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 60 of 212Surgical Systems Research Group
To respond to the COVID-19 pandemic, investigators will be deploying community health workers, equipped with mobile technology, and accompanied by youth to visit households door to door to screen for symptoms of COVID-19, isolate, test, and manage suspected cases of COVID-19. The community health workers and youth will educate households about preventive measures including frequent handwashing and home management of mild cases. Simultaneously, investigators will work with nurses, doctors, and clinical officers, to test and treat more severe cases of COVID-19 in health facilities. Our goals are: to visit every household in Siaya county covering a population of close to 1 million, and to train and support health workers working in 32 health facilities with oxygen capacity in Siaya to reduce the morbidity and mortality related to COVID19 and other conditions.
National Cancer Institute (NCI)
This study investigates the well-being and health-related quality of life in cancer patients and survivors during the COVID-19 pandemic. Using questionnaires may help researchers gain an understanding of how experiences during the COVID-19 pandemic (e.g., exposure, risk factors, testing, isolation, seropositivity, hospitalization, loss of family or friends, loss of income), may impact multiple domains of health-related quality of life (physical, emotional and social well-being), and other areas such as COVID-19-specific psychological distress (e.g., fear, anxiety and depressive symptoms), and disruptions to health care, finances, and social interactions.
National Cancer Institute (NCI)
This study investigates the impact of the COVID-19 pandemic on the psychosocial health of employees of MD Anderson Cancer Center. Epidemics have been shown to promote psychological stress among medical staff in high risk areas, which may lead to mental health problems. Assessing how the pandemic is affecting employees may allow for more comprehensive actions to be taken to protect the mental health of employees.
Restem, LLC.
ULSC-CV-01 is a clinical trial that comprises both Phase 1 and Phase 2a, which will be conducted sequentially. This trial will evaluate the safety and potential efficacy of allogeneic Umbilical Cord Lining Stem Cells (ULSC), which are a type of umbilical cord tissue derived mesenchymal stem cells (MSC), with intravenous (IV) administration in hospitalized patients with acute respiratory distress syndrome (ARDS) due to COVID-19.
Karolinska Institutet
In a cohort study, the investigators aim to compare confirmed COVID-19 patients with non-COVID-19 patients who undergo surgical treatment and study factors associated with good or bad outcomes.
University Hospital, Strasbourg, France
North-east area of France was hit in February 2020 by the new coronavirus disease, more severely than other French regions. Factors affecting the evolution of the disease and its severity have been quickly identified, among them figuring different kinds of immune deficiency. Even if nowadays HIV infection is usually well controlled by ARV drugs, those patients with uncontrolled viral load and/or low CD4 cell counts, remain at higher risk of severe COVID infection. In this context, the primary objective of our study is aimed at evaluating the prevalence of SARS-CoV-2 antibodies in a cohort of HIV-infected patients followed-up in an HIV-infection care center. Secondary objectives are: evaluating whether the antibodies are protective or not, the kinetic of these antibodies, and HIV associated factors with the presence of antibodies.
M.D. Anderson Cancer Center
This study investigates a new diagnostic test in detecting SARS-CoV-2, the virus that causes the disease COVID-19. This may help to improve testing for COVID-19.
Hull University Teaching Hospitals NHS Trust
Since initial reports of a novel coronavirus emerged from Hubei province, China, the world has been engulfed by a pandemic with over 3 million cases and 225,000 deaths by 30th April 2020. Health care systems around the world have struggled to cope with the number of patients presenting with COVID-19 (the disease caused by the SARS-CoV-2 virus). Although the majority of people infected with the virus have a mild disease, around 20% experience a more severe illness leading to hospital admission and sometimes require treatment in intensive care. People that survive severe COVID-19 are likely to have persistent health problems that would benefit from rehabilitation. Pulmonary rehabilitation (PR) is a multidisciplinary program which is designed to improve physical and social performance and is typically provided for people with chronic lung conditions. PR courses typically last 6-12 weeks with patients attending classes once or twice weekly and consist of exercise and education components. PR is known to improve symptoms (e.g. breathlessness), quality of life and ability to exercise in those with lung conditions. Breathlessness is a very common symptom reported by people presenting to hospital with COVID-19 and loss of physical fitness will be very common. Using existing pulmonary rehabilitation programmes as a model, we have developed a tele-rehabilitation programme (a programme that will be delivered using video link to overcome the challenges faced by social distancing and shielding advice) for people that have been critically ill with COVID-19. In order to prove whether people benefit from this tele-rehabilitation programme after being admitted to hospital following COVID-19 we would need to perform a large clinical trial. However, before doing this it is important for us to answer some key questions: - How many people that have been admitted to hospital and needed intensive care treatment for COVID-19 still report breathlessness, fatigue, cough and limitation of activities after being discharged from hospital? - Is it possible to recruit these people to a trial of tele-rehabilitation after hospital discharge? - Are people willing and able to perform tele-rehabilitation in their own home using video-link to connect with their therapist? - Are there other rehabilitation needs that are commonly encountered by people requiring intensive care treatment for COVID-19 that could be addressed by tele-rehabilitation that the programme doesn't currently address? Investigators will perform a small study called a feasibility trial to answer these questions and gather some early information about possible benefits of tele-rehabilitation. Based on our understanding of other similar diseases, doctors and therapists think that people will benefit from rehabilitation after COVID-19. The investigators therefore want to test a trial design that makes sure that everyone gets the treatment. This type of trial is called a feasibility, wait-list design randomised controlled trial. People with breathlessness and some limitation of activities will be selected at random to receive tele-rehabilitation within 2 weeks or to wait 6-8 weeks before starting. how many people were eligible to take part, how many agreed to take part and the symptoms and rehabilitation needs that they have will be assessed. Investigators will then monitor symptoms and ability to exercise at the start and end of the trial and before and after tele-rehabilitation.
Imperial College London
Coronavirus Disease 2019 (COVID-19) has been widespread worldwide since December 2019. It is highly contagious, and severe cases can lead to acute respiratory distress or multiple organ failure. On 11 March 2020, the WHO made the assessment that COVID-19 can be characterised as a pandemic. With the development of machine learning, deep learning based artificial intelligence (AI) technology has demonstrated tremendous success in the field of medical data analysis due to its capacity of extracting rich features from imaging and complex clinical datasets. In this study, we aim to use clinical data collected as part of routine clinical care (heart tracings, X-rays and CT scans) to train artificial intelligence and machine learning algorithms, to accurately predict the course of disease in patients with Covid-19 infection, using these datasets.
Hospital Galdakao-Usansolo
1. Objectives: 1.-To create risk stratification scales of poor evolution in patients infected by SARS-CoV-2. 2.-Evaluate the accessibility and equity that these patients have had in the different care processes, diagnostic and therapeutic procedures, with special interest in patients who came from residences, by age, gender or geographic origin.3.-Evaluate the effectiveness of different therapeutic schemes that have been used in this pandemic. 4.-Evaluate the effectiveness of different diagnostic tests used to predict the poor evolution of these patients 5.- Evaluate the real costs associated with the treatment of hospitalized patients with COVID-19 ; 2. Methods: Information will be recorded from electronic medical record: epidemiological data, onset of symptoms, comorbidities and their treatments, symptoms, analytical data, vital signs, tests performed, treatments during admission and evolution up to 3 months after discharge. Statistical analysis: The investigators will use classic survival models, logistic regression, generalized linear models and also analysis using artificial intelligence techniques . Health care costs are assessed. Applications for decision making will be derived as a product.