Active clinical trials for "Infections"

Clostridioides difficile infection (CDI) is the most common cause of nosocomial diarrhea, and the most common health care-associated infectious disease in the United States, accounting for 15% of overall infections, nearly 30.000 deaths per year an estimated economic expense of $5 billion/year. In the last decade, most of the burden related to CDI depends on recurrence CDI (rCDI) (3). rCDI is known to extend the hospitalization length, and to be associated with increased morbidity and mortality rates. Furthermore, rCDI is often, more than primary infection, associated with life-threatening complications, including pseudomembranous colitis, toxic megacolon, shock, perforation, bloodstream infection (BSI), sepsis, caused by intestinal bacteria or fungi with a mortality rate nearly 50%, and death. Fecal microbiota transplantation (FMT), defined as the infusion of feces from healthy donors to recipient with disorders associated to dysbiosis, is known to be a highly effective treatment option against CDI. FMT is also more effective than standard treatment with vancomycin and it is recommended by International Guidelines for treating multiple recurrence of CDI. Despite the increasing body of evidence about the clinical efficacy of FMT for the treatment of rCDI, mechanisms for this clinical efficacy are also unknown. Metagenomics analysis is known as a good option to examine gut microbiota and to estimate microbial diversity. The aim of this study is to evaluate changes in microbial composition in rCDI patients after FMT, using metagenomics analysis.

With the decline of virulence after the mutation of the SARS-CoV-2 , based on the national life and health and national development needs, the domestic SARS-CoV-2 infection epidemic prevention policy has changed, and the number of people infected by the SARS-CoV-2 has increased. Nutritional status is an indicator of human health and plays an important role in fighting disease. Malnutrition has been found to correlate with prognosis in patients infected with the SARS-CoV-2 infection . Timely identification and assessment of the patient's nutritional status and early implementation of relevant nutritional intervention are conducive to the recovery of the patient's condition. In clinical practice, it is necessary to improve nutrition as an aspect of the comprehensive diagnosis and treatment of patients with SARS-CoV-2 infection, but there is still a lack of relevant nutritional indicators or models to simply and accurately assess the nutritional status of patients.The purpose of this study was to evaluate the effects of PNI, NRI, GNRI, albumin level, vitamin D, chest muscle area and density on the clinical characteristics and prognosis of patients with SARS-CoV-2 infection, to find the nutritional predictors of severe disease in patients with SARS-CoV-2 infection, and to establish a simpler and more accurate nutritional evaluation model. To provide evidence for targeted nutritional interventions in patients with SARS-CoV-2 infection.

This is a prospective observational cohort study designed to collect data on patients who received REBYOTA™ for the prevention of rCDI in the routine care setting. As all data collected for this study are observational, the decision to prescribe REBYOTA™ is at the treating physician's discretion and independent from the decision to enroll the patient in the study. Data will be collected from patients' medical records after obtaining informed consent. Data about clinical history, CDI events (primary and recurrent: severity, treatment), CDI-related symptoms, treatments, medical procedures, Adverse Events(AEs), and healthcare resource utilization (i.e., hospitalizations and re-admissions) will be collected through 6 months of follow-up from the date of REBYOTA™ administration.

The goal of this clinical trial is to test the effectiveness of an integrated infectious disease/substance use disorder (SUD) clinical team intervention approach in patients hospitalized with severe injection-related infections (SIRI) who use drugs. The main question this study aims to answer is whether this intervention approach will be associated with lower mortality and fewer hospital readmissions. Participants will participate in the integrated SUD/ID care team intervention (SIRI Team). Researchers will compare this intervention to treatment as usual (TUA) to see if there are any differences in health outcomes.

This is a Phase III clinical randomized control trial to investigate differences between patient with an infected nonunion treated by PO vs. IV antibiotics. The study population will be 250 patients, 18 years or older, being treated for infected nonunion after internal fixation of a fracture with a segmental defect less than one centimeter. Patients will be randomly assigned to either the treatment (group 1) PO antibiotics for 6 weeks or the control group (group 2) IV antibiotics for 6 weeks. The primary hypothesis is that the effectiveness of oral antibiotic therapy is equivalent to traditional intravenous antibiotic therapy for the treatment of infected nonunion after fracture internal fixation, when such therapy is combined with appropriate surgical management. Clinical effectiveness will be measured as the primary outcome as the number of secondary re-admissions related to injury and secondary outcomes of treatment failure (re-infection, nonunion, antibiotic complications) within the first one year of follow-up, as defined by specified criteria and determined by a blinded data assessment panel. In addition, treatment compliance, the cost of treatment, the number of surgeries required, the type and incidence of complications, and the duration of hospitalization will be measured.

Patients may benefit from the personalized carbapenem dosing strategy based on pharmacokinetics. The objective of this study is to retrospectively review and analyze the clinical outcomes of patients with different dosing strategy.

A challenge to intermittent vancomycin dosing in young infants is the avoidable delay caused by the need to wait until steady state (i.e. when the drug concentrations are in equilibrium) to measure a vancomycin concentration, as this generally occurs 24 to 48 hours after starting treatment. If the target concentration is not achieved, the dose needs to be adjusted, resulting in further delays in an infant achieving the concentration required to treat their infection. The purpose of this study is to assess the use of early therapeutic drug monitoring (first-dose trough) and, if needed, early dose adjustment, in achieving target vancomycin concentrations at steady state. A dose adjustment calculator (available through a web application) will be used to determine the need for dose adjustment (based on predicted steady state concentration) and recommend an adjusted dose if required.

The goal of this clinical trial is to learn whether showering with surgical drain tubes in place after first stage breast reconstruction causes increased risk of infection. The main questions it aims to answer are: Is there an increased risk of infection/complications with showering 48 hours after drain tubes are in place Does showering after 48 hours with drain tubes in place affect quality of life.

This Phase 2, randomized, observer-blind clinical study is evaluating 3 different priming and booster regimens with MF59-adjuvanted H5N8 and/or H5N6 cell culture-derived influenza vaccine (aH5N8c; aH5N6c). Approximately 480 healthy adult subjects are to be randomized into 1 of 3 possible treatment groups, stratified by age group (18-64 years and ≥65 years) and by poultry worker status (yes/no). Each subject will receive a priming influenza vaccine injection on Day 1 and Day 22 and a booster vaccination on Day 202. Subjects will be followed up for approximately 6 months after the booster injection. The primary immunogenicity analysis is based on antibody responses against H5N8 and H5N6 as measured by hemagglutination inhibition (HI) assay on Day 1, Day 22, Day 29, Day 43, Day 202, Day 209 (H5N8 only), and Day 223.

Post-surgical (bacterial) infections are the most frequent post-surgical complications, including deep or superficial wound infections, urinary tract infections, pneumonia, and even sepsis. Approximately 6.5-25% of all surgical patients will develop any type of bacterial infection. To personalize surgical infection management, (Artificial Intelligence) models are in the making to predict which patients are at high or low risk of developing a post-surgical infection. In order to benchmark these prediction models to the predictive capabilities of surgeons, the investigators aim to investigate the performance of surgeons in predicting the risk of a patient developing (any type) of post-surgical infection within 30 days.