Active clinical trials for "COVID-19"

COVID-19 vaccinations are predicted to be a huge success in pandemic control. However, the majority of the studies were conducted on healthy individuals, and the efficiency of COVID-19 vaccination in post-transplant patients is uncertain. In the setting of HSCT, the extreme immunosuppression caused by the conditioning regimen and the graft versus host disease (GvHD) preventive regimen clearly has an impact on the efficacy and immunogenicity of the COVID-19 vaccine. Given the importance of eliciting early SARS-Cov-2 protective immunity in patients who are undergoing Allo-HSCT and the EBMT recommendation to endorse vaccination as early as 3 months after allo-HCT [7], we conduct this prospective study to investigate the safety and immunogenicity of three doses Pastucovac (an RBD-based SARS-Cov-2 vaccine) at the early post-transplant period in adult Iranian patients who are undergoing Allo-HSCT. We also want to see whether there are any possible predictors, such as the effect of clinical characteristics and lymphocyte subpopulations at the time of vaccination on the serologic response following immunization. The findings of this study will serve to guide future COVID-19 vaccination recommendations in this population, such as the optimal starting time, interval time, and so on.

This article describes a case of successful treatment of a 59-year-old man with sepsis as a result of periprosthetic infection against the background of severe SARS-CoV-2-19, who was hospitalized for 59 days, 57 of which were in the intensive care unit. Vibroacoustic pulmonary therapy, the concept of noninvasive ventilation, syndrome therapy, combination antibiotic therapy taking into account the pathogen and antibiotic sensitivity were used in the treatment.

Psychological support may be needed to help patients in the face of emotional disturbances that may be associated with the outbreak and to help them accomplish their fear and anxiety. Due to the increasing fear of COVID-19 transmission during the pandemic, patients may develop treatment avoidance behavior in dental practices. If the fear and anxiety levels of the patients can be determined, it may be easy to offer special approaches to them.

This study involves conducting a telephonic or in person survey regarding parental perception and attitudes about vaccinating the respective "technology dependent" child with the COVID 19 vaccination. "Technology dependent" includes tracheostomy dependence, artificial ventilator dependence and non invasive mechanical ventilation dependence. This population is vulnerable since most patients have underlying lung disease, chronic respiratory failure and require respiratory equipment to assist with breathing. "Technology dependent" patients are particularly vulnerable to respiratory infections and are considered high risk for developing severe COVID 19 illness. Despite this population's high risk for morbidity and mortality from respiratory viral infections, the investigator hypothesize that 50% of the parents are still vaccine hesitant.

An observational cohort study of patients discharged from the ICU following admission with COVID19 infection, looking at their medical wellbeing 6 months after discharge from the ICU.

To evaluate the post-marketing immunogenicity, safety and antibody persistence of the third dose (booster) of Covid-19 vaccine in patients aged 60 years or older with hypertension and/or diabetes.

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.

The study team will conduct a feasibility study to develop and test out procedures for improved triage and COVID-19 testing in dental practices to increase safety and perceptions of the safety of Dental Health Care Workers (DHCW) and their patients. DHCWs in offices with Practice-Based Regional Network (PBRN) members and their patients will be recruited to participate in one of two protocols. The first, point-of-care (POC), will test out procedures for point-of-care SARS-CoV-2 antigen testing in the dental office along with enhanced triage using pulse oximeters. The second, laboratory (LAB), will test out procedures for a saliva-based laboratory SARS-CoV-2 viral test along with enhanced triage. The feasibility of implementing COVID-related testing and enhanced triage procedures in the dental setting will provide preliminary data to inform a larger network-wide study grant application.

The Coronavirus Disease 2019 (COVID-19) pandemic has claimed over 5 million lives globally. Fortunately, a substantial and growing number of SARS-CoV-2 vaccines with very high efficacy have been developed, manufactured, and rapidly approved. Novel mRNA vaccines such as the BNT162b2 (Pfizer-BioNTech) and mRNA-1273 (Moderna) have reported a stunning >94% efficacy against COVID-19. However, global access has not been equitable, with many low- and middle-income countries having no vaccine access or access under emergency use mainly to traditional inactivated SARS-CoV2-2 vaccines such as BBIBP-CorV (Sinopharm Beijing), CoronaVac (Sinovac) and BBV152 (Bharat Biotech). Emerging studies have shown that lower concentrations of neutralizing antibodies (Nab) are attained after CoronaVac than after an mRNA-based vaccine in healthy individuals. This difference seems to be more pronounced in immunocompromised patients who are at higher risk of severe COVID-19 and death from COVID-19. As such, several countries including the United States, Israel and Chile have recommended a third vaccine dose for high-risk populations. However, it is not currently known which is the best vaccine combination regarding immunogenicity, particularly in these vulnerable patients. This observational study will explore the humoral and cellular response to a SARS-CoV-2 BNT162b2 vaccine booster in solid organ transplant patients who received two previous doses of the inactivated Coronavac or two doses of BNT162b2 vaccines.

Vaccination against coronavirus disease 19 (COVID-19) is an essential primary prevention tool to limit the health and economic effects of the pandemic. Objectives: To determine the variation in the levels of Immunoglobulin G (IgG) antibodies in health workers who received a COVID-19 vaccine.