Kawasaki Disease in the Time of COVID-19 and MIS-C - The International Kawasaki Disease Registry.

BACKGROUND: Patients with Multisystem Inflammatory Syndrome in Children (MIS-C) and Kawasaki disease (KD) have overlapping clinical features. We compared demographics/clinical presentation, management, and outcomes of patients by evidence of prior SARS-CoV-2 infection. METHODS: The International KD Registry (IKDR) enrolled KD and MIS-C patients from sites from North, Central and South America, Europe, Asia and Middle East. Evidence of prior infection was defined as: Positive (+ve household contact or positive PCR/serology), Possible (suggestive clinical features of MIS-C and/or KD with negative PCR or serology but not both), Negative (negative PCR and serology and no known exposure), and Unknown (incomplete testing and no known exposure). RESULTS: Of 2345 enrolled patients SARS-CoV-2 status was Positive for 1541 (66%) patients, Possible 89 (4%), Negative 404 (17%) and Unknown for 311 (13%) patients. Clinical outcomes varied significantly between the groups, with more patients in the Positive/Possible groups presenting with shock, having admission to Intensive Care, receiving inotropic support, and having longer hospital stays. Regarding cardiac abnormalities, patients in the Positive/Possible groups had a higher prevalence of left ventricular dysfunction, while patients in the Negative and Unknown groups had more severe coronary artery abnormalities. results CONCLUSION: : There appears to be a spectrum of clinical features from MIS-C to KD with a great deal of heterogeneity, and one primary differentiating factor is evidence for prior acute SARS CoV2 infection/exposure. SARS-CoV-2 Positive/Possible patients had more severe presentations and required more intensive management, with a greater likelihood of ventricular dysfunction but less severe coronary artery adverse outcomes, in keeping with MIS-C.

Genetic Predisposition to a Vascular Catastrophe: Does It Affect Severe COVID-19?

Introduction. Targeted at the hemostatic system and the vascular endothelium, COVID-19 triggers the pathogenetic cascade of disorders in these systems. This cascade leads to the cerebral infarction, significant aggravation of other neurovas-cular diseases and neurological disorders, which requires an in-depth study. Objective: to identify the impact of factors selected among 21 candidate genes and metabolic markers on disease severity and the probability of death from SARS-CoV-2 infection in patients with a history of ischemic stroke (IS) and apparently healthy participants. Materials and Methods. We analyzed genetic, clinical, and laboratory findings in 85 patients with IS occurred at least one year before the study. During the first stage, participants were divided into three groups: Group 1 — 25 patients with a history of IS and COVID-19 at least one year prior to the study;Group 2 — 35 patients with IS history and no clinical manifestations or known COVID-19 history at baseline;and Group 3 — 20 apparently healthy participants as controls who had no clinical manifestations or information about a positive test for COVID-19 at baseline (November 2021). During the second stage, a new Group 4 included 25 patients with a history of IS who were treated for COVID-19 at baseline. Single venous blood tests were used to assess the levels of metabolic markers and identify genetic polymorphisms of hemostasis, immune response, endothelial function, and lipid metabolism in all study participants. Results. We identified the significant factors that determined the irreversible effects (damage) and fatal outcomes in patients with COVID-19 via the throm-bophilia genetic polymorphisms variations as follows: F13 encoding fibrin-stabilizing factor XIII — fibrinase (statistical probability of the factor influence > 90%), and SERPINE1 encoding endothelial plasminogen activator inhibitor-1 (PAI-1;statistical probability of the factor influence > 95%). High admission levels of homocysteine, interleukin-6, and activated partial thromboplastin time in patients with COVID-19 were associated with a severe disease course and fatal outcomes. Conclusion. Information about gene variations that trigger thrombosis and the adequate immune response can improve the effectiveness of specific therapy. Patients should understand their genetic profile, since this knowledge may prevent COVID-19 complications and significantly reduce the risk of a vascular catastrophe. © Dutova T. I., Banin I. N., Sazonov I. E., Peleshenko E. I., 2023.

