Active clinical trials for "COVID-19"

The study hypothesis is that low-dose computed tomography (LDCT) coupled with artificial intelligence by deep learning would generate imaging biomarkers linked to the patient's short- and medium-term prognosis. The purpose of this study is to rapidly make available an early decision-making tool (from the first hospital consultation of the patient with symptoms related to SARS-CoV-2) based on the integration of several biomarkers (clinical, biological, imaging by thoracic scanner) allowing both personalized medicine and better anticipation of the patient's evolution in terms of care organization.

The purpose of the study COVID-EP is to classify all the complications occurring after the diagnosis of pulmonary embolism in patients tested initially COVID-19 positive and negative by RT-PCR (on nasopharyngeal sample) during the peak of the pandemic in France (April 2020). The patients will be followed for 1 year in order to provide clinical and paraclinical data not yet published in the literature. In order to secondarily confirm the COVID-19 status of initially negative COVID-19 patients (by RT-PCR), a serology test will be performed. The collected complications will then be compared between each of the 3 following groups: [PCR-COVID 19-Neg & Sero-COVID 19-Neg] versus [PCR-COVID 19-Neg & Sero-COVID 19-Pos] versus [PCR-COVID 19-Pos].

SAR-Cov-2 infection and its clinical manifestation known as COVID-19 beside the respiratory and lung involvement may include the cardiovascular system, the nervous system and the liver. In the acute phase of the disease, all of these conditions may be life-threatened. As a result, after the acute phase of COVID-19, early complications may be observed, including heart, lungs, brain, muscles and liver. A few papers to date have been reported of myocarditis, ventricular arrhythmias, post-inflammatory changes in the lung and liver, as well as ischemic changes in the brain, diseases of skeletal muscle, which may have adverse prognostic effects. Due to the extent of the pandemic, the severity of the complications and the expected high complications' prevalence in the early post-recovery period, a study was designed to determine the extent of the problem of early complications after COVID-19. Complex cardiological, pulmonary, neurological and hepatological diagnostics are planned, including laboratory, imaging and functional tests. The results obtained, in addition to determining the scale of the problem, will allow the selection of studies that optimally identify patients with early complications. The purpose of this procedure is to enable rapid treatment of diseases that are complications of SARS-COV-2 infection. An additional aspect raised in the project will be the issue of psychiatric disorders (anxiety, depression, post traumatic disorders). The main three purposes of the study include: the assessment of prevalence of particular complications after COVID-19. identification of the demographic and clinical risk factors of COVID-19 complications determining the diagnostic tests which are sufficient to detect early complications of COVID-19

This study is an observational study (Non-interventional study) to evaluate the safety and efficacy of favipiravir in patients older than 15 years of age, diagnosed with COVID-19 and initiated treatment with favipiravir before enrollment to the study. Patients who have already had a routine favipiravir treatment decision or alternatively favipiravir treatment started at the time of enrollment, will be included in this study.

1. Objectives: 1.-To create risk stratification scales of poor evolution in patients infected by SARS-CoV-2. 2.-Evaluate the accessibility and equity that these patients have had in the different care processes, diagnostic and therapeutic procedures, with special interest in patients who came from residences, by age, gender or geographic origin.3.-Evaluate the effectiveness of different therapeutic schemes that have been used in this pandemic. 4.-Evaluate the effectiveness of different diagnostic tests used to predict the poor evolution of these patients 5.- Evaluate the real costs associated with the treatment of hospitalized patients with COVID-19 ; 2. Methods: Information will be recorded from electronic medical record: epidemiological data, onset of symptoms, comorbidities and their treatments, symptoms, analytical data, vital signs, tests performed, treatments during admission and evolution up to 3 months after discharge. Statistical analysis: The investigators will use classic survival models, logistic regression, generalized linear models and also analysis using artificial intelligence techniques . Health care costs are assessed. Applications for decision making will be derived as a product.

