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 50 of 188Sheba Medical Center
The aim of this preliminary study is to describe the potential decline in forced expiratory volume in 1 second (FEV1) or forced vital capacity (FVC) as measured by home spirometry in high-risk subjects infected with COVID-19. We hypothesize that the magnitude of such a decline in FEV1 and/or FVC may be associated with clinical deterioration and hospitalization. The study will ultimately inform a larger subsequent RCT that will evaluate the efficacy of home spirometry in the early detection (pre respiratory symptoms) of respiratory complications and therefore prompt early medical attention which is a key for improving outcome.
Imperial College London
DESIGN Longitudinal prospective observational multicentre study. Primary objective: Understand the immune mechanisms driving COVID-19 disease in patients with a history of lung disease
The Scripps Research Institute
Clinical specimens are collected from individuals either recovered from or with active SARS-CoV-2 infection to support process and analytical development for a potential cell-based immunotherapy in preclinical research, SRPH-CVD-01. SRPH-CVD-01 is an allogeneic cell-based immunotherapy candidate to be investigated in a subsequent clinical trial under a future FDA IND to treat people suffering from COVID-19. Enrolled participants provide a venous blood specimen (up to 40mL) to be used in preclinical studies and research and development of SRPH-CVD-01. Subjects may eventually be asked to undergo leukapheresis for peripheral blood mononuclear cell (PBMC) collection and their specimens will be used to further develop the SRPH-CVD-01 cell product, including a cGMP compliant process to be applied under the future FDA IND.
National Cancer Institute (NCI)
The primary purpose of this study is to gain an understanding of how experiences during the COVID-19 pandemic, regardless of COVID-19 status, may have impacted multiple domains of health-related quality of life and other areas such as COVID-19 specific psychological distress, and disruptions to health care, finances and social interactions. We will also evaluate the extent to which resiliency factors such as social support, perceived benefits under times of stress, and ability to manage stress may buffer associations between COVID-19 experiences and HRQoL. To meet these objectives, we have developed a 10-minute questionnaire that taps into these areas and is based on prior work addressing concerns of other pandemics or national crises. Participants will have previously consented to protocol PA15-0336 and have provided prior lifestyle data. This will allow us to connect the COVID-19 survey data with prior existing data.
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.
Asociacion para el Estudio de las Enfermedades Infecciosas
People living with HIV could have different susceptibility and outcome to the SARS CoV-2 infection. The risk of SARS CoV-2 infection in this population could be no related to HIV infection, immunodepression or antiretroviral therapy, but to the different susceptibility as measured by ACE2 or CD26 receptors. Also, patients with HIV-1 infection could have different cytokine profile and cellular immune response after SARS-CoV-2 infection, leading to a differential outcome,
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.
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.