OBJECTIVES: To develop a risk prediction model for severe adenovirus pneumonia (AVP) in children, and to explore the appropriate timing for intravenous immunoglobulin (IVIG) therapy for severe AVP. METHODS: Medical data of 1 046 children with AVP were retrospectively analyzed, and a risk prediction model for severe AVP was established using multivariate logistic regression. The model was validated with 102 children with AVP. Then, 75 children aged ≤14 years who were considered at risk of developing severe AVP by the model were prospectively enrolled and divided into three groups (A, B and C) in order of visit, with 25 children in each group. Group A received symptomatic supportive therapy only. With the exception of symptomatic supportive therapy, group B received IVIG treatment at a dose of 1g/(kg·d) for 2 consecutive days, before progressing to severe AVP. With the exception of symptomatic supportive therapy, group C received IVIG treatment at a dose of 1 g/(kg·d) for 2 consecutive days after progressing to severe AVP. Efficacy and related laboratory indicators were compared among the three groups after treatment. RESULTS: Age<18.5 months, underlying diseases, fever duration >6.5 days, hemoglobin level <84.5 g/L, alanine transaminase level >113.5 U/L, and co-infection with bacteria were the six variables that entered into the risk prediction model for severe AVP. The model had an area under the receiver operating characteristic curve of 0.862, sensitivity of 0.878, and specificity of 0.848. The Hosmer-Lemeshow test showed good consistency between the predicted values and the actual observations (P>0.05). After treatment, group B had the shortest fever duration and hospital stay, the lowest hospitalization costs, the highest effective rate of treatment, the lowest incidence of complications, the lowest white blood cell count and interleukin (IL)-1, IL-2, IL-6, IL-8, IL-10 levels, and the highest level of tumor necrosis factor alpha (P<0.05). CONCLUSIONS The risk model for severe AVP established in this study has good value in predicting the development of severe AVP. IVIG therapy before progression to severe AVP is more effective in treating AVP in children.
Child ; Humans ; Immunoglobulins, Intravenous/therapeutic use* ; Prospective Studies ; Retrospective Studies ; Adenoviridae Infections/drug therapy* ; Pneumonia, Viral/drug therapy* ; Adenoviridae

Adult ; Anti-Bacterial Agents/therapeutic use* ; COVID-19/drug therapy* ; Catheter-Related Infections/microbiology* ; China ; Drug Resistance, Multiple, Bacterial ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Intubation, Intratracheal ; Male ; Pneumonia, Viral/drug therapy* ; Prosthesis-Related Infections/microbiology* ; SARS-CoV-2

Adult ; Body Temperature/drug effects* ; COVID-19/pathology* ; Drug Therapy, Combination ; Drugs, Chinese Herbal/therapeutic use* ; Ephedra sinica/chemistry* ; Female ; Fever/pathology* ; Glycyrrhiza/chemistry* ; Humans ; Indoles/administration & dosage* ; Male ; Medicine, Chinese Traditional/methods* ; Middle Aged ; Phytotherapy/methods* ; Pneumonia, Viral/pathology* ; Radiography, Thoracic ; SARS-CoV-2/drug effects*

Betacoronavirus ; COVID-19 ; China ; Coronavirus Infections/therapy* ; Humans ; Pandemics/prevention & control* ; Pneumonia, Viral/therapy* ; SARS-CoV-2

Corona virus disease 2019 (COVID-19) is a new type of coronavirus pneumonia, which is caused by infection of a novel coronavirus, SARS-CoV-2. The virus infects lung cells by binding angiotensin-converting enzyme 2 (ACE2) of cell surface, which leads to leukocyte infiltration, increased permeability of blood vessels and alveolar walls, and decreased surfactant in the lung, causing respiratory symptoms. The aggravation of local inflammation causes cytokine storm, resulting in systemic inflammatory response syndrome. In December 2019, a number of new pneumonia cases were reported by Wuhan Municipal Health Commission, after then a novel coronavirus was isolated and identified as SARS-CoV-2. To the date of Sep. 13th, 2020, COVID-19 is affecting 216 countries or regions, causing 28 637 952 cases, 917 417 deaths, and the mortality rate is 3.20%. This review will summarize the structure of SARS-CoV-2 and the pharmaceutical treatment of COVID-19, and their potential relationships.
Betacoronavirus ; COVID-19 ; Coronavirus Infections/drug therapy* ; Humans ; Pandemics ; Pneumonia, Viral ; SARS Virus ; SARS-CoV-2

At present, SARS-CoV-2 is raging, and novel coronavirus pneumonia (COVID-19) has caused more than 35 million confirmed patients and more than 500 000 cases death, which seriously endanger human health, socioeconomic development, as well as global medical and public health systems. COVID-19 is highly contagious, has a long incubation period, and causes many death cases due to lack of effective specific treatment. Mesenchymal stem cells have powerful anti-inflammatory and immunoregulatory functions, and can effectively reduce the cytokine storm caused by coronavirus in patients, and improve the pulmonary fibrosis of patients, promote the repair of damaged lung tissue, and reduce the mortality. Currently, a number of related clinical trials of mesenchymal stem cell treatment of COVID-19 have been conducted, and have confirmed the safety and efficacy, suggesting a good clinical application prospect. While progress has been made in mesenchymal stem cell therapy for COVID-19, we should also catch sight of the problems and challenges faced by mesenchymal stem cell clinical trials under severe epidemic situation, including clinical trials design, stem cell quality management, and ethics in treatment. Only by paying attention to these can we guarantee the safe and effective development of mesenchymal stem cell clinical trials in the treatment of COVID-19.
Betacoronavirus ; COVID-19 ; Clinical Trials as Topic ; Coronavirus Infections/therapy* ; Humans ; Mesenchymal Stem Cell Transplantation ; Mesenchymal Stem Cells/cytology* ; Pandemics ; Pneumonia, Viral/therapy* ; SARS-CoV-2