The recent COVID-19 outbreak has put the health care workers on the frontline to interact and provide support to the patients. Based on previous disease outbreak-associated studies, it is evident that these individuals are at a high-risk of developing psychological distress such as burnout, anxiety, depression, and stress (BADS). Thus, the current study aims to evaluate the mental health outcomes of healthcare workers dealing with COVID-19 patients within Qatar and internationally, during and after the COVID-19 crisis. The participants will be divided into two groups: those working with COVID-19 patients and those not working with COVID-19 patients. The magnitude of symptoms of BADS will be assessed using electronic versions of the standardized questionnaires: Maslach Burnout Inventory (MBI-HSS), Hospital Anxiety and Depression Scale (HADS), Depression, Anxiety and Stress Scale (DASS-21), and Conditions for Work Effectiveness (CWEQ). A follow-up survey will be sent to both groups after the COVID-19 crisis to assess their vulnerability to develop post-trauma stress disorder (PTSD) using a PDS-5 survey.

Studies have shown that admission to hospital during a coronavirus epidemic is associated with increased levels of anxiety, depression and panic disorder. During the SARS-CoV-2 pandemic in North London the Royal Free Hospital admitted over 500 patients with Covid-19. As part of the standard of care, these patients are screened at 8 weeks post discharge for signs of anxiety and depression. The Feeling Good app is a NHS approved digital application which utilises applied relaxation, mindfulness based cognitive therapy and positive visualisation through audio tracks for the treatment of anxiety and depression. This is a naturalistic cohort study aimed to track the post illness psychological symptoms of those who have been admitted with Covid-19 to the Royal Free hospital up to 5-7 months after discharge. The study population is those who are exhibiting anxiety or depressive symptoms as measure by the PHQ-2 or TSQ questionnaires. All those with symptoms will be offered free access to a NHS approved app for anxiety and depression, and followed up for 3 months after recruitment to track changes to their symptoms.

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which first appeared in China, in December 2019 and is now spreading worldwide and poses a great threat to public health. In 12th July 2020, the total number of cases worldwide was about 13 million cases with case fatality rate of 4.4% and in Egypt the total cases was 81158 and case fatality rate was 4.6%. (1,2). In recent years, novel coronaviruses emerge periodically in different areas around the world. Severe acute respiratory syndrome coronavirus (SARS-CoV) occurred in 2002, which reportedly infected 8422 people with about 10% case fatality rate (3). Middle East respiratory syndrome coronavirus (MERS-CoV) was first identified in 2012 in Saudi Arabia, bringing a total of 1401 MERS-CoV infections, and about 35% case fatality rate (1). All the infection cases and recent epidemics show that coronaviruses impose a continuous threat to human beings and the economy as they emerge unexpectedly, spread easily, and lead to catastrophic consequences. As the number of recovered patients with COVID-19 continues to be increasing, the strength and duration of immunity after infection is an important point to be studied. Moreover, understanding this issue is a critical point for controlling this epidemic as they are the key for herd immunity and for informing decisions on how and when to ease physical distancing restrictions and to be ready for other waves of the infection. There is currently no evidence if the people who have recovered from COVID-19 have antibodies and protected from a second attack of infection or future wave of this pandemic or not. Therefore, we will carry out a longitudinal study of immunity in recovered patients to assess SARS-Cov2 patients' risk for future reinfection.

assessment of risk factor of covid 19 in haematological patients assessment of characteristics of covid 19 in haematological patients

This protocol focuses on the seroprevalence in primary care health care providers (PHCPs) in Belgium. PHCPs manage the vast majority of COVID-19 and other patients and therefore are essential to organize health care efficiently. Currently however, evidence is lacking on how many PHCPs get infected or diseased in Belgium, the rate at which this happens, their clinical spectrum, their risk factors, the effectiveness of the measures to prevent this from happening and the accuracy of the immunological serology-based point-of-care test in a primary care setting. This study will be set up as a prospective cohort study. All Belgian GPs in clinical practice will be invited to register online for participation in this national epidemiological study and will be asked to invite the other PHCPs in their practice to do the same. A model and demography-informed sample of registered GPs and other PHCPs will be selected. These participants will be asked at each testing point to perform a capillary blood sample antibody point of care test (OrientGene®) and complete an online questionnaire. All data analysis will be performed and reported after each relevant testing period and at the end of the study.