to leverage the increasing reliability and scale of both molecular and serological tests to balance transmission risks with economic costs involved in responding to Covid-19 epidemics. First, we introduce an optimal control approach that identifies personalized interaction rates according to an individual's test status; such that infected individuals isolate, recovered individuals can elevate their interactions, and activity of susceptible individuals varies over time. Critically, the extent to which susceptible individuals can return to work depends strongly on isolation efficiency. As we show, optimal control policies can yield mitigation policies with similar infection rates to total shutdown but lower socioeconomic costs. However, optimal control policies can be fragile given mis-specification of parameters or mis-estimation of the current disease state. Hence, we leverage insights from the optimal control solutions and propose a feedback control approach based on monitoring of the epidemic state. We utilize genetic algorithms to identify a 'switching' policy such that susceptible individuals (both PCR and serological test negative) return to work after lockdowns insofar as recovered fraction is much higher than the circulating infected prevalence. This feedback control policy exhibits similar performance results to optimal control, but with greater robustness to uncertainty. Overall, our analysis shows that test-driven improvements in isolation efficiency of infectious individuals can inform disease-dependent interaction policies that mitigate transmission while enhancing the return of individuals to pre-pandemic economic activity.

COVID-19 in Patients With Seizures and Epilepsy: Interpretation of Relevant Knowledge of Presenting Signs and Symptoms

There are an increasing number of clinical studies for COVID-19, with several large cohort studies documenting initial signs and symptoms. Realizing the need for current information, this summary provides a focused summary of pertinent clinical diagnostic information about neurological involvement of SARS-CoV-2 virus and clinical presentation of COVID-19, especially in relationship to patients with seizures and epilepsy. There is no evidence from cohort studies in the general population that seizures are worsened in COVID-19. However, relative lack of cohort studies in patients with a history of epileptic seizures limit conclusions about effects of COVID-19 patients with epilepsy. Overall, findings indicate seizures and epilepsy are rare, especially in mild COVID-19 cases, but may occur in more severe cases later in the disease course. Caregivers should be vigilant in assessing for possible seizures, especially in patients with systemic effects of severe COVID-19 infections.

Coronavirus disease 2019: Utilizing an ethical framework for rationing absolutely scarce health-care resources in transplant allocation decisions

The novel coronavirus disease 2019 (COVID-19) is impacting transplant programs around the world, and, as the center of the pandemic shifts to the United States, we have to prepare to make decisions about which patients to transplant during times of constrained resources. In this paper, we discuss how to transition from the traditional justice versus utility consideration in organ allocation to a more nuanced allocation scheme based on ethical values that drive decisions in times of absolute scarcity. We recognize that many decisions are made based on the practical limitations that transplant programs face, especially at the extremes. As programs make the transition from a standard approach to a resource-constrained approach to transplantation, we utilize a framework for ethical decisions in settings of absolutely scarce resources to help guide programs in deciding which patients to transplant, which donors to accept, how to minimize risk, and how to ensure the best utilization of transplant team members.

Children facing natural, economic and public health crisis in Europe: The risks of a predictable unpredictability

This opening article for the volume dedicated to the diversity of paediatric healthcare systems in Europe, discusses the topic of children facing natural, economic, and public health crises in Europe. The natural and economic adversities and public health crises, which have repeatedly stormed the globe during the past twenty years, have often unveiled a low degree of self-sufficiency and a high degree of unpreparedness by European countries. It is always the case that the most vulnerable take the brunt, and these adverse events have shown their effects and a negative direct impact particularly on the population aged 0–18 years, with important implications for families and communities. The article discusses a rational approach to properly confront future public health emergencies and crises in general. The authors stress the concept that such approaches should be built on past negative experiences, in order to explore, identify, and make clear which are the priorities governing the disaster management activities at all levels in this population group. The authors conclude that safeguarding the health of children could be effectively accomplished by developing adequate, shared emergency management strategies. Improving pediatric preparedness approaches with the use of emergency measures and ongoing collaboration will facilitate a better and more efficient response, able to effectively care for the needs of children in actual crises.

