Abstract
PURPOSE: Pemetrexed is a widely used cytostatic agent with an established exposure-response relationship. Although dosing is based on body surface area (BSA), large interindividual variability in pemetrexed plasma concentrations is observed. Therapeutic drug monitoring (TDM) can be a feasible strategy to reduce variability in specific cases leading to potentially optimized pemetrexed treatment. The aim of this study was to develop a limited sampling schedule (LSS) for the assessment of pemetrexed pharmacokinetics.
METHODS: Based on two real-life datasets, several limited sampling designs were evaluated on predicting clearance, using NONMEM, based on mean prediction error (MPE %) and normalized root mean squared error (NRMSE %). The predefined criteria for an acceptable LSS were: a maximum of four sampling time points within 8 h with an MPE and NRMSE ≤ 20%.
RESULTS: For an accurate estimation of clearance, only four samples in a convenient window of 8 h were required for accurate and precise prediction (MPE and NRMSE of 3.6% and 5.7% for dataset 1 and of 15.5% and 16.5% for dataset 2). A single sample at t = 24 h performed also within the criteria with MPE and NRMSE of 5.8% and 8.7% for dataset 1 and of 11.5% and 16.4% for dataset 2. Bias increased when patients had lower creatinine clearance.
CONCLUSIONS: We presented two limited sampling designs for estimation of pemetrexed pharmacokinetics. Either one can be used based on preference and feasibility.
| Original language | English |
|---|---|
| Pages (from-to) | 231-235 |
| Number of pages | 5 |
| Journal | Cancer chemotherapy and pharmacology |
| Volume | 85 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2020 |
| Externally published | Yes |
Keywords
- Adult
- Aged
- Antineoplastic Agents/pharmacokinetics
- Creatinine/blood
- Drug Monitoring/methods
- Female
- Follow-Up Studies
- Humans
- Kidney Function Tests
- Kidney/metabolism
- Male
- Middle Aged
- Neoplasms/drug therapy
- Pemetrexed/pharmacokinetics
- Precision Medicine
- Prognosis
- Tissue Distribution
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