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 360 of 451KK Women's and Children's Hospital
A Novel School-clinic-community Online Model of Child Obesity Treatment in Singapore During COVID-19
Background: The Coronavirus 2019 (COVID-19) is an infectious disease, which was first identified in December 2019 and has then spread rapidly around the world. COVID-19 spreads mainly through respiratory droplets and causes people to experience mild to moderate respiratory illness. On 11 March 2020, the World Health Organisation (WHO) declared COVID-19 a pandemic. With the surge in cases and to contain the spread of this disease, Singapore implemented a circuit breaker to reduce movements and interactions in public and private places. People are advised to stay at home and practise social distancing. With restrictions in movements, parents and children are likely to be more sedentary in this pandemic. There is an urgent need to move face-to-face interventions to online interventions as it is important to be active in this period. Childhood obesity threatens the health of US and Singapore populations. In the US, 30% of children are overweight, 17% have obesity, and 8% have severe obesity. In Singapore, 13% of children have obesity, and approximately half of all overweight children live in Asia. In both countries the prevalence is increasing, especially amongst the lower income populations, and is associated with future cardiovascular and metabolic disease. In US, obesity is most prevalent in Black and Hispanic populations and in Singapore, obesity affects Malays and Indians disproportionately. The underlying drivers and potential solutions thus share many common factors. The current evidence shows a clear dose-response effect with increasing number of hours of treatment, with a threshold for effectiveness at > 25 hours over a 6-month period. A key gap in delivering this recommendation is meeting the intensity, and delivering comprehensive treatment that is culturally relevant, engaging to families, and integrated within the community context. The study is an online pilot randomised controlled trial among children aged 4-7 with obesity, in Singapore, to test a novel school-clinic-community online intervention, the KK Hospital (KKH) Sports Singapore program, for child obesity treatment with usual care. The primary outcome is intensity of treatment as measured by hours of exposure to intervention. The online KKH Sports Singapore program involves 4-6 weekly online sessions of physical activity and nutrition lessons for children and parents.
University of British Columbia
The purpose of this study is to ensure effective health management among community-living older adults during unprecedented times, such as the current COVID-19 pandemic.
Unity Health Toronto
Mental health concerns have been on the rise since the onset of the COVID-19 pandemic. The pandemic has worsened risk factors for suicide, including job loss, anxiety, depression, and loneliness. Timely and easy access to mental health services is a dire need, and this study will test the efficacy and feasibility of a brief clinical intervention, Brief Skills for Safer Living (Brief-SfSL), at reducing suicide risk. The goal of this study is to investigate whether Brief-SfSL, delivered online, is a suitable, acceptable and effective method for reducing suicide risk and providing timely mental health services. The results from this study will provide vital insight into effective interventions for suicide risk that are accessible and can be widely distributed.
Duke University
In COVID-19 times, there has been a large increase in number of people working from home; with limited places to go, an abrupt change to people's lives and lack of knowledge about the dangers of sedentary behaviour (SB), it is important to help workers develop and effortlessly incorporate healthy movement routines to optimize daily productivity and health. The combined lack of knowledge on literature on SB profiles of full time, home-based workers, effects of framing of SB reduction strategies, and strategy preference uncertainty makes for a novel study. This will be a 4-week intervention that looks at whether telling a full time, home-based office worker to do pre-selected strategies using different framing structures to break up their sedentary behaviour (SB) (i.e. sitting) will change their SB profiles. Investigators are looking to see whether having the choice (or not) to choose strategies in an unfamiliar health related selection (preference uncertainty) will create greater changes in SBs. As well, the researchers are incorporating behavioural economics' by altering choice structure in relation to behaviour change and program engagement. Workers' work-related SB will be measured by a device at baseline and on the last week of the intervention. Workers will be provided with an SB educational video to increase knowledge and motivation for change. Any SB changes in relation to productivity, mental wellness, behaviour intentions etc. will also be measured.
Corporacion Parc Tauli
Ycovid-19 aims to be a rapid diagnostic test for SARS-CoV-2 infection, which will allow a reliable diagnosis to be made in 10 minutes, and on easy-to-use devices. This test will be developed using innovative technology developed at the Parc Taulí University Hospital, which increases the immunogenicity of SARS-CoV-2 differential antigens. The increased immunogenicity of these antigens will allow to detect, with a high sensitivity and specificity, the antibodies in the serum of patients infected with SARS-CoV-2. This test will serve to confirm dubious results as well as reduce false negatives from the PCR test, which will ultimately help reduce transmission of the infection.
Institut Pasteur
Serological surveys measuring anti-severe acute respiratory syndrome coronavirus 2 (anti-SARS-CoV-2) antibodies in the population to assess the extent of the infection and the COVID-19 immunity of the population in French Guiana.
National Taiwan University Hospital
In the ER of National Taiwan University Hospital, the critical patients are treated (including tracheal intubation and cardiopulmonary resuscitation) in either resuscitation area or negative pressure isolation rooms based on the past history and present illness. During COVID-19 epidemic, whether sequential changes in environmental and personal protective equipment would change the difference of treatment efficacy and patient safety remains unclear. Whether treating patients in resuscitation area or negative pressure isolation room would cause different physical and psychological stress of medical staff and environmental contamination is also unknown. This study aims to conduct a prospective sequential allocation clinical trial to investigate the success rate, patient safety, physical and psychological stress of medical staff, and the risk of environmental contamination of tracheal intubation and cardiopulmonary resuscitation between the resuscitation area and negative pressure isolation room. The results of the study may be used to improve the protocol and protective policy in treating critical patients during an epidemic.
