Background: Vancomycin remains the mainstay of empirical therapy directed against MRSA. National guidelines recommend empirical dosing based on total body weight with trough-level therapeutic drug monitoring (TDM), which may not be optimal in obese and super obese patients. Furthermore, nomograms for empirical vancomycin dosing by estimated kidney function pre-date standardization of creatinine assays.
Objectives: To determine an empirical vancomycin dosing strategy for obese and super obese adults that is consistent with the AUC monitoring paradigm.
Methods: We conducted a population pharmacokinetic study using data obtained from routine peak and trough TDM of vancomycin in obese and super obese adults. An empirical dosing nomogram was developed using Monte Carlo simulation to identify vancomycin doses that optimize the probability of efficacy and minimize the probability of acute kidney injury based on AUC.
Results: A total of 346 patients were included encompassing a wide range of body weight (69.6-293.6 kg) and BMI (30.1-85.7 kg/m2) values. In the final model, vancomycin clearance (CLV) was described using a linear combination of age, serum creatinine, sex and allometrically scaled body weight. Monte Carlo simulation demonstrated that maintenance doses >4500 mg/day were not required to achieve pharmacodynamic AUC targets in obese and super obese patients at clinically relevant values of CLV.
Conclusions: Empirical vancomycin dosing informed by common clinical variables, including standardized creatinine, with subsequent individualization using AUC-targeted TDM can optimize therapy in obese and super obese adults.
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http://dx.doi.org/10.1093/jac/dky310 | DOI Listing |
Introduction And Objective: As thresholds for the diagnosis of gestational diabetes mellitus (GDM) become lower, and the prevalence of obesity in society rises, more pregnant women will be diagnosed with GDM and hypertension. Both conditions hold dangers for mother and baby. Our objective was to properly describe this association.
View Article and Find Full Text PDFAnn Neurosci
January 2025
Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, Delhi, India.
Background: Studies suggest that obesity predisposes individuals to developing cognitive dysfunction and an increased risk of dementia, but the nature of the relationship remains largely unexplored for better prognostic predictors.
Purpose: This study, the first of its kind in Indian participants with obesity, was intended to explore the use of quantification of different neurocognitive indices with increasing body mass index (BMI) among middle-aged participants with obesity. Additionally, machine-learning models were used to analyse the predictive performance of BMI for different cognitive functions.
Respir Med
January 2025
Hospital Universitario Virgen de la Victoria, Málaga, Spain. Electronic address:
Background: The ORBE II study showed the real-world effectiveness of benralizumab in severe eosinophilic asthma (SEA). This subgroup analysis aimed to characterize patients and outcomes based on baseline blood eosinophil count (BEC) and/or fractional exhaled nitric oxide (FeNO) levels.
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J Metab Bariatr Surg
December 2024
Department of General Surgery, Calderdale and Huddersfield NHS Foundation Trust, Huddersfield, Yorkshire, United Kingdom.
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Langenbecks Arch Surg
January 2025
Faculty of Medicine Training and Research Hospital, Department of Gastrointestinal Surgery, Sakarya University, Sakarya, Turkey.
Background: Obesity is a growing health issue that contributes to numerous diseases and lowers quality of life. In patients with super obesity (BMI > 50 kg/m²), bariatric surgery, particularly laparoscopic sleeve gastrectomy (LSG), is a common treatment option. However, the role of antral resection (AR) in LSG remains unclear, especially in this high-risk population.
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