Active clinical trials for "COVID-19"

There is no predictive tool for patients admitted to the emergency department with a suspicion of Covid-19 that will worsen secondarily and require a heavy lifting. In a context of saturation of the healthcare system by the pandemic at Covid-19,it is essential to identify specific, accessible prognostic markers via minimally invasive sampling with low risk of infection for personnel caregiver, for optimal allocation of resuscitation resources. This study proposes to evaluate the biological markers of routine care known to be associated with resuscitation admission in relation to hospitalization on conventional service for the prediction of worsening of patients admitted to the emergencies for Covid-19.

The research aim to collect large samples of COVID-19 disease patients with clinical symptoms, laboratory and imaging examination data. Screening the biological indicators which are related to the occurrence of severe diseases. Then, investigators using artificial intelligence (AI) technology deep learning method to find a prediction model that can dynamically quantify COVID-19 disease severity.

The oral manifestation of COVID 19 that could help in the diagnosis of patient

This study will determine the neurological profile and predictors of outcomes in patients with COVID-19 disease in the Philippines. It will also evaluate if there is significant difference between COVID-19 patients with neurological manifestations compared to those COVID-19 patients without neurological manifestations in terms of various prespecified clinical outcomes. Furthermore, the likelihood of these outcomes in COVID-19 patients with neurological manifestations compared to those without neurological manifestation will be determined in this study.

The primary objective of the study aims to evaluate serological assays of virus Covid-19.

Healthcare workers play a critical role in fighting the pandemic, not only by managing the patients' health clinically, but also by implementing adequate measures for infection prevention and control in healthcare facilities. This puts healthcare workers at a greater risk of acquiring the disease. COVID-19 is caused by Severe Acute Respiratory Syndrome Coronavirus -2 (SARS-CoV-2) and many people can be infected with it asymptomatically and undetectably. Serology is an antibody test that provides additional information to polymerase chain-reaction (PCR) testing as it is the only way to reliably establish the fraction of the population that was infected . Seroconversion is the development of antibodies in the blood which can confirm suspected cases after the fact and reveal who was infected but asymptomatic and never realized it. Antibodies are specific proteins created as the body's response to the infection and this test is essential for detecting infected individuals with few or no symptoms at all.

The Lille University Hospital developped a research objective common to all the services which took care of patients, "suspected patient", "possible case", "probable case" or "confirmed case" infected with SARS-CoV-2 by constituting a prospective and a retrospective observational cohort which allowed pooling and sharing the resources and data collected. In the next two years the prospective cohort will allow to continue inclusions in a standardized way mainly for the constitution of a negative control group (excluded cases), to collect biological samples which had not been collected in the retrospective cohort so that the pathophysiology of the COVID-19 will be better apprehended as for example the inflammatory response to the viral infection. Finally in case of a second epidemic wave in the Hauts De France, it seems essential to have a defined research protocol which had already received all the necessary authorizations to guarantee cutting-edge (or quality ) research in a center like the Lille University Hospital.The aim objective of this study is to identify predictive factors of mortality to day 28 infection to SARS-CoV-2 for patients under medical care for the COVID-19 in the Lille University Hospital thanks to the constitution of an epidemiological, clinical, biological, immunological, genetic, microbiological, anatomopathologic, radiological, therapeutic database and so record the results of functional exploration exams.

The Maison des Adolescents (MDA) at Cochin Hospital (Paris) is a multidisciplinary service which welcomes adolescents in three different units: consultation, day care and hospitalization. However, the epidemic of coronavirus (COVID-19) in March 2020 which imposed the extreme limitation of contacts and then the confinement of the entire population, required urgent adaptation of care practices. Teleconsultation quickly became essential for most consultations (psychiatrists, psychologists, nurses, but also pediatricians and somatic physicians). In day hospital, daily reception could not be carried out, therapeutic workshops, family interviews, or speaking groups were organized remotely. In hospital unit, the interruption of visits required the organization of remote interviews with families. Far from the comfort of an organized and structured telepsychiatry, the use of videoconferencing was done in an emergency and without preparation. The objective is to explore the experience of adolescents, doctors and psychologists regarding emergency changes in the methods of their follow-up by setting up teleconsultation in the context of the COVID-19 epidemic.

The Risk stratification in COVID-19 patients in the ICU (RISC-19-ICU) registry was founded during the emerging SARS-CoV-2 pandemic. COVID-19 is a novel disease caused by infection with the SARS-CoV-2 virus that was first described in December 2019. The disease has spread exponentially in many countries and has reached global pandemic status within three months. According to first experience, hospitalization was required in approximately 20 % of cases and severe, life-threatening illness resulted in approximately 10 %. In some countries, health care systems were overwhelmed by the rapid increase in critically ill patients that far exceeded their capacity. It is thus of utmost importance to gain knowledge about the characteristics and course of critically ill patients with COVID-19 and to stratify these patients according to their risk for further deterioration. A key part of fighting this pandemic is to exchange scientific information and advance our understanding of the disease. The Risk stratification in COVID-19 patients in the ICU (RISC-19-ICU) registry aims to collect an anonymized dataset to characterize patients that develop life-threatening critical illness due to COVID-19 and make it accessible to collaborative analysis. The data collected may be composed of a core dataset and/or an extended dataset. The core dataset consists of a basic set of parameters, of which many are commonly generated during treatment of critically ill patients with COVID-19 in an intensive care unit (the individual parameters are marked yellow in the attached case report forms, and are clearly marked on the electronic case report forms during data entry). The extended dataset consists of parameters that may be measured during treatment of critically ill patients with COVID-19 in an intensive care unit, depending on clinical practice, indication and availability of the measurement method. The data accumulating in the registry as the pandemic or subsequent waves develop are made available to the collaborators to support an optimal response to the pandemic threat. The information gained on the initial characteristics and disease course via the RISC-19-ICU registry may contribute to a better understanding of the risk factors for developing critical illness due to COVID-19 and for an unfavorable disease course, and thus support informed patient triage and management decisions. Initial research questions are (I) to perform risk stratification of critically ill patients with COVID-19 to find predictors associated with the development of critical illness due to COVID-19: characterization of the study population, which are critically ill patients with COVID-19: inflammation, oxygenation, circulatory function, among other parameters collected in the registry, and (II) to perform risk stratification of critically ill patients with COVID-19 to predict outcome after ICU admission (ICU mortality, ICU length of stay): characterization of patients grouped by disease course in the ICU, based on inflammation, oxygenation, circulatory function, and other parameters collected in the registry.

The purpose of this study is to collect French medical data for patients with Multiple Sclerosis (MS) or NeuroMyelitis Optica (NMO) spectrum disorder who are diagnosed or strongly suspected of being infected with Covid19. The objective of this study is to provide scientific information regarding the possible risk factors in these patients, as a large part of them receive immunomodulatory or immunosuppressive treatments. The main objective of this study is thus to determine the epidemiological (eg, age, form of disease, disability) and pharmacological (related to immunomodulatory or immunosuppressive treatments) factors favoring the occurrence of a severe form of Covid-19 in MS and NMO patients.