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 560 of 599University 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.
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.
ARCTEC
Dogs are some of nature's greatest detectives, owing to their incredible sense of smell and ability to be trained. Most of us will be familiar with seeing trained sniffer dogs at airports looking for drugs and other prohibited items, but their skills don't stop there. The use of medical detection dogs is becoming increasingly common, as they are able to identify cancers, changes in blood sugar levels and even predict seizures. These are just a few examples of dogs playing a key role in public health. Many diseases can alter the way humans smell. A study undertaken by the London School of Hygiene & Tropical Medicine (LSHTM) and Durham University has shown that dogs are able to accurately diagnose malaria. The investigators know that respiratory illnesses can alter your body odours, and thus the investigators plan to determine whether dogs are able to identify the novel coronavirus known as COVID-19 (or SARS-CoV-2). COVID-19 can present itself asymptomatically (i.e. causing no apparent symptoms), which could lead to the spread of infection in the population. The investigators believe that dogs may be able to identify asymptomatic patients, as well as those who have mild symptoms (symptoms not requiring treatment, hospital stay or limiting normal activities). It is thought that a single medical detection dog stationed within an airport would be able to screen up to 750 people for COVID-19 infection in just 1 hour, informing those who are infected to isolate, preventing further spread of the disease. In order to determine whether it is possible for dogs to accurately diagnose COVID-19, the investigators must first collect samples. NHS staff and members of their households that are eligible for SARS-CoV-2 screening, have been selected to participate in this study due to their potential exposure to this disease agent. In addition, participants from the general population who are displaying mild COVID-19 symptoms or have been exposed to COVID-19 will be recruited via hospitals, testing centers, outbreak testing programs and home testing programs. Initially, participants will attend their screening test as planned or confirm that they have had a swab test within the previous 24 hours. Immediately following this, the investigators will ask participants to collect samples of breath odour and body odour, which will be collected passively through the wearing of face masks, shirts, and nylon socks. The investigators will ask to be provided with the results of the SARS-CoV-2 screening swab, which will allow for us to determine whether participants are positive or negative for SARS-CoV-2. These odour samples will be grouped by positive or negative test results, and transported to LSHTM where these will be processed in order to prevent contact with the virus, negating the risk for dogs and their handlers. A pilot study will be undertaken to confirm whether dogs are able to distinguish between positive and negative samples using traditional sniffer dog training methods. If this is possible, the investigators will proceed to the main study to determine the accuracy (known as sensitivity and specificity) of the dogs' ability to identify the virus. Both the handler and the dogs themselves will be 'blinded' to the samples, and thus unaware of which sample is which. When the data generated by these tests is entered, it will be confirmed whether or not the samples have been correctly identified. The dogs will be trained to detect and report the detection of the volatile odours characteristic of COVID-19 infection. For quality control purposes the investigators also aim to characterise the COVID-19 odour profile by analysing samples with a special process called GC (gas chromatography) and/or GC-MS (gas chromatography coupled mass spectrometry). This will help to inform the identification of compounds showing differences between infected and non-infected samples. The investigators believe that this work could be useful in the fight against COVID-19.
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.
Västmanland County Council, Sweden
This research study is designed to investigate the effects of a brief psychological intervention for improving depressed mood in older individuals (65 years and older) in isolation during the Coronavirus (COVID-19) pandemic. The treatment is delivered by telephone and consists of four weekly individual sessions. Two therapeutic methods are used in combination during this intervention: Behavioral activation (BA) and Mental Imagery (MI). BA involves identifying and scheduling enjoyable and meaningful activities to improve mood and reduce social isolation. To enhance BA efficacy and adherence, MI is paired with BA as MI is known to activate emotion and motivation. The MI intervention in this study involves having participants imagine, in vivid sensory detail, engaging in some of the activities that are scheduled during BA. Approximately 154 individuals will participate in the study. Half of the participants will be randomised to start the intervention immediately, while the other half of the participants will be randomized to a control group receiving the intervention after 4 weeks. This procedure makes it possible to evaluate the effects of the treatment while not disadvantaging participants randomized to the control group. Participants will be asked to fill in questionnaires before, during (at the end of each intervention week), and after treatment (or waiting period for the control group). Questionnaires will also be sent 1-, 3- and 6 months after treatment to follow up on the results. A smaller group of participants (10-15) will be asked to participate in a more detailed interview about how they experienced the treatment.
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
Blackstone Valley Community Health Care
Lifespan Cancer Institute serves over 50% of cancer patients in the state. Rhode Island is known for strong medical care and high rates of cancer screening with mammography and colonoscopy. However, cancer screening has plummeted during the COVID-19 pandemic, in part to closing physician offices and stopping non-urgent medical procedures. In addition, anecdotal reports suggest the public remains concerned about returning to physician's offices and risking possible exposure to COVID-19. As in the United States as a whole, COVID-19 has disproportionately impacted ethnic and minority individuals within underserved communities; and in Rhode Island, African Americans, Hispanics and undocumented individuals living in communities such as Central Falls, Pawtucket, Providence, East Providence and North Providence have had the highest rate of COVID-19. These communities are also impacted by healthcare disparities to access and affordability of healthcare, and as such, may be among the least likely to resume cancer screening. The Lifespan Cancer Institute will institute a project to address health disparities in cancer screening during the pandemic through the use of a targeted campaign involving social media. The goals will be to re-establish screening in the era of COVID-19 and ensure timeliness of care for those found to be at risk, or are positive for, cancer.
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.