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 330 of 766University 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.
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
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.
INSERM, Epopé team
The purpose of this study is to characterize the incidence and clinical features of the maternal COVID 19 infection, as well as the associated morbidity of the mother and the child, in the French context
Hospital Universitario Dr. Jose E. Gonzalez
In Mexico the total number of confirmed cases of COVID-19 is 232, 000 and 28,510 deaths. Health workers are at high risk of COVID-19 infection. Their absence from work dramatically limits the ability to contain the disease. There is currently no vaccine to prevent the disease. Since the introduction to the vaccination schedule of the Bacillus Calmette-Guerin (BCG) live attenuated vaccine directed towards tuberculosis prevention, a decrease in infant mortality has been reported, not related only to tuberculosis. BCG vaccine has been hypothesized to have a non-specific role towards other unrelated pathogens such as viruses that cause airway disease, with reduced morbidity and mortality. In murine as well as in human models it has been shown to decrease the incidence of acute respiratory influenza infections. Likewise, in countries with a high endemicity for tuberculosis, the BCG vaccine reduces the incidence of respiratory infections by up to 80% . In healthy subjects, the BCG vaccine increases the production of proinflammatory cytokines in monocytes. Likewise, it increases the epigenetic response, causing an increase in the transcription of genes important in the antimicrobial response, as well as an improvement in cellular function. This is the first national clinical trial to evaluate prospectively the effect that the BCG vaccine offers towards the prevention and reduction of severity in cases of COVID-19.
Direction Centrale du Service de Santé des Armées
Since March 2020, SARS-CoV2 virus (nCoV19; COVID-19) is considered pandemic. Its high rate of spread and infection in the human population and the lack of effective and validated treatment have led the authorities of several countries to confine their populations to slow the spread of COVID-19. As part of the management of this health crisis, the screening of individuals is essential in order to isolate "infected cases". These screening tests are currently performed on nasopharyngeal swabs using RT-PCR for the detection of viral RNA. Although sensitive and specific, these tests remain relatively long (2-5 hours), expensive and the strong international demand for nucleic extraction kits and enzymes are factors limiting the implementation of widespread screening (problem of supply of swabs, molecular biology consumables). In order to prevent the risks of a shortage of screening means, we propose to develop an innovative alternative strategy, PCR-free, based on the detection of specific protein signatures in human saliva by MALDI-TOF MS profiling. MALDI-TOF MS profiling is a method used in routine diagnostics by microbiology laboratories for the identification of microorganisms. MALDI-TOF MS profiling has been successfully used to classify individuals according to their infectious status (oral pathologies) based on the analysis of their saliva, but also as a tool for the identification of respiratory viruses from cell culture supernatants. In addition, we have expertise and skills in the field of MALDI-TOF MS profiling and have implemented new strategies to improve the quality of profiles and their analysis, particularly in the context of entomological and vector identification projects. Finally, recent Chinese studies have reported that COVID-19 was detectable in saliva by RT-PCR. The main objective of this study is to develop a test based on the MALDI-TOF profiling method to detect individuals infected with SARS-CoV2 from saliva sample.