Coronavirus disease 2019 (COVID-19) has spread widely on a large scale in the whole world at present, seriously endangering human health. There are still no effective and specific drugs, so it is urgent to find safe and effective therapeutic methods. Mesenchymal stem cells (MSCs) have many biological functions of powerful immunomodulation and tissue repair and regeneration. As a stem cell therapy, it has the potential to reduce the tissue injury and mortality in severe patients infected with novel coronavirus. At present, many research institutions in China and abroad have started a number of clinical research projects about MSCs in the treatment of COVID-19. In addition, those projects have initially confirmed the safety and effectiveness of this therapy. Therefore, this research field has been proved to have a very good clinical therapy prospect.
Betacoronavirus ; COVID-19 ; China ; Coronavirus Infections/therapy* ; Humans ; Mesenchymal Stem Cell Transplantation ; Mesenchymal Stem Cells/cytology* ; Pandemics ; Pneumonia, Viral/therapy* ; SARS-CoV-2

OBJECTIVES: To explore the influential factors and titer trend of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) specific IgG antibody in convalescent patients with coronavirus disease 2019 (COVID-19), and to provide theoretical basis for the feasibility of clinical treatment of convalescent plasma. METHODS: Colloidal gold immunochromatography assay was used to detect the SARS-CoV-2 specific IgG antibody and its titer in 113 convalescent patients with COVID-19 who were followed up from February 19, 2020 to April 6, 2020. The basic characteristics and treatment factors of patients in the high titer group (antibody titer≥1꞉160, RESULTS: The difference in the clinical type of COVID-19, onset time, first admission C-reactive protein, absolute value of lymphocyte, absolute value of CD19 CONCLUSIONS Male COVID-19 patients might be more likely to produce high titer SARS-CoV-2 specific IgG antibodies than female. The peak level of SARS-CoV-2 specific IgG antibody in convalescent patients is maintained for a short period. Using plasma from convalescent COVID-19 patients for treatment should be within 28 d after discharge.
Antibodies, Viral ; Betacoronavirus ; COVID-19/therapy* ; Female ; Humans ; Immunization, Passive ; Immunoglobulin G ; Male ; Pandemics ; Pneumonia, Viral/epidemiology* ; SARS-CoV-2

On May 15, 2020, the Lancet published an article titled Use of Herbal Drugs to Treat COVID-19 Should be with Caution. While this is true of all drugs, herbal and otherwise, the data may be biased and deserve a scientific response. We believe these types of reports will unfairly and negatively impact the field of integrative medicine as a whole, and must be answered with facts and statistics that more accurately represent the current situation.
Betacoronavirus ; Bias ; COVID-19 ; Coronavirus ; Coronavirus Infections/drug therapy* ; Drugs, Chinese Herbal ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2

With the global outbreak of coronavirus disease 2019(COVID-19), screening of effective drugs has became the emphasis of research today; furthermore, screening of Chinese classic prescriptions has became one of the directions for drug development. This study analyzed the application of classic prescriptions in the diagnosis and treatment schemes based on the Diagnosis and Treatment Schemes for Coronavirus Disease at the country, provincial and municipal levels, and further explored its disrobing effect on COVID-19 disease severe phase network, and selected representative prescriptions for core target screening and gene enrichment analysis, so as to reveal its mechanism of action. Among them, 13 prescriptions were found to be used for 10 times or more, including Maxing Shigan Tang, Yinqiao San, Shengjiang San, Dayuan Drink, Xuanbai Chengqi Decoction. In addition, the COVID-19 efficacy prediction analysis platform(TCMATCOV platform) was used to calculate the network disturbances of the Chinese classic prescriptions involved. Based on the prediction results, 68 classic prescriptions were assessed on the COVID-19 disease network robustness disturbance. The average disturbance scores for the interaction confidence scores were ranked to be 0.4, 0.5, and 0.6 from the highest to the lowest. There were 7 prescriptions with a score of 17 or more, and 50 prescriptions with a score of 13 or more. Among them, the top three prescriptions were Ganlu Xiaodu Dan(18.19), Lengxiao Wan(17.74), and Maxing Shigan Tang(17.62). After further mining the action targets of these three prescriptions, it was found that COVID-19 disease-specific factors Ccl2, IL10, IL6 and TNF were all the targets of three prescriptions. Through the enrichment analysis of the biological processes of the core targets, it was found that the three prescriptions may prevent the development of the disease by affecting cell-to-cell adhesion, cytokine-mediated signaling pathway, and chronic inflammatory responses to COVID-19 at the severe phase. This study showed that the TCMATCOV platform could evaluate the disturbance effect of different prescriptions on the COVID-19 disease network, and predict potential effectiveness based on the robustness of drug-interfered pneumonia disease networks, so as to provide a reference for further experiments or clinical verification.
Betacoronavirus ; Coronavirus Infections ; drug therapy ; Drugs, Chinese Herbal ; Humans ; Medicine, Chinese Traditional ; Pandemics ; Pneumonia, Viral ; drug therapy