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 20 of 91Aveni Foundation
COVID-19 is an infectious disease caused by severe acute respiratory syndrome coronavirus 2. COVID-19 causes life threatening complications known as Cytokine Release Syndrome or Cytokine Storm and Acute Respiratory Distress Syndrome. These complications are the main causes of death in this global pandemic. Over 1000 clinical trials are on-going worldwide to diagnose, treat, and improve the aggressive clinical course of COVID-19. The investigators propose the first, and so far, only gene therapy solution that has the potential to address this urgent unmet medical need. Rationale 1. There are striking similarities between the damaged lung environment of COVID-19 induced ARDS and the tumor microenvironment (exposed collagen from tissue destruction by invading tumor or by the virus-induced immune response, and presence of activated proliferative cells (cancer cells and tumor associated fibroblasts or activated T cells, macrophages and pulmonary fibroblasts in COVID-19); 2. DeltaRex-G is a disease-seeking retrovector encoding a cytocidal dominant negative human cyclin G1 as genetic payload). When injected intravenously, the DeltaRex-G nanoparticles has a navigational system that targets exposed collagenous proteins (XC proteins) in injured tissues (e.g. inflamed lung, kidney, etc.), thus increasing the effective drug concentration at the sites of injury, in the vicinity of activated/proliferative T cells evoked by COVID-19. Our hypothesis is that DeltaRex-G then enters the rapidly dividing T cells and kills them by arresting the G1cell division cycle, hence, reducing cytokine release and ARDS; 3. Intravenous DeltaRex-G has minimal systemic toxicity due to its navigational system (targeting properties) that limits the biodistribution of DeltaRex-G only to areas of injury where exposed collagenous (XC) proteins are abnormally found; and 4. DeltaRex-G is currently available in FDA approved "Right to Try" or Expanded Access Program for Stage 4 cancers for an intermediate size population. To gain this approval, FDA requires DeltaRex-G to have demonstrated safety and efficacy in early clinical trials.
University Hospital Tuebingen
To evaluate the safety, toxicity and immunological effects of infusion of allogeneic bone marrow-derived human mesenchymal stem (stromal) cells (MSCs) and whether this therapy has an influence on the resolution processes in ARDS patients infected with Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Washington University School of Medicine
In this study, patients who have tested positive for SARS-CoV-2 by PCR testing without severe disease will be randomized on a 2:1 basis to receive a single injection of NT-I7 or placebo. All participants will receive best supportive care in addition to study treatment. The investigators hypothesize that NT-I7 can increase absolute lymphocyte count (ALC), thus potentially improve immune response to enhance viral clearance, thereby reducing duration of symptoms, minimizing contagiousness and preventing progression of severity.
Virginia Commonwealth University
The primary endpoint of this study is to assess the effects of a single IV dose of mavrilimumab on the acute inflammatory response in patients with severe COVID-19 pneumonia
University of Karachi
Pakistan is a resource restraint country, it's not possible to carry out coronavirus testing at mass scale. Simple cost effective intervention against the present pandemic is highly desirable. For patients: Identifying an antiviral gargle that could substantially reduce the colonies of COVID-19 residing in mouth and oro-naso-pharynx is likely to reduce the viral load. Such reduction in the viral load through surface debridement could aid the effective immune response in improving the overall symptoms of the patients. For dentists: This study is important because the nature of the dental profession involves aerosol production, carrying out dental work on asymptomatic patients carrying coronavirus puts the entire dental team at a great risk of not only acquiring the infection but also transmitting it to the others. Antiviral gargles could be used by dentist and their auxiliaries as prophylaxis. For physicians and nurses: The risk of morbidity and mortality is high among physicians and nurses involved in the screening and management of Covid-19 patients. Globally, over 215 physicians and surgeons have died while taking care of Covid-19 patients. The cause of death is attributed to high exposure of viral load. The antiviral gargles and nasal lavage can decrease the fatalities among doctors and nurses. Thus, patients, physicians, nurses and dentists, all could be benefited with this findings of this study.
Evergreen Therapeutics, Inc.
To study signals of efficacy and safety of a currently available dosage form (IM) of EG-009A in reducing the severity of respiratory disease in patients hospitalized with SARS-CoV-2 virus.
Yale University, NYU Langone Health, Albert Einstein College of Medicine
This is a randomized, blinded phase 2 trial to assess the efficacy and safety of anti-SARS-CoV-2 convalescent plasma in hospitalized patients with a symptom onset between 3 and 7 days OR within 72 hours of hospitalization.
University Hospital - Newark, NJ
This is an expanded access program providing COVID-19 convalescent plasma to patients hospitalized with severely or life-threateningly ill COVID-19.
