View clinical trials related to Covid19.
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This study plans to learn more about the effects of a medicine called baricitinib on the progression of COVID-19 (coronavirus disease of 2019), the medical condition caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Baricitinib is FDA-approved for the treatment of rheumatoid arthritis, an autoimmune condition. This study intends to define the impact of baricitinib on the severity and progression of COVID-19. This drug might to lower the hyperinflammation caused by the virus, which would prevent damage to the lungs and possibly other organs. The study will recruit patients who have been diagnosed with COVID-19. The goal is to recruit 80 patients.
The purpose of this study is to assess the feasibility of delivering anti-SARS-CoV-2 convalescent plasma to hospitalized patients with severe or life-threatening COVID-19. Beyond supportive care, there are currently no proven treatment options for coronavirus disease (COVID-19), the infection caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Human convalescent plasma is an option for treatment of COVID-19 and could be rapidly available when there are sufficient numbers of people who have recovered and can donate high titer neutralizing immunoglobulin-containing plasma. Hypothesis: Collecting and administering convalescent plasma requires a level of logistical coordination that is not available in all centers. Objective: To establish feasibility for a hospital-based integrated system to collect and administer convalescent plasma to patients with severe or life-threatening COVID-19.
Specific Aims: 1. The investigators will prospectively evaluate and analyze changes in the appearance of the lungs and heart through serial acquisition of focused point-of-care ultrasound images in a cohort of patients with or under investigation for COVID-19. 2. The investigators will correlate changes noted in ultrasound with clinical course and diagnostic evaluation to ascertain whether changes on ultrasound could improve care through earlier diagnosis or identification of patients at high risk of disease progression.
Trial design: Prospective, multi-centre, randomised, pragmatic, double blind trial Methods: Participants: Adult (>18 years) within 24 hours of admission to intensive care unit with proven or suspected COVID-19 infection, whether or not mechanically ventilated. Exclusion criteria: symptoms of febrile disease for ≥1 week, treatment limitations in place or moribund patients, allergy or intolerance of any study treatment, incl. long QT syndromes, participation in another outcome-based interventional trial within last 30 days, patients taking Hydrochloroquine for other indication than COVID-19, pregnancy. Interventions: Patients will be randomised in 1:1:1 ratio to receive Hydrochloroquine 800mg orally in two doses followed by 400mg daily in two doses and Azithromycin 500 mg orally in one dose followed by 250 mg in one dose for a total of 5 days (HC-A group) or Hydrochloroquine+ placebo (HC group) or placebo + placebo (C-group) in addition to best standard of care, which may evolve during the trial period but will not differ between groups. Objective: To test the hypothesis that early administration of combination therapy slows disease progression and improves mechanical-ventilation free survival. Outcomes: Primary outcome: Composite percentage of patients alive and not on end-of-life pathway who are free of mechanical ventilation at day 14. Secondary outcomes: Composite percentage of patients alive and not on end-of-life pathway who are free of mechanical ventilation at day 14 in the subgroup of patients without the need of mechanical ventilation at baseline. ICU-LOS D28 and D 90 mortality (in hospital) Tertiary (exploratory) outcomes: Viral load at D7 of study enrolment (No of viral RNA copies/ml of blood), proportion of patients alive and rtPCR negative from nasal swab at D14, Difference of FiO2 requirement and respiratory system compliance between day 0 and 7. Randomization: In 1:1:1 ratio and stratified according to study centre and patients age (cut-off 70 years) Blinding (masking): Patients, treating clinicians, outcome assessors and data analyst will be blinded to study treatment allocation. Unblinded study pharmacist or research nurse will prepare investigational products.
Background: The COVID-19 outbreak has caused many changes to people s normal social patterns. The respiratory illness has been the major focus of public health efforts. But most experts also agree that government and public health mandates to slow the spread of the illness, such as social distancing, have a significant effect on people s mental health. Environmental stressors, such as constraints on activities, social contact, and access to resources, take a toll. Researchers want to learn how stressors related to COVID-19 affect mental health over time. Objective: To learn the relationship between stressors related to COVID-19 and self-rated measures of mental health symptoms and distress among a range of people. Eligibility: English-speaking adults ages 18 and older Design: This study will be conducted online. Participants will give their first and last name and email address. They will indicate if they have ever been in an NIH research study. They will get a username and password. Every 2 weeks for up to 6 months, participants will complete online study surveys. They will get email reminders. Some surveys will be repeated. At the end of the study, they will complete a set of end-of-study surveys. The surveys will ask about the following: Age, sex, race, and other sociodemographic data Mental and medical illness history and treatment Family medical history Mobility, self-care, and life activities Behaviors related to alcohol and substance use disorder Mental illness symptoms Psychological distress Stressors caused by the COVID-19 pandemic. Participants will get links to mental health resources, such as hotlines. They will also get guidance on steps to take to seek care or support. Study website: nimhcovidstudy.ctss.nih.gov
Our aim is to conduct one trial of personalized immunotherapy in patients with SARS-CoV-2 (COVID-19) associated with organ dysfunction and with laboratory findings of macrophage activation syndrome or immune dysregulation. These patients will be selected by the use of a panel of biomarkers and laboratory findings and they will be allocated to immunotherapy treatment according to their needs.
The COVID-19 pneumonia has grown to be a global public health emergency since patients were first detected in Wuhan, China, in December 2019, which spread quickly to worldwide and presented a serious threat to public health. It is mainly characterized by fever, dry cough, shortness of breath and breathing difficulties. Some patients may develop into rapid and deadly respiratory system injury with overwhelming inflammation in the lung. Currently, no specific drugs or vaccines are available to cure the patients with COVID-19 pneumonia. Hence, there is a large unmet need for a safe and effective treatment for COVID-19 pneumonia patients, especially the critically ill cases. The significant clinical outcome and well tolerance was observed by the adoptive transfer of allogenic MSCs. We proposed that the adoptive transfer therapy of MSCs might be an ideal choice to be used. We expect to provide new options for the treatment of critically ill COVID-19 pneumonia patients and contribute to improving the quality of life of critically ill patients.
This retrospective study aims to perform a medication risk stratification using drug claims data and to simulate the impact of the addition of various repurposed drugs on the Medication Risk Score (MRS) in elderly people enrolled in PACE organizations. Our clinical tool would enable to identify potential multi-drug interactions and potentially reduce the risk of adverse drug events (ADE) developing in elderly patients infected with COVID-19.
In view of the increasing cases of COVID-19 in India and the possibility of the exponential rise of the cases, this study has been designed to collect data of the healthcare workers of Max Hospital and the general population. Our objective is to identify individuals with flu-like symptoms in suspicion of COVID-19 and follow them weekly up to 8 weeks until the pandemic resolves. The data will be collected through an online questionnaire circulated via Emails or WhatsApp.