Active clinical trials for "COVID-19"

COVID-19 is an infectious disease caused by a newly discovered Coronavirus which was first identified in Wuhan, China in December 2019. Then the novel coronavirus outbreak was described and announced as a pandemic by World Health Organization (WHO) on March 11, 2020. Reverse transcription-polymerase chain reaction (RT-PCR) is currently the gold standard test for diagnosis of COVID-19. Nevertheless, due to its high false-negative rates (%10-50), diagnosis and treatment decisions do not depend on RT-PCR alone. Clinical presentation of patient and radiological findings are also important. However, neither clinical presentation nor computed tomography (CT) findings are specific for COVID-19. As a consequence of these challenges, the diagnosis of the disease and the protection of the community health become more difficult. The investigators of this study hypothesized that deep learning-based decision support system may help for definitive diagnosis of COVID-19. The aim is to develop a deep learning-based decision support system algorithm based on clinical presentation of patient, laboratory and CT findings and RT-PCR data. Previously, deep learning algorithms with the use of widely known deep neural network architectures such as Inception, UNet, ResNet were developed. However all of these studies were based on CT findings. There are not any deep learning study in literature combining the clinical, radiological, and laboratory findings of patients. The project is based on the available data of COVID-19 patients that will be obtained from the Ministry of Health. Then the data will be evaluated for relevance and reliability and labeled for the training of machine. Following the anonymization of data, data will be processed according to the predetermined inclusion-exclusion criteria. Thorax CT data will be labeled as typical / indeterminate / atypical / negative for COVID-19 pneumonia. Also, CT images of patients with known non-COVID-19 diseases will be labeled for the training of machine. Then, fever, lymphocyte count, neutrophil to lymphocyte ratio, contact information, RT-PCR findings will be labeled. Subsequently, the patients will be labeled and the machine will be trained with deep learning method with the help of this grouped and labeled data. Following the training phase, the algorithm will be tested and if the machine reaches the target specificity and sensitivity, the prototype will be tested. And then, the prototype will be embedded into the hospital software system. This software and algorithm will serve as an early warning system for clinicians and provide a better diagnostic rate especially with decreasing false-negative results. The effects of a pandemic cannot be measured by only the number of people diagnosed and isolated, or treatment provided. A pandemic affects not only community health but also individuals' psychological status, education, teaching methods, working models, daily lifestyles, producer/consumer behaviors, supply/demand balance; in other words every single area of life. On top of that, a pandemic causes long-term damages hard to reverse. The software will increase the diagnostic success rates, help to control the pandemic and minimize the collateral damages mentioned above. The investigators believe that, the product that will be produced at the end of this project will be of great benefit in controlling the secondary wave of COVID-19 expected to occur.

The pressure on care and the demand for critical decision-making generated by the current SARS-CoV-2 (COVID-19) pandemic, together with the situation of extreme social alarm and the adverse conditions in which care work must be promoted at this time, draw an extreme scenario in which action is urgently needed to alleviate emotional overload, acute stress reactions and other affective pathologies or psychosomatic reactions that may eventually lead to post-traumatic stress situations. This eventuality is being observed massively among professionals from different groups and levels of responsibility. In the case of healthcare personnel, it should be added that the care of non-COVID19 patients (of all pathologies and conditions) is clearly compromised and it is up to the professionals as a whole to make critical decisions and exercise a professional practice that is radically different from what has usually been done, which may require the application of undesirable triage criteria that are difficult for everyone to assume. Healthcare professionals and other essential personnel for healthcare and social-healthcare work (including personnel from external companies) are being subjected to emotional tensions and extraordinary, high-intensity work demands. Without professionals who feel supported and with moral strength, care will be even more compromised. The current scenario makes us think of many critical situations that are occurring as a result of the overload experienced. It is essential to act in order to counteract the devastating effect of this health crisis on health professionals and those who support them in their care work.

Phase I-II open prospective, two-stage, non-randomized study in healthy volunteers.

Since the end of 2019, Egypt and the whole world have been suffering from the Coronavirus Disease 2019 (COVID-19) pandemic, which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). According to the World Health Organization (WHO), since the emergence of this new pandemic, there have been more than 97 million confirmed cases of COVID-19 patients and two million death globally; around 160 thousand of these cases are in Egypt. Recent clinical investigations found a high incidence of thrombotic complications in these patients, even with the standard anticoagulant thromboprophylaxis.Coronavirus disease 2019 (COVID-19) causes a hypercoagulable state. Among the pathological sequel of COVID-19 infection, is the presence of a micro-thrombi in the pulmonary circulation which was shown in several autopsy studies. This thrombosis is believed to contribute to gas exchange impairment among patients with COVID-19 infection. Some observational studies have shown anticoagulation benefits with reduced mortality, mainly in patients requiring mechanical ventilation. However, these findings remain uncertain and need to be validated in further studies. This study is performed to evaluate whether therapeutic anticoagulation could improve COVID-19 patients' clinical outcomes compared to prophylactic anticoagulation in terms of improving gas exchange, reducing the need to maintain mechanical ventilation, shortening hospital admission period and mortality rate as well as recovering D-dimmer levels to its normal values.