Should Medical Students Be Overprotected? A Survey from China and Review About the Roles of Medical Student Under the COVID-19.

Objective: The impact of COVID-19 continues to this day, there are many disputes about how medical students should be managed and diverse arrangements were adopted by medical schools around all over the world. The purpose of this study was to discuss the risks and benefits of medical student participation in healthcare in the context of COVID-19. Methods: An online cross-sectional survey was distributed to 300 Medical students undergoing standardized training program (STP) in China-Japan Union Hospital of Jilin University. The survey included questions about basic demographic characteristics, roles and mental state of interns during the pandemic, comments on the University's management of medical students. Data were processed using SPSS 25.0 statistical analysis software, the comparison between two groups of data was performed using t-test; the non-normally distributed variables were analyzed using Mann-Whitney U-test, differences between groups were compared using chi-square test for analysis. p < 0.05 was considered statistically significant. Results: A total of 191 students completed the survey (response rate 63.67%). The epidemic had a significant psychological impact on students, but most of them believed that participation in clinical work under voluntary, precise protective measures and strict supervision were benefit for their future. Older, married, female, and salaried students are more willing to engage in pandemic-related activities. The biggest challenge of working under the pandemic focused on high working pressure and insufficient protection, the biggest harvest was getting knowledge and accumulating experience. Conclusion: Circumstances, cultures, outbreaks and strategies for coping with COVID-19 varied around the world. Medical students do not need to be overprotected, participation in pandemic work in an optimized system is acceptable and beneficial to their career plan. Medical education should focus on improving the social status of infectious diseases and cultivating future doctors with awareness of epidemic prevention and control.

Insights into COVID-19-associated critical illness: a narrative review.

Background and Objective: Since the outbreak of the 2019 novel coronavirus disease (COVID-19), acute respiratory distress syndrome (ARDS) and sepsis resulting from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have surged in intensive care units around the world. The heterogeneity of ARDS and sepsis has long been observed, and multiple subphenotypes and endotypes correlated with different outcomes and treatment response have been identified in the search for treatable traits. Despite their similarity to typical ARDS and sepsis, COVID-19-associated ARDS and sepsis harbor distinct features, raising the question as to whether they could be considered as subphenotypes or endotypes of the historical syndromes and, accordingly, benefit from specific therapeutic strategies. This review aimed to summarize and discuss the current knowledge of COVID-19-associated critical illness and the intrinsic subphenotypes or endotypes. Methods: Literature on the pathogenesis of COVID-19 and the subphenotyping of COVID-19-associated critical illness was derived from the PubMed database and reviewed. Key Content and Findings: Accumulating evidence, varying from clinical observation to basic research, has contributed to revealing the fundamental pathophysiological features of severe COVID-19 and has advanced our knowledge of the disease. COVID-19-associated ARDS and sepsis exhibit some distinctive features compared to the classic syndromes, including remarkable vascular abnormality and coagulopathy, and distinct respiratory mechanics and immune response. Some conventional subphenotypes derived from classic ARDS and sepsis have been validated in COVID-19, while novel subphenotypes and endotypes have also been identified in patients with this disease, who experience variable clinical outcomes and treatment responses. Conclusions: Subphenotyping of COVID-19-associated ARDS and sepsis can provide new insights into the development and management of these illnesses.

Remdesivir administration for Japanese COVID-19 patients undergoing maintenance hemodialysis: a retrospective observation with six case reports.

