View clinical trials related to Communicable Diseases.
Filter by:Respiratory infections such as colds, flu and pneumonia affect millions of people around the world every year. Most cases are mild, but some people become very unwell. Influenza ('flu') is one of the most common causes of lung infection. Seasonal flu affects between 10% and 46% of the population each year and causes around 12 deaths in every 100,000 people infected. In addition, both influenza and coronaviruses have caused pandemics in recent years, leading to severe disease in many people. Although flu vaccines are available, these need to change every year to overcome rapid changes in the virus and are not completely protective. This study aims to find and develop predictive tests to better understand how and when flu-like illness progresses to more severe disease. This may help to decide which people need to be admitted to hospital, and how their treatment needs to be increased or decreased during infection. The aim is to recruit 100 patients admitted to hospital due to a respiratory infection. It is voluntary to take part and participants can choose to withdraw at any time. The study will involve some blood and nose samples. This will be done on Day 0, Day 2 and Discharge from hospital, and an out-patient follow-up visit on Day 28. The data will be used to develop novel diagnostic tools to assist in rational treatment decisions that will benefit both individual patients and resource allocation. It will also establish research preparedness for upcoming pandemics.
This is a prospective observational study using a mobile study platform (app) that is designed for use on Android phones. Study participants will provide baseline demographic and medical information and report symptoms of respiratory infection on a weekly basis using the app. Participants will also report use of prevention techniques on the weekly survey. Mobility data will be collected passively using the sensors on the participant's smartphone, if the participant has granted the proper device permissions. The overall goals of the study are to track spread of coronavirus-like illness (CLI), influenza-like illness (ILI) and non-specific respiratory illness (NSRI) on a near-real time basis and identify specific behaviors associated with an increased or decreased risk of developing these conditions.
One of the major causes of prosthetic joint failure is infection. Recently, coagulase-negative Staphylococci (CoNS) have been identified as emergent, nosocomial pathogens involved in subclinical prosthetic joint infections (PJIs). The diagnosis of PJIs mediated by CoNS is complex and demanding due to the absence of clear clinical signs derived from the host immune system response. In this scenario, the key to successful surgical treatment is the capability to differentiate between aseptic implant loosening and septic failure. Hence, the central hypothesis of this study is that proteomic analysis of the secretome of CoNS clinical isolates associated with the characterization of patient synovial fluids will reveal a panel of putative biomarkers tightly linked to PJIs. The confirmation of the presence of bacterial PJI biomarkers in synovial fluids of infected patients will pave the way for the development of a new reliable test capable of aiding in the diagnosis of subclinical PJIs.
Patients suspected with infection is one of the major groups, who are admitted to the Danish Emergency Departments (ED). Currently, there is no overall description of the distribution of these infections. The aim of this study is to characterize ED patients with a suspected infection whereby the focus of the infection is of an unknown origin.
This is a protocol aimed at children and adolescents contaminated with COVID, treated at the Hospital das Clínicas, University of Sao Paulo, Brazil (HCFMUSP), in the recovery phase. The study aims to evaluate the spectrum of pathogenic lesions of the virus not only in the respiratory system, but digestive, immunological, neurological and others. Clinical, evolutionary, laboratory and functional parameters will be used.
The current global pandemic at COVID-19 is a major public health issue. Transmission of the virus is primarily through direct and close person-to-person contact. The protection of health care personnel and the limitation of transmission of nosocomial COVID is paramount. Protective measures have already shown their effectiveness in limiting the spread of the virus: the use of masks, the wearing of protective gowns, the wearing of protective eyewear, social and physical distancing. A recent U.S. study (Rhee et al. JAMA 2020) reported a very low incidence of 1.7% of nosocomial COVID, but this was achieved with the application of rigorous infection risk management protocols. In addition to the widespread use of masks and protective measures, dedicated COVID units had been created, with air treatment. The implementation of these dedicated units requires the mobilization of considerable human and material resources, which is not feasible in all hospitals over the long term. In view of the second wave of the epidemic in France, with the rising numbers of new cases of COVDI-19 admitted to intensive care units since the end of the summer 2020, it is essential to organize the intensive care units to ensure the protection of personnel and limit the risk of nosocomial COVID-19, while continuing to care for non-COVID patients. In Intensive Care unit (ICU) at the Nantes University Hospital, a strict protocol for the management of suspected or confirmed COVID patients has been in place since early september 2020. The objective of this study is to evaluate the effectiveness of this protocol for managing the infectious risk of SARS-COV-2 on the incidence of nosocomial COVID in patients admitted in ICU. The secondary objectives are to evaluate the incidence of nosocomial-associated COVIDs contracted by caregivers, and the incidence of asymptomatic positive SARS-CoV-2 cases in ICU.
To evaluate the feasibility of performing combined hemodialysis with the GARNET device in chronic hemodialysis patients with a blood stream infection (BSI), and measure clinical performance and safety endpoints.
A study of LMP1 CAR-T for patients with LMP1 positive infectious diseases and hematological malignancies
To assess the efficacy and safety of FOY-305 in patients with SARS-CoV-2 infection (COVID-19) in a placebo-controlled, multicenter, double-blind, randomized, parallel-group comparative study.
In the context of COVID-19 pandemic, identifying low-risk patients who can be safely treated at home and high-risk patients requiring hospitalization or even intensive care is crucial for Emergency Departments. Thanks to a consensus of experts using the Delphi method, we previously defined the HOME-CoV rule. The HOME-CoV rule consists of 8 items precluding home treatment for patients consulting in the Emergency Department (ED) with confirmed or highly suspected mild to moderate COVID-19. It has been validated in a prospective study, patients with a negative rule having a very-low rate of invasive ventilation or death within the 7 days following ED presentation (HOME-CoV study, NCT: 02811237). Using logistic regression, we revised the HOME-CoV rule in order to define a score allowing. The revised HOME-CoV score comprises 7 criteria and, retrospectively assessed in the database of the HOME-CoV study, it exhibits promising performances. A revised HOME-CoV score < 2 had a sensitivity of 0.93 (0.84 to 0.98), a specificity of 0.60 (0.58 to 0.61) and negative predictive value of 1.00 (0.99 to 1.00); and a score > 4 had a sensitivity of 0.41 (0.28 to 0.54), a specificity of 0.93 (0.92 to 0.94) and a positive predictive value of 0.11 (0.07 to 0.16). The present study aims to prospectively validate the revised HOME-CoV score, firstly, in identifying a subgroup of COVID-19 patients with a low risk of evolution to severe COVID-19 and who could be safely treated at home. For this purpose, we will perform an interventional multicentric prospective pragmatic cohort study with implementation of the revised HOME-CoV score to triage COVID-19 patients.