View clinical trials related to SARS-CoV Infection.
Filter by:The purpose of this trial is to understand whether: 1. Metformin vs fluvoxamine vs ivermectin vs metformin+fluvoxamine vs metformin+ivermectin is superior to placebo in non-hospitalized adults with SARS-CoV-2 disease for preventing Covid-19 disease progression. 2. To understand if the active treatment arms are superior to placebo in improving viral load, serologic markers associated with Covid-19, and gut microbiome in non-hospitalized adults with SARS-CoV-2 infection. 3. To understand if any of the active treatment arms prevent long-covid syndrome, PASC (post-acute sequelae of SARS-CoV-2 infection).
The Investigators plan to study the innate and adaptive immune response, the inflammatory response, and associated complications such as complement activation and neurological damage in SARS-Cov-2 infected individuals. Patients with mild, moderate and severe COVID-19 disease will be enrolled.
Background. The current coronavirus disease (COVID-19) has a great impact worldwide. Healthcare workers play an essential role and are one of the most exposed groups.Information about the psychosocial impact on healthcare workers is limited. Methods. 3109 healthcare workers completed a national, internet-based, cross-sectional 45-item survey between 9 and 19 April 2020. The objective is to assess the psychological impact of the COVID-19 pandemic in Spanish healthcare workers. A Psychological Stress and Adaptation at work Score (PSAS) was defined combining four modified versions of validated psychological assessment tests (A) Healthcare Stressful Test, (B) Coping Strategies Inventory,(C) Font-Roja Questionnaire and (D) Trait Meta-Mood Scale.
ULSC-CV-01 is a clinical trial that comprises both Phase 1 and Phase 2a, which will be conducted sequentially. This trial will evaluate the safety and potential efficacy of allogeneic Umbilical Cord Lining Stem Cells (ULSC), which are a type of umbilical cord tissue derived mesenchymal stem cells (MSC), with intravenous (IV) administration in hospitalized patients with acute respiratory distress syndrome (ARDS) due to COVID-19.
Serological surveys measuring anti-severe acute respiratory syndrome coronavirus 2 (anti-SARS-CoV-2) antibodies in the population to assess the extent of the infection and the COVID-19 immunity of the population in French Guiana.
The use of nanomaterials in semi-facial respirators could decrease the permeability of particles and promote a biocidal effect compared to conventional respirators (N95) and, therefore, to enhance the filtering power, aiming to mitigate harmful effects of bacteria and viruses. Chitosan is a natural cationic polymer derived from chitin, with characteristics such as being biodegradable, biocompatible, non-toxic, and presenting antimicrobial activity. This polymer has virucidal activity in several types of viruses, including other coronaviruses, given the attractive factor of its cationic charge for negative charges. The effectiveness of a novel individual protection semi-facial respirator (called VESTA) will be investigated, compared to a conventional N95 respirator. The respirators will be tested in healthcare professionals working in hospital environments and the effectiveness will be attributed to the lower incidence rate of infection by the SARS-CoV-2, and to the ability to filter these viruses after use by healthcare professionals exposed to potentially contaminated environments. The study will be carried out in two stages: i) Randomized Controlled Trial with reduced sample to confirm the sample size calculation (pilot trial), and ii) Randomized Controlled Trial (RCT). The RCT will be conducted with healthcare professionals who have contact with environments/patients infected by SARS-CoV-2 in hospital sectors with greater vulnerability to infection (urgency, emergency and intensive care units). The RCT will be conducted initially with a group of sixty participants (n = 30 in each group) for initial investigation of the potential for efficacy with the use of the respirators (VESTA and conventional N95) in two sectors (emergency and ICU) in a reference Hospital for COVID-19. The RCT will consist of two parallel groups: (1) Experimental Group (GExp) that will use the novel respirator (VESTA) and (2) Control Group (CG) that will use the standard respirator (N95). Participants will be recruited from participating hospitals and will be accompanied by 21 days in approximately eight consecutive shifts (ranging from shifts lasting 6 to 12 hours each, followed by approximately 36 hours of rest). Participants will be assessed at baseline (T0), at the end of the 10th day (T1), and at the end of the 21st day (T2).
