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 360 of 1447Sorrento 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.
Stanford University
The purpose of this study is to assess the use of technology including remote vital sign monitoring in improving quality of patient care, decreasing hospital admissions and re-admissions, decreasing hospital length of stay and decreasing use of personal protective equipment.
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.
National Cancer Institute (NCI)
This phase I trial investigates breathing techniques and meditation for health care workers during COVID-19 pandemic. Breathing techniques and medication may help manage stress and improve lung health. The goal of this trial is to learn if breathing techniques and meditation may help to reduce stress and improve lung health in health care workers during the COVID-19 pandemic.
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.
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.