View clinical trials related to Infections.
Filter by:The purpose of this study is to evaluate the efficacy and the tolerance of letermovir as part of dual antiviral therapy (in association with valganciclovir) in renal transplant recipients with CMV DNAemia, requiring valganciclovir treatment per investigator's judgment.
Respiratory tract infections are among the leading causes of death worldwide and many of these infections are preventable through vaccination. One of the most important bacteria from an etiological and mortality point of view regarding respiratory and systemic infections is the gram-positive Streptococcus pneumoniae. Four types of vaccines are currently available for this pathogen: three pneumococcal conjugate vaccines (PCV13, PCV15, and PCV20) and one polysaccharide vaccine (PPSV23). In Italy, people over 65 years of age and people suffering from chronic pathologies with effects on the immune system would be advised to be vaccinated with the pneumococcal conjugate vaccine and with the polysaccharide vaccine as a second dose. However, there are no data available in Italy on vaccination coverage in these population categories and above all the vaccination rates in patients who have a history of an episode of invasive pneumococcal infection are not known. The aim of the study is to measure how many patients are vaccinated for S. pneumoniae after hospitalization for a systemic pneumococcal infection in order to understand patients' awareness of preventing this infection after receiving a first diagnosis.
This is a stepped-wedge, cluster-randomized, two-arm, open-label, clinical trial of an electronic clinical decision support tool (eCDST) for the diagnosis and treatment of lower respiratory tract infection (LRTI) among patients at three sites in Southern Province, Sri Lanka. The primary objective of this trial is to determine the impact of an electronic clinical decision support tool (eCDST) on clinical outcomes and antibacterial prescription in subjects with LRTI in the intervention group compared to the control group. The study will enroll 765 patients ≥ 14 years of age. Medical wards will be randomized in clusters to the intervention at intervals of 3-6 months until all clusters cross over. Participants will be followed for 30 days from enrollment to record clinical outcomes and any antimicrobials prescribed.
The CIEDOUT study is an open label randomized trial in patients with possible cardiac implantable electronic device (CIED) infection. The hypothesis is that CIED removal + guideline antibiotic therapy is better than 6-weeks antibiotic therapy alone in preventing death or relapse of bacteremia in patients with bacteremia and possible CIED infection (not definite CIED infection). The objective of this study is to test whether CIED removal + guideline antibiotic therapy is superior to 6-weeks antibiotic therapy alone in prevention of the composite endpoint of death or relapse bacteremia after 6 months of follow-up in patients with CIED and systemic infection but without definite CIED infection.
The BACILO study was designed with the objective of having robust data on local epidemiological bacterial colonisation information on bile cultures with patients taken to laparoscopic cholecystectomy in our institution to find which predictive factors are associated with culture positivity and antibiotic resistance patterns. Secondary endpoints include evaluating demographical, clinical and surgical variables and establishing comparison between both positive and negative bile cultures and between antibiotic sensitive and resistant microorganism strain isolations.
Multicenter, randomized open label clinical trial to evaluate IEM and HS as concomitant therapy for respiratory tract infection in patients under artificial ventilation in the ICU. Lung infection is a serious complication that may occur during hospital stay and may need artificial respiration or even develop during artificial ventilation for other causes. Current specific treatment consists of intravenous antibiotics. The current study evaluated whether aspiration and drainage of infected sputum helps curing this severe complication and whether nebulized HS has additional benefits, like eradicating bacteria or reducing inflammation.
Retrospective analysis of clinical data from 50 hospital-admitted patients with suspected pulmonary infection (as judged by clinical manifestations and imaging findings) was performed on study participants who had collected two different samples of alveolar lavage fluid (BALF) and sputum and underwent metagenomic next generation sequencing (mNGS) and routine pathogen detection, respectively. The positive rate of pathogen detection and the consistency of pathogen detection results of the two detection methods were compared to evaluate the clinical manifestation and role of mNGS in pathogen diagnosis.
In the present study, we aim to analyze the impact of the introduction of a urinary dipstick test for patients presenting with uncomplicated UTI-associated symptoms on antibiotic prescription in primary health care in Indonesia. In addition, the knowledge of HCW regarding antibiotics and prudent use of antibiotics in the community setting will be investigated. Specific aims of the study: 1. To analyze the quality of antibiotic prescriptions for uncomplicated UTI in the primary health care settings in Indonesia, before introduction of urinary dipstick testing compared to after introduction of urinary dipstick testing. 2. To analyze the knowledge level of healthcare workers on uncomplicated UTI and prudent antibiotic use in primary health care settings in Indonesia.
The main objective of the study is to describe the antimicrobial resistance profile of E. coli isolated in patients from the community - defined as those with cultures collected within 48 hours of hospital admission - and admitted to the intensive care unit.
The goal of this study is to improve the way urinary tract infections (UTIs) are tested for antibiotic resistance. The main questions it aims to answer are: - Can the investigators use a method called Bayesian causal inference to create or check clinical prediction models that help predict if certain antibiotics will work for a urinary infection, using patient information from the National Health Service (NHS)? - Can this new ADAPT-AST method, which uses data and a smarter approach, do a better job of testing for urinary infection than the old methods? Will it help doctors make quicker decisions and save resources by being more efficient? Participants in this study will not be receiving treatments. The study will involve: Using statistical methods to predict UTI test results based on patient data. Evaluating whether this new approach can provide doctors with more timely and useful information for treating UTIs. Assessing whether it can help save money and resources in the lab and pharmacy.