Search

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic led to rapid vaccine development and large global vaccination schemes. However, patients with immune-mediated kidney disease, chronic kidney diseases and kidney transplant recipients show high non-response rates to vaccination despite more than three vaccinations and, consequently, reduced viral clearance capacity when infected while receiving certain immunosuppressants, carrying an elevated risk for coronavirus disease 2019 (COVID-19)-related morbidity and mortality. SARS-CoV-2 evolution has been characterized by the emergence of novel variants and spike mutations contributing to waning efficacy of neutralizing antibodies. To this end, the therapeutic field expands from vaccination towards a combined approach of immunization, pre-exposure prophylaxis and early post-exposure treatment using direct-acting antivirals and neutralizing monoclonal antibodies to treat early in the disease course and avoid hospitalization. This expert opinion paper from the Immunonephrology Working Group of the European Renal Association (ERA-IWG) summarizes available prophylactic and/or early treatment options (i.e. neutralizing monoclonal antibodies and direct-acting antivirals) of SARS-CoV-2-infected patients with immune-mediated kidney disease, chronic kidney disease and kidney transplant recipients. [ABSTRACT FROM AUTHOR]

The coronavirus disease 2019 (COVID-19) pandemic, caused by the coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has created an unprecedented threat to public health. The pandemic has been sweeping the globe, impacting more than 200 countries, with more outbreaks still lurking on the horizon. At the time of the writing, no approved drugs or vaccines are available to treat COVID-19 patients, prompting an urgent need to decipher mechanisms underlying the pathogenesis and develop curative treatments. To fight COVID-19, researchers around the world have provided specific tools and molecular information for SARS-CoV-2. These pieces of information can be integrated to aid computational investigations and facilitate clinical research. This paper reviews current knowledge, the current status of drug development and various resources for key steps toward effective treatment of COVID-19, including the phylogenetic characteristics, genomic conservation and interaction data. The final goal of this paper is to provide information that may be utilized in bioinformatics approaches and aid target prioritization and drug repurposing. Several SARS-CoV-2-related tools/databases were reviewed, and a web-portal named OverCOVID (http://bis.zju.edu.cn/overcovid/) is constructed to provide a detailed interpretation of SARS-CoV-2 basics and share a collection of resources that may contribute to therapeutic advances. These information could improve researchers' understanding of SARS-CoV-2 and help to accelerate the development of new antiviral treatments. [ABSTRACT FROM AUTHOR]

I noticed a recently published paper named 'Is acupuncture effective in the treatment of COVID-19 related symptoms? Based on bioinformatics/network topology strategy' with great interest. I am inspired and also have some doubts, which are mainly about the active compounds of acupuncture treating COVID-19. The authors choose only two active compounds, which remains to be elucidated clearly with some criteria description. The 11 300 disease targets of COVID-19 were screened using the terms like the related symptoms, which might be other diseases' manifestations. So the better legends of Figures and Tables should be the terms like COVID-19-related symptoms, instead of COVID-19. [ABSTRACT FROM AUTHOR]

