View clinical trials related to Communicable Diseases.
Filter by:Coronavirus 2019 (COVID-19) is a respiratory tropism virus transmitted through droplets emitted into the environment of infected persons. The symptoms can be extremely varied and the course can range from spontaneous healing without sequelae to death. Currently, the diagnosis of certainty for resuscitation patients (by definition "severe") is based on searching for a fragment of virus genetic material within the epithelial cells of the respiratory tree, up and/or down, by PCR. It is to be expected that the epidemic peak will make it difficult (if not impossible) to respect the stereotypical path that is currently in place, due to the lack of space in the specific unit. This will require optimization of care pathways and use of the specific sectors. It is therefore necessary to define the simple criteria, available from the moment patients are admitted, to predict the result of the COVID-19 PCR.
An open access study that will define and collect digital measures of coughing in multiple populations and public spaces using various means of audio data collection.
The purpose of this study is to assess the efficacy of pidotimod as treatment in participants with recurrent respiratory tract infections.
This observational study will collect data from patients treated with siltuximab program for treatment of SARS-CoV-2 infection complicated with serious respiratory complications. This observational study will group the patients into two cohorts receiving siltuximab.. Outcome of patients will be compared to a cohort of patients receiving standard treatment without siltuximab. The patients will be divided into 2 cohorts. Those contained in Cohort A were treated after the use of continuous positive airways pressure (CPAP) or non-invasive ventilation (NIV). Patients in Cohort B were treated after intubation
The COVID-19 outbreak and spread throughout the world now constitutes a global public health emergency. Direct contact between doctors and patients in daily practice bears potential risk of Covid-19 infection, and telemedicine, or non-contact medicine, in this circumstance, offers an ideal solution. Remote controlling capsule endoscopy system for gastric examination was recently developed and applicated in clinical practice.
Coronavirus Disease 19 (COVID-19) represents an unprecedented challenge to the operations and population health management efforts of health care systems around the world. The "Pandemic Research Network (PRN): Duke Community Health Watch" study leverages technology, clinical research, epidemiology, telemedicine, and population health management capabilities to understand how to safely COVID-19. The target population is individuals in the Duke Health region as well as individuals beyond the Duke Health region who have flu-like symptoms, a viral test order for COVID-19, confirmed COVID-19, or concern for exposure to COVID-19. A subgroup of particular interest within the target population is health care workers (HCW) and families of HCW. Community members will enroll in the study electronically and for 28 days will be reminded via email or SMS to submit signs and symptoms related to COVID-19. Participants who report symptoms will be provided information about COVID-19 testing (if needed) and established mechanisms to seek care within Duke Health. Instructions for telemedicine and in-person visits, which is available publicly at https://www.dukehealth.org/covid-19-update, will be presented to participants. Participants who are unable to report symptoms independently may be contacted via telephone by Population Health Management Office (PHMO) or Clinical Events Classification (CEC) team members. Data collected through the "Pandemic Response Network (PRN): Duke Community Health Watch" study will be used for three objectives. - First, to characterize the epidemiological features of COVID-19. Specifically, we will have a high-risk subgroup of HCW and families of HCW that we enroll. - Second, to develop models that predict deterioration and the need for inpatient care, intensive care, and mechanical ventilation. - Third, to develop forecast models to estimate the volume of inpatient and outpatient resources needed to manage a COVID-19 population. The primary risk to study participants is loss of protected health information. To address this concern, all data will be stored in Duke's REDCap instance and the Duke Protected Analytics Compute Environment (PACE).
This study aims to optimize the dosing of cefazolin, ceftazidime, and ciprofloxacin for patients on high-flux hemodialysis. For each antibiotic 20 participants will be enrolled and three blood samples will be collected from each participant. Antibiotic levels will be measured in each blood sample. This data will be used to develop population-pharmacokinetic models for each antibiotic. Finally, Monte Carlo simulations will be used to develop evidence-based dosing recommendations.
The study aims to evaluate the prognostic value of alveolar and blood NETosis in patients under mechanical ventilation and treated for an acute low-respiratory tract infection. The main outcome is the occurrence of an acute respiratory distress syndrome (ARDS) according to the Berlin definition.
This is a retrospective case:control study examining the use of adjunctive bezlotoxumab to standard C. difficile infection (CDI) treatment compared to standard CDI treatment alone in patients with CDI seen in an academic medical center's specialty outpatient clinic.
Urinary Tract Infection (UTI) is the most common hospital acquired infection worldwide, and is most commonly associated with catheterisation of the bladder. Catheter associated urinary tract infection (CAUTI) causes increased hospital costs, increased length of stay and increased mortality. This burden of disease is, in part, mediated by a lack of diagnostic and monitoring modalities for CAUTI. Both traditional and novel UTI diagnostic tests are susceptible to false positives associated with bacterial colonisation, and correlate poorly with clinically meaningful symptomatic CAUTI. As such, the current standard of care is reliant on clinical monitoring, which is susceptible to diagnostic delays, over and under treatment. Imperial College London have developed a wireless biosensor for continuous monitoring of catheter-urine biochemistry. This project aims to validate this biosensor and demonstrate it's potential for preemptive CAUTI diagnosis through continuous urinary biochemical monitoring.