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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To search this directory, simply type a drug name, condition, company name, location, or other term of your choice into the search bar and click SEARCH. For broadest results, type the terms without quotation marks; to narrow your search to an exact match, put your terms in quotation marks (e.g., “acute respiratory distress syndrome” or “ARDS”). You may opt to further streamline your search by using the Status of the study and Intervention Type options. Simply click one or more of those boxes to refine your search.
Displaying 140 of 150University of Zurich
This study is meant to assess the lung mechanics in SARS-CoV-2 induced acute respiratory failure. A precise characterisation of lung mechanics and heart-lung-interactions might allow a better understanding of SARS-CoV-2 induced acute respiratory failure and thus lead to better mechanical ventilation strategies. This monocentric, observational study of critically ill COVID-19 patients in the ICU, will employ impedance tomography, right-heart catheterization, oesophageal pressure measurements, indirect calorimetry as well as classic mechanical ventilation parameters to characterise the mechanical characteristics of the lung as well as the heart-lung interactions in SARS-CoV-2 induced acute respiratory failure.
Ain Shams University
COVID-19 as a novel disease, different disease patterns were observed worldwide, and many treatment plans were tried. So, it is important to investigate the Egyptian clinical characteristics and different factors that determine the patient's 'outcome
Cambridge University Hospitals NHS Foundation Trust
This study examines the presence, severity and natural history of dysphagia and dysphonia in the post-extubation and severely unwell COVID-19 patient.
Assiut University
Detection of the incidence and types of arrhythmia and conduction block in COVID - 19 patients Detection and description of CMR patterns of myocardial injury in COVID-19 patients with arrhythmias.
Vatic Ltd.
This is an international, multicentre, non-interventional, observational study to assess the clinical diagnostic performance of a rapid, point of care (POC) COVID-19 (SARS-CoV-2) antigen In vitro diagnostic (IVD), The KnowNow SARS-CoV-2 Rapid Antigen Test, using saliva samples when compared to reverse transcription polymerase chain reaction (RT-PCR) as the standard detection of COVID-19 infection.
University Hospital, Rouen
As part of the Coronavirus Infectious Disease 2019 (COVID19) pandemic, the hospital care system is facing a major strain. Patients with SARS-Cov2 (severe acute respiratory syndrome coronavirus 2 ) infection can worsen very quickly, possibly presenting, within hours, severe respiratory failure requiring urgent specialized care. Therefore, it is essential to develop emergency assessment tools to assess relevant criteria to decide which patients must be kept under hospital monitoring and which patients can be treated on outpatient care. The aim of this study is to assess the efficacy of STST in the decision to hospitalize patients consulting emergency department for a SARS-Cov2 infection. The investigators wish to show that the addition of this test to the usual hospitalization criteria reduces the proportion of patients hospitalized 48 hours after their first visit to the emergency department.
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.
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.
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