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Recent updates in the therapeutic drug monitoring (TDM) guidelines for vancomycin have rekindled interest in maximum a posteriori-Bayesian (MAP-Bayesian) estimation of patient-specific pharmacokinetic parameters. To create a versatile infrastructure for MAP-Bayesian dosing of vancomycin or other drugs, a freely available, R-based software package, Advanced Dosing Solutions (AdDS), was created to facilitate clinical implementation of these improved TDM methods. The objective of this study was to utilize AdDS for pre- and post-processing of data in order to streamline the therapeutic management of vancomycin in healthy and obese veterans. Patients from a local Veteran Affairs hospital were utilized to compare the process of full re-estimation versus Bayesian updating of priors on healthy adult and obese patient populations for use with AdDS. Twenty-four healthy veterans were utilized to train (14/24) and test (10/24) the base pharmacokinetic model of vancomycin while comparing the effects of updated and fully re-estimated priors. This process was repeated with a total of 18 obese veterans for both training (11/18) and testing (7/18). Comparison of MAP objective function between the original and re-estimated models for healthy adults indicated that 78.6% of the subjects in the training and 70.0% of the subjects in the testing datasets had similar or improved predictions by the re-estimated model. For obese veterans, 81.8% of subjects in the training dataset and 85.7% of subjects in the testing dataset had similar or improved predictions. Re-estimation of model parameters provided more significant improvements in objective function compared with Bayesian updating, which may be a useful strategy in cases where sufficient samples and subjects are available. The generation of bespoke regimens based on patient-specific clearance and minimal sampling may improve patient care by addressing fundamental pharmacokinetic differences in healthy and obese veteran populations.
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http://dx.doi.org/10.1002/phar.2631 | DOI Listing |
Genome Biol
September 2025
Center for Genomic Medicine, Cardiovascular Research Center, , Massachusetts General Hospital Simches Research Center, 185 Cambridge Street, CPZN 5.238,, Boston, MA, 02114, USA.
Background: Rare genetic variation provided by whole genome sequence datasets has been relatively less explored for its contributions to human traits. Meta-analysis of sequencing data offers advantages by integrating larger sample sizes from diverse cohorts, thereby increasing the likelihood of discovering novel insights into complex traits. Furthermore, emerging methods in genome-wide rare variant association testing further improve power and interpretability.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Importance: As obesity rates rise in the US, managing associated metabolic comorbidities presents a growing burden to the health care system. While bariatric surgery has shown promise in mitigating established metabolic conditions, no large studies have quantified the risk of developing major obesity-related comorbidities after bariatric surgery.
Objective: To identify common metabolic phenotypes for patients eligible for bariatric surgery and to estimate crude and adjusted incidence rates of additional metabolic comorbidities associated with bariatric surgery compared with weight management program (WMP) alone.
J Obes Metab Syndr
September 2025
Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea.
Background: Research on the relationship between physical activity and medical expenses among individuals with obesity has been sparse. This study investigates that association using nationwide data from Korea.
Methods: We analyzed data from the National Sample Cohort of the Korean National Health Insurance Service, including 112,531 adults with obesity who underwent at least two health screenings within a 2-year interval between 2009 and 2015.
Am J Physiol Heart Circ Physiol
September 2025
Laboratorio de Patología Cardiovascular Experimental e Hipertensión Arterial, Instituto de Investigaciones Biomédicas (UCA-CONICET), Facultad de Ciencias Médicas. Universidad Católica Argentina, Buenos Aires, Argentina.
Cardiometabolic syndrome (CMS) encompasses a cluster of metabolic abnormalities, including obesity, insulin resistance, dyslipidemia, and hypertension that collectively increase the risk of cardiovascular disease and type 2 diabetes. Animal models are widely used to study CMS, with diet-induced models being the most physiologically relevant. A lack of reporting standards and variability in dietary composition, feeding duration, and macronutrient content across studies hinder reproducibility assessment and translational impact evaluation.
View Article and Find Full Text PDFJ Pharm Pract
September 2025
Pharmacy Practice and Translational Research Division, School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.
Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have experienced rapid growth in recent years as treatments for type 2 diabetes mellitus and obesity. These medications offer promising benefits, including weight loss and improved glycemic control; however, their implications for reproductive health warrant attention. While tirzepatide has been shown to impact absorption of oral contraceptives due to delayed gastric emptying, other GLP-1RAs do not appear to have clinically significant interactions with oral contraception.
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