COVID-19 Clinical Trials and Expanded Access

COVID-19 outbreak is often lethal. Mortality has been associated with several cardio-vascular risk factors such as diabetes, obesity, hypertension and tobacco use. Other clinico-biological features predictive of mortality or transfer to Intensive Care Unit are also needed. Cases of myocarditis have also been reported with COVID-19. Cardio-vascular events have possibly been highly underestimated. The study proposes to systematically collect cardio-vascular data to study the incidence of myocarditis and coronaropathy events during COVID-19 infection.We will also assess predictive factors for transfer in Intensive Care Unit or death.

This study is expected to provide, for the first time, data on Cov2-SARS circulation in asymptomatic children and children with moderate respiratory symptoms in order to construct the severity pyramid of this novel pathogen. This information will be essential in the coming weeks to understand the dynamics of the transmission of this pathogen at the population level and to highlight the relevance of public health interventions, particularly with regard to the systematic closure of schools and childcare facilities.

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

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.

Since Dec 2019, over 70000 novel coronavirus infection pneumonia (NCIP) patients were confirmed. 2019 novel coronavirus (2019 nCoV) is a RNA virus, which spread mainly from person-to-person contact. Most of the symptoms are non-specific, including fever, fatigue, dry cough. Sever NCIP patients may have shortness of breath and dyspnea, and progress to acute respiratory distress syndrome (ARDS) and multiple organ dysfunction syndrome (MODS). The mortality is reported to be around 2.3%. Thus, early detection and early treatment is very important to the improvement of NCIP patients' prognosis. At present, NCIP RNA detection of pharyngeal swab specimen by RT-PCR is recommended. However, due to the universal susceptibility to 2019 nCoV in general population and limited number of NCIP RNA detection kits available, to identify an efficient screening strategy is urgently needed. This study aim to develop and validate the diagnostic accuracy and screening efficiency of a new NCIP screening strategy, which can benefit the disease prevention and control.

Covid-SER is a prospective multi-center study for the evaluation of diagnostic performance of available serological tests

The purpose of the study is to develop a clinical test based on breath analysis that can be used for disease diagnosis or prognosis.

In late December 2019, several local health facilities reported clusters of patients with pneumonia of unknown cause that were epidemiologically linked to a seafood and wet animal wholesale market in Wuhan, Hubei Province, China. It is now confirmed that the etiology of this outbreak is a novel coronavirus, namely, 2019-nCoV. Of critical importance is rapid and simple diagnostic method to be used in clinical settings to timely inform and refine strategies that can prevent, control, and stop the spread of 2019-nCoV. Recombinase aided amplification (RAA) assay is a novel isothermal nucleic acid amplification technique in recent years, which has a variety of the advantages including high specificity and sensitivity, rapid detection (30 min), low cost, low equipment requirements and simple operation. The has successfully detected a variety of pathogens using this technique. To develop a RAA assay for 2019-nCoV with the advantages of high speed, simple operation and low cost, and overcomes the shortcomings of the existing molecular detection methods. The investigators established a real time reverse-transcription RAA (RT-RAA) assay for detection of 2019-nCoV. This assay was performed at 42°C within 30min using a portable real-time fluorescence detector, Recombinant plasmids containing conserved ORF1ab genes was used to analyze the specificity and sensitivity. Clinical specimens from patients who were suspected of being infected with 2019-nCoV were used to evaluate the performance of the assay. In parallel, The investigators also used the commercial RT-qPCR assay kit for 2019-nCoV as a reference.

This is a prospective, multi-site study designed to evaluate whether the use of hydroxychloroquine in healthcare workers (HCW), Nursing Home Workers (NHW), first responders (FR), and Detroit Department of Transportation bus drivers (DDOT) in SE, Michigan, can prevent the acquisition, symptoms and clinical COVID-19 infection The primary objective of this study is to determine whether the use of daily or weekly oral hydroxychloroquine (HCQ) therapy will prevent SARS-CoV-2 infection and COVID-19 viremia and clinical COVID-19 infection healthcare workers (HCW) and first responders (FR) (EMS, Fire, Police, bus drivers) in Southeast Michigan. Preventing COVID-19 transmission to HCW, FR, and Detroit Department of Transportation (DDOT) bus drivers is a critical step in preserving the health care and first responder force, the prevention of COVID-19 transmission in health care facilities, with the potential to preserve thousands of lives in addition to sustaining health care systems and civil services both nationally and globally. If efficacious, further studies on the use of hydroxychloroquine to prevent COVID-19 in the general population could be undertaken, with a potential impact on hundreds of thousands of lives.

All patients included in this search will be on anonymized file: Symptomatic patients consulting for suspicion of COVID 19 with indication to a screening (RT-PCR, Scanner) according to the criteria of the Ministry of Health. To evaluate the diagnostic performance of chest CT in screening for COVID-related lung injury in patients with a clinical suspicion of COVID. CT scan results for COVID according to French thoracic imaging society will be dichotomized into evocative or compatible (considered positive) non-evocative (considered negative) The results will be compared to the gold standard corresponding to a multiparametric element: the discharge summary. Ct Scan performance will be recorded and analyzed.