View clinical trials related to Covid19.
Filter by:The first person-to-person Coronavirus disease (COVID-19) transmission in Italy was reported on Feb 21st, 2020, causing one of the most massive outbreak in Europe so far that stopped immediately all elective surgical procedures. Bariatric surgery represents the most effective treatment to obtain an important, long-term weight loss and comorbidities' resolution, including respiratory disorders. A sensitive decrease of epidemic has been observed lately and a gradual and progressive stop of the lockdown (phase 2-3) was planned, when the virus is supposed to be under control and protocols are guiding the restart of the elective bariatric surgery. Several questions are currently open: Laparoscopic bariatric surgery is safe in the phase 2-3? What's the expected complications rate? The actual hospital protocols are effective to minimize the risk of postoperative COVID-19 infection? Aim: to analyse results of bariatric surgery during phase 2-3 COVID-19 pandemic in Italy. Primary end point: 30 days COVID-19 infection, mortality and complications. Secondary end points: readmission rate 30 days, reoperations for any reason related to surgery. Study design: prospective multicenter observational. Setting: Italian National Health Service 8 high-volume bariatric centres. Enrollment criteria: No previous Covid-19 infection; Primary, standard IFSO approved bariatric procedures; No concomitant procedure; No previous major abdominal surgery; >18<60 years old; Compensated comorbidities; Official SICOB's surgical informed consent given, including COVID-19 addendum; Adherence to very restrictive protocols regarding: hospital admission, management of in-hospital patients and after discharge. Follow-up: scheduled outpatient visit 30th postoperative day. Data evaluation: all the cases performed during July/December 2020 will be collected in a prospective database. Patients operated during the period July/December 2019 in the same centers will be considered comparative group (control). Expected results: Transparent information to the patients, and the introduction of the COVID-19 protocol concerning patients and health-professionals protection, should guarantee a safe restart of bariatric surgery in Italy. The network of 8 high-volume centers sharing information and protocols in this "unexplored" period will be a guarantee for patients' safety. Bariatric surgery should induce a postoperative amelioration of the comorbidities reducing the risks in case of a second outbreak.
To detect microbial infection and AMR associated with COVID 19 infection. To correlate risk factors of COVID 19 patients with microbial infections and their effects on disease.
This is a phase 1 study in which healthy adult volunteers will receive BRII-198 or placebo and will be assessed for safety, tolerability, and pharmacokinetics.
This is a phase 1 study in which healthy adult volunteers will receive BRII-196 or placebo and will be assessed for safety, tolerability, and pharmacokinetics.
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.
Tocilizumab is an effective treatment for severe coronavirus disease 2019 (Covid-19) pneumonia and related inflammation. Given limited global supplies, clarification of the optimal tocilizumab dose is critical. We conducted an open-label, randomized, controlled trial evaluating two different dose levels of tocilizumab in Covid-19 (40mg and 120mg). Randomization was stratified on remdesivir and corticosteroid at enrollment. The primary outcome was the time to recovery. The key secondary outcome was 28-day mortality.
In the ER of National Taiwan University Hospital, the critical patients are treated (including tracheal intubation and cardiopulmonary resuscitation) in either resuscitation area or negative pressure isolation rooms based on the past history and present illness. During COVID-19 epidemic, whether sequential changes in environmental and personal protective equipment would change the difference of treatment efficacy and patient safety remains unclear. Whether treating patients in resuscitation area or negative pressure isolation room would cause different physical and psychological stress of medical staff and environmental contamination is also unknown. This study aims to conduct a prospective sequential allocation clinical trial to investigate the success rate, patient safety, physical and psychological stress of medical staff, and the risk of environmental contamination of tracheal intubation and cardiopulmonary resuscitation between the resuscitation area and negative pressure isolation room. The results of the study may be used to improve the protocol and protective policy in treating critical patients during an epidemic.
