Development of a Therapeutic Drug Monitoring Strategy for the Optimization of Vincristine Treatment in Pediatric Oncology Populations in Africa

Author:

Van der Heijden Lisa T.12,Nijstad A. Laura34,Uittenboogaard Aniek5,Beijnen Jos H.126,Dorlo Thomas P.C.127,Kaspers Gertjan J.L.589,Huitema Alwin D.R.1234

Affiliation:

1. Department of Pharmacy and Pharmacology, Antoni van Leeuwenhoek/The Netherlands Cancer Institute, Amsterdam, the Netherlands;

2. Division of Pharmacology, Antoni van Leeuwenhoek/The Netherlands Cancer Institute, Amsterdam, the Netherlands;

3. Department of Clinical Pharmacy, Division Laboratories, Pharmacy and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands;

4. Department of Pharmacology, Princess Maxima Center, Utrecht, the Netherlands.

5. Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Paediatric Oncology, Amsterdam, the Netherlands;

6. Division of Pharmaco-epidemiology and Clinical Pharmacology, Faculty of Science, Department of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands;

7. Department of Pharmacy, Uppsala University, Sweden;

8. Dutch Childhood Oncology Group, Utrecht, the Netherlands;

9. Princess Maxima Center for Pediatric Oncology, Utrecht, the Netherlands; and

Abstract

Background: Recent studies have reported ethnic differences in vincristine exposure and outcomes such as toxicity. This resulted in the hypothesis of subtherapeutic dosing in African children. To optimize individual treatment, a strategy to identify subtherapeutic exposure using therapeutic drug monitoring is essential. The aim of the current study was to develop a strategy for therapeutic drug monitoring of vincristine in African children to meet the following criteria: (1) identify patients with low vincristine exposure with sufficient sensitivity (>70%), (2) determine vincristine exposure with a limited sampling strategy design of 3 samples, and (3) allow all samples to be collected within 4 hours after administration. Methods: An in silico simulation study was performed using a previously described population pharmacokinetic model and real-life demographic dataset of Kenyan and Malawian pediatric oncology patients. Two different therapeutic drug monitoring strategies were evaluated: (1) Bayesian approach and (2) pharmacometric nomogram. The sampling design was optimized using the constraints described above. Sensitivity analysis was performed to investigate the influence of missing samples, erroneous sampling times, and different boundaries on the nomogram weight bands. Results: With the Bayesian approach, 43.3% of the estimated individual exposure values had a prediction error of ≥20% owing to extremely high shrinkage. The Bayesian approach did not improve with alternative sampling designs within sampling constraints. However, the pharmacometric nomogram could identify patients with low vincristine exposure with a sensitivity, specificity, and accuracy of 75.1%, 76.4%, and 75.9%, respectively. The pharmacometric nomogram performed similarly for different weight bands. Conclusions: The pharmacometric nomogram was able to identify patients with low vincristine exposure with high sensitivity, with 3 blood samples collected at 1, 1.5, and 4 hours after administration. Missing samples should be avoided, and the 3 scheduled samples should be collected within 15, 5, and 15 minutes of 1, 1.5, and 4 hours after administration, respectively.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Pharmacology (medical),Pharmacology

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