View clinical trials related to Covid19.
Filter by:The recent COVID-19 pandemic has affected many aspects of individuals social life and its negative consequences on Canadian public health go far beyond the direct overload of the hospital care system. Self-isolation and financial uncertainty can significantly deteriorate individuals' mental health, which is only going to aggravate with prolonged physical distancing strategies. Adding to this is the personal and public trauma of lost lives and soon there will be an unprecedented epidemic of mental health problems with crushing effects on the public health sector and economy. To meet this huge new demand for an already strained health system, there is a need for innovative new approaches that significantly expand the capacity of care delivery. While it may not be possible in the short term to increase the number of mental healthcare providers or the number of hours they work, improving their time spent efficiently might be the solution. Virtual care and online delivery of psychotherapy, shown to be clinically effective, efficient and cost-effective, might be the perfect solution to address the high demand faced now. The investigators aim to establish the first academic online psychotherapy clinic to manage mental health problems secondary to COVID-19. The goal is to evaluate the feasibility and efficacy of treating COVID-19 related mental health issues in this clinic, offering a 10-week, diagnosis-specific, online psychotherapy program. The investigators will use the Online Psychotherapy Tool (OPTT), a secure cloud-based digital mental health platform, developed by the PI, Dr. Alavi. Potentially, this method of care delivery could increase care capacity by four-folds. The findings from this project have the potential to influence clinical practice and policy and increase accessibility to care during COVID-19 pandemic, without sacrificing the quality of care.
Descriptive report of the Northwell CROWN program for ambulatory treatment of COVID-19 (SARS-CoV-2) patients with moderate to high risk features
The primary aim of this research proposal is to use multimodal metrics (e.g., clinical data and advanced neuroimaging) in the early (i.e., acute hospitalization) phase of recovery from COVID-19-related disorders of consciousness to predict outcome at 3, 6, and 12 months post-hospitalization. We aim to construct an algorithm that synthesizes the results of these metrics to help predict recovery.
Randomized, Parallel Group, Active Controlled Trial
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.
Rationale: SARS-CoV2 viral infection is spreading rapidly throughout the world and in India the epidemic poses a major threat to the public health system. Elderly individuals, especially those with diabetes, hypertension, other chronic diseases are at high risk of mortality. Strategies to protect these individuals are desperately needed to safeguard continuous patient care. Bacille Calmette-Guérin (BCG) is a vaccine against tuberculosis, with protective non-specific effects against other respiratory tract infections in in-vitro and in-vivo studies, and reported significant reductions in morbidity and mortality. Based on the capacity of BCG to reduce the incidence of respiratory tract infections in children and adults, to exert antiviral effects in experimental models; and to reduce viremia in an experimental human model of viral infection, the hypothesis is that BCG vaccination will partially protect against mortality in high-risk, elderly individuals. Primary Objective: To evaluate the effectiveness of BCG vaccination in preventing morbidity and mortality due to COVID-19 in elderly individuals aged between 60 to 80 years living in COVID-19 hotspots in India. Secondary objectives: 1. To evaluate the effectiveness of BCG vaccination in terms of 1. reducing the cumulative incidence of hospital admission and Intensive Care admission 2. reducing the incidence of other respiratory febrile illness 2. To determine the innate and adaptive immune responses, IgM, IgG and IgA antibody titers generated by BCG vaccination (both total and SARS-Cov2 specific) in a subset of individuals. 3. To measure biomarkers induced by BCG vaccination as correlates of risk/protection against SARS-Cov2 in a subset of individuals Method and Analysis: Study design: Intervention study Study population: Elderly 60 - 80 years of age residing in designated hotspots for SARS-Cov2 infection Study Intervention: One dose of 0.1ml BCG vaccine, given intradermally. Elderly individuals not vaccinated from the same hotspot area or from neighbouring hotspot wards areas will be considered as the controls. Study sites: Chennai, Mumbai, Ahmedabad, Bhopal, Jodhpur and New Delhi. Study Sample size: 1450 individuals between 60-80 years of age will receive BCG vaccination while 725 individuals will be controls without vaccination Study duration: 6 months/participant. Enrolment at each site will be over: 4 months. Each participant will be followed for 6 months post vaccination. Primary Outcome Measures: During the study period (6-months), Proportion of individuals receiving the BCG vaccination who are asymptomatic but become PCR-positive or seroconvert during the 6-month of study period. Proportion of patients with development of COVID-19 disease (either PCR-positive or seroconvert with symptoms) during the study period. Proportion of patients with Severe COVID-19 disease and death due to Covid-19 disease
COVID-19 is considered an ongoing international global health problem which already caused 12 million confirmed cases. No specific effective treatment has been identified so far, and available supportive therapies are intended just to severe patients. Asymptomatic and mildly symptomatic patients remain a transmission reservoir, with possible evolution to the most severe disease form, without a clear treatment indication. Lactoferrin (Lf) is a multifunctional glycoprotein, belonging to transferrin family, secreted by exocrine glands and neutrophils and present in all human secretion. The pleiotropic activity of Lf is mainly based on its four different functions: chelate two ferric iron per molecule, interact with anionic molecules, enter inside nucleus and modulate iron homeostasis. The ability to chelate two ferric ions per molecule is associated to the inhibition of reactive oxygen species formation as well as this sequestration of iron, pivotal for bacterial and viral replication, is at the basis of its antibacterial and antiviral activity. Moreover, Lf exerts its antiviral activity against the majority of the tested viruses by binding to heparan sulphate, while against few viruses by interacting with surface components of viral particles. The capability of Lf to exert antiviral activity, by binding to host cells or viral particles or both, strengthens the idea that this glycoprotein is "an important brick in the mucosal wall, effective against viral attacks". Lf was able to block the binding of the spike protein to host cells, indicating that Lf exerted its inhibitory function at the viral attachment stage. The current accepted model suggests that Lf could block viral entry by interacting with heparan sulfate proteoglycans (HSPGs), which mediate the transport of extracellular virus particles from the low affinity anchoring sites to the high affinity specific entry as ACE-2. Investigators performed a prospective, interventional pilot study to assess the efficacy of liposomal lactoferrin in COVID-19 patients with mild-to moderate disease and in COVID-19 asymptomatic patients. Secondary objectives evaluated the safety and tolerability of liposomal lactoferrin for oral and intra-nasal use.
This study is a multi-center, randomized, double-blind, parallel, placebo-controlled, phase Ⅱ clinical trial to evaluate efficacy and safety of Pyramax in mild to moderate COVID-19 patients.
The objective of this randomized clinical trial is to test whether administration of live attenuated MMR vaccine (measles mumps rubella; Merck) to eligible adults at highest risk for contracting COVID-19 (healthcare workers, first responders), can induce non-specific trained innate immune leukocytes that can prevent/dampen pathological inflammation and sepsis associated with COVID-19-infection, if exposed.