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ORIGINAL RESEARCH article

Front. Pharmacol.

Sec. Renal Pharmacology

Volume 16 - 2025 | doi: 10.3389/fphar.2025.1669990

Optimization of Gabapentin Dosage in Pediatric Patients with Renal Impairment: A Physiologically Based Pharmacokinetic Modeling Approach

Provisionally accepted
  • 1Chengdu Third People's Hospital, Chengdu, China
  • 2West China Hospital of Sichuan University, Chengdu, China
  • 3Sichuan Academy of Medical Sciences and Sichuan People's Hospital, Chengdu, China

The final, formatted version of the article will be published soon.

Background: Gabapentin (GAB) is an adjunctive antiepileptic drug widely used in pediatric patients. However, little is known about its pharmacokinetics in pediatric patients under 3 years old or with renal impairment (RI). To address this, we developed a physiologically based pharmacokinetic (PBPK) model for precise dosing guidance. Methods: A PBPK model for GAB was first developed in healthy adults using PK-Sim® and then extended to pediatric populations, accounting for age-related physiological changes. For RI simulations, reduced glomerular filtration and tubular secretion were incorporated based on adult RI models. Results: The PBPK model accurately predicted GAB exposure in adults and children after single and multiple administration (geometric mean fold error <2). Plasma concentrations and PK parameters were similar in children under 3 years old and those aged 3-12. In pediatric RI patients under 12 years old, AUC0- ∞increased to 2.09-, 3.30-, and 31.67-fold for mild, moderate, and severe RI, respectively, compared to healthy children. Dosing frequency was adjusted to bid (mild RI), qd (moderate RI), and qod (severe RI), with an additional 50% dose reduction for severe RI. Conclusions: PBPK models provide better guidance for GAB dosing in pediatric patients with varying RI degrees, laying a foundation for precision therapy. This study is a significant step in optimizing GAB treatment for this high-risk pediatric population.

Keywords: gabapentin, pediatric, renal impairment, Physiologically based pharmacokinetic, Dose adjustment

Received: 21 Jul 2025; Accepted: 09 Sep 2025.

Copyright: © 2025 QIN, Shen, Li and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Xiaoli QIN, Chengdu Third People's Hospital, Chengdu, China
Yujie Yang, Chengdu Third People's Hospital, Chengdu, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.