Active clinical trials for "Cross Infection"

Multicentric observational prospective cohort study in 15 (fifteen) hospitals representing all Brazilian regions. The main objective of this project is to evaluate the incidence of Ventilator-Associated Pneumonia (VAP) when using the current ANVISA criteria for VAP versus VAE criteria defined by the National Healthcare Safety Network (NHSN). The diagnostic accuracy of the two criteria for identifying VAP will also be compared, characterizing other events associated with mechanical ventilation that are not VAP, when applicable. The study also aims to adjudicate ventilator-associated pneumonias reported to ANVISA using current epidemiological diagnostic criteria.

Thousands of healthcare workers have been infected with SARS-CoV-2 and contracted COVID-19 despite their best efforts to prevent contamination. No proven vaccine is available to protect healthcare workers against SARS-CoV-2. This study will enroll 470 healthcare professionals dedicated to care for patients with proven SARS-CoV-2 infection. Subjects will be randomized either in the observational (control) group or in the inhaled nitric oxide group. All personnel will observe measures on strict precaution in accordance with WHO and the CDC regulations.

Nosocomial Infections (NI) are a common and dreadful complication for patients suffering from Acute Respiratory Distress Syndrome (ARDS) treated with Extracorporeal Membrane Oxygenation (ECMO). Unfortunately, no study has thoroughly evaluated NI in this fragile patient cohort. Newly developed antibiotics may help manage such infections, but their pharmacokinetics (PK) during ECMO has not been evaluated. Objectives of this prospective observational multicenter pharmacological no-profit study are: 1) describe incidence, microbial etiology, and resistance patterns, and assess risk factors for NIs in a large prospective cohort of ARDS patients undergoing ECMO. 2) provide a PK analysis of ceftazidime/avibactam, meropenem/vaborbactam, ceftolozane/tazobactam, and cefiderocol in adult patients undergoing ECMO Incidence, microbial etiology, and antibiotic resistance patterns of confirmed NIs will be prospectively collected and analyzed. In the subgroup of patients treated with ceftazidime/avibactam, meropenem/vaborbactam, ceftolozane/tazobactam, or cefiderocol as per clinical practice, blood and bronchoalveolar concentration of the antibiotic will be measured, and PK modeling carried out.

The goal of this clinical trial is to propose a seamless intervention linking rapid bacterial isolate identification and antibiotic resistance gene detection and targeted antibiotic prescription to minimise time between infection onset and appropriate treatment in patients with Pseudomonas aeruginosa or carbapenemase producing Enterobacterales infections. This is an investigator initiated trial. The primary hypothesis is that these interventions will lead to improved clinical outcomes amongst patients with hospital-acquired bloodstream infection, hospital-acquired pneumonia or ventilator-associated pneumonia due to carbapenem non-susceptible Pseudomonas aeruginosa or Enterobacterales, compared to standard antibiotic susceptibility testing. Patients will be randomised to either a control or intervention arm. Patients randomised to the intervention arm will have relevant specimens analysed by rapid microbiological diagnostics and will have early availability of ceftazidime-avibactam if appropriate. Patients randomised to the control arm, will have samples analysed by clinical microbiology laboratories using standard of care diagnostics. Antibiotics will be available to these patients as per usual institutional practice.

Hospital-acquired infections (HAIs) are significant public health issues, especially in low- and middle-income countries (LMICs). Hand hygiene and low-level disinfection of equipment (LLDE) practices among healthcare workers (HCWs) are essential to reduce HAIs. Various effective infection prevention and control (IPC) interventions to reduce HAI incidence have been developed. However, which interventions work effectively in LMICs has not been identified. The investigators aim to develop, pilot, and assess the feasibility and acceptability of an IPC intervention in Cambodia and the Lao People's Democratic Republic (PDR).

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.

Pseudomonas aeruginosa causes severe infections in hospitalized patients. The worldwide emergence of carbapenem-resistant P. aeruginosa (CR-PA) makes infections by these pathogens almost untreatable. The World Health Organization now ranks CR-PA highest in the list of 'urgent threats'. Information for action to prevent further emergence has to come from insight into sources and transmission routes through smart surveillance. At present, a smart surveillance strategy is not available for CR-PA. The aim of this project is to develop a globally-applicable smart surveillance strategy to guide action against the spread of CR-PA. Since P. aeruginosa prefers moist niches, we will focus on the human-water interface. First, highly-sensitive methods to detect CR-PA in specific environmental and human niches will be developed. Subsequently, CR-PA will be collected in three study sites with increasing prevalences of CR-PA, increasingly warmer climates, and different water situations: Rotterdam (The Netherlands), Rome (Italy), Jakarta (Indonesia). CR-PA will be searched for in a variety of niches in the environment outside and inside the hospital, and in healthy humans and hospitalized patients. Whole genome sequencing will be performed to compare the CR-PA from different sources and identify transmission routes. Our project will provide insight into the relative contribution of the different potential reservoirs of CR-PA to its spread in different settings which will be used for the development of a globally-applicable surveillance strategy for CR-PA to guide preventive actions.

HVAPNOR consists of Three work packages: Prospective observational study of Hospital (HAP) - and ventilator-Associated pneumonia (VAP) at 5 hospitals in Norway. Establish optimized routines for microbiological sampling, diagnostics and antibiotic stewardship.. Biomarker studies in HAP and VAP. Studies on capacity building in HAP and VAP diagnostics.

In this study, we evaluate peri- and postoperative parameters of patients undergoing a cystectomy and try to find risk factors for infectious complications. In detail, we analyze their medical history, demographic data, lab values, microbiological tests as well as histological and radiological findings. Furthermore, after discharging our patients, we send them several follow-up questionnaires at regular intervals and offer them free follow-up examinations.

Aim: To investigate if host factors, such as composition and diversity of intestinal microbiota and/or genetic determinants, are associated with a higher risk of recurrence of Clostridioides difficile infection (CDI). To generate a predictive tool based on epidemiological, clinical, genetic and microbiologic variables aimed to identify patients at a higher risk of CDI recurrence in a context of optimized ICD management. Design: Multicenter prospective cohort study. Patients: Older than 18 years patients with CDI diagnosis, made by IDSA criteria, in the participant centers. Follow-up: A stewarship program aimed to improve CDI management, including early detection of CDI recurrence, will be implemented in the participant centers. Blood samples for genetic testing and stool samples for intestinal microbiome studies will be collected. Variables and data analysis: The primary outcome variable will be the emergence of CDI recurrence. Potential independent predictors of recurrence, including genetic and microbiological factors, will be assessed. A predictive tool based on independent predictors of recurrence will be built in a development subpopulation. The performance of the model will be assessed by ROC curves, and sensititvity, especificity, as well as negative and positive predictive values will be calculated, both in the development subpopulation and in a validation subset.