COVID-19 is an infectious disease caused by a newly discovered Coronavirus which was first identified in Wuhan, China in December 2019. Then the novel coronavirus outbreak was described and announced as a pandemic by World Health Organization (WHO) on March 11, 2020. Reverse transcription-polymerase chain reaction (RT-PCR) is currently the gold standard test for diagnosis of COVID-19. Nevertheless, due to its high false-negative rates (%10-50), diagnosis and treatment decisions do not depend on RT-PCR alone. Clinical presentation of patient and radiological findings are also important. However, neither clinical presentation nor computed tomography (CT) findings are specific for COVID-19. As a consequence of these challenges, the diagnosis of the disease and the protection of the community health become more difficult. The investigators of this study hypothesized that deep learning-based decision support system may help for definitive diagnosis of COVID-19. The aim is to develop a deep learning-based decision support system algorithm based on clinical presentation of patient, laboratory and CT findings and RT-PCR data. Previously, deep learning algorithms with the use of widely known deep neural network architectures such as Inception, UNet, ResNet were developed. However all of these studies were based on CT findings. There are not any deep learning study in literature combining the clinical, radiological, and laboratory findings of patients. The project is based on the available data of COVID-19 patients that will be obtained from the Ministry of Health. Then the data will be evaluated for relevance and reliability and labeled for the training of machine. Following the anonymization of data, data will be processed according to the predetermined inclusion-exclusion criteria. Thorax CT data will be labeled as typical / indeterminate / atypical / negative for COVID-19 pneumonia. Also, CT images of patients with known non-COVID-19 diseases will be labeled for the training of machine. Then, fever, lymphocyte count, neutrophil to lymphocyte ratio, contact information, RT-PCR findings will be labeled. Subsequently, the patients will be labeled and the machine will be trained with deep learning method with the help of this grouped and labeled data. Following the training phase, the algorithm will be tested and if the machine reaches the target specificity and sensitivity, the prototype will be tested. And then, the prototype will be embedded into the hospital software system. This software and algorithm will serve as an early warning system for clinicians and provide a better diagnostic rate especially with decreasing false-negative results. The effects of a pandemic cannot be measured by only the number of people diagnosed and isolated, or treatment provided. A pandemic affects not only community health but also individuals' psychological status, education, teaching methods, working models, daily lifestyles, producer/consumer behaviors, supply/demand balance; in other words every single area of life. On top of that, a pandemic causes long-term damages hard to reverse. The software will increase the diagnostic success rates, help to control the pandemic and minimize the collateral damages mentioned above. The investigators believe that, the product that will be produced at the end of this project will be of great benefit in controlling the secondary wave of COVID-19 expected to occur.
Since the outbreak of coronavirus disease - COVID-19 pandemic, most attention has focused on mode of transmission, clinical picture of the disease, treatment and prevention. In the coming weeks and months emphasis will gradually involve the post- acute care of COVID-19 survivors. It is anticipated that COVID-19 may have major impact on physical, cognitive, mental, social health status even in patients with mild disease. Moreover, pulmonary, radiologic, laboratory, sleep issues remain to be addressed
Coronavirus disease 2019 (COVID-19) rapidly spread across China and throughout the world, causing hundreds of thousands died. Studies had shown that "cytokine storms" and subsequent multiple organ dysfunction (MODS) are important causes for disease progression and death in patients with COVID-19. Similar to SARS-CoV infection, SARS-CoV-2 would infect humans via binding of S-protein to angiotensin-converting enzyme 2 (ACE2), a host cell receptor, and the S protein is activated and cleaved by cellular transmembrane serine proteases, allowing the virus to release fusion peptides for membrane fusion. In addition to the lungs, ACE2 is also highly expressed in the esophagus, small intestine and colon, suggesting that the gut might also be an important target organ for SARS-CoV-2. About 8-16% of severe pneumonia cases confirmed with SARS-CoV-2 infection developed gastrointestinal symptoms such as abdominal pain, vomiting, and diarrhea. Moreover, the stool of patient with COVID-19 also positive by real-time reverse-transcriptase-polymerase-chain-reaction (rRT-PCR) assay. Furthermore, elevated faecal calprotectin was observed in patients with COVID-19 suggested an inflammatory response in the gut, which was significantly correlated with IL-6. For severe and critical cases, control "cytokine storms" and maintain intestinal microenvironment balance have been included into the Diagnosis and Treatment Guideline of patients with COVID-19 (Edition 7). Berberine is a quaternary ammonium alkaloid isolated from rhizoma coptidis. It is often used in treatment of infectious diarrhea by bacteriostasis and inhibition of intestinal gland secretion. Berberine has also been found to have a role in intestinal immune regulation, inhibiting both AP-1 and NF- B, the key factors in cell signal transduction, and reducing the inflammatory response. Investigators conducted a prospective randomized controlled clinical trial to investigate the effects of berberine on intestinal function, serum concentrations of the inflammatory biomarkers, and organ function in severe patients with SARS-CoV-2 infection.