Accessibility settings

Published on in Vol 10, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29458, first published .
Using Electronic Health Records for Personalized Dosing of Intravenous Vancomycin in Critically Ill Neonates: Model and Web-Based Interface Development Study

Using Electronic Health Records for Personalized Dosing of Intravenous Vancomycin in Critically Ill Neonates: Model and Web-Based Interface Development Study

Using Electronic Health Records for Personalized Dosing of Intravenous Vancomycin in Critically Ill Neonates: Model and Web-Based Interface Development Study

Journals

  1. Blouin M, Métras M, El Hassani M, Yaliniz A, Marsot A. Optimization of Vancomycin Initial Dosing Regimen in Neonates Using an Externally Evaluated Population Pharmacokinetic Model. Therapeutic Drug Monitoring 2024;46(6):744 View
  2. Blouin M, Métras M, Gaudreault C, Dubé M, Boulanger M, Cloutier K, El Hassani M, Yaliniz A, Viel‐Thériault I, Marsot A. External evaluation of neonatal vancomycin population pharmacokinetic models: Moving from first‐order equations to Bayesian‐guided therapeutic monitoring. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy 2024;44(12):907 View
  3. Hu T, Ding X, Han F, An Z. Machine learning approach for personalized vancomycin steady-state trough concentration prediction: a superior approach over Bayesian population pharmacokinetic model. Frontiers in Pharmacology 2025;16 View
  4. El Hassani M, Blouin M, Dong Nguyen V, Duong A, Marsot A. A simulation study to assess the influence of population pharmacokinetic model selection on Bayesian forecasting of vancomycin exposure in preterm neonates. Expert Review of Clinical Pharmacology 2026;19(3):275 View
  5. Vander Elst Z, Spiessens P, Vanneste D, Dia N, Gijsen M, Spriet I, Allegaert K, Dreesen E, Smits A. Systematic review and scoring‐based selection of pharmacokinetic models for precision dosing of vancomycin in neonates and children. British Journal of Clinical Pharmacology 2026 View