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 370 of 415Boehringer Ingelheim
The main objective of the tests is to establish saliva collection with Salivette® Cortisol.
Koc University Hospital
Coronavirus disease 2019 (COVID-19) is a respiratory tract infection caused by a newly emergent coronavirus (SARS-CoV-2) that can progress to severe multiorgan disease requiring hospitalization. The medium and long-term impact in survivors of COVID-19 on lung function, imaging by thoracic CT, exercise capacity, and health-related quality of life and the relation of these parameters remains to be determined.
Imperial College London
Abbreviations/acronyms: DUO-EF = prediction of ejection fraction (EF) using the Eko-DUO digital stethoscope algorithm HF = heart failure HFrEF = heart failure with reduced ejection fraction COVID-19 = coronavirus disease 2019 Eko DUO = digital stethoscope device cMRI = cardiac magnetic resonance imaging ECG = electrocardiogram Prospective observational study of left ventricular ejection fraction predicted by application of artificial intelligence to single-lead ECG acquired by a digital stethoscope; in the post-covid-19 follow up clinic, in patients presenting with heart failure symptoms in primary care, and in patients attending for echocardiography and cardiac MRI.
Merck Sharp & Dohme LLC
The overall goal of this study is to understand the immune response (IgG) to SARS-CoV-2 to fill critical knowledge gaps in the natural history of this virus and to inform the development of future infection mitigation efforts. The study team aims to assess the prevalence of circulating IgG antibodies to SARS-CoV-2 and the factors associated with sero-prevalence. These data will be used to estimate the total population that has been exposed to the virus (asymptomatic and symptomatic), the proportion of the population that may be protected by natural immunity, and the proportion that is susceptible. Data obtained from this research will be shared with the Florida Department of Health.
David Grant U.S. Air Force Medical Center
This is a study that will attempt to validate the process for detecting SARS-CoV-2 (COVID19) on a non-FDA-approved technology using self-collected saliva as the specimen. Investigators will compare self-collected saliva samples and healthcare-worker collected nasopharyngeal samples (Nasal swabs) to see if the self-collected saliva samples are similar in terms of diagnostic accuracy. Investigators will be performing this testing at the site where patients regularly go for COVID19 testing. There will be minimal risk of harm as consenting patients will only have to provide a small amount of saliva into a tube.
Centre d'Expertise sur l'Altitude EXALT
Since the beginning of 2020, SARS-CoV-2 outbreak spread over the world, conducting in a pandemic state declared by the world health organization in March 2020. Conflicting data have been yet published regarding to the incidence rate of COVID-19 infection in altitude. Mainly based on analysis from national Peru database, some authors argued that COVID-19 disease, as well as case fatality rate was less frequent in altitude. However, epidemiological data are lacking regarding to the prevalence of COVID-19 in altitude, and more specially in high altitude. Aim of this cross-sectional study is to assess the prevalence of seroconversion for the SARS-CoV-2 in the population of La Rinconada, a mining town at 5,100 m, the highest city in the world.
Ain Shams University
Recent different biomarkers of acute kidney injury (AKI) have been manufactured by pharmaceutical industry. Studies proved that Neutrophil gelatinase-associated lipocalin (NGAL) and cystatin c are effective predictive biomarkers for early acute kidney injury in septic patients and in children after cardiopulmonary bypass. This study hypothesize that both cystatin c and Neutrophil gelatinase-associated lipocalin can predict AKI in patients with COVID-19 before elevation of serum urea and creatinine which may help early interference.
Groupe Hospitalier Pitié-Salpêtrière
COVID-19 outbreak is often lethal. Mortality has been associated with several cardio-vascular risk factors such as diabetes, obesity, hypertension and tobacco use. Other clinico-biological features predictive of mortality or transfer to Intensive Care Unit are also needed. Cases of myocarditis have also been reported with COVID-19. Cardio-vascular events have possibly been highly underestimated. The study proposes to systematically collect cardio-vascular data to study the incidence of myocarditis and coronaropathy events during COVID-19 infection.We will also assess predictive factors for transfer in Intensive Care Unit or death.
Association Clinique Thérapeutique Infantile du val de Marne
This study is expected to provide, for the first time, data on Cov2-SARS circulation in asymptomatic children and children with moderate respiratory symptoms in order to construct the severity pyramid of this novel pathogen. This information will be essential in the coming weeks to understand the dynamics of the transmission of this pathogen at the population level and to highlight the relevance of public health interventions, particularly with regard to the systematic closure of schools and childcare facilities.
Professor Adrian Covic
This project aims to use artificial intelligence (image discrimination) algorithms, specifically convolutional neural networks (CNNs) for scanning chest radiographs in the emergency department (triage) in patients with suspected respiratory symptoms (fever, cough, myalgia) of coronavirus infection COVID 19. The objective is to create and validate a software solution that discriminates on the basis of the chest x-ray between Covid-19 pneumonitis and influenza