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 620 of 658Imperial 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.
Tanta University
The global escalation of COVID19 pandemic has put the health care system under pressure with urgent need for treatment. In the absence of vaccine and approved drug against SARS-COV2 over the past 6 months, the health authorities were obliged to re-purpose existing drugs to fight this pandemic.
Hacettepe University
The current study is aimed to determine the procedures applied in the dysphagia clinics during the COVID-19 pandemic period. A questionnaire consisting of 30 questions will be implemented. Each participant will be asked to answer the questions.
Amazon Web Services (AWS) Canada
The VOICE-COVID study will evaluate the concordance of screening for symptoms of COVID-19 using a voice based device (Amazon Alexa) compared to manual screening by a study coordinator for individuals entering the Cardiology/Heart Failure clinic at the McGill University Health Centre.
McGill University Health Centre/Research Institute of the McGill University Health Centre
Coronavirus disease (COVID-19) related pneumonia significantly impact patients with underlying cardiovascular (CV) conditions. Animal studies suggest that drugs commonly used to treated CV diseases may increase the ability of COVID-19 to infect cells. The RAAS-COVID-19 trial aims to assess whether temporarily holding these CV drugs in patients who are admitted with COVID-19, versus continuing them, in patients admitted with COVID-19 can impact short term outcomes.
Centro en Insuficiencia Cardiaca, Mexico
The design included 152 patients with confirmed heart failure (HF) evaluated in two different periods of time: a baseline before the outbreak, and other during the outbreak of which 76 patients were randomized in each group. A care and follow-up guide was used as an instrument through a face-to-face survey (baseline group) and telemedicine (group outbreak). The primary outcome was the comparison of functional class modification observed in patients
Hamad Medical Corporation
The objective of this study is to evaluate the efficacy of noninvasive ventilation with helmet in reducing endotracheal intubation rates in comparison with Noninvasive Ventilation (NIV) facemask among patients with Acute Respiratory Distress Syndrome (ARDS)
University of Sao Paulo General Hospital
The objective of MoxiCov is to monitor the oximetry of patients admitted to the Covid nursery to provide a more detailed assistance expecting to reduce the amount of hypoxia in these patients.
Netherlands: Ministry of Health, Welfare and Sports
The aim of the study will be to determine the epidemiological and clinical features of COVID-19 cases, immunological and virological courses, interaction with nutritional status, and response to treatment for COVID-19 patients admitted to treatment centers in Ethiopia. Methods: This multi-site cohort enrolls, patients with confirmed COVID-19 infection admitted to treatment centers will be enrolled irrespective of their symptoms and followed up for 12 months. Baseline epidemiological, clinical, laboratory and imaging data will be collected from treatment records, interviews, physical measurements and biological samples. Endline data involves treatment and prognostic outcomes to be measured using different biomarkers and clinical parameters, The patients will be followed up in the selected treatment centers for COVID-19 infection. For all data collected both descriptive and multivariable analyses will be performed to isolated determinants of the treatment outcome and prognosis to generate relevant information for informed prevention and case management.
University of California, Irvine
The investigators are enrolling 100 healthcare Provider volunteers (n=100) from across the United States to help to evaluate and document the financial impact of COVID-19 on Physicians and other healthcare Providers. This investigation will compare individual Physician revenues before and after the advent of the COVID-19 pandemic. The investigators expect to be able to differentiate between revenues lost due to the COVID-19-driven business recession and revenues lost due to the manipulation of reimbursement processes by insurance companies. The inextricable linkage between Payer and Physician revenues suggests that Payer revenues are higher at the direct expense of Physicians, since both streams come from the same sources of funding. The secondary objective is aimed at revealing the methods Payers use to retain more money.