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.
Search Tips
To search this directory, simply type a drug name, condition, company name, location, or other term of your choice into the search bar and click SEARCH. For broadest results, type the terms without quotation marks; to narrow your search to an exact match, put your terms in quotation marks (e.g., “acute respiratory distress syndrome” or “ARDS”). You may opt to further streamline your search by using the Status of the study and Intervention Type options. Simply click one or more of those boxes to refine your search.
Displaying 1280 of 1292Wuhan Union Hospital, China
This study aims to investigate the clinical characteristics, the incidence of myocardial injury, and the influence of myocardial injury on the prognosis in COVID-19 patients. There is no additional examination and treatment for this project.
Professor Adrian Covic
This project aims to use artificial intelligence (image discrimination) algorithms, specifically convolutional neural networks (CNNs) for scanning chest radiographs in the emergency department (triage) in patients with suspected respiratory symptoms (fever, cough, myalgia) of coronavirus infection COVID 19. The objective is to create and validate a software solution that discriminates on the basis of the chest x-ray between Covid-19 pneumonitis and influenza
Henan Provincial People's Hospital
All patients with COVID-19 were divided into three groups according to their illness: mild patient who receive conventional oxygen therapy, severe patients who receive nasal high flow oxygen inhalation or non-invasive positive pressure ventilation,all the oxygen therapy will be used as part of the standard of care. Each group will enroll 10 patients, the treatment of all patients will be continuously optimized during observation, and the incidence of respiratory failure, intubation rate, 28 day mortality rate, ICU hospitalization days, etc will be recorded and analyzed so to optimize the treatment time window of sequential oxygen therapy
Huashan Hospital
Our project intends to independently develop a fully enclosed rapid detection system for a total of 22 pathogens, including SARS-CoV-2, on the basis of the QIAstat-Dx fully automatic multiple PCR detection platform. The reasonably designed experiments are used to verify the performance of the cartridge detection and prove its clinical application value. The 22 pathogens tested in this project includes 4 coronavirus subtypes, A / B flu, parainfluenza virus, respiratory syncytial virus, etc., which is of great significance for the differential diagnosis of similar patients.
Peking University First Hospital
The purpose of this study is to evaluate the efficacy and safety of favipiravir combined with tocilizumab in the treatment of corona virus disease 2019.
Zhong Wang
In December 2019, Wuhan, in Hubei province, China, became the center of an outbreak of pneumonia caused by CoVID-19, and the number of cases of infection with CoVID-19 identified in Wuhan increased markedly over the later part of January 2020, with cases identified in multiple other Provinces of China and internationally.Given no specific antiviral therapy for CoVID-19 infection and the availability of Yinhu Qingwen Granula as a potential antiviral Chinese medicine based on vivo antiviral studies in CoVID-19, this adaptive, randomized,double-blind,controlled trial will evaluate the efficacy and safety of Yinhu Qingwen Granula in patients hospitalized with severe CoVID-19.
Henan Provincial People's Hospital
The study is expected to treat patients with mild and severe neo-coronary pneumonia through standard treatment regimens in combination with tetrandrine tablets, thereby reducing the clinical progress of some patients, improving prognosis, reducing the incidence of pulmonary fibrosis during rehabilitation, and improving patients' quality of life.
Xiangya Hospital of Central South University
Complete the examination of cardio-pulmonary ultrasound in accordance with the a-ccue process of patients with novel coronavirus bedside. To summarize and analyze the characteristics of cardiopulmonary ultrasound in patients with novel coronavirus pneumonia, and assess the relationship between pulmonary ultrasound imaging score and National Early Warning Score(NEWS) and prognosis. Auto line B is a method which is based on artificial intelligence is used to calculate the lungs ultrasonic B line numbers reviewing the status of patients with lung, and also evaluate patients' lungs using the traditional artificial semi-quantitative method, to evaluate those two kinds of evaluation methods for the evaluation of patients with lung condition effects are consistent or not, and verify consistency of ultrasonic evaluation method and the way of CT evaluation.