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Purpose: Empirical gentamicin dosing based on serum creatinine (SCr) levels in premature and term neonates was evaluated.
Methods: This single-center, retrospective cohort study was conducted in a standalone children's hospital with a level IIIB, 44-bed neonatal intensive care unit (NICU). Data were abstracted and collected for all neonates admitted to the NICU from March 5, 2012, through March 5, 2014. Patients were included in the study if gentamicin was administered within the first 7 days of life, a trough gentamicin level was measured, and the neonate had a baseline SCr level measured within the first 24 hours of life. A series of logistic regressions was conducted to determine if gentamicin trough levels were influenced by gestational age (≤29 weeks [group 1], 30 weeks to 34 weeks and 6 days [group 2], and ≥35 weeks [group 3]) and SCr level (0.81-0.99 mg/dL [mildly elevated] and ≥1 mg/dL [elevated]).
Results: Of the 577 neonates reviewed during the study period, 507 met the inclusion criteria. Mildly elevated and elevated SCr levels were significantly associated with the presence of an elevated gentamicin trough ( < 0.001). When the effect of gestational age was evaluated, the data suggested that SCr is a strong predictor of elevated gentamicin troughs.
Conclusion: Neonates with a gestational age of ≥30 weeks who had an SCr level of ≥1 mg/dL within the first 12-24 hours of life were more likely to have an elevated gentamicin trough level than their counterparts with normal SCr levels.
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http://dx.doi.org/10.2146/ajhp160061 | DOI Listing |
J Med Imaging Radiat Sci
September 2025
Sefako Makgatho University, Pretoria, Department of Medical Physics, South Africa. Electronic address:
Introduction: Diagnostic reference levels (DRLs) are essential for optimising ionising radiation use in medical imaging and minimising patient exposure. Radiographers play a key role in implementing DRLs to ensure dose optimisation and high-quality imaging. However, gaps in awareness and understanding can hinder effective application.
View Article and Find Full Text PDFEur J Pharm Biopharm
September 2025
Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy; Department of Women, Child and Public Health Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Unlabelled: The Media-Fill Test is a crucial procedure in the pharmaceutical industry, especially for the production of sterile drugs that do not undergo terminal sterilization (meaning they are prepared directly under aseptic conditions).The primary goal of the Media-Fill Test is to evaluate the overall effectiveness of the aseptic process in preventing microbial contamination. It doesn't serve to test the sterility of an individual production batch, but rather to: Validate the aseptic process, Qualify personnel, Identify critical points and Verify the environment.
View Article and Find Full Text PDFPhytomedicine
August 2025
School of Chinese Materia Medica, Beijing University of Chinese Medicine, 102488, China. Electronic address:
Background: Diabetic nephropathy (DN), a serious diabetic complication, currently has limited treatment options. Yulan Jiangtang capsules (YL) are a clinically approved traditional Chinese medicine formula for glycemic control and diabetes-related complications. Nevertheless, the underlying mechanisms of their therapeutic effects remain incompletely elucidated.
View Article and Find Full Text PDFInt J Rheum Dis
September 2025
Department of Communication Science and Disorders, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Objectives: Inclusion body myositis (IBM) can result in deadly respiratory consequences. Yet, the mechanism driving this issue remains equivocal. We mapped the literature to identify physiological respiratory characteristics in IBM and the types of respiratory assessments used.
View Article and Find Full Text PDFJ Neurointerv Surg
September 2025
Shanxi Key Laboratory of Brain Disease Control, Department of Neurology, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, China
Background: This study aims to develop an interpretable machine learning model using SHapley Additive exPlanations (SHAP) to predict favorable outcomes based on clinical, imaging, and angiographic data.
Methods: This study analyzed data from 184 patients with acute basilar artery occlusion (BAO) who underwent endovascular treatment (EVT) and completed a 90-day follow-up at Shanxi Provincial People's Hospital. A total of 68 medical variables were collected to develop predictive models using three machine learning algorithms: logistic regression (LR), support vector machine (SVM), and Light Gradient Boosting Machine (LightGBM).