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http://dx.doi.org/10.2345/0899-8205-49.4.237 | DOI Listing |
Intern Med J
January 2025
Renal Medicine, Latrobe Regional Hospital, Traralgon, Victoria, Australia.
Background And Aims: The COVID-19 pandemic impacted greatest among patients with pre-existing chronic health conditions, including chronic kidney disease. This retrospective cohort study aimed to investigate the 30-day mortality of patients receiving kidney replacement therapy (KRT) after infection with COVID-19, living in Australia and New Zealand between 2020 and 2022, including patients on haemodialysis (HD), peritoneal dialysis (PD) and renal transplant (KT) recipients.
Methods: This is a retrospective cohort study using data from the Australian and New Zealand Dialysis and Transplant Registry (ANZDATA).
J Agromedicine
January 2025
Department of Mechanical Engineering, George Mason University, Fairfax, VA, USA.
Objectives: Commercial fishing is one of the most dangerous industries in the United States, and although injuries have been a prominent focus for research, some health and safety risk factors such as sleep are understudied. In this paper, data from a multi-modal research study of sleep patterns, lifestyle factors, occupational exposures, medical histories, and health assessments in four U.S.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Pathophysiology, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, 540142 Targu Mures, Romania.
Venous thromboembolism (VTE), encompassing deep vein thrombosis and pulmonary embolism, is a significant burden on health and economic systems worldwide. Improved VTE management calls for the integration of biomarkers into diagnostic algorithms and scoring systems for risk assessment, possible complications, and mortality. This literature review discusses novel biomarkers with potential diagnostic and prognostic value in personalized VTE management.
View Article and Find Full Text PDFJ Clin Med
December 2024
Research Service, Department of Medicine, Raymond G. Murphy Veterans Affairs Medical Center, University of New Mexico School of Medicine, Albuquerque, NM 87108, USA.
Hyperglycemic emergencies cause significant losses of body water, sodium, and potassium. This report presents a method for computing the actual losses of water and monovalent cations in these emergencies. We developed formulas for computing the losses of water and monovalent cations as a function of the presenting serum sodium and glucose levels, the sum of the concentrations of sodium plus potassium in the lost fluids, and body water at the time of hyperglycemia presentation as measured by bioimpedance or in the initial euglycemic state as estimated by anthropometric formulas.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Engineering Management and Systems Engineering, George Washington University, Washington, DC 20052, USA.
Effective network intrusion detection using anomaly scores from unsupervised machine learning models depends on the performance of the models. Although unsupervised models do not require labels during the training and testing phases, the assessment of their performance metrics during the evaluation phase still requires comparing anomaly scores against labels. In real-world scenarios, the absence of labels in massive network datasets makes it infeasible to calculate performance metrics.
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