Antihyperglycemic properties of hydroxychloroquine in patients with diabetes: Risks and benefits at the time of COVID-19 pandemic

The antimalarial drug hydroxychloroquine (HCQ) has long been used as a disease-modifying antirheumatic drug for the treatment of several inflammatory rheumatic diseases. Over the last three decades, various studies have shown that HCQ also plays a role in the regulation of glucose homeostasis. Although the mechanisms of action underlying the glucose-lowering properties of HCQ are still not entirely clear, evidence suggests that this drug may exert multifaceted effects on glucose regulation, including improvement of insulin sensitivity, increase of insulin secretion, reduction of hepatic insulin clearance, and reduction of systemic inflammation. Preliminary studies have shown the safety and efficacy of HCQ (at a dose ranging from 400 to 600 mg/day) in patients with type 2 diabetes over a short-term period. In 2014, HCQ has been approved in India as an add-on hypoglycemic agent for patients with uncontrolled type 2 diabetes. However, large randomized controlled trials are needed to establish the safety and efficacy profile of HCQ in patients with type 2 diabetes over a long-term period. With regard to the COVID-19 pandemic, several medications (including HCQ) have been used as off-label drugs because of the lack of proven effective therapies. However, emerging evidence shows limited benefit from HCQ use in COVID-19 in general. The aim of this manuscript is to comprehensively summarize the current knowledge on the antihyperglycemic properties of HCQ and to critically evaluate the potential risks and benefits related to HCQ use in patients with diabetes, even in light of the current pandemic scenario.

Population-level COVID-19 mortality risk for non-elderly individuals overall and for non-elderly individuals without underlying diseases in pandemic epicenters

OBJECTIVE

To provide estimates of the relative rate of COVID-19 death in people <65 years old versus older individuals in the general population, the absolute risk of COVID-19 death at the population level during the first epidemic wave, and the proportion of COVID-19 deaths in non-elderly people without underlying diseases in epicenters of the pandemic.

ELIGIBLE DATA

Cross-sectional survey of countries and US states with at least 800 COVID-19 deaths as of April 24, 2020 and with information on the number of deaths in people with age <65. Data were available for 14 countries (Belgium, Canada, France, Germany, India, Ireland, Italy, Mexico, Netherlands, Portugal, Spain, Sweden, Switzerland, UK) and 13 US states (California, Connecticut, Florida, Georgia, Illinois, Indiana, Louisiana, Maryland, Massachusetts, Michigan, New Jersey, New York, Pennsylvania). We also examined available data on COVID-19 deaths in people with age <65 and no underlying diseases.

MAIN OUTCOME MEASURES

Proportion of COVID-19 deaths in people <65 years old; relative mortality rate of COVID-19 death in people <65 versus ≥65 years old; absolute risk of COVID-19 death in people <65 and in those ≥80 years old in the general population as of June 17, 2020; absolute COVID-19 mortality rate expressed as equivalent of mortality rate from driving a motor vehicle.

RESULTS

Individuals with age <65 account for 4.5-11.2% of all COVID-19 deaths in European countries and Canada, 8.3-22.7% in the US locations, and were the majority in India and Mexico. People <65 years old had 30- to 100-fold lower risk of COVID-19 death than those ≥65 years old in 11 European countries and Canada, 16- to 52-fold lower risk in US locations, and less than 10-fold in India and Mexico. The absolute risk of COVID-19 death as of June 17, 2020 for people <65 years old in high-income countries ranged from 10 (Germany) to 349 per million (New Jersey) and it was 5 per million in India and 96 per million in Mexico. The absolute risk of COVID-19 death for people ≥80 years old ranged from 0.6 (Florida) to 17.5 per thousand (Connecticut). The COVID-19 mortality rate in people <65 years old during the period of fatalities from the epidemic was equivalent to the mortality rate from driving between 4 and 82 miles per day for 13 countries and 5 states, and was higher (equivalent to the mortality rate from driving 106-483 miles per day) for 8 other states and the UK. People <65 years old without underlying predisposing conditions accounted for only 0.7-3.6% of all COVID-19 deaths in France, Italy, Netherlands, Sweden, Georgia, and New York City and 17.7% in Mexico.

