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 500 of 637University Hospital, Basel, Switzerland
The study is to investigate the antibody response in the blood and saliva of people with a known COVID-19 infection in the canton of Baselland.
Arcturus 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.
Hackensack Meridian Health
The first-in-human Phase 1 study component will evaluate two dose levels of RAPA-501-ALLO off the shelf cells in patients with COVID-19-related ARDS, with key endpoints of safety, biologic and potential disease-modifying effects. The randomized, double-blind, placebo-controlled Phase 2b study component will evaluate infusion of RAPA-501 ALLO off the shelf cells or a control infusion, with the primary endpoint assessing whether RAPA-501 cells reduce 30-day mortality. The COVID-19 pandemic is a disaster playing out with progressive morbidity and mortality. As of April 6th, 2021, an estimated 132.1 million people have contracted the virus and 2,866,000 deaths have resulted globally. The United States has the highest totals with an estimated 30.8 million people diagnosed and 556,000 deaths. In stages 1 and 2 of COVID-19, viral propagation within the patient is predominant. As such, therapeutic interventions focus on immune molecules (convalescent serum, monoclonal antibodies) and anti-viral medications (remdesivir). In marked contrast, the most severe and deadly form of COVID-19, stage 3, is driven not by viral propagation, but by an out-of-control immune response (hyperinflammation) caused by increases in immune molecules known as cytokines and chemokines. As such, therapeutic interventions for stage 3 disease focus on anti-inflammatory medications such as anti-cytokine therapy (anti-IL-6 drugs) or corticosteroid therapy. Unfortunately, such interventions do not address the full pathogenesis of stage 3 COVID-19, which includes hyperinflammation due to "cytokine storm" and "chemokine storm," tissue damage, hypercoagulation, and multi-organ failure (including lung, heart, kidney and brain). The pulmonary component of stage 3 disease includes acute respiratory distress syndrome (ARDS), which is a final-common-pathway of patient death due to a myriad of conditions, including pneumonia, sepsis, and trauma. There is a dire need for novel cellular treatments that can deliver both a broad-based immune modulation effect and a tissue regenerative effect, such as RAPA-501-ALLO off-the-shelf allogeneic hybrid TREG/Th2 Cells. Stage 3 COVID-19 carries an estimated 30-day mortality of over 50% in spite of ICU utilization, mechanical ventilation, and supportive care therapies to manage ARDS and multiorgan failure. Narrowly acting targeted anti-inflammatory approaches such as anti-IL-6 therapeutics have not been particularly effective in stage 3 COVID-19 and the broad anti-inflammatory pharmaceutical approach of corticosteroid therapy, has only modestly tempered stage 3 disease in some studies. Cell therapy is also being evaluated in stage 3 COVID-19, in particular, mesenchymal stromal cells (MSC) and now, with the current RAPA-501-ALLO protocol, regulatory T (TREG) cells. TREG therapy has a mechanism of action that includes a multi-faceted anti-inflammatory effect, which puts TREG therapy at the forefront of future curative therapy of a wide range of autoimmune and neurodegenerative diseases, plus transplant complications, such as graft-versus-host disease (GVHD) and graft rejection. In addition, TREG therapy can provide a tissue regenerative effect, which places TREG cell therapy at the lead of novel regenerative medicine efforts to repair a myriad of tissue-based diseases, such as diseases of the skin, muscle, lung, liver, intestine, heart (myocardial infarction) and brain (stroke). RAPA-501-ALLO off-the-shelf cell therapy offers this potential dual threat mechanism of action that incorporates both anti-inflammatory and tissue repair effects for effective treatment of COVID-19 and multiple lethal conditions. RAPA-501-ALLO cells are generated from healthy volunteers, cryopreserved, banked, and are then available for off-the-shelf therapy anytime. During manufacturing, T cells are "reprogrammed" ex vivo using a novel, patented 7-day two-step process that involves T cell de-differentiation and subsequent re-differentiation towards the two key anti-inflammatory programs, the TREG and Th2 pathways, thus creating a "hybrid" product. The hybrid phenotype inhibits inflammatory pathways operational in COVID-19, including modulation of multiple cytokines and chemokines, which attract inflammatory cells into tissue for initiation of multi-organ damage. The hybrid TREG and Th2 phenotype of RAPA-501-ALLO cells cross-regulates Th1 and Th17 populations that initiate hyperinflammation of COVID-19. RAPA-501 immune modulation occurs in a T cell receptor independent manner, thus permitting off-the-shelf cell therapy. Finally, in experimental models of viral pneumonia and ARDS, TREG cells mediate a protective effect on the lung alveolar tissue. Because of this unique mechanism of action that involves both anti-inflammatory and tissue protective effects, the allogeneic RAPA-501 T cell product is particularly suited for evaluation in the setting of COVID-19-related ARDS.
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.
Regenexx, LLC
To evaluate and compare nebulized platelet lysate to placebo control of saline administered via handheld nebulizer 1x daily for eight weeks to determine effect on lung function in patients with post-COVID-19 ARDS syndrome.
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.
Hopital Foch
The current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is complicated by pneumonia (15 to 20% of cases) requiring hospitalization with oxygen therapy. Almost 20 to 25% of hospitalized patients require intensive care and resuscitation; half die. The main cause of death is acute respiratory distress syndrome (ARDS). However, some deaths have been linked to pulmonary embolism (PE). Recognition of PE is important because there is specific treatment to limit its own mortality. The identification of biological parameters of hemostasis predictive of thromboembolic disease is crucial in these patients. To evaluate the frequency of PE in the patients having to be hospitalized is to practice of a systematic thoracic angiography scanner in the patients having no contra-indication for its realization, as well as during hospitalization in patients deteriorating without any other obvious cause. The thromboembolic events and disturbances of the coagulation system described in patients with SARS-CoV-2 pneumonitis suggest that this viral infection is associated with an increase in the activation of coagulation contributing to the occurrence of thrombosis and especially from PE.
Medigen Vaccine Biologics Corp.
This is a phase I prospective, open-labeled, single-center study to evaluate the safety and immunogenicity of MVC-COV1901.
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.