Related Experiment Video
Updated: May 9, 2025

Ovarian Cancer Patient-Derived Organoid Models for Pre-Clinical Drug Testing
Published on: September 15, 2023
Pharmacokinetic Study of Carboplatin Using Various Overweight-Correcting Dosing Algorithms and Biomarkers in Patients
Mart P Kicken1,2,3, Corine Bethlehem1,4, Karin Beunen5
1Department of Clinical Pharmacy, Rijnstate Hospital, Arnhem, the Netherlands.
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.
More Related Videos
Related Concept Videos
Nonlinear Pharmacokinetics: Overview
Nonlinearity can arise due to the saturation of plasma protein-binding or...
Analysis of Population Pharmacokinetic Data
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...