Background: The mortality rate of novel coronaviral disease (COVID-19) patients undergoing dialysis is considerably higher than that of patients with normal kidney function. As of August 2021, only remdesivir has been approved in Japan as an antiviral drug for the treatment of COVID-19. However, in cases of kidney failure, remdesivir administration should be considered only if the therapeutic benefits outweigh the risks because of concern about the accumulation of its solubilizing excipient sulfobutylether-beta-cyclodextrin and subsequent renal tubular injury or liver injury. Recently, reports from overseas indicating the safety of the use of remdesivir for COVID-19 patients on dialysis have been gathered. Case presentation: From June 2021, in our hospital, we started the administration of remdesivir to patients with moderate cases of COVID-19 undergoing hemodialysis, with careful consideration of the dosage and timing. Since then, six out of seven COVID-19 patients on hemodialysis who had received remdesivir have completely recovered. In a patient who died, the initial dose of remdesivir was administered after the case developed into severe COVID-19. All six patients who were able to start receiving remdesivir immediately at the stage of moderate COVID-19 recovered and were discharged without the need for mechanical ventilation. While, two out of four patients before May 2021 who had not been administered remdesivir at admission became severe, transferred to another tertiary hospital, and died. During and after remdesivir administration, no increase in serum transaminase to five times or more of the normal upper limit was observed in any of the cases. There were no other adverse drug reactions, such as infusion reaction, gastrointestinal symptoms, or anemia. Conclusions: We were able to administer remdesivir to six Japanese patients with moderate COVID-19 on hemodialysis safely. It is expected that the safe use of remdesivir will bring an increase in treatment options for moderate cases of COVID-19 in dialysis patients as well as subsequent improvement in treatment outcomes. However, to confirm the efficacy and safety of such use, further careful observation in more cases is required.

Kawasaki disease in the time of COVID-19-the international kawasaki disease registry

Background and Aim: The considerable overlap in case definition and clinical features between patients with COVID-19 associated Multisystem Inflammatory Syndrome in Children (MIS-C) and Kawasaki disease (KD) suggests shared pathogenesis. We sought to compare demographic, clinical presentation, management and outcomes of patients by COVID-19 status. Method(s): The International KD Registry (IKDR) began enrolling patients with clinical features of either acute MIS-C or KD or fever with hyperinflammation beginning in January 2020. The IKDR is unique regarding broad patient selection and includes sites from North, Central and South America, Europe, Asia and the Middle East. Patient groups stratified by COVID-19 status were compared. Result(s): As of October 6, 2021, 1330 patients were registered from 31 sites. COVID status was POSITIVE for 59% (confirmed household COVID-19 contact and/or positive SARS-CoV-2 PCR or serology), POSSIBLE for 4% (suggestive clinical features but some negative tests or absent exposure), NEGATIVE for 23%, and UNKNOWN (no known exposure and testing not com-pleted) for 14% (TABLE). Most of the UNKNOWN patients were from early in the COVID-19 pandemic before MIS-C was defined and before COVID-19 serologic testing was widely used. POSITIVE and POSSIBLE patients were older, had fewer KD clinical criteria, greater gastrointestinal symptoms, were more likely to present with shock and require ICU admission and inotropic support. POSSIBLE patients had greater days from symptom onset to first immune modulation treatment, with no differences between groups regarding days from admission to first treatment. Most patients in each group received intravenous immune globu-lin, with POSITIVE and POSSIBLE patients more likely to have received steroids and anakinra. NEGATIVE and UNKNOWN patients had higher maximal coronary artery Z scores, with a trend to having higher categories of aneurysm involvement. Conclusion(s): While there was considerable overlap in presentation, management and outcomes between COVID-19 POSITIVE/POSSIBLE (presumed MIS-C) and COVID NEGATIVE/UNKNOWN patients (presumed KD), COVID-19 POSITIVE/POSSIBLE patients had more severe presentations and required more intensive management, although coronary artery outcomes trended to be less severe. Patient recruitment con-tinues, and in-depth comparison of laboratory features and appli-cation of machine learning approaches to patient differentiation and prediction of optimal management pathways are forthcoming.

