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| http://dx.doi.org/10.1155/2016/5786182 | DOI Listing |
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Establishment and Validation of a Machine-Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra-Abdominal Candidiasis in Septic Patients.
Clin Transl Sci
January 2025
Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical factors for the early and rapid prediction of Intra-abdominal candidiasis (IAC) in septic patients. A prospective cohort study of 633 consecutive patients diagnosed with sepsis and intra-abdominal infection (IAI) was performed. We assessed the clinical characteristics and lymphocyte subsets at the onset of IAI.
View Article and Find Full Text PDFClinical and Epidemiologic Review of Capnocytophaga Spp. Infections Identified at a Public Health Reference Laboratory-California, 2005-2021.
Zoonoses Public Health
January 2025
Infectious Diseases Branch, Division of Communicable Disease Control, Center for Infectious Diseases, California Department of Public Health, Sacramento, California, USA.
Introduction: Capnocytophaga is a genus of bacteria that are commensal to the oral microbiome of humans and some animals. Some Capnocytophaga species are found in the human oral cavity and rarely cause disease in people; the species found in animals are zoönotic and can be transmitted to people via saliva. This study describes the clinical and epidemiologic features of patients from whom Capnocytophaga spp.
View Article and Find Full Text PDFPoint prevalence survey of antibiotics in a pediatric tertiary hospital in the Republic of Panama.
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.
Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring.
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 PDFA Comprehensive Analysis of Surgical Outcomes for Spinal Fractures in Patients With Ankylosing Spondylitis: A 13-Year Prospective Study.
Cureus
December 2024
Orthopaedic and Spine Surgery, National Institute of Traumatology and Orthopaedic Rehabilitation (NITOR), Dhaka, BGD.
Introduction: Ankylosing spondylitis (AS), a chronic inflammatory spondyloarthropathy affecting the spine, progressively leads to increased spinal stiffness. This condition increases the risk of spine fractures in patients, even from trivial injuries. The process of slow bone formation within the ligaments of the spine and the fusion of the spinal diarthrosis contribute to the most prominent symptom of progressive stiffness of joints, predominantly affecting the spine and sacroiliac joints.
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