View clinical trials related to Covid19.
Filter by:This study is an adaptive, randomized, open-label, controlled clinical trial, performed worldwide in collaboration with WHO and INSERM.
Recent studies have shown that some individuals may be asymptomatic but continue to shed the COVID-19 virus. These individuals may represent a population that can unknowingly transmit the virus. Healthcare workers (HCW) may acquire COVID-19 from the community or from possibly infected patients. It is important to gather data with respect to this to further understand the prevalence of asymptomatic carriage in individuals who work in research facilities, offices and clinical areas of hospitals and research facilities/institutes since this has important implications for infection control, as well as staff and patient safety. The purpose of this study is to test whether a proportion of these individuals may be asymptomatic shedders of the COVID-19 virus.
Ultomiris (Ravulizumab), is a monoclonal antibody that specifically targets terminal complement products and is proposed for the treatment of COVID-19 induced microvasculature injury and endothelial damage leading to thrombotic microangiopathy (TMA) causing acute kidney injury (AKI). Ravulizumab is to be used for participants with a confirmed diagnosis of COVID-19 who clinically or diagnostically present with deteriorating renal function. Ravulizumab causes immediate and sustained inhibition of the terminal complement cascade. The use of ravulizumab could ameliorate COVID-19 induced kidney injury due to TMA, shorten hospital stay, and improve the overall survival.
This is a multicenter, non-interventional, retrospective study using data captured in the EHRs (Electronic Health Records) of the participating hospital sites to determine factors that predict disease prognosis and outcomes in COVID-19 patients, specifically: Hospitalization/Off-site monitoring, transfer to ICU and/or need for medical mechanical ventilation (both invasive and non- invasive), length of ICU stay, and outcome (cure/ hospital discharge, in-hospital death)
The proposed study is designed to investigate if and how pregnant women infected with Coronavirus Disease-19 (COVID-19) infection go on to develop long-term immunity. In December 2019, a group of people in Wuhan, China presented with symptoms of a pneumonia of an unknown cause that led to the discovery of a new coronavirus called COVID-19. COVID-19 has caused a global pandemic with 7,140,000 confirmed cases and 418,000 deaths as of 13th June 2020. In the United Kingdom (UK), there have been 294,000 cases and 41,662 deaths as of 13th June 2020. In humans, this infection primarily involves the upper part of the lungs, but it can also affect other organs. It causes mild symptoms in the majority of people affected but some people can have severe infections, with some even requiring critical care in hospital. During Severe acute respiratory syndrome (SARS), a previous coronavirus epidemic, pregnant women were disproportionately affected with severe illness. Understanding how the immune system responds long-term to this infection may hold the key to developing better vaccines and efficient treatment plans. Specialised immunity develops when individuals are infected by this and other viruses. The investigators of this study propose that, in pregnancy, this specialised immunity may not behave effectively. This may affect their ability to develop long lasting immunity and make them more vulnerable to re-infection. In this study, the investigators aim to recruit patients across 6 groups including COVID-19 newly infected pregnant women, and people with differing illness severity, mild to moderate, severe/critical, no infection (controls), as well as pregnant women with influenza and those receiving influenza vaccine. The study team will compare COVID-19 in pregnancy with non-pregnant infected and with influenza infected and vaccinated pregnant women. The study team will consent patients in all of these groups to provide a series of blood samples at different time points in a 12-month period.
The purpose of this study is to prove the efficacy and safety Surfactant-BL, administered by inhalation in adult hospitalized patients with ARDS due to COVID-19.
Upper respiratory swabs, such as the nasopharyngeal (NP) swab, have so far been major specimen sources used for the SARS-COV-2 molecular test. However, due to the discomfort and invasiveness of NP collection, and the expense of personal protective equipment, alternative sampling sources such as saliva are desired. The purpose of this proposed study is: 1) to examine whether saliva can be used as an specimen for the SARS-COV-2 molecular test; 2) to test if gingival crevicular fluids is a reliable specimen for the SARS-COV-2 antibodies.
Randomized, double-blind (blinded for the trial subject and the study physician), placebo controlled, multi-center clinical trial in parallel assignment of efficacy, immunogenicity, and safety of the Gam-COVID-Vac combined vector vaccine against the SARS-CoV-2-induced coronavirus infection in adults in the SARS-СoV-2 infection prophylactic treatment.
This study aims to determine how long COVID-19 neutralizing antibodies can be detected in an elderly institutionalized population presenting fragility factors. This study also aims to stratify seroconversion by immunological profiles of the elderly patients residing in the EHPAD. This stratification requires the measurement of immunological marker levels already described in immunosenescence and also involved in the development of certain chronic infectious diseases more common in the elderly population. This analysis will enable the investigators to describe an immunological, clinical and biological profile representing a patient who has developed an immunity against COVID 19. It will also help the investigators to understand the different mechanisms leading to a reduced immune response after a potential administration of a vaccine. Finally, it will help describe the immune profiles of elderly residents who presented with non-severe forms of COVID-19.
This study investigates the diagnostic performance of an AI algorithm in the detection of COVID-19 pneumonia on chest radiographs.