Influence of atmospheric environment on SARS-CoV-2 transmission: A review

The novel coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a public health emergency of international concern. Exposure to droplets produced in the coughs and sneezes of infected individuals has been perceived as the dominant transmission mode for COVID-19. However, increasingly more evidence supports claims of COVID-19 having airborne transmission. An in-depth understanding of the transmission pathways and influencing factors of SARS-CoV-2 is of great significance for formulating more effective intervention strategies. A large number of epidemiological investigations into the influence of atmospheric environmental conditions on virus transmission have been conducted. In this paper, we review current understandings of the association between COVID-19 and atmospheric environmental conditions. We first summarize the epidemiological investigations on the impact of atmospheric environmental factors (including solar radiation, temperature and humidity, wind speed, particulate matters, and gaseous pollutants) on the spread of COVID-19, and 164 epidemiological investigations are included, in which air temperature and relative humidity received the greatest attention. However, the impact of these factors on the prevalence of COVID-19 remains largely uncertain. 56% and 41% of investigations of temperature and humidity, respectively, show that cold and dry weather promotes COVID-19 transmission, while some studies come to the opposite conclusion, and still others do not show a significant relationship between them. Investigations of solar radiation are limited, but have come to the consistent conclusion that weak solar radiation is linked to increased severity of COVID-19 infection. Investigation of the impact of air pollution mainly focuses on particulate matters, and more than 70% of investigations indicate that PM2.5 likely contributes to the spread of COVID-19. Similarly, 62%, 51%, and 31% of investigations of NOx, O3, and SO2, respectively, indicate that the exposure to severe pollution can aggravate COVID-19 transmission. Therefore, the available findings reveal the complexity of the impact of atmospheric environmental conditions on the spread of COVID-19. We further discuss their mechanisms from three perspectives: (1) Atmospheric environmental conditions influence the generation of virus-laden aerosols and the occurrence of SARS-CoV-2 in the atmosphere. Relative humidity can affect the evaporation process of water on virus-laden aerosol, and thus affect its atmospheric life and probability of being inhaled by human body. (2) Atmospheric environmental conditions directly affect the stability of infection activity of SARS-CoV-2. Generally, high temperature, medium relative humidity, and intense solar radiation promote the inactivation of SARS-CoV-2. (3) Atmospheric environmental conditions indirectly affect the infection ability of SARS-CoV-2 by changing the defense ability of host cells. Air pollutants, especially PM2.5, can affect human susceptibility to the virus by increasing the expression of the SARS-CoV-2 receptor (angiotensin converting enzyme 2) in host cells. Meanwhile, meteorological conditions and air pollution can lead to respiratory system and other diseases in the human body, thus reducing human immunity and increasing the risk of virus infection, as well as the numbers of severely infected and fatal cases. All three mechanisms may contribute to the prevalence of COVID-19, but the dominant mechanism remains unclear. Finally, future directions of in-depth studies regarding the association between the epidemic and atmospheric conditions are proposed. © 2022 Chinese Academy of Sciences. All rights reserved.

The Prevalence and Pathophysiology of Chemical Sense Disorder Caused by the Novel Coronavirus.

Emerging viral infections are a ceaseless challenge and remain a global public health concern. The world has not yet come back to normal from the devastating effects of the highly contagious and pathogenic novel coronavirus, or Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Olfactory and taste dysfunction is common in patients infected by the novel coronavirus. In light of the emergence of different coronavirus variants, it is important to update the prevalence and pathophysiology of these side effects. In this review, articles published on the prevalence of olfactory and taste dysfunction from coronavirus disease (COVID-19) and their possible pathophysiologic mechanisms have been reviewed and reported. The modulatory role of different SARS-CoV-2 variants on the chemical senses is then described. The clinical relevance of chemical sense disorder and its long-term morbidity and management is also discussed.

Patient characteristics and compliance with positive airway pressure therapy during New York City's 2020 COVID-19 pandemic stay-at-home orders: The NYU comprehensive epilepsy center-sleep center telemedicine experience.

