View clinical trials related to Covid19.
Filter by:COVID-19 infection has been widely spread since December 2019 and causing many comorbidities and fatalities. The most common clinical presentation of COVID-19 patients admitted to ICUs is respiratory failure , hypoxia and acute lung injury. While new therapies and vaccines are urgently being investigated, they may take an inordinate time to get to right people. Omega-3-oil has been shown to have less proinflammatory mediators that may have immunomodulating, anti-inflammatory and antiviral effect. Two main fatty acids in omega-3-oil including eicosapentaenoic acid and docosahexaenoic acid have shown benefit in patients with ARDS as well. So, the investigators proposed a randomized controlled study to evaluate the effectiveness of omega-3-oil supplementation 2 gm PO/NGT/OGT twice daily for 28 days or till discharge or till death in COVID-19 critically ill patients admitted to ICU who require oxygen support.
The management of COVID-19 patients in overwhelmed hospital facing the pandemic is a clinical challenge. The improvement of decision making may allow a better allocation of available resources and a better treatment of patients at higher risk. Chest CT has been widely adopted for COVID-19 pneumonia diagnosis. Several experiences documented the capability of Artificial Intelligence to improve and fasten COVID-19 pneumonia detection, mainly using chest X-ray. Aim of the present study was to develop and validate an Artificial Intelligence approach integrating clinical and imaging data (automatically extracted through the adoption of dedicated neural networks) for the creation of a cloud platform capable of performing automatic patients risk stratification. Such an approach could be used for triage of COVID-19 patients in the emergency department, with the aim to improve healthcare personnel decision-making and allocation of resources during health emergencies.
This project aims to monitor the side effects of COVID-19 vaccines worldwide actively. The primary objectives of the project include a) to estimate the prevalence of each local and systemic side effect of each COVID-19 vaccine among healthcare workers (HCW), old adults over +65 (OA), and schoolteachers (ST); b) to evaluate the potential demographic and medical risk factors for side effects frequency and intensity; c) to evaluate the long-term consequences of COVID-19 vaccines. The secondary objectives include a) to evaluate the relative safety of COVID-19 vaccines compared to each other; b) to evaluate the impact of palliative drugs used by the recently vaccinated individuals on their short-term side effects resolution.
This is a randomized controlled trial to evaluate the efficacy of ivermectin in reducing the risk of progression to severe disease and hospitalizations in COVID-19 patients.
This study inquires about the development of Telogen effluvium following the SARS-CoV-2 infection
It was aimed to evaluate the respiratory functions of patients who were given respiratory rehabilitation, bed positioning and early mobilization, and the time of leaving the hospital.
The unCOVer-AF prospective, multicenter registry aims at determining the natural history of atrial fibrillation (AF) via continuous cardiac rhythm monitoring in patients with a first arrhythmic episode during COVID-19 hospitalization.
SARS-CoV-2 targets endothelial cells via the angiotensin-converting enzyme 2 receptor. The specific impact of the resulting endothelial injury is currently unknown but may contribute to the pro-coagulant state classically described during Covid-19 disease and commonly associated with an exacerbated activation of the renin-angiotensin-aldosterone system.
An adaptive platform trial to compare effectiveness of different care models to prevent readmissions for patients hospitalized with sepsis or lower respiratory tract infection. The primary outcome is number of days spent at home within 90 days after hospital discharge.
The aim of this study is to use artificial intelligence in the form of machine learning analysing vital signs as well as symptoms of patients suffering from Covid19 to identify predictors of disease progression and severe course of disease.