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 180 of 233Zoé van Kempen
Rationale: Patients with MS are possibly more vulnerable to infection with SARS-CoV-2. Furthermore the use of immunomodulatory treatment could have an effect on the course of COVID-19 disease. This has resulted in an alteration of current immunomodulatory treatment strategies and delaying the start of certain medications, which could induce MS disease activity. However, certain immunomodulatory treatments are also hypothesized to have a positive effect on COVID-19 disease. Besides lack of information regarding the effects of MS treatments on COVID-19, there is significant uncertainty in how we should advise MS patients in terms of self-isolation, resulting in many patients staying at home reluctant to perform their work or other daily activities. Nationally and locally, we are collecting information regarding COVID-19 in MS patients but numbers are low and only those who are severely affected are tested. Furthermore, there is no information regarding SARS-CoV-2 immunity in MS patients, which could be affected by certain MS treatments. Consequently, there is an urgent need for reliable information about infection rates/immunity and course of COVID-19 in relation to MS characteristics and treatments. Objectives: The objectives of this study are 1. to study the course of COVID-19 in MS patients in relation to immunomodulatory treatment and other patient and MS characteristics and 2. to study the proportion of MS patients with SARS-CoV-2 antibodies and 3. to establish the antibody profile in positive tested patients and 4. to study the longitudinal course of these antibody profiles in positive tested patients. Study design: This is a mono-center cohort study in patients of the MS Center Amsterdam. Study population: All patients with a diagnosis of MS currently under follow-up in the Amsterdam MS Center. Intervention (if applicable): Single venous puncture for drawing blood and questionnaire. For a minority of patients (max 25%) who test positive for antibodies we will draw blood a again with questionnaires after six and twelve months. Main study parameters/endpoints: Course of COVID-19 in MS patients in relation to MS immunomodulatory treatment.
Tomsk National Research Medical Center of the Russian Academy of Sciences
The primary objective of the study is to assess the cardiac status of COVID-19 pneumonia patients during 1 year after discharge
Fondation Lenval
In the context of a viral outbreak and of widespread quarantine measures, a significant increase in psychological disorders, such as stress or fear behaviours, had previously been observed. This distress has been described on adults, but no data have been collected yet for paediatric populations. After a traumatic event, children and adolescents may present several clinical consequences, the most common being Post-Traumatic Stress Disorder (PTSD). Moreover, PTSD in children and adolescents is often associated with comorbid disorders, such Attention Deficit Hyperactivity Disorder, depression, attachment and anxiety disorders, sleep disturbances and behavior problems. The aim of this study is to present the methodology of "CoCo 20" : is to assess the impact of the pandemic of coronavirus disease 2019 (Covid-19) and of seclusion measures on mental health and on the development of psychological disorders in children in the short to medium term
University of Liege
During the first part of the SRAS-COV2 pandemic, families were not allowed to visit the patients in ICU. We know that families can develop "Family-PICS" after their relatives' ICU stay. The aim of the study is to study the psychosocial outcomes of families of patients who were admitted in ICU for COVID-19 during the pandemic. The second objective was to search for any differences in outcomes whether families benefited from video-conferences with the medical team and their relatives or not during the ICU stay.
Corporacion Parc Tauli
Ycovid-19 aims to be a rapid diagnostic test for SARS-CoV-2 infection, which will allow a reliable diagnosis to be made in 10 minutes, and on easy-to-use devices. This test will be developed using innovative technology developed at the Parc Taulí University Hospital, which increases the immunogenicity of SARS-CoV-2 differential antigens. The increased immunogenicity of these antigens will allow to detect, with a high sensitivity and specificity, the antibodies in the serum of patients infected with SARS-CoV-2. This test will serve to confirm dubious results as well as reduce false negatives from the PCR test, which will ultimately help reduce transmission of the infection.
University 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.
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.
Egyptian Biomedical Research Network
Boswellia Serrata gum and Licorice extract are two nutritional agents that have pharmacological actions that could support the medical intervention for COVID-19. They have broad antiviral activity, anti-inflammatory, anti-lung injury, antibacterial activity, antithrombic formation, and immunomodulatory activity. The study will be conducted after January 18, 2017
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