Objectives: We sought to evaluate the success of telemedicine during New York City's COVID-19 pandemic stay-at-home period, and understand the distribution of sleep complaints seen. We also compared positive airway pressure (PAP) therapy compliance for a random patient sample to determine whether the pandemic influenced PAP usage. Methods: Encounters from the stay-at-home period were reviewed for patient characteristics and clinician impressions, and were compared to administrative data from the prior 2.5 months ("control" period). PAP compliance was compared between the periods for a randomly selected group of forty patients. Results: The telemedicine show rate was 89.37%. Sleep apnea then insomnia were the predominant diagnoses. Insomnia complaints were higher during the stay-at-home period. PAP compliance and AHI were similar between the periods. Conclusions: Sleep apnea and insomnia were common complaints; insomnia was significantly more common during the pandemic. PAP compliance was similar between the two periods for a randomly selected cohort.

Public Protests and the Risk of Novel Coronavirus Disease Hospitalizations: A County-Level Analysis from California.

The objective of this study was to assess the relationship between public protests and county-level, novel coronavirus disease (COVID-19) hospitalization rates across California. Publicly available data were included in the analysis from 55 of 58 California state counties (29 March-14 October 2020). Mixed-effects negative binomial regression models were used to examine the relationship between daily county-level COVID-19 hospitalizations and two main exposure variables: any vs. no protests and 1 or >1 protest vs. no protests on a given county-day. COVID-19 hospitalizations were used as a proxy for viral transmission since such rates are less sensitive to temporal changes in testing access/availability. Models included covariates for daily county mobility, county-level characteristics, and time trends. Models also included a county-population offset and a two-week lag for the association between exposure and outcome. No significant associations were observed between protest exposures and COVID-19 hospitalization rates among the 55 counties. We did not find evidence to suggest that public protests were associated with COVID-19 hospitalization within California counties. These findings support the notion that protesting during a pandemic may be safe, ostensibly, so long as evidence-based precautionary measures are taken.

[Preliminary Recommendations for Lung Surgery during 2019 Novel Coronavirus Disease (COVID-19) Epidemic Period].

In December 2019, China diagnosed the first patient with 2019 novel coronavirus disease (COVID-19), and the following development of the epidemic had a huge impact on China and the whole world. For patients with lung occupying lesions, the whole process of diagnosis and treatment can not be carried out as usual due to the epidemic. For thoracic surgeons, the timing of surgical intervention should be very carefully considered. All thoracic surgeons in China should work together to develop the proper procedures for the diagnosis and treatment in this special situation, and continuously update the recommendations based on epidemic changes and further understanding of COVID-19. Here, we only offer some preliminary suggestions based on our own knowledge for further reference and discussion.

Cough Sound Detection and Diagnosis Using Artificial Intelligence Techniques: Challenges and Opportunities.

Coughing is a common symptom of several respiratory diseases. The sound and type of cough are useful features to consider when diagnosing a disease. Respiratory infections pose a significant risk to human lives worldwide as well as a significant economic downturn, particularly in countries with limited therapeutic resources. In this study we reviewed the latest proposed technologies that were used to control the impact of respiratory diseases. Artificial Intelligence (AI) is a promising technology that aids in data analysis and prediction of results, thereby ensuring people's well-being. We conveyed that the cough symptom can be reliably used by AI algorithms to detect and diagnose different types of known diseases including pneumonia, pulmonary edema, asthma, tuberculosis (TB), COVID19, pertussis, and other respiratory diseases. We also identified different techniques that produced the best results for diagnosing respiratory disease using cough samples. This study presents the most recent challenges, solutions, and opportunities in respiratory disease detection and diagnosis, allowing practitioners and researchers to develop better techniques.

Low CD4 T cell count predicts radiological progression in severe and critically ill COVID-19 patients: a case control study.

