View clinical trials related to Covid19.
Filter by:The purpose of this study is to evaluate the safety of administration of plasma containing antibodies to the SARS-CoV-2 virus (i.e., convalescent plasma) and if it is able to prevent disease or lessen the severity of disease in individuals who are at high risk of developing COVID-19 due to a recent exposure. This study will also measure the level of anti-SARS-CoV-2 antibodies in patient's blood after the administration of the convalescent plasma.
This project will test the efficacy of fluoxetine to prevent serious consequences of COVID-19 infection, especially death. Becoming sick with COVID-19 virus or any other serious respiratory condition is not fun. However, the dramatic effects of the COVID-19 pandemic on human society stem from its significant mortality, not the number of individuals who become sick. This project aims to prevent serious outcomes such as hospitalization, respiratory failure and death during the time it takes to develop vaccinations and other strategies to prevent COVID-19 infectionPoor outcomes with COVID-19 infection such as hospitalization, respiratory failure, organ failure and death are associated with a dysfunctional exaggerated immune response, called a cytokine storm, that is triggered by Interleukin-6 expression (IL-6) and seems to occur around day 5 to 7 of symptoms. Fluoxetine has extraordinarily strong evidence in its action as a blocker of IL-6 and cytokine storms in both animal models of infection and in human illness such as rheumatoid arthritis and others. This action of fluoxetine is an entirely separate pathway than the serotonergic pathway that allows fluoxetine to act as an antidepressant. This pathway has been demonstrated in cell culture, in animal models, in human illness and by novel bioinformatics analyses of protein transcripts to be relatively unique for fluoxetine and appears to be a novel pathway. This project aims to inhibit the increase in IL-6 expression and thereby prevent the cytokine storm that causes poor outcomes. Patients who have tested positive or are presumptively positive for COVID-19 will be entered into the study and given the option to start the medication fluoxetine, which is demonstrated to prevent IL-6 surges in infectious and inflammatory conditions. Participants will be monitored daily for COVID-19 symptoms and weekly for side effects and tolerance of fluoxetine. A subset of patients will have blood drawn weekly and stored to monitor IL-6 and other cytokine levels at a later date. This project aims to reduce the serious outcomes of COVID-19 infection by preventing or inhibiting the cytokine storm associated with organ failure, respiratory failure and death.
The study is a prospective clinical cohort study of consecutive patients hospitalized at all hospitals of greater Copenhagen with a laboratory confirmed diagnosis of COVID-19. The investigators aim to examine if echocardiography - both conventional and advanced - can be used to predict which patients will develop acute respiratory distress syndrome (ARDS) or other short-term acute complications, especially focusing on cardiovascular outcomes. In addition, using a novel technique of lung ultrasound (LUS), The investigators aim to analyze specific LUS-findings, and associate them with short-term prognosis and development of ARDS and long-term cardiovascular morbidity and mortality. In all patients included, The investigators aim to examine long-term complications at timepoints: 2, 5 and 10 years of follow-up and examine if echocardiography - alone and in combination with biomarkers - can be used to detect early signs of cardiac complications and predict long-term risk of cardiovascular morbidity and mortality following COVID-19 infection
The investigators are conducting a national COVID-19 prevalence survey on a sample of 3,000 inhabitants that were randomly selected from the Slovenian population. The sample is representative in age, gender, and geographical distribution. The main objective is to assess how many people in Slovenia have COVID-19 in April/May 2020 and how many were infected with SARS-CoV-2 previously. The investigators are using a direct detection of SARS-CoV-2 RNA in nasopharyngeal samples with validated two-target PCR-based commercial assay. For a serological response to the etiological agent, IgG and IgA anti-SARS-CoV-2 antibodies are measured in plasma samples using a validated commercial assay.
Acute respiratory distress syndrome (ARDS) is a syndromic definition of an acute lung injury with alteration of biomechanics (lower respiratory system compliance) mostly associated with increased lesional edema. Increase in Pulmonary Vascular Permeability Index (PVPI) accompanied with accumulation of excess Extravascular Lung Water (EVLW) is the hallmark of ARDS. In routine clinical practice, the investigators measure the EVLW and PVPI in ARDS patients, as suggested by expert's recommendations, using a transpulmonary thermodilution (TPTD) technique. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a newly recognized illness that has spread rapidly throughout Wuhan (Hubei province) to other provinces in China and around the world. Most critically ill patients with SARS-CoV-2 will present the criteria for the definition of ARDS. However, many of these patients have a particular form of ARDS with severe hypoxemia often associated with near normal respiratory system compliance. This combination is almost never seen in severe ARDS. Thus other mechanisms (including probably vascular mechanisms), that are still poorly described, have to be involved in SARS-CoV-2. EVLW and PVPI have never been assessed in SARS-CoV-2 mechanically ventilated patients. The aim of this study is to evaluate these two parameters in order to best characterize and understand the mechanisms related to SARS-CoV-2. Based on observation of several cases in intensive care units (ICU), the investigators hypothesize that there are following different SARS-CoV-2 patterns: 1. Nearly normal compliance, low lung recruitability, normal EVLW and low PVPI. 2. Low compliance due to increased edema, high lung recruitability, high EVLW and high PVPI.