University Hospital, Toulouse
Introduction: The World Health Organization has launched the INSPIRE-ICOPE-CARE program towards healthy aging. It includes "intrinsic capacity", defined as "the composite of all the physical and mental capacities of an individual", which has a positive value towards prevention, and is constructed by five domains: cognition, vitality/nutrition, sensory, psychology, and mobility. ICOPE App and ICOPE Monitor are applications for the self-assessment and monitoring of intrinsic capacity. Hypothesis: Intrinsic capacity self-assessed by the ICOPE Apps could be associated with the incidence of frailty and health outcomes. ICOPE Apps might support geriatric and primary care during the COVID-19 pandemic and beyond. Objectives: To assess the association between intrinsic capacity measured by the ICOPE Apps at baseline and the incidence of frailty in community-dwelling older adults during 1-year follow-up. Secondarily, to assess the association of intrinsic capacity and pre-frailty, falls, functional decline, institutionalization, and mortality (COVID-19-related/not related). Methods: Protocol for a cohort study of community-dwelling adults ≥65-year-old, with no other exclusion criteria than the inability to use the Apps or communicate by telephone/video-call for any reason (cognitive or limited access to telephone/video-call). Intrinsic capacity measured by the ICOPE Apps and Rockwood's clinical frailty scale will be assessed at baseline, 4-, 8- and 12-month follow-up by telephone/video-call. Assuming a prevalence of frailty of 10.7%, and incidence of 13% (alpha-risk=0.05), 400 participants at 12-month end-point (relative precision=0.10) and 600 participants at baseline will be required. Associations among the decrease in intrinsic capacity, incidence of frailty, and occurrence of health adverse outcomes during 1-year follow-up are expected. ICOPE Apps might identify individuals at higher risk of frailty and health adverse consequences. The implementation of the ICOPE Apps into clinical practice might help to bring the practitioners closer to their patients, deliver efficient person-centered care-plans, and benefit the healthcare systems during the COVID-19 pandemic and beyond.
Fondazione IRCCS Istituto Nazionale dei Tumori, Milano
During the current pandemic, in Italy the majority of asymptomatic or pauci-symptomatic COVID-19 cases were not identified nor diagnosed and this fact caused a decrease in the effectiveness of the various containment measures implemented. Therefore, in a future scenario where a new viral swarm is expected, the early identification of all infected cases becomes essential to plan and activate a containment strategy for the spread of the virus, given the current absence of vaccines. The typical radiological finding of COVID-19 is an interstitial pneumonia, which can be responsible, in a significant portion of patients, of an acute respiratory distress syndrome (ARDS). Low-dose chest CT and simple blood tests could identify sub-solid pulmonary nodules (SSNs) indicative of COVID-19 infection in asymptomatic subjects. Objectives of this observational study are the early detection of COVID-19 markers indicative of prior exposure or persisting viral infection in asymptomatic subjects and the assessment of the frequency and outcome of COVID-19-related SSNs in asymptomatic subjects by time, domicile, and other individual risk factors. SMILE lung CT screening program cohort has been considered, based on 960 subjects at high lung cancer risk for tobacco smoking (≥20 pack/year) and age (50-75 years), together with inflammatory and respiratory profile. SMILE utilizes a top technology dual-source CT scanner (Somatom Force) with the lowest radiation dose ever applied to lung screening. All chest CT images from screening subjects will be re-evaluated by two additional CAD programs, specifically designed for the analysis of SSNs and quantification of the total volume of lung parenchyma showing an increased density. This re-evaluation will improve the sensitivity and specificity of radiomic assessment. This study cohort, enriched by the already established longitudinal biobank of frozen plasma samples, represent an ideal opportunity to assess the frequency of SSNs in asymptomatic subjects, due to the effect of COVID-19, particularly among subjects living in areas at high risk of viral exposure. It will also be possible to evaluate if COVID-19-related SSNs are associated with chronic co-morbidity, other individual risk factors, inflammatory (CRP) / immunomodulatory (25(OH)D) blood profile, and/or can be traced by immune markers such as IgM/IgG and other cytokines. Clinical data will be integrated with an analysis of the IgG-IgM profile specific for covid-19, on the plasma samples taken at the time of the CT scan, or subsequently, in collaboration with University of Milan, Luigi Devoto Work Clinic. The lasting collaboration with the Radiological Science Department of the University of Parma in lung screening also offers the opportunity to validate the results obtained in this cohort on chest CT performed at the University Parma Hospital during the last two months in symptomatic subjects for suspected covid-19 pneumonia. In collaboration with University of Milano Bicocca, Machine Learning (ML) tools will be applied to predict the clinical relevance, severity and ultimate outcome of SSNs, based on radiomic CT features, epidemiologic risk, co-morbidity and inflammatory/immune blood biomarkers. ML analysis will generate a predictive algorithm for clinical outcome of SSNs, and specifically the risk of COV-I9 infection and unfavorable disease prognosis.