Around the world, researchers are working extremely hard to develop new treatments and interventions for COVID-19 with new clinical trials opening nearly every day. This directory provides you with information, including enrollment detail, about these trials. In some cases, researchers are able to offer expanded access (sometimes called compassionate use) to an investigational drug when a patient cannot participate in a clinical trial.
The information provided here is drawn from ClinicalTrials.gov. If you do not find a satisfactory expanded access program here, please search in our COVID Company Directory. Some companies consider expanded access requests for single patients, even if they do not show an active expanded access listing in this database. Please contact the company directly to explore the possibility of expanded access.
Emergency INDs
To learn how to apply for expanded access, please visit our Guides designed to walk healthcare providers, patients and/or caregivers through the process of applying for expanded access. Please note that given the situation with COVID-19 and the need to move as fast as possible, many physicians are requesting expanded access for emergency use. In these cases, FDA will authorize treatment by telephone and treatment can start immediately. For more details, consult FDA guidance. Emergency IND is the common route that patients are receiving convalescent plasma.
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Displaying 1080 of 1127Assistance Publique - Hôpitaux de Paris
The purpose of this case-control study is to assess the association of the current and former consumption of tobacco and nicotine in the risk of acquisition of severe acute respiratory syndrome 2 (SARS-CoV-2). the investigators will send a structured interview by mail regarding use of tobacco and nicotine to 2500 healthcare workers (1250 cases with a positive Real Time Polymorphism Chain Reaction (RT-PCR) and 1250 controls with a negative PCR) who were tested in Paris for in March and April, 2020. OR will be estimated by conditional logistic regression modelling with matching for sex and age.
National Institute of Allergy and Infectious Diseases (NIAID)
This is a platform trial to conduct a series of randomized, double-blind, placebo-controlled trials using common assessments and endpoints in hospitalized adults diagnosed with Coronavirus Disease 2019 (COVID-19). Big Effect Trial (BET) is a proof-of-concept study with the intent of identifying promising treatments to enter a more definitive study. The study will be conducted in up to 70 domestic sites and 5 international sites. The study will compare different investigational therapeutic agents to a common control arm and determine which have relatively large effects. In order to maintain the double blind, each intervention will have a matched placebo. However, the control arm will be shared between interventions and may include participants receiving the matched placebo for a different intervention. The goal is not to determine clear statistical significance for an intervention, but rather to determine which products have clinical data suggestive of efficacy and should be moved quickly into larger studies. Estimates produced from BET will provide an improved basis for designing the larger trial, in terms of sample size and endpoint selection. Products with little indication of efficacy will be dropped on the basis of interim evaluations. In addition, some interventions may be discontinued on the basis of interim futility or efficacy analyses. One or more interventions may be started at any time. The number of interventions enrolling are programmatic decisions and will be based on the number of sites and the pace of enrollment. At the time of enrollment, subjects will be randomized to receive any one of the active arms they are eligible for or placebo. Approximately 200 (100 treatment and 100 shared placebo) subjects will be assigned to each arm entering the platform and a given site will generally have no more than 3 interventions at once. The BET-B stage will evaluate the combination of remdesivir with lenzilumab vs remdesivir with a lenzilumab placebo. The primary objective is to evaluate the clinical efficacy of different investigational therapeutics relative to the control arm in adults hospitalized with COVID-19 according to clinical status (8-point ordinal scale) at Day 8.
National Institute of Allergy and Infectious Diseases (NIAID)
This is a platform trial to conduct a series of randomized, double-blind, placebo-controlled trials using common assessments and endpoints in hospitalized adults diagnosed with Coronavirus Disease 2019 (COVID-19). Big Effect Trial (BET) is a proof-of-concept study with the intent of identifying promising treatments to enter a more definitive study. The study will be conducted in up to 70 domestic sites and 5 international sites. The study will compare different investigational therapeutic agents to a common control arm and determine which have relatively large effects. In order to maintain the double blind, each intervention will have a matched placebo. However, the control arm will be shared between interventions and may include participants receiving the matched placebo for a different intervention. The goal is not to determine clear statistical significance for an intervention, but rather to determine which products have clinical data suggestive of efficacy and should be moved quickly into larger studies. Estimates produced from BET will provide an improved basis for designing the larger trial, in terms of sample size and endpoint selection. Products with little indication of efficacy will be dropped on the basis of interim evaluations. In addition, some interventions may be discontinued on the basis of interim futility or efficacy analyses. One or more interventions may be started at any time. The number of interventions enrolling are programmatic decisions and will be based on the number of sites and the pace of enrollment. At the time of enrollment, subjects will be randomized to receive any one of the active arms they are eligible for or placebo. Approximately 200 (100 treatment and 100 shared placebo) subjects will be assigned to each arm entering the platform and a given site will generally have no more than 3 interventions at once. The BET-A stage will evaluate the combination of remdesivir with risankizumab vs remdesivir with a risankizumab placebo. The primary objective is to evaluate the clinical efficacy of different investigational therapeutics relative to the control arm in adults hospitalized with COVID-19 according to clinical status (8-point ordinal scale) at Day 8.