Acupuncture is an important part of Chinese medicine that has been widely used in the treatment of inflammatory diseases. During the coronavirus disease 2019 (COVID-19) epidemic, acupuncture has been used as a complementary treatment for COVID-19 in China. However, the underlying mechanism of acupuncture treatment of COVID-19 remains unclear. Based on bioinformatics/topology, this paper systematically revealed the multi-target mechanisms of acupuncture therapy for COVID-19 through text mining, bioinformatics, network topology, etc. Two active compounds produced after acupuncture and 180 protein targets were identified. A total of 522 Gene Ontology terms related to acupuncture for COVID-19 were identified, and 61 pathways were screened based on the Kyoto Encyclopedia of Genes and Genomes. Our findings suggested that acupuncture treatment of COVID-19 was associated with suppression of inflammatory stress, improving immunity and regulating nervous system function, including activation of neuroactive ligand–receptor interaction, calcium signaling pathway, cancer pathway, viral carcinogenesis, Staphylococcus aureus infection, etc. The study also found that acupuncture may have additional benefits for COVID-19 patients with cancer, cardiovascular disease and obesity. Our study revealed for the first time the multiple synergistic mechanisms of acupuncture on COVID-19. Acupuncture may play an active role in the treatment of COVID-19 and deserves further promotion and application. These results may help to solve this pressing problem currently facing the world. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) has spread rapidly throughout the globe. The spectrum of disease is broad but among hospitalized patients with COVID-19, respiratory failure from acute respiratory distress syndrome is the leading cause of mortality. There is an urgent need for an effective treatment. The current focus has been developing novel therapeutics, including antivirals, protease inhibitors, vaccines and targeting the overactive cytokine response with anti-cytokine therapy. The overproduction of early response proinflammatory cytokines results in what has been described as a "cytokine storm" is leading eventually to death when the cells fail to terminate the inflammatory response. Accumulating evidence shows that inflammatory cytokines induce selectin ligands that play a crucial role in the pathogenesis of inflammatory diseases by mediating leukocyte migration from the blood into the tissue. Thus, the selectins and selectin ligands represent a promising therapeutic target for the treatment of COVID-19. In this paper, potential pan-selectin inhibitors were identified employing a virtual screening using a docking procedure. For this purpose, the Asinex and ZINC databases of ligands, including approved drugs, biogenic compounds and glycomimetics, altogether 923,602 compounds, were screened against the P-, L- and E-selectin. At first, the experimentally confirmed inhibitors were docked into all three selectins' carbohydrate recognition domains to assess the suitability of the screening procedure. Finally, based on the evaluation of ligands binding, we propose 10 purchasable pan-selectin inhibitors to develop COVID-19 therapeutics. [ABSTRACT FROM AUTHOR]

This study describes decentralized recruitment and enrollment for a COVID-19 treatment trial, while comparing 5 primary recruitment methods: search engine ads, paid advertising within a national testing company, paid advertising within a regional testing company, electronic health record messages, and word of mouth. These are compared across patient demographics, efficiency, and cost. Clinical Trials Registration NCT04510194. [ABSTRACT FROM AUTHOR]

Dear Editor, We would like to thank Dr Kounis and his colleagues for taking interest in our paper and providing their valuable opinion.[1] In his letter, Dr Kounis highlights the possible use of corticosteroids in mild COVID-19. Google Scholar Crossref Search ADS PubMed WorldCat 6 Sarda R, Swain S, Ray A, Wig N. COVID-19 associated mucormycosis and evolving evidence. [Extracted from the article]

Background: The families of healthcare professionals are one of the most vulnerable groups whose lives have been severely damaged by the COVID-19 pandemic. So far, the experiences and perceptions of these individuals have not been explored. The present study aims to investigate the experiences and perceptions of the family members of the healthcare professionals during COVID-19.Methods: The present study is a qualitative research with a phenomenological design. The participants were 25 family members of healthcare professionals which were selected from the medical centres in Iran via purposeful sampling from August 2021 to October 2021. The sampling was kept on until the data became saturated. To collect data, individual semi-structured interviews were conducted online. The Colaizzi approach was used to analyse the data collected.Results: The findings of the study emerged as two main themes: psychological tension with five categories (indescribable fear and worry, longing to see their loved ones, patient stone, bitter farewell, fear of the future) and dignity with four categories (acclamation, appreciation, feeling proud, spiritual growth).Conclusion: During the COVID-19 pandemic, the family members of healthcare professionals have experienced dignity combined with the degrees of psychological tension which were beyond the experiences of the majority of people in the society, but similar to the psychological tension experienced by the families of COVID-19 victims. The families of healthcare workers are continuously anxious about the safety of their loved ones who are responsible to obtain the treatment of COVID-19 patients, which potentially jeopardizes their physical and psychological well-being. Therefore, the appreciation and support of people in the community of the family members of healthcare professionals have increased their tolerance. Healthcare providers can successfully promote the health of healthcare professionals' families by providing comprehensive assistance to healthcare personnel and their families. [ABSTRACT FROM AUTHOR]

