View clinical trials related to Bacterial Infections.
Filter by:The goal of this observational study is to investigate how bacterial populations from the intestine and mouth of patients change during the hospitalization period and evaluate if some populations of specific bacteria increase or decrease the risk of acquiring an infection or becoming colonized by pathogenic bacteria. Participants will have the following samples collected during enrollment: stool samples (maximum 2x/week), blood draws (1x/week), oral swab (1x/week).
Multidrug resistant bacteria (MDR) pose a threat to the safety of patients worldwide. Drug resistant bacteria are commonly present in hospital environments and can cause infections, often leading to outbreaks within hospitals. Cross transmission through medical staff has been proven to be a significant cause of MDR bacterial transmission in hospitals. Although some studies have shown that the detection of gut drug-resistant bacteria in healthcare workers is similar to that in healthy individuals, these studies are limited to small sample sizes and detection methods. Here, the investigator characterize the differences between ARG colonization among healthcare workers and healthy populations through deep metagenomics.
We seek to characterise the burden and outcomes of and understand the current experience of people who inject drugs admitted to hospital with invasive injecting-related infections, in order to implement and evaluate strategies to improve completion of therapy and reduce patient-directed discharges, with ultimate benefit to the patient and health service.
In July 2020, a bundle (Appendix C) was implemented at Methodist Dallas Medical Center where all patients with SAB were reviewed by the antimicrobial stewardship pharmacist (Monday - Friday from 0700 to 1500), a note outlining optimal interventions was written in the electronic medical record (EMR), and the recommendations were communicated to the primary team via secure messaging or telephone
We propose a randomized pilot/feasibility study comparing oral care treatment as usual (TAU) with Swiftsure SwishKit plus oral care TAU on the presence and magnitude of bacterial load in the oropharyngeal space in orotracheally intubated patients. The trial will be conducted with IRB approval and written consent from patient or its legal representative.
The goal of this observational study is to learn about the risk factors of mortality for CRKP infected patients, and to compare the clinical outcomes between hvCRKP infection and cCRKP infection. The main question it aims to answer is • Whether hypervirulence would add value to cCRKP infection and cause worse outcomes? Participants data will be collected through medical records.
Cystic fibrosis (CF) is the most common hereditary life-threatening condition in Belgium. Because of a dysfunctional cystic fibrosis transmembrane conductance regulator (CFTR) channel, chloride is unable to move to the cell surface and mucus becomes more viscous. Consequently, CF patients are not able to clear their lungs efficiently, and trapped bacteria can lead to chronic infection and inflammation of the lungs, and ultimately respiratory failure. CF lung disease starts at birth due to muco-inflammatory processes and is associated with a significantly altered microbial colonization of the infant airways compared to infants without CF. Additionally, young children with CF suffer from viral infections as often as their healthy peers, but the episodes are more severe and often prolonged. Moreover, frequent viral infections in children with CF contribute towards a more pathogenic airway microbiome at a young age. Although this link has been previously reported, the exact mechanisms by which this occurs need to be elucidated. A pulmonary exacerbation in CF is characterized by an increase in respiratory symptoms, general symptoms and a decline in lung function. Most young children with CF suffer from a mean of 4 exacerbations per year for which antibiotics are prescribed. Despite the current novel therapies in CF, treatment of respiratory infections stay relevant and is a greater challenge with increasing survival. The key objective of this study is to gain insights into the mechanisms by which viral infections leading to pulmonary exacerbations induce a more pathogenic microbiome in young children with CF. About forty participants will be recruited at the paediatric CF clinic of the Antwerp University Hospital. Inclusion criteria are an age of less than 5 years and a diagnosis of CF. There are no exclusion criteria. Duration of the study is 1 year to cover for seasonality of clinical symptoms. Study visits are scheduled at 3-month intervals corresponding with the regular follow up, or unscheduled during an acute pulmonary exacerbation. From all participants, two oropharyngeal swabs (for microbiome analysis and for immunological/mucin analysis) will be collected at set time points. For the linking of the laboratory data to the clinical characteristics, we will examine demographics, environmental exposures, and disease markers of CF. Next to the collection of the oropharyngeal swabs, a history, physical examination, and technical investigations will be performed at the study visits.
Objectives: 1. To compare the immune response of patients with or without sepsis presenting to the ED with a(n) (suspected) infection. 2. To determine immune response aberrations that are associated with an increased risk of developing sepsis in patients presenting to the ED with a(n) (suspected) infection without sepsis. 3. To determine the long term cognitive and physical sequelae of sepsis after admission.
Inadequate treatment of infections frequently leads to complications that cause new visits to the doctor, lengthen hospital stays and can lead to sepsis, even causing the death of affected patients. Several scientific studies have documented that up to 20%-30% of antibiotic prescriptions are incorrect and do not cover the microorganism causing the infection. iAST® is a simple antibiotic prescribing aid tool that applies complex algorithms based on the latest artificial intelligence technologies to accurately predict the best specific antibiotic for a patient, before knowing the definitive microbiological results (bacterial identification and antibiogram). The objective of the present trial is to demonstrate the non-inferiority of iAST® with respect to physicians for the appropriate choice of empiric and semi-directed therapy of common infectious diseases, including sepsis, urinary tract infections and ventilator-associated pneumonias or tracheobronchitis. The adequacy of the medical prescription and the iAST® prediction will be compared taking the antibiogram report as a reference. The study design is retrospective, so that no intervention will be done on the patients. The investigators will conduct a retrospective search for infection cases and note the antibiotic treatment prescribed by the doctors. In parallel, they will enter basic patient data such as age, sex, service where they were treated, type of infection and microorganism (in the case of semi-directed treatment evaluation) into the iAST® software and will write down the first three treatment options recommended by the tool. The treatments of both arms (medical treatment and iAST® prediction) will be compared with the microbiological results and the success rate of each of them will be calculated.
Using our own patient data, our study aimed to predict mortality that can develop in Carbapenem-resistant Gram-negative bacilli bloodstream infections with a machine learning-based model. In the intensive care unit, patients with bloodstream infections, both with and without mortality, will be examined retrospectively in two subgroups for comparison.