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 390 of 499Sorrento 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.
University Hospitals, Leicester
COVID-19 has become a global problem. There is an urgent need to improve the diagnosis and screening of patients and healthcare workers for COVID-19 in the UK. Mask based sampling is a method of detecting SARS-COV-2 (the virus responsible for COVID-19) in the breath of suspected COVID-19 patients or healthcare workers in the mask that they would wear in hospital. The investigators have previously demonstrated the utility of this method in other respiratory infections, such as tuberculosis. This project aims to investigate the utility of mask-based sampling is a tool for the diagnosis and quantification of COVID-19 in breath and the implications in a healthcare setting using three cohorts of participants. Initially we will compare the amount of COVID-19 detected by mask sampling compared with standard nasopharyngeal swab, which is the current gold standard test, in patients who present to hospital with COVID-19 symptoms. We will address the length of time COVID-19 is breathed out by people affected by the virus and the how infectious the virus is over time in a cohort of symptomatic healthcare workers who are isolating at home. This will allow us to understand how long someone stays infectious for and may have the potential to inform public health measures, for instance when healthcare workers can return to work or duration of isolation. Finally we will investigate asymptomatic carriage of COVID-19 by different healthcare workers in different areas of the hospital during a screening study. This will allow us to understand the extent of infection amongst healthcare workers and allow us to address hospital acquired transmission.
University Hospital, Toulouse
There is a pandemic in the world by COVID-19. Currently, the pharmacological curative or prophylactic treatments for this infection are not known. Recent studies have suggested that Hydroxy-Chloroquine could be effective in vitro and in vivo against COVID-19. The main objective of this study is to assess in patients with autoimmune disease treated with long course Hydroxy-Chloroquine initiated before the pandemic COVID-19 had an independent protective effect on the risk or the severity of infection with COVID-19.
Medigen Vaccine Biologics Corp.
This is a phase I prospective, open-labeled, single-center study to evaluate the safety and immunogenicity of MVC-COV1901.
Beaufort
This multicentre prospective study will enroll a sufficient number of patients to afford approximately 60 positives and > 40 negatives (as determined by the SOC - Comparator method) in the United States and/or Canada. One to three sites in the United States and/or Canada will participate over an approximate 12-week enrolment period. The actual enrolment period will be dependent upon prevalence of Covid-19. Once positives sample size is achieved, expected SARC-CoV-2 negative subjects will be permitted. This study is observational and will not impact the medical management of the patient. The results of the Spartan Test will be blinded to the clinical staff during the study and will not impact the medical management of the subject. Once informed consent is obtained and eligibility is confirmed, subject demographics, and patient reported COVID-19 symptoms will be recorded. For the purposes of this study, enrolment will be defined as the collection of the two study-specific nasopharyngeal (NP) samples for Spartan's Test. Each patient's active involvement in the study will last for approximately 30 minutes. To support the EUA, a minimum of 30 individual natural positive clinical specimens will be collected from patients suspected of SARS-CoV-2 infection by a healthcare provider in COVID-19 disease endemic regions in the United States. Additionally, a minimum of 30 individual negative samples will also be used to support the EUA from patients in the United States. Once subjects are consented and recruited for the study, three nasopharyngeal samples for each patient will be collected by trained operators at the clinical site. The first sample will be tested at the clinical site according to standard of care protocols currently in place for the sites' nasopharyngeal swab-based SARS-CoV-2 RT-PCR testing. The second nasopharyngeal sample will be tested at the site using the Spartan COVID-19 v2 System. The third nasopharyngeal sample will be tested using the Spartan COVID-19 v2 System only when the test conducted with the second nasopharyngeal swab does not produce a positive or negative result. The sample for the SOC test will be collected prior to the samples for the Spartan COVID-19 v2 System as per clinical regulations.
Medicago
The study will be a randomized, partially-blinded, prime-boost, staggered dose-escalation Phase 1 study intended to assess the safety, tolerability, and immunogenicity of the Coronavirus-Like Particle COVID-19 Vaccine at three dose levels (3.75 µg, 7.5 µg, and 15 µg VLP) unadjuvanted or adjuvanted with either CpG 1018 or AS03 in healthy adults 18 to 55 years of age, who have been tested for the absence of SARS-CoV-2 antibodies. At each dose level, the vaccine will initially be administered to a small number of subjects. Vaccinations of the first 6 subjects at the lowest dose level will be staggered so that each vaccination must be performed at least 30 minutes apart. Vaccination of the remaining subjects at the same dose level and the next higher vaccine dose level will be administered with approval of the Independent Data Monitoring Committee (IDMC). The same process will be followed for the second vaccine administration. All subjects will be followed for a period of 12 months after the second administration of the vaccine for safety and immunogenicity testing at the end of the follow-up period.
Federal Research Clinical Center of Federal Medical & Biological Agency, Russia
As coronavirus disease 2019 (COVID-19) spreads across the world, the intensive care unit (ICU) community must prepare for the challenges associated with this pandemic. Providing an efficient care to the patients of the most severely affected category - intensive care unit (ICU) patients - has become one of the serious problems appearing in the COVID-19 pandemics. A typical patient's clinical portrait in ICU of COVID centers is very similar in different countries, however, the key to improve the treatment results for critically ill patients has not yet been found. Data on predictors of severe course in COVID-19 is limited. Knowledge of predictors of severe course of disease can lead to different selection of therapeutic strategy, determine the group of risk of patients for severe course of disease, and improve outcomes.
Central Hospital, Nancy, France
In order to inform the public decision on the containment strategy and knowledge of the intensity of the epidemic during post-containment, estimates of the share of the population infected with the SARS-CoV-2 virus responsible for COVID-19 disease at the territorial level are needed as soon as possible. The aim of the study is to estimate the prevalence of positive anti-SARS-CoV-2 serologies by detection of IgT-total antibodies (IgM/IgA/IgG) in the general population of the Grand Nancy Metropolitan area. A study of seroprevalence and symptom collection, or absence of symptoms, on a cluster (household) sample of the Grand Nancy Metropolitan population randomly selected will be conducted. The target population consists of all the inhabitants of the Grand Nancy Metropolitan area, from which a sample is drawn from the electoral lists (households) in a random manner to ensure representativeness. In order to ultimately include 2000 people in the study
Swiss School of Public Health (SSPH+)
There is a lack of knowledge about how many children are infected with SARS-CoV-2, how often they are asymptomatic, and how long the immunity persists. The main purpose of this study is to measure antibodies to SARS-CoV-2, symptoms, and risk factors in a representative cohort of children and adolescents in the canton of Zurich, Switzerland, shortly after re-opening of the school system and thereafter. The study also investigates antibodies to SARS-CoV-2 in parents of the children and school personnel.