BACKGROUND: Novel coronavirus disease (COVID-19) has spread globally and caused over 3 million deaths, posing great challenge on public health and medical systems. Limited data are available predictive factors for disease progression. We aim to assess clinical and radiological predictors for pulmonary aggravation in severe and critically ill COVID-19 patients. METHODS: Patients with confirmed COVID-19 in Renmin Hospital of Wuhan University, China, between Feb. 6th, 2020 and Feb. 21st, 2020 were retrospectively collected. Enrolled patients were divided into non-progression group and progression group based on initial and follow-up chest CTs. Clinical, laboratory, and radiological variables were analyzed. RESULTS: During the study period, 162 patients were identified and a total of 126 patients, including 97 (77.0%) severe cases and 29 (23.0%) critically ill cases were included in the final analysis. Median age was 66.0 (IQR, 56.0-71.3) years. Median time from onset to initial chest CT was 15.0 (IQR, 12.0-20.0) days and median interval to follow-up was 7.0 (IQR, 5.0-7.0) days. Compared with those who did not progress (n=111, 88.1%), patients in the progression group (n=15, 11.9%) had significantly higher percentage of peak body temperature >38 °C (P=0.002), lower platelet count (P=0.011), lower CD4 T cell count (P=0.002), lower CD8 count (P=0.011), higher creatine kinase level (P=0.002), and lower glomerular filtration rate (P=0.018). On both univariate and multivariable analysis, only CD4 T cell count <200/µL was significant (OR, 6.804; 95% CI, 1.450-31.934; P=0.015) for predicting pulmonary progression. CONCLUSIONS: Low CD4 T cell count predicts progression of pulmonary change in severe and critically ill patients with COVID-19.

Humoral immune mechanisms involved in protective and pathological immunity during COVID-19.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causing COVID-19 is associated with excessive inflammation, as a main reason for severe condition and death. Increased inflammatory cytokines and humoral response to SARS-CoV-2 correlate with COVID-19 immunity and pathogenesis. Importantly, the levels of pro-inflammatory cytokines that increase profoundly in systemic circulation appear as part of the clinical pictures of two overlapping conditions, sepsis and the hemophagocytic syndromes. Both conditions can develop lethal inflammatory responses that lead to tissue damage, however, in many patients hemophagocytic lymphohistiocytosis (HLH) can be differentiated from sepsis. This is a key issue because the life-saving aggressive immunosuppressive treatment, required in the HLH therapy, is absent in sepsis guidelines. This paper aims to describe the pathophysiology and clinical relevance of these distinct entities in the course of COVID-19 that resemble sepsis and further highlights two effector arms of the humoral immune response (inflammatory cytokine and immunoglobulin production) during COVID-19 infection.

The Difficulties and Mental Health Intervention Need of Doctors and Nurses in Biological Emergencies: A Qualitative Study.

When a biological public health event breaks out, due to the characteristics of their work, doctors and nurses must face risks directly when the situation is unknown. Their difficulties and psychological pressure are unimaginable. However, few studies have investigated the difficulties encountered by those doctors and nurses and their requirements for psychological interventions. This study aimed to explore the difficulties and psychological intervention needs of doctors and nurses during the new biological public health events in China in 2019. We carried out a qualitative study using a phenomenological approach. We used convenience sampling to identify participants who provided direct care and treatment for patients with biological events such as coronavirus disease 2019 (COVID-19). They participated in semi-structured, in-depth face-to-face interviews. The interviews were transcribed and analyzed using Colaizzi's seven-step method. Analysis of this study was divided into the difficulties encountered by doctors and nurses and their mental health need. The difficulties encountered by doctors and nurses included four themes: being worried about the impact on others, lack of knowledge and skills, difficult patients, being socially isolated, and the feeling of uncertainty. The mental health need was summarized into two parts, needs expressed by doctors and nurses and needs observed by researchers. Doctors and nurses mostly did not feel that they needed any psychological support, but the researchers noticed several signs of stress or potential mental health problems among interviewees. Doctors and nurses faced significant complex and multidimensional difficulties. Many denied needing psychological support, even though the researchers noted signs that it might be helpful. Interventions and support strategies that involve mental health promotion activities should consider individual needs related to doctors and nurses' situation.

