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 290 of 1092Ministerio de Salud de Ciudad Autónoma de Buenos Aires
The pandemic of a new coronavirus SARS-COV-2, which causes COVID-19 disease, has spread rapidly and is a major public health challenge. While the focus is primarily on containing the number of cases and finding alternative therapies, information is still lacking to elucidate the dynamics of viral circulation and to understand the distribution of the infection in the population. The cases reported in Argentina and worldwide could plausibly represent only a small proportion of the number of asymptomatic or poorly symptomatic cases that exist in society. However, the magnitude of this dissociation between symptomatic cases and asymptomatic persons is unknown. Knowing this information is of strategic importance as it will allow the estimation of a community prevalence and the evaluation of the best containment strategy. In fact, although all social distancing measures are now indispensable, the feasibility of prolonging the measure over time is a complex issue and in any case will require population-based information. The best way to approach the estimation of a true population prevalence is to take representative samples from the population and test them periodically. These experiences were carried out in other contexts showing heterogeneous results within the community studied. In Spain, for example, the range of antibodies present in the population varied from 1.1% to 14.2%, also showing that an important part of the population had had contact with the virus without symptoms. Studies in Switzerland and the United States also show similar findings. However, these estimates are not automatically transferable to other settings. The city of Buenos Aires has a particular demographic composition with an important group of the population living in shantytowns (it is estimated that between 7% and 10% of the population lives in shantytowns) and with much heterogeneity among the different communes of the city. In the villas, the incidence rates of COVID-19 infection differ significantly from those present in the group "outside the village". However, there is also an important difference in the incidence rates by commune, even without considering the villas. Thus, it is important to know the sero-epidemiology of antibodies against SARS-COV2 in a representative sample of the city of Buenos Aires. For this purpose, a nationally produced test (COVIDAR IgG) developed by professionals from CONICET and Instituto Leloir will be used. The aim of this initiative is to estimate the true dimension of the COVID-19 epidemic in the City of Buenos Aires, by studying the immunological status of the Buenos Aires population in relation to SARS-Cov2, as well as to observe the evolution of the infection among the population, since this information is essential to guide future public health measures related to the control of COVID-19. To achieve this objective, a comprehensive sero-epidemiological study will be carried out to provide estimates of past SARS-Cov2 infection with sufficient precision to be representative of the sero-epidemiological status of the Buenos Aires city population.
Hospital Sao Rafael
The COVID-19 pandemic is of grave concern due its impact on human health and on the economy. Propolis, a natural resin produced by bees from plant materials, has anti-inflammatory, immunomodulatory, anti-oxidant properties, and various aspects of the SARS-CoV-2 infection mechanism are potential targets for propolis compounds. Propolis components have inhibitory effects on the ACE2, TMPRSS2 and PAK1 signaling pathways; in addition, antiviral activity has been proven in vitro and in vivo. This is a pilot randomized study that aims to assess the impact of using Brazilian green propolis extract against the deleterious effects of the new coronavirus.
Sorrento Therapeutics, Inc.
This study is designed rapidly assess safety and preliminary efficacy in hospitalized patients with COVID-19 respiratory distress to provide clinical guidance for possible wider use in treating patients in this pandemic environment. This data will be used for FDA IND filings and pursuit of a BLA.
