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Pharmacokinetic Study of Carboplatin Using Various Overweight-Correcting Dosing Algorithms and Biomarkers in Patients With Varying BMI Categories

  • Mart P. Kicken*
  • , Corine Bethlehem
  • , Karin Beunen
  • , Peter de Jong
  • , Theo van Voorthuizen
  • , Jeanine J. van den Hudding
  • , Dirk-Jan A. R. Moes
  • , Matthijs van Luin
  • , Rob ter Heine
  • , Hans J. M. Smit
  • , P. Margreet G. Filius
  • , Maarten J. Deenen
  • *Corresponding author for this work
  • Rijnstate Hospital
  • Catharina Hospital
  • Radboud University Nijmegen
  • Erasmus University Rotterdam
  • Leiden University
  • Meander Medical Center

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

Background: – The Cockcroft–Gault (CG) formula is more likely to overestimate renal function and carboplatin dosing in patients who are overweight. In this prospective pharmacokinetic study, the use of an adjusted Cockcroft–Gault formula (aCG) was evaluated to correct for overweight status.Methods: – aCG was adjusted in patients with body mass index (BMI) >25 kg/m 2 using adjusted ideal body weight, capping low serum creatinine values at 60 μmol/L, and high creatinine clearance values at 125 mL/min. Patients were categorized as follows: BMI <25.0 (normal weight), 25.0–29.9 (overweight), and ≥30.0 kg/m 2 (obese). To assess the pharmacokinetics, blood samples were collected and carboplatin ultrafiltrate concentrations were analyzed. Exposure was estimated using a population pharmacokinetic model and compared with the target area under the curve (AUC) regarding bias mean prediction error (MPE%) and imprecision mean absolute prediction error (MAPE%). In addition, substitutes for renal function, including weight descriptors, cystatin C, 24-hour creatinine clearance, and glomerular filtration rate estimators, were compared.Results: – Eighteen patients were included in this study. aCG slightly underestimated individual carboplatin clearance across all weight groups, with the highest deviation in patients who had obesity (MPE%: −10.5%) versus +8.8% using CG. aCG underestimated −5.7% in patients with a normal weight and overestimated by +1.1% in those who were overweight, compared with −4.2% and +2.8%, respectively, using CG. The most accurate predictor of the target AUC for all weight categories was cystatin C (MPE%: +0.2%, −2.0%, and −0.1% for patients with a normal weight, those who were overweight, and those who had obesity, respectively) with low imprecision (MAPE%: 9.8%, 9.5%, and 13.3%, respectively).Conclusions: – This study did not find evidence to support using aCG to predict carboplatin clearance better than CG. However, cystatin C was found to be the most precise and accurate biomarker for carboplatin clearance.

Original languageEnglish
Article number10.1097/FTD.0000000000001328
Pages (from-to)730-739
Number of pages10
JournalTherapeutic Drug Monitoring
Volume47
Issue number6
DOIs
Publication statusPublished - Dec 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
Copyright © 2025 The Author(s). Published by Wolters Kluwer Health, Inc.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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