Evolution of Specimen Self-Collection in the COVID-19 Era: Implications for Population Health Management of Infectious Disease.

Laboratory testing is an important component in the diagnosis of respiratory tract infections such as with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). However, specimen collection not only risks exposure of health care workers and other patients to infection, but also necessitates use of personal protective equipment that may be in short supply during periods of heightened disease activity. Self-collection of nasal or oropharyngeal swabs offers an alternative to address these drawbacks. Although studies in the past decade have demonstrated the utility of this approach for respiratory infections, it has not been widely adopted in routine clinical practice. The rapid spread of coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, has focused attention on the need for safe, convenient, timely, and scalable methods for collecting upper respiratory specimens for testing. The goals of this article are to highlight the literature regarding self-collected nasal or oropharyngeal specimens for respiratory pathogen testing; discuss the role of self-collection in helping prevent the spread of the COVID-19 disease from infected patients and facilitating a shift toward "virtual" medicine or telemedicine; and describe the current and future state of self-collection for infectious agents, and the impacts these approaches can have on population health management and disease diagnosis and prevention.

Risk factors for adverse outcomes of COVID-19 patients: Possible basis for diverse responses to the novel coronavirus SARS-CoV-2.

Severe coronavirus disease 2019 (COVID-19) caused by the Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) is characterized by an unpredictable disease course, with variable presentations of different organ systems. The clinical manifestations of COVID-19 are highly variable ranging from mild presentations to severe, life-threatening symptoms and the wide individual variability may be due to the broad heterogeneity in the underlying pathologies. There is no doubt that early management may have a major influence on the outcome. This led the scientists to search for ways to monitor disease progression or to predict outcomes in COVID-19. Although it is not yet possible to predict who will progress to the severe forms or in what time, numerous prospective and longitudinal studies represent the evidence for determining the potential immunological risk factors of COVID-19 critical disease and death. The kinetics and breadth of immune responses during COVID-19 appear to follow a trend which is consistent to the predominant pathological alterations. Recent publications have used these biomarkers to help identify patients who will develop the severe acute COVID-19. Of particular interest is the relationship between the kinetics of peripheral leukocytes and clinical progress of the disease in COVID-19. Although research is ongoing in this area, we present details about the current status of the evaluation. Understanding of the COVID-19 related alterations of the innate and adaptive immune responses may help to promote the vaccine development and immunological interventions.

Applications of Big Data Analytics to Control COVID-19 Pandemic.

The COVID-19 epidemic has caused a large number of human losses and havoc in the economic, social, societal, and health systems around the world. Controlling such epidemic requires understanding its characteristics and behavior, which can be identified by collecting and analyzing the related big data. Big data analytics tools play a vital role in building knowledge required in making decisions and precautionary measures. However, due to the vast amount of data available on COVID-19 from various sources, there is a need to review the roles of big data analysis in controlling the spread of COVID-19, presenting the main challenges and directions of COVID-19 data analysis, as well as providing a framework on the related existing applications and studies to facilitate future research on COVID-19 analysis. Therefore, in this paper, we conduct a literature review to highlight the contributions of several studies in the domain of COVID-19-based big data analysis. The study presents as a taxonomy several applications used to manage and control the pandemic. Moreover, this study discusses several challenges encountered when analyzing COVID-19 data. The findings of this paper suggest valuable future directions to be considered for further research and applications.

An analytical study of drug utilization, disease progression, and adverse events among 165 COVID-19 patients.