CONCLUSIONS

People <65 years old have very small risks of COVID-19 death even in pandemic epicenters and deaths for people <65 years without underlying predisposing conditions are remarkably uncommon. Strategies focusing specifically on protecting high-risk elderly individuals should be considered in managing the pandemic.

Endocrine Involvement in COVID-19: Mechanisms, Clinical Features, and Implications for Care

Coronavirus 2019 (COVID -19) has rapidly emerged as a global pandemic with multi-system involvement. Involvement of the endocrine system is expected in COVID-19 as the interplay between severe acute respiratory syndrome corona virus-2 (SARS CoV-2) and the endocrine system occurs at multiple levels. The widespread presence of ACE-2 receptors on various tissues suggests scope for direct viral infection. The interactions via the activation of inflammatory mediators and indirect immune-mediated damage are also postulated. Evidence so far suggests that COVID-19 can cause functional hypopituitarism by direct and indirect effects on the hypothalamo-pituitary axis resulting in inappropriate adrenal response to stress. Several reports highlight possible immune-mediated damage to thyroid glands resulting in subacute thyroiditis. COVID-19 is implicated in precipitating hyperglycemia in known diabetics and uncovering insulin resistance in those previously undiagnosed. COVID-19 has also been shown to trigger Type 1 Diabetes with ketosis. Various mechanisms including direct virus-induced beta cell apoptosis and immune-mediated beta-cell damage have been demonstrated. The presence of virus in semen has unclear clinical significance at present. In this mini-review summarize the endocrine manifestations reported so far in COVID-19 disease and explore mechanisms to decipher how SARS CoV-2 may affect various endocrine organs.

The global effects of Covid-19-induced uncertainty

We estimate a VAR with world-level variables to simulate the effects of the Covid-19 outbreak-related uncertainty shock. We find a peak (cumulative over one year) negative response of world output of 1.6% (14%).

SARS-CoV-2 detection, viral load and infectivity over the course of an infection

OBJECTIVES

To summarise the evidence on the detection pattern and viral load of SARS-CoV-2 over the course of an infection (including any asymptomatic or pre-symptomatic phase), and the duration of infectivity.

METHODS

A systematic literature search was undertaken in PubMed, Europe PubMed Central and EMBASE from 30 December 2019 to 12 May 2020.

RESULTS

We identified 113 studies conducted in 17 countries. The evidence from upper respiratory tract samples suggests that the viral load of SARS-CoV-2 peaks around symptom onset or a few days thereafter, and becomes undetectable about two weeks after symptom onset; however, viral loads from sputum samples may be higher, peak later and persist for longer. There is evidence of prolonged virus detection in stool samples, with unclear clinical significance. No study was found that definitively measured the duration of infectivity; however, patients may not be infectious for the entire duration of virus detection, as the presence of viral ribonucleic acid may not represent transmissible live virus.

CONCLUSION

There is a relatively consistent trajectory of SARS-CoV-2 viral load over the course of COVID-19 from respiratory tract samples, however the duration of infectivity remains uncertain.

The rise and evolution of COVID-19

Coronaviridae (CoV) is a large family of zoonotic viruses linked to a range of diseases from the common cold to severe acute and Middle East respiratory syndrome CoV epidemics. In 2019, a novel virus emerged from Wuhan, China, and resulted in a marked worldwide outbreak of respiratory illness. Prevention and containment became the prioritized intervention against COVID-19, coupled with a continued search for hallmarks of the disease that would allow early detection and provide insight into management and triage. Cutaneous findings associated with COVID-19 include diffuse maculopapular rashes, livedo reticularis, and acro-ischemic "COVID toes." These skin findings occurred anywhere from days before respiratory symptom onset to weeks after recovery, and predominantly in child and adolescent populations. The role of dermatologists can be expanded during this COVID-19 pandemic to help identify disease through cutaneous presentations.