View clinical trials related to Covid19.
Filter by:The main objective of this study is to evaluate the incidence of post-COVID morbidity and characterize the complications profile in patients who participated in the APLICOV-PC study. APLICOV-PC study was a multicenter, randomized, proof-of-concept clinical trial to assess the safety profile of 3 different dose levels of plitidepsin (1,5 mg, 2,0 mg and 2,5 mg) administered three consecutive days, in adult patients with confirmed diagnosis of COVID-19 who require hospital admission.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes a highly contagious infection with the highest viral load in the upper respiratory secretions. Despite using personal protective equipment, SARS-CoV-2 contamination to the healthcare personnel is possible during the airway management of infected patients. Direct laryngoscopy remains as the most common method for endotracheal intubation. Our study aimed to compare the use of video laryngoscopy with direct laryngoscopy for tracheal intubation in adult patients receiving general anesthesia for elective surgery during the COVID-19 pandemic.
The evolution of Coronavirus disease 2019 (COVID-19) pandemic makes it more necessary the intervention of Primary Health Care Physiotherapy Units in patients with respiratory and/or functional sequelae after suffering from SARS-CoV-2 (acute respiratory sindrome by coronavirus) virus infection. Since some months ago, Primary Health Care use telerehabilitation tools to connect patients and health care professions while maintaining social distancing and restrictions. Tele-physiotherapy is a field of physiotherapy which has the advantage of providing physical therapy interventions to patients' complications after COVID-19 by using a videoconferencing method. The aim of this study is to evaluate the effectiveness of a multimodal Physical Therapy telerehabilitation program in persistent post COVID-19 symptoms in Primary Health Care.
The purpose of this study to evaluate the safety and immunogenicity of a 2-dose regimen of 9vHPV vaccine, where the first dose is administered concomitantly with a first dose of a 2-dose regimen of mRNA-1273 vaccine versus nonconcomitant administration of 9vHPV and mRNA-1273 vaccines in boys and girls 9 to 11 years of age.
Since the beginning of the COVID-19 pandemic, 195 million people have been infected and 4.2 million have died from the disease or its side-effects. Physicians, healthcare scientists and medical staff continuously try to deal with overloaded hospital admissions, while in parallel, they try to identify meaningful correlations between the severity of infected patients with their symptoms, comorbidities and biomarkers. Artificial Intelligence (AI) and Machine Learning (ML) have been used recently in many areas related to COVID-19 healthcare. The main goal is to manage effectively the wide variety of issues related to COVID-19 and its consequences. The existing applications of ML to COVID-19 healthcare are based on supervised classification which require a labeled training dataset, serving as reference point for learning, as well as predefined classes. However, the existing knowledge about COVID-19 and its consequences is still not solid and the points of common agreement among different scientific communities are still unclear. Therefore, this study aimed to follow an unsupervised clustering approach, where prior knowledge is not required (tabula rasa). More specifically, 268 hospitalized patients at the First Propaedeutic Department of Internal Medicine of AHEPA University Hospital of Thessaloniki were assessed in terms of 40 clinical variables (numerical and categorical), leading to a high-dimensionality dataset. Dimensionality reduction was performed by applying Principal Component Analysis (PCA) on the numerical part of the dataset and Multiple Correspondence Analysis (MCA) on the categorical part of the dataset. Then, the Bayesian Information Criterion(BIC) was applied to Gaussian Mixture Models (GMM) in order to identify the optimal number of clusters, under which, the best grouping of patients occurs. The proposed methodology identified 4 clusters of patients with similar clinical characteristics. The analysis revealed a cluster of asymptomatic patients that resulted in death at a rate of 23.8%. This striking result forces us to reconsider the relationship between the severity of COVID-19 clinical symptoms and patient's mortality.
South Africa recorded it's first coronavirus disease 2019 (COVID19) case on March 5, 2020. In response to the COVID19 outbreak World Health Organisation recommendations, South Africa implemented non-pharmaceutical recommendations. The major risk mitigation factors recommended by World Health Organisation and others - physical distancing and hygiene - are extremely difficult to implement in much of Africa. The investigators will conduct a randomised controlled trial to investigate the effect of an infection mitigation intervention to assess the effect on household transmission of severe acute respiratory syndrome (SARS) coronavirus (CoV) 2 in household settings with an index patient diagnosed SARS-CoV-2 positive.
Since the start of the COVID-19 pandemic in Zambia, multiple information, education and communication (IEC) materials and strategies have been disseminated by national risk communication and community engagement (RCCE) committees to create awareness on the facts of the novel coronavirus, prevention measures and care-seeking options. To complement these efforts in Zambia, CIDRZ in collaboration with the London School of Hygiene and Tropical Medicine (LSHTM) are implementing an internationally produced communication campaign that promotes the uptake of four key behaviours to reduce the transmission of COVID-19, namely, hand washing with soap, mask wearing, social distancing and surface cleaning. The campaign presents these behaviours as a 'password' that should be enacted to get lives back to normal and was created by the Hygiene Behaviour Change Coalition (HBCC). The idea of a password has been used to symbolize access into a world where protective habits are practiced in order to get back a world that is corona free. The password in this case is Hands-Face-Space-Surface. This campaign is a mass media campaign that will be delivered through TV, radio and billboards. This study aims to evaluate the process and effect of the HBCC campaign on the uptake of COVID-19 preventative behaviours among people living in Lusaka and Copperbelt Provinces of Zambia.
Background: ISHLT and AASLD guidelines recommend SARS-CoV2 vaccination in all individuals undergoing lung and liver transplantation, but there are currently scarce data on the safety and efficacy of these vaccines in this population. In Italy, immunocompromised patients have received the indication to be administered mRNA vaccines only. Primary outcome: safety and reactogenicity Secondary outcomes: immunogenicity and prevention of COVID19 Visits and timepoints: - T0: before first dose administration: visit and venous sampling to assess baseline COVID19 serum status - Telephone calls to assess safety and reactogenicity 1 and 2 days after each dose of vaccination - T21 or 28 (based on vaccine; mRNA BNT162b2 and mRNA-1273, respectively): visit, venous sampling to assess immunogenicity - Follow up visits after 60, 120, 180 and 365 from T0: visit and venous sampling to assess immunogenicity
The best way to titrate positive end-expiratory pressure (PEEP) in patients suffering from acute respiratory distress syndrome is still matter of debate. Electrical impedance tomography (EIT) in a non-invasive technique that could guide PEEP setting based on an optimized ventilation homogeneity.
The study was conducted experimentally to evaluate the effect of neurolinguistic programming on COVID-19 fear in kidney transplant patients.