This is a registry-based cohort study of all adult patients (≥18 years) with confirmed or suspected SARS-CoV-2 infection. The main goal is to describe mortality incidence, demographic characteristics, coexisting conditions, treatments, outcomes among SARS-CoV2 infected patients. A secondary goal is to identify biological factors (OMICS - genomic, proteomic and metabolomics characterization) associated with severity conditions for these patients.
Corona Virus Disease (COVID-19), spread worldwide and has become an emergency of major international concern. In March 2020, the WHO declared the COVID-19 outbreak a global pandemic. Accurate and fast diagnosis is crucial in managing the pandemic. Current diagnostic approaches raise several difficulties: they are time-consuming, expensive, invasive, and most important lacking high sensitivity. The gold standard diagnostic test for COVID-19, reverse transcription polymerase chain reaction (RT-PCR), is highly dependent on adequate deep sampling of the swab in the naso- and oropharynx. A new diagnostic test that can correctly and rapidly identify infected patients and asymptomatic carriers is urgently required to prevent further virus transmission and thus reduce mortality rates. Aim: This proof-of-principle study aims to investigate if an electronic nose (Aeonose) can distinguish individuals with antibodies from individuals without antibodies against COVID-19 based on analysis of volatile organic compounds (VOCs). Methods: between April and July 2020, persons undergoing RT-PCR and a serology test for COVID-19 were recruited at Maastricht UMC+ for breath analysis. All participants had to breathe through the Aeonose for five consecutive minutes. The VOC pattern in their exhaled breath was then linked to the matching RT-PCR and serological test results.
Infection with SARS-CoV-2 causes Corona Virus Disease (COVID-19). The most standard diagnostic method is reverse transcription-polymerase chain reaction (RT-PCR) on a nasopharyngeal and/or an oropharyngeal swab. The high occurrence of false-negative results due to the non-presence of SARS-CoV-2 in the oropharyngeal environment renders this sampling method not ideal. Therefore, a new sampling device is desirable. This proof-of-principle study investigates the possibility to train machine-learning classifiers with an electronic nose (Aeonose) to differentiate between COVID-19 positive- and negative persons based on volatile organic compounds (VOCs) analysis. Methods: between April and June 2020, participants were invited for breath analysis when a swab for RT-PCR was collected. If the RT-PCR resulted negative, presence of SARS-CoV-2 specific antibodies was checked to confirm the negative result. All participants breathed through the Aeonose for five minutes. This device contains metal-oxide sensors that change in conductivity upon reaction with VOCs in exhaled breath. These conductivity changes are input data for machine-learning and used for pattern recognition. The result is a value between -1 and +1, indicating the infection probability.
The outbreak of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that started in late December 2019 in the Hubei province of China caused millions of cases worldwide in just a few months, and evolved into a real pandemic. However, only approximately 20% of SARS-CoV-2 infected patients required intensive on sub-intensice medical care and the remained experience mild or subclinical form of the disease that did not require hospital admission and a relatively high percentage (40 to 45%) remained asymptomatic. Understanding the occurrence of SARS-CoV-2-like infectious in a large non-hospitalized population, when the epidemic peak was occurring in Italy, is of paramount importance but data are scarce. The goal of this research project is to estimate the number of suspected cases of COVID-19 and to investigate the role of the potential factors associated with SARS-CoV-2 infection in a large Italian sample of respondents living in Italy during the lockdown (started in Italy on 9 March 2020). EPICOVID19 is an Italian countrywide self-administered cross-sectional web-based survey on adult volunteers launched on April 13, 2020. The on-line questionnaire has been developed starting from the available literature and implemented using an open source platform focusing on beahvioural and clinical features of participants.