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http://dx.doi.org/10.1016/j.jns.2018.10.030 | DOI Listing |
Pain Ther
January 2025
Department of Anaesthesia, Tawam Hospital, PO Box 15258, Al Ain, United Arab Emirates.
Introduction: This review aimed to investigate the inadvertent administration of antibiotics via epidural and intrathecal routes. The secondary objective was to identify the contributing human and systemic factors.
Methods: PubMed, Scopus and Google Scholar databases were searched for the last five decades (1973-2023).
Clin Pharmacokinet
January 2025
Department of Clinical Pharmacology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
The rise in global obesity prevalence has increased the need to understand the pharmacokinetics of drugs in overweight and obese individuals. Tuberculosis remains a significant health challenge, and its treatment outcomes can be influenced by the pharmacokinetic profiles of antitubercular agents. This literature review aims to point out the clinical pharmacokinetics of antitubercular drugs in the overweight and obese patient population, highlighting considerations for potential dosage adjustments.
View Article and Find Full Text PDFInt J Urol
January 2025
Department of Urology, Tel Aviv Sourasky Medical Center, Tel Aviv-Yafo, Israel.
J Alzheimers Dis
January 2025
Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P.R. China.
Background: Cognitive reserve (CR), typically measured through socio-behavioral proxies, can partially explain better cognitive performance despite underlying brain aging or neuropathology.
Objective: To examine the associations of CR with mild cognitive impairment (MCI) and cognitive function while considering Alzheimer's disease (AD)-related plasma biomarkers.
Methods: This population-based cross-sectional study included 4706 dementia-free individuals from MIND-China.
J Alzheimers Dis
January 2025
Department of Neurology and the Franke Barrow Global Neuroscience Education Center, Barrow Neurological Institute, Phoenix, AZ, USA.
Background: The aim of this study was to examine the potential added value of including neuropsychiatric symptoms (NPS) in machine learning (ML) models, along with demographic features and Alzheimer's disease (AD) biomarkers, to predict decline or non-decline in global and domain-specific cognitive scores among community-dwelling older adults.
Objective: To evaluate the impact of adding NPS to AD biomarkers on ML model accuracy in predicting cognitive decline among older adults.
Methods: The study was conducted in the setting of the Mayo Clinic Study of Aging, including participants aged ≥ 50 years with information on demographics (i.
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