Background Coronavirus disease 2019 (COVID-19) has spurred a boom in uncovering repurposable existing drugs. Drug repurposing is a strategy for identifying new uses for approved or investigational drugs that are outside the scope of the original medical indication. Motivation Current works of drug repurposing for s evere a cute r espiratory s yndrome c or o na v irus 2 (SARS-CoV-2) are mostly limited to only focusing on chemical medicines, analysis of single drug targeting single SARS-CoV-2 protein, one-size-fits-all strategy using the same treatment (same drug) for different infected stages of SARS-CoV-2. To dilute these issues, we initially set the research focusing on herbal medicines. We then proposed a heterogeneous graph embedding method to signaled candidate repurposing herbs for each SARS-CoV-2 protein, and employed the variational graph convolutional network approach to recommend the precision herb combinations as the potential candidate treatments against the specific infected stage. Method We initially employed the virtual screening method to construct the 'Herb-Compound' and 'Compound-Protein' docking graph based on 480 herbal medicines, 12,735 associated chemical compounds and 24 SARS-CoV-2 proteins. Sequentially, the 'Herb-Compound-Protein' heterogeneous network was constructed by means of the metapath-based embedding approach. We then proposed the heterogeneous-information-network-based graph embedding method to generate the candidate ranking lists of herbs that target structural, nonstructural and accessory SARS-CoV-2 proteins, individually. To obtain precision synthetic effective treatments forvarious COVID-19 infected stages, we employed the variational graph convolutional network method to generate candidate herb combinations as the recommended therapeutic therapies. Results There were 24 ranking lists, each containing top-10 herbs, targeting 24 SARS-CoV-2 proteins correspondingly, and 20 herb combinations were generated as the candidate-specific treatment to target the four infected stages. The code and supplementary materials are freely available at https://github.com/fanyang-AI/TCM-COVID19. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) is a global pandemic and there is an urgent need to discover the therapy for COVID-19. In our original article, we first obtained the target proteins of acupuncture and related target genes of COVID-19 by searching English and Chinese databases, then Gene Ontology biological processes and enrichment analysis were performed on the overlapping targets of acupuncture with COVID-19. Moreover, the compound-target and compound-disease-target network was constructed. This is an innovative attempt to predict the potential benefits of acupuncture treatment for COVID-19. In this letter, we answered reader Zheng's comments. [ABSTRACT FROM AUTHOR]

Background Severely ill people with coronavirus disease 2019 (COVID-19) are at risk of acute kidney injury treated with renal replacement therapy (AKI-RRT). The understanding of the risk factors and outcomes for AKI-RRT is incomplete. Methods We prospectively collected data on the incidence, demographics, area of residence, time course, outcomes and associated risk factors for all COVID-19 AKI-RRT cases during the first two waves of the pandemic in Ontario, Canada. Results There were 271 people with AKI-RRT, representing 0.1% of all diagnosed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases. These included 10% of SARS-CoV-2 admissions to intensive care units (ICU). Median age was 65 years, with 11% <50 years, 76% were male, 47% non-White and 48% had diabetes. Overall, 59% resided in the quintile of Ontario neighborhoods with the greatest ethnocultural composition and 51% in the two lowest income quintile neighborhoods. Mortality was 58% at 30 days after RRT initiation, and 64% at 90 days. By 90 days, 20% of survivors remained RRT-dependent and 31% were still hospitalized. On multivariable analysis, people aged >70 years had higher mortality (odds ratio 2.4, 95% confidence interval 1.3, 4.6). Cases from the second versus the first COVID-19 wave were older, had more baseline comorbidity and were more likely to initiate RRT  >2 weeks after SARS-CoV-2 diagnosis (34% versus 14%; P < 0.001). Conclusions AKI-RRT is common in COVID-19 ICU admissions. Residency in areas with high ethnocultural composition and lower socioeconomic status are strong risk factors. Late-onset AKI-RRT was more common in the second wave. Mortality is high and 90-day survivors have persisting high morbidity. [ABSTRACT FROM AUTHOR]

Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is the causative agent of coronavirus disease‐2019 (COVID‐19), a respiratory disease that varies in severity from mild to severe/fatal. Several risk factors for severe disease have been identified, notably age, male sex, and pre‐existing conditions such as diabetes, obesity, and hypertension. Several advancements in clinical care have been achieved over the past year, including the use of corticosteroids (e.g., corticosteroids) and other immune‐modulatory treatments that have now become standard of care for patients with acute severe COVID‐19. While the understanding of the mechanisms that underlie increased disease severity with age has improved over the past few months, it remains incomplete. Furthermore, the molecular impact of corticosteroid treatment on host response to acute SARS‐CoV‐2 infection has not been investigated. In this study, a cross‐sectional and longitudinal analysis of Ab, soluble immune mediators, and transcriptional responses in young (65 ≤ years) and aged (≥ 65 years) diabetic males with obesity hospitalized with acute severe COVID‐19 was conducted. Additionally, the transcriptional profiles in samples obtained before and after corticosteroids became standard of care were compared. The analysis indicates that severe COVID‐19 is characterized by robust Ab responses, heightened systemic inflammation, increased expression of genes related to inflammatory and pro‐apoptotic processes, and reduced expression of those important for adaptive immunity regardless of age. In contrast, COVID‐19 patients receiving steroids did not show high levels of systemic immune mediators and lacked transcriptional indicators of heightened inflammatory and apoptotic responses. Overall, these data suggest that inflammation and cell death are key drivers of severe COVID‐19 pathogenesis in the absence of corticosteroid therapy. [ABSTRACT FROM AUTHOR]

