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 350 of 771University of British Columbia
The coronavirus (COVID-19) pandemic continues to grow exponentially. Angiotensin II levels are increased in human influenza and are associated with influenza viral load, disease progression and mortality. Preliminary data shows angiotensin II receptor blockers (ARBs) limits lung injury in murine influenza H7N9, as well as viral titre and RNA. ARBs could limit viral titre and organ injury in COVID-19. We will therefore collect clinical chart data and test angiotensin II levels of patients who are admitted to ICU with COVID-19 to determine whether there is a correlation between taking ARBs and clinical outcomes in these patients. Other blood biomarkers and clinical risk factors for COVID-19 have come to light in recent weeks. We include these in our observational analysis to help generate an understanding of COVID-19 presentation and blood biomarker characterization of disease.
University of Oxford
The C-MORE study is prospective observational holistic longitudinal study which will characterise the prevalence of multi-organ injury among COVID-19 survivors post hospital discharge and assess its effects on quality of life, exercise tolerance and mental health.
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.
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)
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.