Presidency of Health Institute Turkey (TUSEB)
COVID-19 is an infectious disease caused by a newly discovered Coronavirus which was first identified in Wuhan, China in December 2019. Then the novel coronavirus outbreak was described and announced as a pandemic by World Health Organization (WHO) on March 11, 2020. Reverse transcription-polymerase chain reaction (RT-PCR) is currently the gold standard test for diagnosis of COVID-19. Nevertheless, due to its high false-negative rates (%10-50), diagnosis and treatment decisions do not depend on RT-PCR alone. Clinical presentation of patient and radiological findings are also important. However, neither clinical presentation nor computed tomography (CT) findings are specific for COVID-19. As a consequence of these challenges, the diagnosis of the disease and the protection of the community health become more difficult. The investigators of this study hypothesized that deep learning-based decision support system may help for definitive diagnosis of COVID-19. The aim is to develop a deep learning-based decision support system algorithm based on clinical presentation of patient, laboratory and CT findings and RT-PCR data. Previously, deep learning algorithms with the use of widely known deep neural network architectures such as Inception, UNet, ResNet were developed. However all of these studies were based on CT findings. There are not any deep learning study in literature combining the clinical, radiological, and laboratory findings of patients. The project is based on the available data of COVID-19 patients that will be obtained from the Ministry of Health. Then the data will be evaluated for relevance and reliability and labeled for the training of machine. Following the anonymization of data, data will be processed according to the predetermined inclusion-exclusion criteria. Thorax CT data will be labeled as typical / indeterminate / atypical / negative for COVID-19 pneumonia. Also, CT images of patients with known non-COVID-19 diseases will be labeled for the training of machine. Then, fever, lymphocyte count, neutrophil to lymphocyte ratio, contact information, RT-PCR findings will be labeled. Subsequently, the patients will be labeled and the machine will be trained with deep learning method with the help of this grouped and labeled data. Following the training phase, the algorithm will be tested and if the machine reaches the target specificity and sensitivity, the prototype will be tested. And then, the prototype will be embedded into the hospital software system. This software and algorithm will serve as an early warning system for clinicians and provide a better diagnostic rate especially with decreasing false-negative results. The effects of a pandemic cannot be measured by only the number of people diagnosed and isolated, or treatment provided. A pandemic affects not only community health but also individuals' psychological status, education, teaching methods, working models, daily lifestyles, producer/consumer behaviors, supply/demand balance; in other words every single area of life. On top of that, a pandemic causes long-term damages hard to reverse. The software will increase the diagnostic success rates, help to control the pandemic and minimize the collateral damages mentioned above. The investigators believe that, the product that will be produced at the end of this project will be of great benefit in controlling the secondary wave of COVID-19 expected to occur.
Kaleido Biosciences
This exploratory, open-label clinical study aims to explore the physiologic effects of KB109, a novel glycan, on adult patients with COVID-19 illness on gut microbiota structure and function in the outpatient setting.
Medigen Vaccine Biologics Corp.
This is a phase I prospective, open-labeled, single-center study to evaluate the safety and immunogenicity of MVC-COV1901.
HealthQuilt
Assess the impact of a proprietary extract of Nerium oleander on immune function as evidenced by COVID-19 symptoms and mortality in COVID-19 positive patients and their close contacts compared to controls that did not receive the extract.
Universidad Miguel Hernandez de Elche
The pressure on care and the demand for critical decision-making generated by the current SARS-CoV-2 (COVID-19) pandemic, together with the situation of extreme social alarm and the adverse conditions in which care work must be promoted at this time, draw an extreme scenario in which action is urgently needed to alleviate emotional overload, acute stress reactions and other affective pathologies or psychosomatic reactions that may eventually lead to post-traumatic stress situations. This eventuality is being observed massively among professionals from different groups and levels of responsibility. In the case of healthcare personnel, it should be added that the care of non-COVID19 patients (of all pathologies and conditions) is clearly compromised and it is up to the professionals as a whole to make critical decisions and exercise a professional practice that is radically different from what has usually been done, which may require the application of undesirable triage criteria that are difficult for everyone to assume. Healthcare professionals and other essential personnel for healthcare and social-healthcare work (including personnel from external companies) are being subjected to emotional tensions and extraordinary, high-intensity work demands. Without professionals who feel supported and with moral strength, care will be even more compromised. The current scenario makes us think of many critical situations that are occurring as a result of the overload experienced. It is essential to act in order to counteract the devastating effect of this health crisis on health professionals and those who support them in their care work.
Research Foundation for Mental Hygiene, Inc.
Coronavirus disease 2019 (COVID-19) has widely and rapidly spread around the world, overwhelming intensive care units and health care capacity. While the physical risk (e.g. pneumonia, respiratory breakdown) is getting the most scientific and clinical attention, this outbreak also has significant mental health risks and extreme psychological fear-related responses. Among the general population, there are high-risk groups as elderly people, disabled individuals and people with previous exposure to trauma (e.g., people with military experience). Veterans are among the subgroups who are high risk for PTSD and other mental health problem. The overarching goal of this study is to examine the efficacy of an online, largescale, brief video-based intervention in reducing fear and stress and improving help seeking behavior in relate to COVID-19.
Boston University
The current study will examine the impact of frequent social interaction through communication technologies during COVID-19 pandemic in the cognitive status of socially-isolated older adults with and without cognitive impairment. Patients will take place in an experimental crossover study, participants will complete one month of an intervention and one month of as passive control. The goal of this study is to determine: A.) if frequent social interaction through ICT during COVID-19 pandemic will have a significant positive impact in cognitive performance on testing, and B.) how social isolation and cognitive status influence misconceptions around the current pandemic.