COVID-19 Clinical Trials and Expanded Access

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.

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.

The COVID-19 pandemic has already overwhelmed the sanitary capacity. Additional therapeutic arsenals, albeit untested in the given context but previously proven to be efficacious in a related clinical context, that could reduce the morbidity rate are urgently needed. A decrease of Heart Rate Variability (HRV) is a validated bad prognosis marker in sepsis and acute respiratory distress syndrome. In contrast, auricular vagus nerve stimulation was proven not only to increase HRV values in healthy Humans, but also to reduce sepsis and increase survival, both significantly, in experimental models. Moreover, the heavy viral infection within the brainstem of deceased patients suggests that the neuroinvasive potential of SARS-CoV2 is likely to be partially responsible for COVID-19 acute respiratory failure and may bear relevance in tailoring future treatment modalities. Interestingly, the vagus nerve (or tenth cranial nerve) connects bidirectionally the brainstem to various internal organs including the lung and to one external organ, namely, the outer ear. Hence, the impact of auricular vagus nerve stimulation through semi-permanent needles will be studied, mostly used so far for pain alleviation, on the outcome of COVID-19 inpatients within 15 days.

Blood samples from participants who have recovered from COVID-19 infection will be obtained and studied. The goal of the research is to identify antibodies that have been generated by the patient to fight the COVID-19 infection. By identifying the most effective antibodies, scientists can make specific antibodies to use to prevent future coronavirus outbreaks or to treat patients with severe disease.

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

Experimental intervention: Insertion of Extracorporal Membrane Oxygenation (ECMO) within 24 hours of referral to an Intensive Care Unit. Control intervention: Insertion of Extracorporal Membrane Oxygenation (ECMO) as rescue therapy following failure of conventional therapy for ARDS. This conventional therapy will be standardized to reduce bias. Duration of intervention per patient: varies, depending on severity of pulmonary compromise Follow-up per patient: Until hospital discharge Accompanying measures: Serum Samples and bronchoscopy samples of patients included into the trial for secondary analysis of inflammatory parameters and potential biomarkers