View clinical trials related to Coronavirus Infections.
Filter by:SARS-CoV-2, one of a family of human coronaviruses, was initially identified in December 2019 in Wuhan city. This new coronavirus causes a disease presentation which has now been named COVID-19. The virus has subsequently spread throughout the world and was declared a pandemic by the World Health Organisation on 11th March 2020. As of 18 March 2020, there are 198,193 number of confirmed cases with an estimated case-fatality of 3%. There is no approved therapy for COVID-19 and the current standard of care is supportive treatment. SARS-CoV-2 exploits the cell entry receptor protein angiotensin converting enzyme II (ACE-2) to access and infect human cells. The interaction between ACE2 and the spike protein is not in the active site. This process requires the serine protease TMPRSS2. Camostat Mesilate is a potent serine protease inhibitor. Utilizing research on severe acute respiratory syndrome coronavirus (SARS-CoV) and the closely related SARS-CoV-2 cell entry mechanism, it has been demonstrated that SARS-CoV-2 cellular entry can be blocked by camostat mesilate. In mice, camostat mesilate dosed at concentrations similar to the clinically achievable concentration in humans reduced mortality following SARS-CoV infection from 100% to 30-35%.
The project is an epidemiological observational study based on an electronic questionnaire on risk factors for COVID-19 in the community and healthcare setting.
The investigators plan to carry out an experimental study on the preventive effect of recombinant human interferon alpha nasal drops on the infection of 2019 new coronavirus in medical staff.
This study is a multi-centered, three-armed, randomized, double-blinded, controlled study, namely, the oral trial drug favipiravir tablets plus chloroquine phosphatetablets tablets group (combined group), the oral trial drug favipiravir tablets group (pirovir group), and the oral placebo treatment group (control group). The total number of enrolled cases in this study was set at 150. During the treatment, the clinical data of the subjects were collected, the changes of viral load and biochemical indicators were detected, and the outcome of the subjects was monitored. The main indicators of efficacy include improvement or recovery of respiratory symptoms and viral nucleic acid shedding. The rate of progression to severe disease, duration of fever, peripheral blood index and improvement time of pulmonary imaging were the secondary indicators to evaluate the efficacy. Statistical analysis was performed at the middle and final stages of the study to evaluate the efficacy and safety of favipiravir tablets combined with chloroquine phosphatetablets tablets in the treatment of novel coronavirus pneumonia.
The purpose of this study is to test the hypothesis that post-exposure prophylaxis with hydroxychloroquine will reduce the symptomatic secondary attack rate among household contacts of known or suspected COVID-19 patients.
Collection and analysis of demographic, clinical, radiographic and laboratory characteristics of CoViD-19 patients to identify predictors of disease severity, mortality and treatment response, and to identify subgroup of patients that might benefit from specific therapeutic interventions
Modelling repurposed from pandemic influenza is currently informing all strategies for SARS-CoV-2 and the disease COVID-19. A customized disease specific understanding will be important to understand subsequent disease waves, vaccine development and therapeutics. For this reason, ISARIC (the International Severe Acute Respiratory and Emerging Infection Consortium) was set up in advance. This focuses on hospitalised and convalescent serum samples to understand severe illness and associated immune response. However, many subjects are seroconverting with mild or even subclinical disease. Information is needed about subclinical infection, the significance of baseline immune status and the earliest immune changes that may occur in mild disease to compare with those of SARS-CoV-2. There is also a need to understand the vulnerability and response to COVID-19 of the NHS workforce of healthcare workers (HCWs). HCW present a cohort with likely higher exposure and seroconversion rates than the general population, but who can be followed up with potential for serial testing enabling an insight into early disease and markers of risk for disease severity. We have set up "COVID-19: Healthcare worker Bioresource: Immune Protection and Pathogenesis in SARS-CoV-2". This urgent fieldwork aims to secure significant (n=400) sampling of healthcare workers (demographics, swabs, blood sampling) at baseline, and weekly whilst they are well and attending work, with acute sampling (if hospitalised, via ISARIC, if their admission hospital is part of the ISARIC network) and convalescent samples post illness. These will be used to address specific questions around the impact of baseline immune function, the earliest immune responses to infection, and the biology of those who get non-hospitalized disease for local research and as a national resource. The proposal links directly with other ongoing ISARIC and community COVID projects sampling in children and the older age population. Reasonable estimates suggest the usable window for baseline sampling of NHS HCW is closing fast (e.g. baseline sampling within 3 weeks).
The Novel Coronavirus (2019-nCoV), also known as Wuhan coronavirus, causes the 2019-nCoV acute respiratory disease. The number of patients infected by 2019-nCoV in Italy closely followed an exponential trend, and Italy reported the highest number of infected patients and deaths in the world excluding China.
Complete the examination of cardio-pulmonary ultrasound in accordance with the a-ccue process of patients with novel coronavirus bedside. To summarize and analyze the characteristics of cardiopulmonary ultrasound in patients with novel coronavirus pneumonia, and assess the relationship between pulmonary ultrasound imaging score and National Early Warning Score(NEWS) and prognosis. Auto line B is a method which is based on artificial intelligence is used to calculate the lungs ultrasonic B line numbers reviewing the status of patients with lung, and also evaluate patients' lungs using the traditional artificial semi-quantitative method, to evaluate those two kinds of evaluation methods for the evaluation of patients with lung condition effects are consistent or not, and verify consistency of ultrasonic evaluation method and the way of CT evaluation.
Covid-19 is associated with a wide range of symptoms and clinical trajectories, and early identification of patients at risk for developing severe disease is desirable. Several risk markers and comorbidity profiles have been proposed but their relative importance in unselected patients admitted to hospital with Covid-19 remains unclear. This study aims to assess the prognostic value organ specific biomarkers, viral dynamics and immune response markers in patients infected with SARS-CoV2.