Selecting the Best Pharmacokinetic Models for a Priori Model-Informed Precision Dosing with Model Ensembling

The best (set of) models per patient for a priori dosage individualization can be identified using a relatively small set of TDM samples as external evaluation. Adequately performing popPK models were identified while also excluding poor-performing models. Dose recommendations resulted in more patients within the therapeutic range for both vancomycin and imatinib. Prospective validation is necessary before clinical implementation.

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Publication Details

Journal
Clinical Pharmacokinetics
Published
2024-09-27
DOI
https://doi.org/10.1007/s40262-024-01425-9
Citations
8
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
5.67
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article

Selecting the Best Pharmacokinetic Models for a Priori Model-Informed Precision Dosing with Model Ensembling

Bram C. Agema, Birgit C. P. Koch, Nielka P. van Erp, Eline L. Giraud et al.
8 citations
Clinical Pharmacokinetics
Statistical Methods in Clinical Trials
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article

Selecting the Best Pharmacokinetic Models for a Priori Model-Informed Precision Dosing with Model Ensembling

Bram C. Agema, Birgit C. P. Koch, Nielka P. van Erp, Eline L. Giraud, Stijn L.W. Koolen, Brenda C. M. de Winter, Ron H.J. Mathijssen, Sebastiaan D. T. Sassen, Ayşenur B Öztürk, Tolra Kocher
article en
8 citations

Abstract

The best (set of) models per patient for a priori dosage individualization can be identified using a relatively small set of TDM samples as external evaluation. Adequately performing popPK models were identified while also excluding poor-performing models. Dose recommendations resulted in more patients within the therapeutic range for both vancomycin and imatinib. Prospective validation is necessary before clinical implementation.

Clinical PharmacokineticsVol. 63(10)
Radboud University Nijmegen (NL), Erasmus MC (NL), Radboud University Medical Center (NL), Erasmus MC Cancer Institute (NL), Erasmus University Rotterdam (NL)
Zero hunger
Openalex Percentile: Top 3%
Statistical Methods in Clinical Trials
5.67
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