Motivation A global effort is underway to identify compounds for the treatment of COVID-19. Since de novo compound design is an extremely long, time-consuming and expensive process, efforts are underway to discover existing compounds that can be repurposed for COVID-19 and new viral diseases. We propose a machine learning representation framework that uses deep learning induced vector embeddings of compounds and viral proteins as features to predict compound-viral protein activity. The prediction model in-turn uses a consensus framework to rank approved compounds against viral proteins of interest. Results Our consensus framework achieves a high mean Pearson correlation of 0.916, mean R2 of 0.840 and a low mean squared error of 0.313 for the task of compound-viral protein activity prediction on an independent test set. As a use case, we identify a ranked list of 47 compounds common to three main proteins of SARS-COV-2 virus (PL-PRO, 3CL-PRO and Spike protein) as potential targets including 21 antivirals, 15 anticancer, 5 antibiotics and 6 other investigational human compounds. We perform additional molecular docking simulations to demonstrate that majority of these compounds have low binding energies and thus high binding affinity with the potential to be effective against the SARS-COV-2 virus. Availability and implementation All the source code and data is available at: https://github.com/raghvendra5688/Drug-Repurposing and https://dx.doi.org/10.17632/8rrwnbcgmx.3. We also implemented a web-server at: https://machinelearning-protein.qcri.org/index.html. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Background Monoclonal antibodies (mAbs) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are a promising treatment for limiting the progression of coronavirus disease 2019 (COVID-19) and decreasing strain on hospitals. Their use, however, remains limited, particularly in disadvantaged populations. Methods Electronic health records were reviewed from SARS-CoV-2 patients at a single medical center in the United States that initiated mAb infusions in January 2021 with the support of the US Department of Health and Human Services' National Disaster Medical System. Patients who received mAbs were compared with untreated patients from the time period before mAb availability who met eligibility criteria for mAb treatment. We used logistic regression to measure the effect of mAb treatment on the risk of hospitalization or emergency department (ED) visit within 30 days of laboratory-confirmed COVID-19. Results Of 598 COVID-19 patients, 270 (45%) received bamlanivimab and 328 (55%) were untreated. Two hundred thirty-one patients (39%) were Hispanic. Among treated patients, 5/270 (1.9%) presented to the ED or required hospitalization within 30 days of a positive SARS-CoV-2 test, compared with 39/328 (12%) untreated patients (P  < .001). After adjusting for age, gender, and comorbidities, the risk of ED visit or hospitalization was 82% lower in mAb-treated patients compared with untreated patients (95% CI, 56%–94%). Conclusions In this diverse, real-world COVID-19 patient population, mAb treatment significantly decreased the risk of subsequent ED visit or hospitalization. Broader treatment with mAbs, including in disadvantaged patient populations, can decrease the burden on hospitals and should be facilitated in all populations in the United States to ensure health equity. [ABSTRACT FROM AUTHOR]

