Active clinical trials for "Coronavirus Infections"

Demographics of pregnant COVID persons under investigation and those who were positive from March-May 2020. Looking at demographics including age, socio-economic status and pregnancy outcomes in these groups.

This work was aimed to determine the time of COVID 19 viral clearance in healthcare workers, assessment of clinical presentation and severity of COVID 19 infection among healthcare workers and discover relation between the time of COVID 19 viral clearance resolution of symptoms

Coronavirus infection, also known as COVID-19, has become a global pandemic with over 3 million cases and 250,000 deaths worldwide. Coronaviruses (CoV) belong to a family of viruses that predominately infect mammals and birds, affecting their lungs, intestinal tract, liver and nervous systems. Prior to the discovery of the current novel coronavirus strain (SARS-CoV-2), there were six different strains that are known to infect humans, which includes the virus that caused the severe acute respiratory syndrome (SARS) pandemic in 2002. In humans, the majority of severe illness from SARs and COVID-19 is due to inflammation of the lungs and pneumonia. Pregnancy poses a significantly increased risk of viral pneumonia and during SARS more pregnant women required intensive care and breathing support, and the proportion of deaths was higher when compared to non-pregnant adults. Furthermore, kidney failure and development of abnormal blood clotting disorders, which occurs during severe infection, is more common in pregnancy and the associated changes in blood vessels extend to the placentas of infected pregnant women, thus potentially affecting the fetus. This makes pregnant women affected by the virus at high risk of developing severe complications. Fortunately, there have been a number of biomarkers identified that are associated with illness severity. These include, specialised white blood cells, blood clotting cells and constituents, as well as other measures of heart and kidney function. We propose that these biomarkers are important correlates of clinical disease severity and prognosis in pregnant and postnatal women. This knowledge has the potential to help clinicians during this pandemic to better manage and care for their patients.

Application of a survey in electronic support to hospital professionals. This survey will include different demographics as well as questions from own elaboration about the different aspects related to the development of work during the health emergency. A third part will be included different validated scales for screening / diagnosis of different problems that can present those who are working in the Current situation. The different scales are the PHQ-9, GAD 7, ISI, and EIE-R. These scales address the different problems that have been seen that can introduce professionals, Depression, Anxiety, Insomnia and adaptation to stressors.

The purpose of the program. To determine the clinical, functional, immunological, and genetic factors affecting the severity of the course of acute coronavirus infection COVID-19 and PostCovid syndrome, in order to develop management tactics for such patients to reduce the risk of complications and disability.

Viral respiratory infections are common infectious complications after kidney transplantation, especially in the pediatric age group, and immunosuppressed patients may develop more severe disease. Immunosuppressive medications alter the patient's immune response by acting on humoral, cellular immunity and neutrophil function, increasing the risk of serious viral infections. Little is known about how these patients respond to infection by the new coronavirus (SARS-CoV-2). Experience with SARS caused by the Influenza H1N1 virus suggests that the severity of the disease depends on pre-existing comorbidities and the individual immune response. In more severe cases, an imbalance between the inflammatory system and the immune system is observed, determining direct consequences when pro and anti-inflammatory cytokines reach the systemic circulation in an exacerbated and unbalanced manner. Such fact can generate "cytokine storm syndrome", resulting in multiple organ dysfunction syndrome. March 2020 reports from Papa Giovanni XXIII Hospital in Bergamo, Italy - one of the largest pediatric liver transplant centers - showed that the number of transplant patients infected with Coronavirus disease 2019 (COVID- 19) increased progressively. However, they did not see greater severity and complications in this population. Immunosuppression could act as a protective factor. The present study aims to describe the prevalence of viral infection by SARS-CoV-2 in a sample of immunosuppressed children, from three groups: kidney transplants, liver transplants and oncohematological. The investigators will also look for the epidemiological profile and clinical evolution of these patients, enabling a better understanding of the COVID-19 in this special population. The investigators' hypothesis is that infection with the new coronavirus may be asymptomatic in a large number of children and that immunosuppression, observed in liver and kidney transplant patients and also seen in cancer patients, may act as protection for severe forms of COVID-19. After obtaining written informed consent from the family, the investigators will include patients from 0-18 years of age, on regular outpatient follow-up, symptomatic or not, and will check for the presence of IgM/IgG antibodies against the SARS-CoV-2. For those symptomatic or with a positive IgM result, material (oro/nasopharyngeal swabs) for RT-PCR trial for the new coronavirus will be collected. Demographic and clinical variables will be registered. The outcomes are: Serology for COVID-19 result; PCR for COVID-19 result; presence of symptoms of COVID-19; proportion of patients with viral shedding on days 3,7,14,21 and 30 after diagnosis; need for hospital admission; need for Intensive care admission; death.

Coronavirus Disease 2019 (COVID-19) has been widespread worldwide since December 2019. It is highly contagious, and severe cases can lead to acute respiratory distress or multiple organ failure. On 11 March 2020, the WHO made the assessment that COVID-19 can be characterised as a pandemic. With the development of machine learning, deep learning based artificial intelligence (AI) technology has demonstrated tremendous success in the field of medical data analysis due to its capacity of extracting rich features from imaging and complex clinical datasets. In this study, we aim to use clinical data collected as part of routine clinical care (heart tracings, X-rays and CT scans) to train artificial intelligence and machine learning algorithms, to accurately predict the course of disease in patients with Covid-19 infection, using these datasets.

As of February 17th, 2020, China has 70635 confirmed cases of coronavirus disease 2019 (COVID-19), including 1772 deaths. Human-to-human spread of virus via respiratory droplets is currently considered to be the main route of transmission. The number of patients increased rapidly but the impact factors of clinical outcomes among hospitalized patients are still unclear.

The overall objective of the study is to determine which treatments (e.g. immune modulator drugs) have the most favorable benefit-risk in adult patients hospitalized with COVID-19 either diagnosed with moderate or severe pneumonia requiring no mechanical ventilation or critical pneumonia requiring mechanical ventilation. The specific aims of this Covid19 cohort are to collect observational data at regular intervals on an ongoing basis in order to embed a series of randomized controlled trials evaluating a various set of interventions for patients with COVID-19 pneumonia. The study has a cohort multiple Randomized Controlled Trials (cmRCT) design.

Covid-19 is associated with a wide range of symptoms and clinical trajectories, and early identification of patients at risk for developing severe disease is desirable. Several risk markers and comorbidity profiles have been proposed but their relative importance in unselected patients admitted to hospital with Covid-19 remains unclear. This study aims to assess the prognostic value organ specific biomarkers, viral dynamics and immune response markers in patients infected with SARS-CoV2.