View clinical trials related to Covid19.
Filter by:The primary aim of this study is to evaluate the effect of physical rehabilitation performed in intensive care unit on the range of joint motions and muscle strength of survivors following discharge from intensive care unit in patients with COVID-19. Secondary outcome is to assess the duration of mechanical ventilation, length of stay in intensive care unit and in hospital, and mortality rates during intensive care unit stay and health related quality of life following discharge in survivors. Until April 14 patients were provided all the intensive care managements except for rehabilitation and patients discharged before this time constituted the 'non-rehabilitation' group (n=17). Patients discharged after April 14 were provided rehabilitation in addition to usual intensive care unit care and constituted the study 'rehabilitation' group (n=18). Passive range of motion exercises to each joint and neuromuscular electrical stimulation to bilateral quadriceps and tibialis anterior muscles were applied 6 days/week in the 'rehabilitation' group during intensive care unit stay.
18 month study, funded by ESRC COVID-19 research fund. The aim is to explore and support the rapid shift from face-to-face to remote (telephone and video) conversations in primary care. There are three components: a study of clinical interactions and decision making (micro); four locality-based organisational case studies of new models of care (meso); abd a a study of how digital innovation can support NHS infrastructure and vice versa (macro).
In COVID-19 pandemic, it is of critical importance to identify a rapid and simple diagnostic method to be used in clinical settings to timely inform and refine strategies that can prevent, control, and stop the spread of SARS-CoV-2. The 2019-nCoV IgG/IgM Rapid Test Cassette (Whole Blood/Serum/Plasma) is a qualitative, membrane-based immunoassay for the detection of immunoglobulin G (IgG) and Immunoglobulin M (IgM) antibodies to SARS-CoV-2 in whole blood, serum or plasma specimen. Clinical specimens from patients who were suspected of being infected with 2019-nCoV will be used to evaluate the performance of the assay.
There is little information about the clinical characteristics and risk factors of Covid-19 in Latin American countries considering the ethnic differences and the high prevalence of obesity and cardiometabolic diseases. The aim of the study was to evaluate the association between laboratory tests and the risk of complications in SARS-CoV-2 infection and to determine their mortality risk factors in a sample of the Mexican population. A retrospective cross-sectional study of the routinely collected data was performed in the Hospital Regional de Alta Especialidad de Ixtapaluca (HRAEI), State of Mexico. Adult patients (aged ≥18 years) with positive RT-PCR for SARS-CoV-2 and oxygen support that were admitted between March 28 and May 5, 2020, were included
COVID19 is a worldwide pandemic. Hence SARS-CoV-2 is a novel virus; there is no specific medication against it. Like other countries of the world, Bangladesh is also struggling in the case of treatment of this disease. Besides antiviral drugs other existing drugs like Hydroxychloroquine, Chloroquine, and recently Ivermectin has been used for the treatment of mild to moderate cases of COVID19 disease. Till now Hydroxychloroquine has shown a good effect. Recently anti-parasitic drug Ivermectin was found highly effective in an in-vitro study against SARS-CoV-2. This study is aimed to evaluate the efficacy of Ivermectin and Hydroxychloroquine as a combination therapy with antibiotics (Doxycyclin and Azithromycin) and compare the recovery period of these two drugs applied as core monotherapy.
This is an open label pilot study designed to provide access to treatment with investigational convalescent plasma and assess the relationship between NAb titers in the investigational convalescent plasma compared to changes in NAb levels in the recipient in hospitalized patients with COVID-19.
This is a randomized, prospective, multicenter, open label clinical trial of convalescent plasma compared to best supportive care for treatment of patients with severe COVID-19. The aim of the study is to explore the therapeutic effect of convalescent plasma transfusions on the survival and course of disease of patients with severe COVID-19. Convalescent plasma will be collected from recovered COVID-19 patients. Patients with severe COVID-19 will be randomly assigned to two groups. Patients in the treatment group will receive covalescent plasma (250 - 325 ml) on days 1, 3 and 5. Patients in the control group will receive best supportive care. Clinical condition in all patients will be evaluated on day 14. In case of progressive COVID-19 on day 14 compared to baseline, patients in the control group may be switched to treatment with convalescent plasma on days 15, 17 and 19. Fifty-three patients will be included in each group. Data of each patient will be collected until discharge but nor longer than day 60.
The current COVID-19 pandemic has affected more than 3 million people worldwide across more than 200 countries. In the United Kingdom alone, at the end of April, there were almost 160,000 confirmed cases with more than 20,000 deaths. This has undoubtedly had significant physical and economical impact on the public. Healthcare workers are at high risk of developing life-threatening infectious diseases with increased exposure to patients' blood and bodily fluids. As such, health care workers arguably experience heightened anxiety and are predisposed to greater negative psycho-social impact from the current COVID-19 pandemic. The aim of this study is to evaluate the physical and psychological impact of COVID-19 on healthcare workers. This will be performed in two phases. In phase 1, investigators will collect information to evaluate the current psychiatric symptom profile (in particular, screening for anxiety or depression related symptoms), alcohol use, sleep-related complaints and overall well-being among healthcare workers who participate in this survey (with a focus on junior doctors). In addition the association of these mental health and behavioural parameters with the prevalence of stressful occasions, such as long-hours, unpredictability of work / redeployment, availability of personal protection equipment and concerns regarding family/relationship and self will be assessed. In phase 2, investigators will then reassess for the development or progression of psychiatric symptoms, use of alcohol and other substances, behavioural or interpersonal relationship changes as well as physical well-being at 6 weeks and 4- months. Physical well-being is assessed through the presence of suspected or confirmed COVID-19 infection and absence from work. Specifically, investigators will study the impact of variable provision of personal protection equipment (supply and training), extended working hours, and concern for well-being of family members, on work morale and anxiety levels. Another aim is also study the longer term mental health consequences of the current pandemic on health care workers.
Background: Till the moment of editing this paperwork, WHO announced that there is no specific drugs or vaccines for treatment or prophylaxis of COVID-19. Additionally during the global gradual unlocking of community restrictions, WHO warned form another wave of the disease during the next few months. So clinicians and radiologists during this second wave would face great challenges in differentiation between COVID-19 and other virulent influenza viruses, mainly H1N1. Objective: to establish comparative radiological study between COVID19 and H1N1 to find differentiating criteria that would help during their expected clinico-laboratory and radiological overlap in next Influenza season. Material and methods: Retrospective study was including 130 patients; 65 COVID-19 patients and 65 H1N1 patients. HRCT findings to be analyzed by three expert consultant radiologists.
A retrospective cohort study investigating clinical notes using Natural Language Processing in combination with structured data from the Electronic Health Record (EHR) to create a database for analytics to identify features associated with outcomes.