Hengenix Biotech Inc
A Randomized, Double-Blind, Placebo-Controlled, Dose-Escalating Phase I Clinical Study to Evaluate the Safety, Tolerability, Pharmacodynamics, Pharmacokinetics, and Immunogenicity of HLX71 in Healthy Adult Subjects
University of Manchester
Wearing face coverings in enclosed public spaces is a key public health measure to limit viral spread during the 2020 Covid-19 pandemic. Health psychologists are interested in developing interventions that can increase the likelihood of health-adherent and protective behaviours being consistently undertaken at a general population level. Mental imagery interventions are one way in which behavioural scientists and health psychologists try to encourage behaviour change. Mental imagery involves thinking about, and then writing about, anticipated positive outcomes or key practical requirements of a defined health-related action (e.g. 'moderate alcohol consumption'; 'engaging in regular physical activity'). For this project, the investigators are exploring a mental imagery intervention created to encourage regular and consistent wearing of face coverings in public places where this is currently required in the UK. The investigators will test whether engaging in a mental imagery exercise results in any improvement in wearing a face covering (or intention to wear a face covering) one month later relative to reading a public health message about face coverings. In addition, the investigators will explore belief-based and personality-related factors that might make a difference to the effectiveness of the mental imagery intervention.
Ebru Calik Kutukcu
COVID-19 is an emergency situation which broke out from China in 2020. Health commitees and goverment set some rules and limit people's freedom to leave from their houses and it is called as 'social isolation'.Staying at home and disease bring about sedentary lifestyle, anxiety and depression and changed eating habits of all person. Hypertension is an important cardiovasculary risk factor and physical activity, stress managament are very important for disease control. In that study we aimed to assess hypertensive and healthy person's anxiety level, physical activity and qualit of life level during COVID-19 social isolation.
University Hospitals of Derby and Burton NHS Foundation Trust
This is a prospective observational parallel group cohort study that will aim to recruit 220 participants who were admitted to the hospital with COVID-19 between 1st March 2020 and 30th June 2020 (Group A - 110 participants who had COVID-19 with AKI; Group B - 110 participants who had COVID-19 without AKI). Data from groups A and B will be compared with AKI and non-AKI groups from an existing study database (ARID study, n=1125) who were recruited before the outbreak of the COVID-19 pandemic (recruitment 2013-2016) and who have all completed at least three years of follow up. Participants who have recovered from COVID-19 will be matched for analysis to participants from the ARID study for AKI status, baseline estimated glomerular filtration rate (eGFR) stage, age (± 5 years) and presence of diabetes. Potential participants will receive a letter of invitation along with a comprehensive participant information sheet (PIS).
University Hospital, Toulouse
Teleconsultation (TLC) being a new method of anesthesia consultation, deployed as an emergency in healthcare facilities in the Covid context, it has never been evaluated either in terms of feasibility or in terms of quality. An initial assessment will highlight the pitfalls and difficulties encountered and suggest areas for improvement.
Siew Chien NG
In December 2019, a cluster of pneumonia cases of unidentified cause emerged in Wuhan,was identified as the culprit of this disease currently being identified as "Coronavirus Disease 2019" (COVID-19) by World Health Organization. Coronavirus was found to not only target the patient's lungs but also multiple organs. Around 2-33% of Coronavirus Disease-19 patients developed gastrointestinal symptoms. Studies have shown that Severe acute respiratory syndrome coronavirus 2 (SAR-CoV-2) was found in patient's feces, suggesting that the virus can spread through feces. In our previous study, stool samples from 15 patients with COVID-19 were analysed. Depleted symbionts and gut dysbiosis were noted even after patients were detected negative of SARS-CoV-2. A series of microbiota were correlated inversely with the disease severity and virus load. Gut microbiota could play a role in modulating host immune response and potentially influence disease severity and outcomes. The investigators are uncertain about the impact of synbiotic on patients with COVID-19. However, a therapeutic strategy aiming at investigating the gut Imicrobiota of patients with COVID-9 who take synbiotic or not, leading to lesser progression to severe disease, less hospital stay and improved quality of life.
University of Valencia
One of the major problems in suppressing the spreading of an epidemic resides in understanding and monitoring its propagation patterns, and in evaluating how these are modified by enforced policies. The standard solution requires detailed information at the microscopic scales, e.g. how infected people have moved and whom they came in contact with, which is hardly ever available. The researchers propose a novel approach to the study of the propagation of COVID-19, in which a proxy of this information is derived at macroscopic scales. This will be based on two ingredients: the spatiotemporal study in shiny with mathematical models with aggregated or non aggregated data and the reconstruction of functional networks of spreading patterns, and the development of a supporting software.