View clinical trials related to Cross Infection.
Filter by: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.
As antibiotic resistance increases globally, it becomes more difficult to select empiric antibiotic therapy, particularly in patients with sepsis who stand to benefit from early adequate treatment. In particular it is difficult for clinicians to balance antibiotic stewardship principles (the need to avoid unnecessary prescribing of antibiotics that have an excessively broad spectrum of activity that favour resistance development) and under treatment. The integration of multiple risk variables for resistance are hard for clinicians to translate into clinical action, and is seemingly at odds with the natural inclination to provide heuristic/emotion-based antibiotic selection. The inappropriate treatment of sepsis is not uniformly too broad, or too narrow, and there is a need to optimize and tailor selection of antibiotic therapy to each patient, such that those that are at risk for resistant organisms receive broad therapy, and those that are not at risk, receive narrower antibiotic agents. Clinicians need support picking the right antibiotic for each patient, and from this they can potentially drive reduction of unnecessarily broad antibiotic prescribing while preserving adequacy of treatment. Individualized clinical prediction models and decision support interventions are promising approaches that meet these needs by improving the classification of patient risk for antibiotic resistant or susceptible infections in sepsis. Unfortunately, few have been validated in the clinical setting and larger rigorous studies are needed to provide the evidence to support broader clinical adoption. The investigators will perform a cluster randomized cross-over trial of an individualized antibiotic prescribing decision support intervention for providers treating hospitalized patients with suspected sepsis. The aim of this trial is to determine whether a stewardship led clinical decision support intervention can improve antibiotic de-escalation in patients with sepsis while maintaining or improving adequacy of antibiotic coverage. This decision support intervention will be based on a combination of proven decision heuristics (for Gram-positive organisms) and modelled predicted susceptibilities (for Gram-negative organisms) that are individualized to the patient. The primary outcome will be the proportion of patients de-escalated from their initial empiric regimen within 48 hours.
Antimicrobial agents are frequently used empirically and include therapy for both Gram-positive and Gram-negative bacteria. In Brazil, multidrug-resistant Gram-negative pathogens are the cause of most nosocomial infections in ICUs. Therefore, the excessive use of antimicrobials to treat Gram-positive bacteria represents an opportunity to reduce unnecessary antibiotic use in critically ill patients. Besides, the success of a program aimed at reducing the use of antibiotics to treat gram-positive bacteria could also evolve to include other microorganisms, such as gram-negative bacteria and fungi. Analyzing data from the ICUs of the associated hospital network, high use of broad-spectrum antibiotics and vancomycin were observed, although MRSA infections rarely occur. Thus, if physicians could identify patients at high risk of infection by gram-positive bacteriaa reduction in antibiotic consumption could occur.. The more accurate treatments could result in better patient outcomes, reduce the antibiotics' adverse effects, and decrease the prevalence of multidrug-resistant bacteria. Therefore, our main goal is to reduce antibiotic use by applying an intervention with three main objectives: (i) to educate the medical team, (ii) to provide a tool that can help physicians prescribing antibiotics, and (iii) to find and reduce differences in antibiotic prescription between hospitals with low- and high-resources. To achieve these objectives, he same intervention will be applied in ICUs of two hospitals with different access to resources. Both are part of a network of hospitals associated with our group. First, baseline data corresponding to patient characteristics, antibiotic use, microbiological outcomes and current administration programs in practice at selected hospitals will be analyzed. TThen, a predictive model to detect patients at high risk of Gram-positive infection will be developed. After that, t will be applied for three months as an educational tool to improve medical decisions regarding antibiotic prescription. After obtaining feedback and suggestions from physicians and other hospital and infection control members, the model will be adjusted and applied in the two selected hospitals for use in real time. For one year, we will monitor the intervention and analyze the data monthly.
Antibiotic resistance is one of the most pressing health threats that mankind faces now and in the coming decades. Antibiotic resistance leads to longer hospital stays, higher medical costs and increased mortality. In order to tackle antibiotic resistance, a computerized-decision support system (CDSS) facilitating antibiotic stewardship and an electronic surveillance software (ESS) facilitating infection prevention and control activities will implement in our tertiary care university hospital. The investigators conduct a pragmatic, prospective, single-centre, before-after uncontrolled study with an interrupted time-series analysis 12 months before and 12 months after the introduction of the CDSS for antibiotic stewardship (APSS) and ESS for infection surveillance (ZINC). APSS and ZINC will assist respectively the antibiotic stewardship and the infection prevention and control teams of Nancy University Hospital (France). The investigators will evaluate the impact of the CDSS/ESS on the antibiotic use in adult (≥ 18 years) inpatients (hospitalised ≥ 48h). The primary outcome is the prescription rate by all healthcare professionals from the hospital of all systemic antibiotics expressed in defined daily doses/1 000 patients/month. Concurrently, the investigators will assess the safety of the intervention, its impact on the appropriateness of antibiotic prescriptions and on additional precautions (isolation precautions) as recommended in guidelines, and on bacterial epidemiology (multidrug-resistant bacteria and Clostridioides difficile infections) in the hospital. Finally, the investigators will evaluate the users' satisfaction and the cost of this intervention from the hospital perspective.
