Active clinical trials for "Respiratory Tract (Lung and Bronchial) Diseases"

In children with cerebral palsy, the gastric volume is measured through ultrasound after fasting before surgery to evaluate whether the risk of aspiration is higher than that of the general population.

Digital misinformation has been flagged as a major risk of the 21st century, with an estimated cost of $78 billion to the global economy each year. Given this scope, we propose to characterize how misinformation is spread via messenger platforms (e.g. WhatsApp). Specifically, we seek to: Identify metrics of potential misinformation (Aim 1). This is based on the hypothesis that although message contents are highly private, proxy markers can be used to identify potential misinformation. Understand the base-rate by which misinformation is shared via messaging applications (Aim 2). This is founded on the hypothesis that misinformation is endemic on messaging platforms, and thus needs to be documented. Identify "super spreaders" responsible for sending and receiving a large volume of misinformation (Aim 3). Here, we hypothesise that a small group of super spreaders are responsible for the bulk of misinformation-sharing on messaging applications. The thrust of this work aligns with both government priorities and the grant's thematic areas, providing actionable findings that are timely amidst a worldwide surge of misinformation.

This study is aimed to detect severe fear of delivery and its association with the incidence of obsessive-compulsive disorder and symptoms of depression and anxiety in the population of pregnant women in the third trimester during the serious COVID-19 pandemic situation in Slovakia. Data will be acquired from three departments of gynaecology and obstetrics of University Hospital Bratislava. The majority of pregnancies from the region are managed in this hospital; the total number of deliveries in 2020 achieved 7,835

Since the first local case of COVID-19 confirmed on 4 Feb 2020, Hong Kong has already experienced 4 waves of COVID-19 surge, with more than 9000 cases reported. A number of vaccines have been shown to be efficacious against symptomatic and severe infection by inducing neutralizing antibody (NAB) against spike protein of the SARS-CoV-2 virus. However, the duration of protection and longevity of antibody response is unknown. Health care workers (HCWs) who are planning to receive COVID-19 vaccine will be recruited. The level of antibody against spike protein by different quantitative assays will also be serially measured .

The investigators developed an index that integrates different flow-settings in High-flow nasal cannula (HFNC) therapy with non-invasively measured clinical parameters of oxygenation in pediatric patients. This observational study is designed to evaluate this index and to determine a cut-off value for imminent HFNC failure.

The purpose of the research is to evaluate new blood tests, which measure immunity to the COVID-19 coronavirus after vaccination. These tests will be used to measure T-cell and antibody immunity after COVID-19 vaccination. Recent studies show that less than one-fifth of chronically immunosuppressed transplant recipients developed anti-receptor-binding domain antibodies after the first dose of the Pfizer vaccine (Boyarski, 2021). ood sampling at periodic intervals. These samples will be used to measure T-cell and antibody immunity to the COVID-19 coronavirus.

Acute respiratory insufficiency is one of the principal causes of intensive care admission for COVID 19 positive patients. This may determine a variable mortality rate ranging from 25-30%. In these patients, many days of non-invasive or invasive mechanical ventilation are needed to correct severe hypoxemia. Mechanical ventilation is not a direct therapy but allows the clinicians to prolong the "time-to-recovery" interval necessary for COVID 19 respiratory insufficiency treatment. Long intensive care stay, mechanical ventilation, the use of steroids and sedatives have an impact on the survivors. Previous studies demonstrated that patients admitted to intensive care with non-COVID acute respiratory distress syndrome had a reduction in the quality of life even up to one year after discharge. The aim of this study is to understand if COVID-19 related acute respiratory distress syndrome has a worse impact on the quality of life one year after discharge when compared with non-COVID-19 acute respiratory distress syndrome.

SUBPROJECT 1: Describe the situation of post-Covid patients in terms of muscle (skeletal and respiratory), cognitive, emotional and health-related quality of life in the 1st visit of the multidisciplinary post-covid rehabilitation consultation at the Hospital. Retrospective observational study. The data collected in clinical records during the first visit in the post-covid Rehabilitation consultation will be analysed. SUBPROJECT 2: Evaluate the response to a personalized rehabilitation program in patients with post-covid sequelae in terms of muscle (skeletal and respiratory), and health-related quality of life. Prospective observational study of a single cohort of patients. The data will be collected from successive clinical visits.

Despite the global preventive efforts (physical distancing, face, mask, travel constraints, and quarantine) to contain the infection, COVID-19 is continuing with its devastating consequences on health, life, and economics. The world's hopes are attached to a successful preventive measure that is the vaccination which has proved its capability to stop infections and save lives over the years. World Health Organization (WHO) declared vaccination hesitancy as one of the top 10 obstacles for global health. Multicentric study involved Arab countries measure hesitancy of HCWs toward vaccine, it reported the highest rates of hesitancy were among participants from the western regions of the Arab world (Egypt, Morocco, Tunisia, and Algeria). This study aims to evaluate the attitude and the determinants of this attitude of HCWs towards receiving or refusing to have their first dose of vaccination.

The incidence rate and mortality of lung infection are high worldwide. It is a common and frequently occurring disease which seriously threatens human health. Severe pneumonia accounts for 18-36% of all pneumonia. Severe pneumonia has caused serious economic and medical burden. Therefore, it is urgent to carry out the real-world cohort study of severe pneumonia. Big data and sample library will provide useful clinical guidance and scientific research reserves for clinicians. Through further research, we can improve the treatment success rate and reduce the mortality. The purpose of this study is to provide reliable biological samples and related data information for the relevant basic and clinical trials in the field of severe pneumonia by carrying out the construction of special disease cohort database and biological sample holographic database, and to establish a long-term sharing platform for the transformation of research results into clinical practice, improve the prognosis of severe pneumonia,and provide the evidence for improving the diagnosis and treatment of severe pneumonia suitable for China's national conditions.