Background Interleukin-6 inhibitors showed promising results in observational trials of patients with coronavirus disease 2019 (COVID-19). Aim To evaluate whether interleukin-6 inhibitor tocilizumab (TCZ) reduces mortality among hospitalized COVID-19 patients. Design A systematic review and meta-analysis. Methods Systematic review and meta-analysis of randomized controlled trials (RCTs) comparing TCZ vs. placebo/control, for treatment of adults with COVID-19. Primary outcome was 28–30 days all-cause mortality. Search was conducted up to 1 April 2021. Two independent reviewers screened citations, extracted data and assessed risk of bias. Relative risk (RR) with 95% confidence intervals (CI) were pooled. We performed subgroup analysis for patients with critical illness and sensitivity analyses. Results Eight RCTs were included, assessing 6481 patients with mostly severe non-critical COVID-19 infection. TCZ was associated with a reduction in all-cause 28–30-day mortality compared to placebo/control (RR = 0.89, 95% CI 0.82–0.96). Among the subgroup of critically ill patients no reduced mortality was demonstrated (RR = 0.94, 95% CI 0.74–1.19). No mortality benefit with TCZ was demonstrated in trials that used steroids for >80% of patients. TCZ was associated with significantly reduced risk for mechanical ventilation (MV); for combined endpoint of death or MV and for intensive care unit (ICU) admission. No significant difference in adverse events was demonstrated. Risk of serious superinfection was significantly lower with TCZ (RR = 0.57, 95% CI 0.35–0.93). Conclusion The treatment with TCZ reduces 28–30 days all-cause mortality, ICU admission, superinfections, MV and the combined endpoint of death or MV. Among critically ill patients, and when steroids were used for most patients, no mortality benefit was demonstrated. Additional research should further define sub-groups that would benefit most and preferred timing of administration of TCZ in severe COVID-19. [ABSTRACT FROM AUTHOR]

Emergency authorized coronavirus disease 2019 (COVID-19)–neutralizing monoclonal antibodies can aid outpatients with mild to moderate COVID-19 infection. Many report barriers to adequate distribution and uptake. We present our model for distribution in a large health system as well as early lessons learned. [ABSTRACT FROM AUTHOR]

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel virus of the family Coronaviridae. The virus causes the infectious disease COVID-19. The biology of coronaviruses has been studied for many years. However, bioinformatics tools designed explicitly for SARS-CoV-2 have only recently been developed as a rapid reaction to the need for fast detection, understanding and treatment of COVID-19. To control the ongoing COVID-19 pandemic, it is of utmost importance to get insight into the evolution and pathogenesis of the virus. In this review, we cover bioinformatics workflows and tools for the routine detection of SARS-CoV-2 infection, the reliable analysis of sequencing data, the tracking of the COVID-19 pandemic and evaluation of containment measures, the study of coronavirus evolution, the discovery of potential drug targets and development of therapeutic strategies. For each tool, we briefly describe its use case and how it advances research specifically for SARS-CoV-2. All tools are free to use and available online, either through web applications or public code repositories. Contact: evbc@unj-jena.de [ABSTRACT FROM AUTHOR]

Objective Coronavirus disease 2019 (COVID-19) is a fatal and fast-spreading viral infection. To date, the number of COVID-19 patients worldwide has crossed over six million with over three hundred and seventy thousand deaths (according to the data from World Health Organization; updated on 2 June 2020). Although COVID-19 can be rapidly diagnosed, efficient clinical treatment of COVID-19 remains unavailable, resulting in high fatality. Some clinical trials have identified vitamin C (VC) as a potent compound pneumonia management. In addition, glycyrrhizic acid (GA) is clinically as an anti-inflammatory medicine against pneumonia-induced inflammatory stress. We hypothesized that the combination of VC and GA is a potential option for treating COVID-19. Methods The aim of this study was to determine pharmacological targets and molecular mechanisms of VC + GA treatment for COVID-19, using bioinformational network pharmacology. Results We uncovered optimal targets, biological processes and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of VC + GA against COVID-19. Our findings suggested that combinatorial VC and GA treatment for COVID-19 was associated with elevation of immunity and suppression of inflammatory stress, including activation of the T cell receptor signaling pathway, regulation of Fc gamma R-mediated phagocytosis, ErbB signaling pathway and vascular endothelial growth factor signaling pathway. We also identified 17 core targets of VC + GA, which suggest as antimicrobial function. Conclusions For the first time, our study uncovered the pharmacological mechanism underlying combined VC and GA treatment for COVID-19. These results should benefit efforts to address the most pressing problem currently facing the world. [ABSTRACT FROM AUTHOR]

