View clinical trials related to Covid19.
Filter by:The objectives of this proposal are to: 1) determine the rate of SARS-CoV-2 seroconversion in unselected pregnant women in Hong Kong; 2) determine the rate of SARS-CoV-2 infection in women presenting with miscarriage and stillbirth; 3) follow the pregnancy course and perinatal outcome of confirmed COVID-19-infected pregnant cases; 4) determine the risk and characteristics of vertical transmission; and 5) evaluate the placental barrier, immune response and fetal damage in vertical transmission of SARS-CoV-2. A series of longitudinal and cross-sectional observational studies, and a laboratory-based study will be conducted to fulfil the 5 objectives.
COVID19 is n outbreak with unpredictable outcome
Favipiravir is a selective and potent inhibitor of influenza viral RNA polymerase. It acts as a purine analogue, which selectively inhibits viral RNA-dependent RNA polymerase (RdRps). It has the characteristic of acting on RNA viruses including Ebola and Coronaviruses especially novel coronavirus (2019-nCoV). The purpose of this study is to evaluate the clinical efficacy and safety of Favipiravir in comparison to placebo in the treatment of mild COVID-19 cases. It is a Multicenter, randomized double-blinded, parallel-group trial.
This Phase 1 single-dose, dose-escalation study is an open label trial evaluating the safety of CPI-006, a humanized monoclonal antibody targeting the CD73 cell-surface ectonucleotidase, as immunotherapy for stable hospitalized mild or moderately symptomatic COVID-19 patients with a parallel non-randomized Control Arm for treatment with standard of care only.
Epidemiological data have related particulate matter (PM), nitrogen dioxide (NO2) and ozone (O3) to COVID-19 morbidity and mortality at the population level. Air pollution may be related to an increase in the COVID-19 severity and lethality through its impact on chronic diseases such as cardiovascular and respiratory diseases and diabetes that are also the main comorbidities associated with COVID-19. Epidemiological studies using individual data are needed to provide more precise estimate of the association between air pollution exposure and COVID-19. In this multicenter prospective study, the investigators will analyze the number of deaths in COVID-19 confirmed cases in geriatric patients according to long-term exposure to air pollution, taking into account confounders such as diabetes, hypertension, age, and BMI. Exposure to air pollution will be estimated as the mean concentration of air pollutants at the residential address during the previous two years. In addition, the investigators will explore the relationship between short-term variations in air pollutants, relative humidity, temperature, UV radiations, pollen and the occurrence of COVID-19.
In recent months, a new coronavirus, SARS-CoV-2, has been identified as the cause of a serious lung infection named COVID-19 by the World Health Organization. This virus has spread rapidly among the nations of the world and it is the cause of a pandemic and a global health emergency. There is still very little scientific evidence on the virus, however epidemiological data suggest that one of the most frequent comorbidities is diabetes, along with hypertension and heart disease. There is no scientific evidence on the possible effects of this infection on the function of the β cell and on glycemic control. Clinical evidence seems to suggest that COVID-19 infection mostly affects the respiratory system, and an acute worsening of glycemic compensation is not described as generally observed in bacterial pneumonia. However, previous work on acute respiratory syndromes (SARS) caused by similar coronaviruses, had described that the infection has multi-organ involvement related to the expression of the SARS coronavirus receptor, the angiotensin 2 converting enzyme, in different organs, especially at the level of endocrine pancreatic tissue. In the population of this previous work, glucose intolerance and fasting hyperglycaemia have been described and in 37 of 39 diabetic patients examined, a remission of diabetes was observed three years after the infection. It is possible that the coronaviruses responsible for SARS may enter the pancreatic islets using the angiotensin 2 converting enzyme receptor, expressed at the level of the endocrine pancreas, thus causing diabetes. Additionally, previous literature on coronavirus infections (SARS and MERS or Middle-East Respiratory Syndrome) suggested that diabetes could worsen the evolution of the disease. In particular, in case of Middle-East Respiratory Syndrome-CoV infection, diabetic mice had a more prolonged serious illness and a delay in recovery regardless of the viremic titer. This could probably be due to a dysregulation of the immune response, which results in more serious and prolonged lung disease. There are currently no data on pancreatic beta cell function in patients with COVID-19.
NORPLASMA COVID-19 includes both the production of convalescent plasma from approved blood donors who have recovered from covid-19 (coronavirus disease 2019), and clinical studies to evaluate efficacy and safety of the treatment, as recommended by European health authorities. Patients who receive convalescent plasma in a clinical setting will be invited to participate in the monitoring study NORPLASMA MONITOR, where clinical data about safety and effect on clinical parameters including virus load and recovery time will be collected and compared to european patients in a common database for the European countries. The treated patients can be compared to a historical control group.
The purpose of this study is to characterize the incidence and clinical features of the maternal COVID 19 infection, as well as the associated morbidity of the mother and the child, in the French context
1. Objectives: 1.-To create risk stratification scales of poor evolution in patients infected by SARS-CoV-2. 2.-Evaluate the accessibility and equity that these patients have had in the different care processes, diagnostic and therapeutic procedures, with special interest in patients who came from residences, by age, gender or geographic origin.3.-Evaluate the effectiveness of different therapeutic schemes that have been used in this pandemic. 4.-Evaluate the effectiveness of different diagnostic tests used to predict the poor evolution of these patients 5.- Evaluate the real costs associated with the treatment of hospitalized patients with COVID-19 ; 2. Methods: Information will be recorded from electronic medical record: epidemiological data, onset of symptoms, comorbidities and their treatments, symptoms, analytical data, vital signs, tests performed, treatments during admission and evolution up to 3 months after discharge. Statistical analysis: The investigators will use classic survival models, logistic regression, generalized linear models and also analysis using artificial intelligence techniques . Health care costs are assessed. Applications for decision making will be derived as a product.
Impacts of the Covid-19 epidemic and associated lockdown measures on the management, health and behaviors of cystic fibrosis patients during the 2020 epidemic