ArticleBritish journal of anaesthesia2025
Evaluation of the need for dosing adaptations in obese patients for surgical antibiotic prophylaxis: a model-based analysis of cefazolin pharmacokinetics.
Article in British journal of anaesthesia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Weight-based dosing of surgical antibiotic prophylaxis in patients with obesity: meta-analysis.BJS open · 2025Pooled it
- Infectious Complications in Metabolic and Bariatric Surgery: A Comprehensive Narrative Review of Pathophysiology, Prevention, and Management.Life (Basel, Switzerland) · 2026Review
- Pharmacokinetics of cefazolin in bariatric surgery patients: a preoperative perspective.The Journal of antimicrobial chemotherapy · 2026Observational
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Authors and funding
11 authors.
Funding
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Abstract
backgroundCefazolin is used as a prophylactic antibiotic to reduce surgical site infections (SSIs). Obesity has been identified as a risk factor for SSIs. Cefazolin dosing recommendations and guidelines are currently inconsistent for obese patients. As plasma and target-site exposure might differ, pharmacokinetic data from the sites of SSIs are essential to evaluate treatment efficacy: these data can be obtained via tissue microdialysis. This analysis was designed to evaluate the need for dosing adaptations in obese patients for surgical prophylaxis.
methodsData from 15 obese (BMI
resultsEvaluation of cefazolin doses of 1 and 2 g with redosing at either 3 or 4 h by PTA and CFR in plasma and ISF found 2 g cefazolin with redosing at 4 h to be the most suitable dosing regimen for both obese and nonobese patients (PTA >90% and CFR >90% for both).
conclusionsThis model-based analysis, using fT
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