University Hospital, Basel, Switzerland
The study is to investigate the antibody response in the blood and saliva of people with a known COVID-19 infection in the canton of Baselland.
Ministerio de Salud de Ciudad Autónoma de Buenos Aires
The pandemic of a new coronavirus SARS-COV-2, which causes COVID-19 disease, has spread rapidly and is a major public health challenge. While the focus is primarily on containing the number of cases and finding alternative therapies, information is still lacking to elucidate the dynamics of viral circulation and to understand the distribution of the infection in the population. The cases reported in Argentina and worldwide could plausibly represent only a small proportion of the number of asymptomatic or poorly symptomatic cases that exist in society. However, the magnitude of this dissociation between symptomatic cases and asymptomatic persons is unknown. Knowing this information is of strategic importance as it will allow the estimation of a community prevalence and the evaluation of the best containment strategy. In fact, although all social distancing measures are now indispensable, the feasibility of prolonging the measure over time is a complex issue and in any case will require population-based information. The best way to approach the estimation of a true population prevalence is to take representative samples from the population and test them periodically. These experiences were carried out in other contexts showing heterogeneous results within the community studied. In Spain, for example, the range of antibodies present in the population varied from 1.1% to 14.2%, also showing that an important part of the population had had contact with the virus without symptoms. Studies in Switzerland and the United States also show similar findings. However, these estimates are not automatically transferable to other settings. The city of Buenos Aires has a particular demographic composition with an important group of the population living in shantytowns (it is estimated that between 7% and 10% of the population lives in shantytowns) and with much heterogeneity among the different communes of the city. In the villas, the incidence rates of COVID-19 infection differ significantly from those present in the group "outside the village". However, there is also an important difference in the incidence rates by commune, even without considering the villas. Thus, it is important to know the sero-epidemiology of antibodies against SARS-COV2 in a representative sample of the city of Buenos Aires. For this purpose, a nationally produced test (COVIDAR IgG) developed by professionals from CONICET and Instituto Leloir will be used. The aim of this initiative is to estimate the true dimension of the COVID-19 epidemic in the City of Buenos Aires, by studying the immunological status of the Buenos Aires population in relation to SARS-Cov2, as well as to observe the evolution of the infection among the population, since this information is essential to guide future public health measures related to the control of COVID-19. To achieve this objective, a comprehensive sero-epidemiological study will be carried out to provide estimates of past SARS-Cov2 infection with sufficient precision to be representative of the sero-epidemiological status of the Buenos Aires city population.
Presidency of Health Institute Turkey (TUSEB)
COVID-19 is an infectious disease caused by a newly discovered Coronavirus which was first identified in Wuhan, China in December 2019. Then the novel coronavirus outbreak was described and announced as a pandemic by World Health Organization (WHO) on March 11, 2020. Reverse transcription-polymerase chain reaction (RT-PCR) is currently the gold standard test for diagnosis of COVID-19. Nevertheless, due to its high false-negative rates (%10-50), diagnosis and treatment decisions do not depend on RT-PCR alone. Clinical presentation of patient and radiological findings are also important. However, neither clinical presentation nor computed tomography (CT) findings are specific for COVID-19. As a consequence of these challenges, the diagnosis of the disease and the protection of the community health become more difficult. The investigators of this study hypothesized that deep learning-based decision support system may help for definitive diagnosis of COVID-19. The aim is to develop a deep learning-based decision support system algorithm based on clinical presentation of patient, laboratory and CT findings and RT-PCR data. Previously, deep learning algorithms with the use of widely known deep neural network architectures such as Inception, UNet, ResNet were developed. However all of these studies were based on CT findings. There are not any deep learning study in literature combining the clinical, radiological, and laboratory findings of patients. The project is based on the available data of COVID-19 patients that will be obtained from the Ministry of Health. Then the data will be evaluated for relevance and reliability and labeled for the training of machine. Following the anonymization of data, data will be processed according to the predetermined inclusion-exclusion criteria. Thorax CT data will be labeled as typical / indeterminate / atypical / negative for COVID-19 pneumonia. Also, CT images of patients with known non-COVID-19 diseases will be labeled for the training of machine. Then, fever, lymphocyte count, neutrophil to lymphocyte ratio, contact information, RT-PCR findings will be labeled. Subsequently, the patients will be labeled and the machine will be trained with deep learning method with the help of this grouped and labeled data. Following the training phase, the algorithm will be tested and if the machine reaches the target specificity and sensitivity, the prototype will be tested. And then, the prototype will be embedded into the hospital software system. This software and algorithm will serve as an early warning system for clinicians and provide a better diagnostic rate especially with decreasing false-negative results. The effects of a pandemic cannot be measured by only the number of people diagnosed and isolated, or treatment provided. A pandemic affects not only community health but also individuals' psychological status, education, teaching methods, working models, daily lifestyles, producer/consumer behaviors, supply/demand balance; in other words every single area of life. On top of that, a pandemic causes long-term damages hard to reverse. The software will increase the diagnostic success rates, help to control the pandemic and minimize the collateral damages mentioned above. The investigators believe that, the product that will be produced at the end of this project will be of great benefit in controlling the secondary wave of COVID-19 expected to occur.