Pseudomonas aeruginosa strains that produce metallo-beta-lactamases (MBLs) are becoming increasingly prevalent. We evaluated the epidemiological and microbiological characteristics of monomicrobial bloodstream infections caused by MBL-producing P. aeruginosa isolates, as well as the clinical outcomes in patients with these infections.
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http://dx.doi.org/10.1128/AAC.50.1.388-390.2006 | DOI Listing |
Rev Panam Salud Publica
January 2025
Infectious Diseases Unit Hospital Carlos G. Durand Buenos Aires Argentina Infectious Diseases Unit, Hospital Carlos G. Durand, Buenos Aires, Argentina.
Objective: To conduct a point prevalence survey (PPS) of antibiotic use in the main pediatric tertiary-level hospital in Panama City to establish antibiotic prevalence and identify key areas for addressing antimicrobial resistance.
Methods: This point prevalence survey (PPS) conducted in a tertiary-level hospital in Panama followed the Pan American Health Organization's adaptation of the methodology proposed by the World Health Organization for PPSs on antibiotic use. Information obtained included patients' demographic characteristics, antimicrobial prescriptions, indication for antimicrobial use, and prescription's adherence to guidelines.
Infect Drug Resist
January 2025
Department of Infectious Disease, Changzheng Hospital, Navy Medical University, Shanghai, People's Republic of China.
The Hepatorenal Syndrome-Acute Kidney Injury (HRS-AKI) patients infected with methicillin-resistant (MRSA) urgently require safe and effective treatment options due to their compromised hepatic and renal functions, as well as thrombocytopenia resulting from hypersplenism. In our case, an HRS-AKI patient who underwent continuous renal replacement therapy for fluid overload developed fever with chills. His blood tests indicated elevated C-reactive protein and neutrophils, low platelet count, and bilateral lung infiltrates.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Hepatobiliary Pancreatic Surgery Department, Huadu District People's Hospital of Guangzhou, Guangzhou, China.
Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population. This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality.
Objective: To develop an optimum model for predicting the mortality of adult sepsis patients based on comparing traditional logistic regression and machine learning methodology.
Front Med (Lausanne)
January 2025
Department of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.
View Article and Find Full Text PDFCureus
December 2024
Pulmonary and Critical Care Medicine, Rutgers New Jersey Medical School University Hospital, Newark, USA.
Enteral administration of vancomycin is the standard treatment for () colitis and is presumed to have no systemic absorption. In critically ill patients, however, especially with multi-organ failure, enteral absorption of vancomycin is unpredictable and can cause severe toxicity if it remains unrecognized. We therefore report a case of systemic absorption of enteric vancomycin in a patient with severe colitis.
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