BACKGROUND: The coronavirus disease 2019 (COVID-19) epidemic has lasted for nearly 4 months by this study was conducted. We aimed to describe drug utilization, disease progression, and adverse drug events of COVID-19. METHODS: A retrospective, single-center case series study enrolled 165 consecutive hospitalized COVID-19 patients who were followed up until March 25, 2020, from a designated hospital in Wuhan. Patients were grouped by a baseline degree of severity: non-severe and severe. An analytical study of drug utilization, disease progression, and adverse events (AEs) of COVID-19 was conducted. RESULTS: Of the 165 COVID-19 cases, antivirals, antibacterials, glucocorticoids, and traditional Chinese medicine (TCM) were administered to 92.7%, 98.8%, 68.5%, and 55.2% of patients, respectively. The total kinds of drugs administered to the severe subgroup [26, interquartile range (IQR) 18-39] were 11 more than the non-severe subgroup (15, IQR 10-24), regardless of comorbidities. The 2 most common combinations of medications in the 165 cases were 'antiviral therapy + glucocorticoids + TCM' (81, 49.1%) and 'antiviral therapy + glucocorticoids' (23, 13.9%). Compared with non-severe cases, severe cases received more glucocorticoids (88.5% vs. 66.2%, P=0.02), but less TCM (50.0% vs. 63.3%, P=0.20), and suffered a higher percentage of death (34.6% vs. 7.2%, P=0.001). At the end of the follow-up, 130 (78.8%) patients had been discharged, and 24 (14.5%) died. There were 13 patients (7.9%) who had elevated liver enzymes, and 49 patients (29.7%) presented with worsening kidney function during the follow-up. CONCLUSIONS: Of the 165 COVID-19 patients, the fatality rate remained high (14.5%). Drug utilization for COVID-19 was diverse and generally complied with the existing guidelines. Combination regimens containing antiviral drugs might be beneficial to assist COVID-19 recovery. Additionally, liver and kidney AEs should not be ignored.

Diagnosis and treatment of 471 patients with 2019 novel coronavirus disease (COVID-19).

BACKGROUND: While the 2019 novel coronavirus disease (COVID-19) outbreak has been largely kept under control in China, it remains a global pandemic, and the source, transmission route, and treatments of SARS-COV-2 are still being investigated. Here, we summarized the clinical features, diagnosis, treatment, and prognosis of COVID-19 patients based on our clinical practice. METHODS: The clinical and imaging findings, treatments, and follow-up data of 471 patients with COVID-19 who were discharged from the Wuhan Jinyintan Hospital prior to February 6, 2020, were retrospectively analyzed. RESULTS: Among these patients, there were 2 mild cases, 282 moderate cases, 181 severe cases, and 6 critical cases. There were 250 males and 221 females aged 17 to 90 years. The median age was 54 years in the severe/critical group, which was significantly older than in the mild/moderate group (P<0.05). 44.59% of them had one or more underlying diseases. The most common symptoms were fever, cough, expectoration, and dyspnea. The median body temperature in the severe/critical group was 39°C, which was significantly higher than in the mild/moderate group (P<0.05). The incidences of lymphopenia and CD4+ T lymphocytopenia were 53.5% and 41.86%, respectively. Ground-glass opacity and small patchy shadows were the most common findings on chest computed tomography (CT). Compared with the mild/moderate group, the severe/critical group showed higher proportions of severe lymphocytopenia and CD4+ T lymphocytopenia, along with more ground-glass shadows and large-scale consolidation. After anti-infection, oxygen therapy, and symptomatic support, lymphocytes and CD4+ T lymphocytes were markedly increased, all patients were discharged. The median time of nucleic acid conversion and hospital stay were 9 and 12 days, respectively, which were significantly longer in the severe/critical group than in the mild/moderate group. Of the 390 cases followed, only 19 were hospitalized again due to other diseases. All patients recovered well from COVID-19, with negative nucleic acid test results. CONCLUSIONS: Lymphocytopenia and CD4+ T lymphocytopenia were found to be associated with COVID-19 and thus may be important indicators in evaluating the severity and prognosis. Multidisciplinary management including antiviral treatment, immune regulation, and symptomatic support is effective, and yields a low recurrence rate.