Neurosurgery (NS) is essential for the treatment of various diseases such as malignant tumors, vascular conditions, spinal stenosis or trauma. However, NS can be complicated by the onset of infections, directly related to surgery or to hospitalization. Little is known regarding the epidemiology, the optimal treatment regimens and the outcome of infections following NS (I-NS). The study aims at investigating the clinical and microbiological characteristics as well as the outcomes of I-NS occurring at a single Institution (IRCCS Neuromed, Pozzilli, Italy) during the period 2016-2018. Patients with at least 1 infective episode requiring antimicrobial therapy are included in this retrospective observational study.
Background: Multiple neonatal disorders are associated with risks of neurological injury. Thus, management of these infants should involve a coordinated approach to permit early diagnosis with improved clinical care. Such initiative involves the use of standardized protocols, continuous and specialized brain monitoring with electroencephalography (EEG), amplitude integrated EEG (aEEG) and Near Infrared Spectroscopy (NIRS), neuroimaging and training. Brazil is a very large country with disparities in health care assessment; some neonatal intensive care units (NICUs) are not well structured and trained to provide adequate neurocritical care. However, the development and implementation of these neurocritical care units requires high expertise and significant investment of time, manpower and equipment. In order to reduce the existing gap, a unique advanced telemedicine model of neurocritical care called Protecting Brains and Saving Futures (PBSF) protocol was developed and implemented in some Brazilian NICUs. Methods: A prospective observational cohort study will be conducted in 20 Brazilian NICUs that have adopted the PBSF protocol. All infants receiving the protocol during January 2021 to December 2023 will be eligible. Ethical approval will be obtained from the participating institutions. The primary objective is to describe the use of the PBSF protocol and clinical outcomes, by center and over a 3 years period. The use of the PBSF protocol will be measured by quantification of neuromonitoring, neuroimaging exams and sub-specialties consultation. Clinical outcomes of interest after the protocol implementation are length of hospital stay, detection of EEG seizures during hospitalization, use of anticonvulsants, inotropes, and fluid resuscitation, death before hospital discharge, and referral of patients to high-risk infant follow-up. These data will be also compared between infants with primarily neurologic and primarily clinical diagnosis. Discussion: The implementation of the PBSF protocol may provide adequate remote neurocritical care in high-risk infants with optimization of clinical management and improved outcomes. Data from this large, prospective, multicenter study are essential to determine whether neonatal neurocritical units can improve outcomes. Finally, it may offer the necessary framework for larger scale implementation and help in the development of studies of remote neuromonitoring.
Hospital acquired chest Infections are common complications in hospitalized cirrhotic patients. Infectious complications are the most common cause of mortality in cirrhotic patients with bronchopneumonia early antibiotic treatment at the base of culture and sensitivity is an optimal therapeutic approach in cirrhotics with nosocomial pneumonia Intensive care unit acquired pneumonia is the leading infection in critically ill patients and a major cause of morbidity and mortality despite recent major advances in antimicrobial therapy, supportive care, and the use of a broad range of preventive measures
Hospital-acquired influenza is associated with significant morbidity and mortality in hospitalized patients notably elderly patients. Furthermore, it is also associated with a large economic impact for the hospitals. The transmission of influenza has been mostly reported in pediatric and long-stay units. The chains of transmission of influenza in acute-stay units have to be describe in order to prevent and control potential outbreaks. Furthermore, to know clinical symptoms seems to be important in order to identify potential sources of virus as soon as possible and to set up appropriate hygiene prevention measures. Moreover, the definition of the hospital-acquired influenza has to be harmonized for all over the studies, especially concerning the delay between the admission in the hospital and the symptoms onset. The aim of this study is to describe the hospital-acquired influenza in a french university hospital of around 800 beds
This is a controlled open label efficacy study of Aionx antimicrobial surface for the prevention of healthcare-associated infections.
Sepsis contributes to nearly 20% of all hospital deaths and is the leading cause of death on non-coronary intensive care units. Contamination of the patient environment is common with organisms such as MRSA, VRE and C.difficile remaining viable for days or weeks on a variety materials and surfaces. Up to 90% of patient notes and charts on critical care may be contaminated with potential pathogens including MRSA and it has been shown that healthcare workers may contaminate hospital paperwork with organisms originating from patients. Cellomed is a triclosan based laminate which has been shown to possess antimicrobial activity against MRSA, E.Coli, Enterococcus, Stenotrophomonas and Klebsiella. The study presented for consideration aims to compare levels of contamination between critical care observation charts coated with either a 'standard' matt or antimicrobial Cellomed laminate. It is proposed that paperwork laminated with Cellomed may exhibit reduced levels of contamination and decrease the potential for cross infection on critical care and potentially other areas of the hospital in which clinical paperwork is handled.