In the study, the researchers aim to investigate the impact of contact restrictions during the pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on newborns and their parents. At the onset of this COVID-19 pandemic, contact restrictions in Germany were introduced on March 16th, 2020. These included, among others, the ban on visits to hospitals. This also applied to visits by fathers of newborn children. In many hospitals, fathers were allowed to accompany the mother in the delivery room for birth, but had to leave the hospital before the mother was being transferred to the ward. Fathers were not allowed to visit their wives and newborns until discharge several days later. The hypothesis of this study is that these contact restrictions have an influence on mother-infant interaction as well as on the psychological well-being of the parents. Furthermore, the investigators postulate that these restrictions additionally have a long-term effect on neonatal stress signaling pathways. For this purpose, children are studied, who were born during the period of strict contact restrictions from March, 16th to April, 30th, 2020. The children will be assessed at about six months of age.

During the COVID-19 pandemic, a small minority of children have been presenting to acute paediatric services with a new syndrome, Paediatric Inflammatory Multisystem Syndrome temporally associated with SARS-Cov-2 (PIMS-TS). Children with PIMS-TS present with symptoms of inflammation caused by the immune system going into overdrive - this is likely to be in response to the virus. More severe cases involve inflammation and damage to the heart. The focus of this project is to identify children with milder forms of PIMS-TS who are at risk of progression to more severe disease. Being able to predict the disease course of PIMS-TS at an early stage is important as it will allow clinicians to decide which patients should be treated with immunosuppressants, which have been shown to reduce the severity of the illness but have side effects. Early data suggests that children with PIMS-TS have elevated biomarkers associated with an over-reaction of the body's immune system (also known as a 'cytokine storm') reaction. This study will explore whether children presenting with milder PIMS-TS have elevated 'cytokine storm' blood profiles and whether these profiles differ between children who continue to have a mild disease course compared to those who develop severe disease.

Psychological stress (PSS) is one of the most common problems among healthcare providers during COVID-19 pandemic. PSS influences the homeostatic equilibrium of the body, involving activation of the sympathetic nervous system and hypothalamus pituitary adrenal (HPA) axis. Copeptin; C-terminal portion of Vasopressin (AVP) precursor is stable. Nevertheless, Evidence about influence of PSS on copeptin levels is lacking. The reason we are doing this research is to determine the level of psychological stress among healthcare providers exposed to at the time of work in intensive care unit (ICU) during COVID-19 pandemic; They will be appraised every assembly for psychological stress level; before start of duty shifts (first time), one week after start (second time) and two weeks after departure from shift duties in ICU (third time) for assessment of psychological stress level and stress hormones.

Little is known about changes in levels of academic, financial, psychological, & hygienic impact on medical students during this pandemic.

As it is evident that Covid-19 may have some impacts on cognition, the primary aim of this study is to investigate -if any- deficits of attention, working memory and executive functions after Covid-19.

With the rapid spread of COVID-19 (SARS-CoV-2) disease all over the world and the announcement of a pandemic, research on many different drug approaches has begun and these researches continue today. Although measures such as social distance, quarantine and isolation are effective in reducing the spread of SARS-CoV-2 in the short term during the pandemic, there is no effective treatment method yet. It is known that especially healthcare workers, the elderly and individuals with underlying health problems are at high risk. However, gender differences in COVID-19 clinical outcomes are thought to exist, and there is growing evidence that the disease is more severe in men than in women and mortality rates are higher.With the global consensus that the most effective approach to control the COVID-19 pandemic is a vaccination that is effective in COVID-19, vaccines have been developed with many different methods. CoronaVac vaccine (inactivated + aluminum adjuvant vaccine) is a vaccine developed with the inactive method, which is the classic vaccine production method. After the completion of Phase 1 and Phase 2 trials of the vaccine, Phase 3 trials were initiated to investigate the effectiveness of the vaccine in 4 different countries, including Turkey. Emergency use approval has been given for the CoronaVac vaccine by Turkish Pharmaceuticals and Medical Devices Agency. Researching the effects of vaccination on oxidative stress parameters, trace element and quality of life levels in COVID-19 may provide useful information in determining the effects of COVID-19 vaccine. It is thought that the anti-inflammatory and antioxidant properties of some vitamins and trace elements may be associated with positive results in COVID-19 patients, and the physiological roles of these vitamins and trace elements in COVID-19 have been demonstrated by studies. It is important to investigate the levels of free radicals known to be effective in the development of cardiovascular disease due to oxidative stress, which can provide information on determining the risk of cardiovascular complications in the COVID-19 pandemic. In addition, the quality of life of individuals decreases in the COVID-19 pandemic.This study is planned to be carried out by including male individuals to be vaccinated in İzmir Bakırçay University Çiğli Training and Research Hospital. Determination of oxidative stress parameters, trace element levels and quality of life levels before and after vaccination applications to be applied to individuals within the scope of the study; It was planned to compare these data before and after vaccination. After analyzing the data obtained from the research with appropriate statistical methods, the data will be evaluated.