Active clinical trials for "COVID-19"

The investigators plan to use all of the information available within their local NHS hospitals Trust to work out what happens to people admitted with both suspected and proven Covid-19 infections. The investigators will use all of the information that they can to provide the most evidence possible to use in their investigation as this will make the results more accurate. This will include information on existing health conditions (e.g. by looking at previous discharge letters, GP summaries), clinical observations recorded in the hospital (e.g. temperature, blood pressure, pulse, oxygen levels) and laboratory measures (e.g. blood markers of infection). The investigators experienced team will then analyse all of this together with information about whether the person has Covid-19 to help work out what any new patients' risk will be. To do this the investigators need to use individual patients' information, however once removed from the hospital records system it will not be identifiable and will be held securely within the hospital at all times. As a result of this work the investigators plan to be able to do two things: When a patient is admitted to hospital with possible or confirmed Covid-19 the investigators will be able to make a highly accurate prediction of what is likely to happen to them (e.g. being admitted to high dependency or intensive care, dying or surviving to discharge) which will help health care professional make decisions about their care. By knowing what is likely to happen to a patient the investigators are able to make informed decisions about how to distribute healthcare resources e.g. which areas are likely to need more ventilators (machines to help with breathing), need for intensive care beds, discharge planning.

COVID-19 pandemics have changed extensively the lives around the world. Although most physicians of obstetrics and gynecology have no critical role in the frontline against COVID-19 pandemics, their work, research and education activities still underwent great changes. The primary aim of this study is to analyze change of workload during the COVID-19 pandemics in physicians of obstetrics and gynecology in China. A customized questionnaire will be delivered by the social software WeChat to the specific hospital which has been randomly sampled, and all physicians of Obstetrics and Gynecology in this hospital will fill the questionnaire anonymously. A random sampling will be performed in all 32 provinces, municipality or autonomous regions in the mainland of China. It is assumed that acceptable 95% confidence interval is P±4%, and the sample size under the condition of simple random sampling is 600 persons. If the homogeneity is set as 0.15 or 0.2, and each population (unit) has 10 or 15 persons accepting survey, we will achieve a design effect of 2.35 to 3.80. If we choose the design effect of 3, the sample size of every level needs is 1800. Considering 10% population refusing to be surveyed, in all mainland of China, three levels of hospitals will include at least 6000 physicians who accept survey.

Since the SARS-CoV-2 infection is relatively new, the long term attributable burden related to COVID19 has not been investigated yet. To date, in patients with COVID-19 and their family members, there is little information on the functional status, cognitive ability, pattern of return to work, and health related quality of life after the ICU admission. This study aims to describe the psychological wellbeing, physical - and social functioning of COVID-19 ICU survivors and their family members up to 12 months following ICU discharge.

In this study, clinically cured patients with severe COVID-19 were used to evaluate the therapeutic effect of COVID-19 and the recovery and health status of patients over time with highly sensitive PET/CT imaging technology. At the same time, PET/CT whole body scan, dynamic imaging and mathematical dynamic model were combined to evaluate the functions of the heart, lung, liver, kidney, brain and other important organs and the outcome of inflammatory lesions in clinically cured COVID-19 patients.

An estimated 22% of the global population is at an increased risk of a severe form of COVID-19, while one in four coronavirus patients admitted to intensive care unit will develop a pulmonary embolism. A major public health question remains to be investigated: why COVID-19 is mild for some, critically severe for others and why only a percentage of COVID-19 patients develop thrombosis, despite the disease's proven hypercoagulable state? Patients' intrinsic characteristics might be responsible for the deep variety of disease forms. Our study aims to assess the validity of the hypothesis according to which underlining genetic variations might be responsible for different degrees of severity and thrombotic events risks in the novel coronavirus disease. Moreover, we suspect that prothrombotic genotypes occuring in the genes that encode angiotensin-converting enzyme (ACE-DEL/INS) and angiotensinogen (AGT M235T) are involved in the unpredictable evolution of COVID-19, both in terms of severity and thrombotic events, due to the strong interactions of SARS-CoV-2 with the renin-angiotensin-aldosterone system (RAAS). Therefore, we also aim to assess the validity of the theory according to which there is a pre-existing atypical modulation of RAAS in COVID-19 patients that develop severe forms and/or thrombosis. Our hypothesis is based on various observations. Firstly, there is a substantial similarity with a reasonably related condition such as sepsis, for which there is a validated theory stating that thrombophilic mutations affect patients' clinical response. Secondly, racial and ethnic genetic differences are responsible for significant dissimilar thrombotic risks among various nations. Thirdly, an increase in stroke incidence has been reported in young patients with COVID-19, without essential thrombosis risk factors, favoring the idea that a genetic predisposition could contribute to increase the thrombotic and thromboembolic risk. Fourthly, the plasminogen activator inhibitor (PAI)-1 4G/5G inherited mutation was found to be responsible for a thrombotic state causing post-SARS osteonecrosis.

The study aims to systematically examine various aspects of the anxiety associated with the COVID-19 pandemic in Germany. The data collection is carried out online with longitudinal repeated measurements.

A descriptive study that will quantify the mean IgG antibodies remaining in vaccinated healthy participants after their COVID booster.

This study is a comparison of the ID Now COVID-19 (Abbott) assay to the Accula SARS-CoV-2 (Mesa Biotech) assay to assist in the identification of infection with COVID-19. The tests will be compared for sensitivity, specificity, positive predictive value and negative predictive value.

The purpose of this study is to assess the immunogenicity of nationally available pre-defined homologous booster vaccination of a SARS-CoV-2 WHO EUA qualified vaccination in adults aged 18 years and older

Protocol Summary Study design: Prospective cohort study of pregnant COVID-19 positive patients at delivery. Study Objective: To collect umbilical cord blood and placenta samples at the time of delivery in COVID-19 positive women and evaluate for presence of COVID-19 virus and maternal antibody response. Inclusion/Exclusion Criteria: Women admitted for delivery who are known or suspected COVID-19 positive who have had standard nasal swab testing for COVID-19. Study Procedures: Informed consent for patients will be obtained. Maternal blood will be collected for viral and antibody tests for COVID-19. Following delivery of the neonate, cord blood and placenta samples will be collected and sent for viral PCR and maternal antibody analysis. Neonatal testing will be done as per existing clinical protocol for infants born to PUI/COVID-19 positive women. Statistical Analysis: Statistical analysis for this study will include descriptive analysis and quantitative statistics of findings.