One of the main challenges of the health crisis caused by the COVID-19 epidemic is the availability of beds in intensive care units (ICUs) and, more importantly, the need for invasive mechanical ventilation (IVM) because the ICUs are currently reserved for intubated patients. The experiences of both China and Italy indicate that a certain number of COVID-19 patients will require mechanical ventilation. However, the limited number of resuscitation beds and ventilators requires strict use of these scarce resources. As a significant proportion about 5% to 10%, of patients initially admitted to hospital with COVID-19 will require ventilation, it is essential to anticipate their need for resuscitation to improve the rare resource of beds and ventilator shortages in intensive care units. The hypothesis of the study is that, in proven or suspected hospitalised and oxygen-requiring COVID-19 patients, an early predictive clinical score, calculated over the three first days of admission may allow for an earlier identification of patients who will require intubation and transfer to an intensive care unit for orotracheal intubation
In December 2019, a new viral disease called COVID-19 emerged. It is caused by the new corona virus SARS-CoV-2. It was initially described in the chinese city of Wuhan. In the following months, the disease developed into a pandemic, which is currently an immense international challenge. So far, there is little scientific evidence on risk stratification, especially on the prognostic value of biomarkers (laboratory-chemical, clinical and digital) with regard to clinical deterioration of patients with COVID-19. Further scientific studies are needed to establish optimal risk stratification and early detection of clinical deterioration. In this study, the investigators aim to observe patients with COVID-19 via SmartWatches on top of their clinical routine. The investigators aim to determine, whether the addition of SmartWatches enhances risk stratification, early detection of complications and prognostics in patients with COVID-19, who have cardiovascular diseases or receive medication with arrhythmogenic risk.
This is an open-label, non-randomized clinical trial study. The number of 40 COVID-19 patients with moderate severity will be admitted in progressive care units (PCUs) and intensive care units (ICUs) enrolled in the study. The sampling will be purposive and based on the same independent variables, including age, gender, past medical histories, and the situation of the patient at the admission day, and ventilator support. The patients will be allocated into two groups with different regimens. Group "A" (regimen A)will be defined as Favipiravir 1600 mg a first dose and 600 mg in 3 divided doses daily plus 400 mg in 2 divided doses of Hydroxychloroquine every day. The group "B" (regimen B) will be contained 400 mg of Lopinavir/Ritonavirin 2 divided doses plus the first dose (400 mg) of Hydroxychloroquine. Hydroxychloroquine will not be used for adverse drug reactions. The regimen remained at least 7 up to 10 days. Data will be analyzed using statistical package for social sciences (SPSS) version 18 (SPSS Inc. Chicago, IL, USA) for windows. The variables will be compared using independent and paired T-test for normally distributed variables and Wilcoxon, Chi-square for non-normal distributed variables. The Kaplan Meier test will be used for survival analysis and the one-sample Kolmogorov-Smirnov test for the evaluation of distributions.
The current COVID-19 pandemic has caused delays in initial or follow-up encounters between surgical patients and physicians. While this delay allows for resource allocation to those most severely affected by the pandemic, surgeons are faced with potential important delays in diagnosis and the expanding backlog of elective cases and initial evaluations. This project will assess surgeon and patient telemedicine perspectives. Pre-pandemic views on telemedicine among a cohort of surgeons will be obtained and compared to views at 3 months from the peak of the pandemic. Patients will be surveyed following telemedicine appointments with an anonymous questionnaire to learn about patient receptiveness to telemedicine. Barriers to implementation will be addressed throughout the duration of the study.
OSCAR (Otilimab in Severe COVID-19 Related Disease) is a multi-center, double-blind, randomized, placebo-controlled trial to assess the efficacy and safety of otilimab for the treatment of severe pulmonary COVID-19 related disease. The study is being conducted in 2 parts (Part 1 and Part 2). Otilimab is a human monoclonal anti-granulocyte macrophage colony stimulating factor (GM-CSF) antibody that has not previously been tested in participants with severe pulmonary COVID-19 related disease in Part 1. The aim of this study is to evaluate the benefit-risk of a single infusion of otilimab in the treatment of hospitalized participants with severe COVID-19 related pulmonary disease with new onset hypoxia requiring significant oxygen support or requiring early invasive mechanical ventilation (less than or equal to [<=] 48 hours before dosing). Participants will be randomized to receive a single intravenous (IV) infusion of otilimab or placebo, in addition to standard of care.