Background And Objectives: Chronic wounds are colonized by many different bacteria.
Patients And Methods: We analyzed microbiological swabs from chronic leg ulcers from 2012/2013 and matched the results with those from 2002/2003 and 2007/2008 from the same institution.
Results: Results from 100 patients from our specialized wound care center were evaluated retrospectively. The etiologies were broadly variable with chronic venous insufficiency being the most common. As the most common bacterium Staphylococcus aureus was found in 53% of patients; 9% of patients were positive for methicillin-resistant S. aureus (MRSA). Pseudomonas aeruginosa was detected in 25% of patients. Different fecal bacteria and Enterobacteriaceae were found in 49% of the patients; 11% of the swabs were sterile. The detection rate for S. aureus has regressed by 17.1% over the past decade and in the case of MRSA by 12.5%. In contrast, colonization with gram-negative bacteria species significantly increased by 11.7%. This tendency was also seen in 2007/2008, but with a higher count of P. aeruginosa.
Conclusion: Although S. aureus is still the most frequently detected bacterium in our wound care center, there has been a shift in the bacterial spectrum from gram-positive towards gram-negative bacteria over the last decade.
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http://dx.doi.org/10.1111/ddg.12540 | DOI Listing |
Crit Care
January 2025
Brain Physics Laboratory, Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK.
Background: The oxygen reactivity index (ORx) reflects the correlation between focal brain tissue oxygen (pbtO) and the cerebral perfusion pressure (CPP). Previous, small cohort studies were conflicting on whether ORx conveys cerebral autoregulatory information and if it is related to outcome in traumatic brain injury (TBI). Thus, we aimed to investigate these issues in a larger TBI cohort.
View Article and Find Full Text PDFGeriatr Gerontol Int
January 2025
Division of Acute Care Surgery, Department of Surgery, University of Iowa Roy J. and Lucille A. Carver College of Medicine, Iowa City, Iowa, USA.
Aim: Pre-injury frailty has been investigated as a tool to predict outcomes of older trauma patients. Using artificial intelligence principles of machine learning, we aimed to identify a "signature" (combination of clinical variables) that could predict which older adults are at risk of fall-related hospital admission. We hypothesized that frailty, measured using the 5-item modified Frailty Index, could be utilized in combination with other factors as a predictor of admission for fall-related injuries.
View Article and Find Full Text PDFThe use of virtual reality (VR) in medicine is rapidly expanding, particularly in areas like pain management, surgical training, and mental health therapy. This study examines the implementation and effects of the Cold River VR application, a fully immersive tool designed to help manage pain and anxiety during dressing changes for burn trauma patients in a Czech hospital. The Cold River application immerses patients in a peaceful, interactive virtual environment, utilizing eye-tracking technology to engage them without the need for physical controllers, which could interfere with wound care.
View Article and Find Full Text PDFInj Prev
January 2025
The University of Queensland, Brisbane, Queensland, Australia.
Background: Given that fall injury is a critical public health concern in Australia, understanding the economic implications of falls among older adults is crucial to allocating healthcare resources efficiently to reduce falls and improve quality of life. This study therefore aimed to estimate the cost and identify factors associated with fall-related injuries within residential aged care (RAC).
Methods: A cohort analysis from the healthcare system perspective based on data from a double-blinded randomised controlled trial-the Opti-Med trial.
Int Wound J
January 2025
Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Pressure ulcers (PUs) impose a significant economic burden on healthcare systems, affecting patient quality of life and leading to substantial treatment costs. This study presents a cost-of-illness analysis of PU treatment in hospitalized patients in the Czech Republic, based on real-world clinical data. The analysis was conducted using a comprehensive methodology at a Czech university hospital, involving 304 hospitalizations.
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