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.
Search Tips
To search this directory, simply type a drug name, condition, company name, location, or other term of your choice into the search bar and click SEARCH. For broadest results, type the terms without quotation marks; to narrow your search to an exact match, put your terms in quotation marks (e.g., “acute respiratory distress syndrome” or “ARDS”). You may opt to further streamline your search by using the Status of the study and Intervention Type options. Simply click one or more of those boxes to refine your search.
Displaying 360 of 1217Arcturus Therapeutics, Inc.
Determine safety and tolerability and immungenicity of investigational vaccine ARCT-021 in healthy adult volunteers.
Ministerio 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.
University of Kansas Medical Center
COVID-19 morbidity and mortality has been associated with Cytokine Release Syndrome (CRS) and Acute Respiratory Distress Syndrome (ARDS). ATI-450 is an oral small molecule MAPKAPK2 (MK2) inhibitor that potently inhibits multiple inflammatory cytokines. The investigator hypothesizes that MK2 pathway blockade during active COVID-19 infection in hospitalized participants will result in improvement in respiratory-failure free survival.
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.
The Claude D. Pepper Older Americans Independence Centers
This study assesses the clinical effectiveness of mammalian target of rapamycin (mTOR) inhibition with rapamycin in minimizing or decreasing the severity of acute lung injury/acute respiratory distress syndrome (ALI/ARDS) in participants infected with mild to moderate COVID-19 virus.
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.
D'Or Institute for Research and Education
The COVID-19 pandemic has been spreading continuously, and in Brazil, until July 19, 2020, there have been more than 2,000,000 cases with more than 79,000 deaths, with daily increases. The present study proposes to evaluate the efficacy of methylprednisolone and heparin in treatment of patients with COVID-19 pneumonia in a randomized, controlled, 2x2 factorial study.
Alfasigma S.p.A.
Problem: The COVID- 19 pandemic has not only affected our healthcare system, but the impact on the worldwide financial systems and our "normal" way of life is still to be determined. Although the percentage of patients infected with COVID-19 that need hospital care is low, Its high rate of contagiousness makes the total number of patients in need of hospital care cripple any healthcare system, limiting the space available for other patients in need of critical care, who cannot be admitted or even prefer not to attend the hospital in fear of infection. Early investigations report an Increase risk of thromboembolic complications, and a systemic inflammatory response not clearly understood. There is a possible vascular endothelial dysfunction due to chronic comorbidities (Hypertension, diabetes, obesity, chronic kidney disease, lung disease) as a risk factor for a more severe presentation. Justification: Sulodexide is a two-compound drug, each of them with different endothelial action that can be beneficial in COVID-19 patients. Glycosaminoglycans: Can help restore venous and arterial endothelial glycocalyx which can downregulate or limit the response to inflammatory molecules, by maintaining the integrity lost in certain chronic diseases (high blood pressure, diabetes). Heparin compound: It has an antithrombotic effect that could help reduce the incidence of thromboembolic complications, and also add to the anti-inflammatory response due to it anti-thrombin action (similar or a bit less to that of low molecular weight heparin) with less risk of major bleeding. It's a medication that can be used orally with minimal adverse effects and is less expensive than low molecular weight heparin. Hypothesis: We hypothesize that sulodexide instituted early in populations at significant risk and symptomatic patients affected with COVID-19 (shortness of breath, fever, weakness, diarrhoea) and risk factors of diabetes, hypertension, COPD, atherosclerosis, chronic kidney disease, will provide improvement in endothelial integrity, decrease inflammatory responses, and improved clinical outcomes with decreased hospital admission, decrease VTE and arterial complications, morbidity, and mortality. Objective: To use sulodexide in patients that have early onset of COVID-19 symptoms to mitigate the progression of the disease process that can allow them to recover at home, and limit the need of hospital care and a more severe clinical manifestation
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.
Romark Laboratories L.C.
Trial to Evaluate Efficacy and Safety of Nitazoxanide in the Treatment of Mild or Moderate COVID-19