Background Chronic kidney disease (CKD) and immunosuppression, such as in renal transplantation (RT), stand as one of the established potential risk factors for severe coronavirus disease 2019 (COVID-19). Case morbidity and mortality rates for any type of infection have always been much higher in CKD, haemodialysis (HD) and RT patients than in the general population. A large study comparing COVID-19 outcome in moderate to advanced CKD (Stages 3–5), HD and RT patients with a control group of patients is still lacking. Methods We conducted a multicentre, retrospective, observational study, involving hospitalized adult patients with COVID-19 from 47 centres in Turkey. Patients with CKD Stages 3–5, chronic HD and RT were compared with patients who had COVID-19 but no kidney disease. Demographics, comorbidities, medications, laboratory tests, COVID-19 treatments and outcome [in-hospital mortality and combined in-hospital outcome mortality or admission to the intensive care unit (ICU)] were compared. Results A total of 1210 patients were included [median age, 61 (quartile 1–quartile 3 48–71) years, female 551 (45.5%)] composed of four groups: control (n = 450), HD (n = 390), RT (n = 81) and CKD (n = 289). The ICU admission rate was 266/1210 (22.0%). A total of 172/1210 (14.2%) patients died. The ICU admission and in-hospital mortality rates in the CKD group [114/289 (39.4%); 95% confidence interval (CI) 33.9–45.2; and 82/289 (28.4%); 95% CI 23.9–34.5)] were significantly higher than the other groups: HD = 99/390 (25.4%; 95% CI 21.3–29.9; P < 0.001) and 63/390 (16.2%; 95% CI 13.0–20.4; P < 0.001); RT = 17/81 (21.0%; 95% CI 13.2–30.8; P = 0.002) and 9/81 (11.1%; 95% CI 5.7–19.5; P = 0.001); and control = 36/450 (8.0%; 95% CI 5.8–10.8; P < 0.001) and 18/450 (4%; 95% CI 2.5–6.2; P < 0.001). Adjusted mortality and adjusted combined outcomes in CKD group and HD groups were significantly higher than the control group [hazard ratio (HR) (95% CI) CKD: 2.88 (1.52–5.44); P = 0.001; 2.44 (1.35–4.40); P = 0.003; HD: 2.32 (1.21–4.46); P = 0.011; 2.25 (1.23–4.12); P = 0.008), respectively], but these were not significantly different in the RT from in the control group [HR (95% CI) 1.89 (0.76–4.72); P = 0.169; 1.87 (0.81–4.28); P = 0.138, respectively]. Conclusions Hospitalized COVID-19 patients with CKDs, including Stages 3–5 CKD, HD and RT, have significantly higher mortality than patients without kidney disease. Stages 3–5 CKD patients have an in-hospital mortality rate as much as HD patients, which may be in part because of similar age and comorbidity burden. We were unable to assess if RT patients were or were not at increased risk for in-hospital mortality because of the relatively small sample size of the RT patients in this study. [ABSTRACT FROM AUTHOR]

In this article, we explain why profit-driven models for developing treatments for epidemic pathogens produce sub-optimal and sometimes negative public health outcomes. Using the example of the drug remdesivir, we demonstrate how the divergence of private incentives from public health needs has led to such outcomes during the COVID-19 pandemic. We conclude that policy responses to this and future pandemics ought to be conceived and designed in ways that narrow the divergence of private interests from public health needs, including through greater public-sector involvement in pharmaceutical R&D. [ABSTRACT FROM AUTHOR]

The coronavirus disease 2019 (COVID-19) public health emergency has amplified both the potential value and the challenges with healthcare providers deploying telehealth solutions. As people across the country find ways to stay at home, telehealth preserves an opportunity to obtain necessary healthcare services. Further, telehealth can help individuals avoid COVID-19 infection, free up hospital beds and other resources for those patients most in need, and prevent infected individuals from spreading that infection. Federal and state regulators have recognized this potential of telehealth and have quickly changed a variety of laws and regulations to enable healthcare providers to deploy solutions quickly. These changes can provide lasting benefits for the use of telehealth well after the current crisis. However, to best realize telehealth's benefits, further legal and regulatory actions are necessary. Specifically, lawmakers and regulators should focus on six areas: reimbursement, privacy/cybersecurity, liability, licensure, technology access, and artificial intelligence. [ABSTRACT FROM AUTHOR]

Although additional experiments and clinical studies are required to confirm this hypothesis, we hope that hydrogen therapy would provide an emerging and good option for the currently limited prevention and treatment strategy of COVID-19. High IL-6 level had also been found closely correlated with the incidence of detectable serum severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load and the vital signs of coronavirus disease 2019 (COVID-19) patients. 7,8 We hypothesize that hydrogen therapy may be as an effective and novel adjuvant treatment against COVID-19, and exhibit the beneficial potential to prevent COVID-19-associated cytokine storm and multiple organ damage through following multiple mechanisms. [Extracted from the article]