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 90 of 424Università degli Studi dell'Insubria
SARS-CoV-2 belong to beta-coronavirus family and its transmission route and symptoms follow those of all community-acquired coronaviruses. The main difference of the novel Coronavirus is the higher mortality rate, that is around 3%. Death rate is over 1% only for patients over 50 years old, whereas until 40 years old is under 0,4%. No fatalities are declared among children under 10 years old to date. Death rate is almost double for male rather than female. This distribution of mortality rate according to age of infected patients could be only partially ascribed to other comorbidities in addition to great age. In fact, patients with no pre-existing conditions have however a case fatality rate of 0,9%. The almost null rate of severe illness in children and generally in patients younger than 40 years old is quite un-explicable. Infant, children and young people could be infected but infection is rapidly self-limited or without symptoms. Older patients undergo severe lung injury as consequence of an immune response that is late in coming. Possible explanation of these phenomena could be something, which assure ability to prompt response to SARS-CoV-2 in younger people independently from the novelty of the virus itself. It would seem to be that younger people are already sensitized to the antigens of the virus without a previous contact. This immunity is not really specific, but "partially specific" for many antigens of the virus, however able to limit the infection in the organism. Something stimulated the immune system and it scattered immunity against more and more antigens present. Children are the age group mostly exposed to all community-circulating viruses. This immunity is not persistent but progressively fade out. It protects from the age of two, when the hypothetical stimulation occurs, to the fifth decade because of its slow decrease. The only external stimulation, which healthy people receive are vaccines. All vaccinations and especially tetanic, diphtheria toxoids and inactivated bacteria as pertussis could stimulate immune system. They develop the specific immunity but generate also a sprouting immunity against antigens in transit, as coronaviruses and other community-circulating viruses. The developed immunity gives some protection against multiple viral infection for years until the natural fade out. After the fifth decade, that immunity is slower to be recall and reactivated. Additionally, transplant recipients and HIV infected patients, which have an immune system inhibited, unexpectedly, do not seem to suffer the worst complications of SARS-CoV-2 infection. An immune system imbalance could be play a pivotal role during the reaction to the virus, limiting destructive consequences of excessive inflammation. According to the medical hypothesis on which the protocol is based on, young people could benefit from a functional adaptation of innate immune cells induced through epigenetic reprogramming and, especially, a pre-existing "partially specific" immunity to the community viruses caused by "bystander effect" of preceding vaccinations. In this study, we will explore the main differences existing among patients infected by SARS-CoV-2 who experience the illness at different degree of severity. We suppose to recognize different populations of patients, each one with a specific immunological pattern. It could differ in terms of cytokines, soluble factors serum level and immune cells activity both of the innate compartment and of the acquired one. The proof of a role of these immunological phenomena in the pathogenesis of Covid-19 are bases for implementation of therapeutic immunomodulatory treatments. In addition, the definition of an immunological risk profile could tailor established therapies to each kind of patient.
Hospices Civils de Lyon
Covid-SER is a prospective multi-center study for the evaluation of diagnostic performance of available serological tests
Mayo Clinic
The purpose of the study is to develop a clinical test based on breath analysis that can be used for disease diagnosis or prognosis.
Henry Ford Health System
This is a prospective, multi-site study designed to evaluate whether the use of hydroxychloroquine in healthcare workers (HCW), Nursing Home Workers (NHW), first responders (FR), and Detroit Department of Transportation bus drivers (DDOT) in SE, Michigan, can prevent the acquisition, symptoms and clinical COVID-19 infection The primary objective of this study is to determine whether the use of daily or weekly oral hydroxychloroquine (HCQ) therapy will prevent SARS-CoV-2 infection and COVID-19 viremia and clinical COVID-19 infection healthcare workers (HCW) and first responders (FR) (EMS, Fire, Police, bus drivers) in Southeast Michigan. Preventing COVID-19 transmission to HCW, FR, and Detroit Department of Transportation (DDOT) bus drivers is a critical step in preserving the health care and first responder force, the prevention of COVID-19 transmission in health care facilities, with the potential to preserve thousands of lives in addition to sustaining health care systems and civil services both nationally and globally. If efficacious, further studies on the use of hydroxychloroquine to prevent COVID-19 in the general population could be undertaken, with a potential impact on hundreds of thousands of lives.
Poitiers University Hospital
All patients included in this search will be on anonymized file: Symptomatic patients consulting for suspicion of COVID 19 with indication to a screening (RT-PCR, Scanner) according to the criteria of the Ministry of Health. To evaluate the diagnostic performance of chest CT in screening for COVID-related lung injury in patients with a clinical suspicion of COVID. CT scan results for COVID according to French thoracic imaging society will be dichotomized into evocative or compatible (considered positive) non-evocative (considered negative) The results will be compared to the gold standard corresponding to a multiparametric element: the discharge summary. Ct Scan performance will be recorded and analyzed.
University of Colorado, Denver
The current COVID-19 pandemic is providing healthcare organizations with considerable challenges and opportunities for rapid cycle improvement efforts, in diagnostic and patient management arenas. Healthcare providers are tasked with limiting the use of personal protective equipment while minimizing unnecessary exposures to the virus. Results from real-time PCR tests to detect active COVID-19 infections may not be available in a timely fashion during emergent trauma assessments. Since the start of the COVID-19 pandemic, a rapidly expanding body of literature has identified a pattern of imaged lung abnormalities with CT and ultrasound (US) characteristic of an active viral infection. US evaluation provides a reliable, portable, and reproducible way of evaluating acute patients in a real time setting. During initial trauma evaluations, patients may also receive adjunct imaging modalities like the Focused Assessment with Sonography in Trauma (FAST) exam designed to discover life threatening findings that may require urgent interventions. We therefore propose a study expanding on the current FAST adjunct evaluation in the trauma bay that may include lung parenchyma imaging at the initial assessment to help stratify patients into low or high-risk groups for active COVID-19 infections. We believe the use of point of care US in the initial assessment of the trauma patient may help identify potentially infected individuals and aid ED providers to best directing subsequent laboratory and imaging evaluations for these patients, while further directing the necessary protective measures for additional team members involved in the care of the injured patient.
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.
Port Said University
Clinical Picture: Symptomatic COVID-19 presents with a recognizable clinical syndrome that is predictable prior to testing. Clinical judgement remains important, particularly when interpreting negative test results; 2. Biomarkers Associated with COVID-19 Patients: The most common laboratory features reported in patients with COVID-19
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.