Intrainfusion Drug Monitoring and Algorithm-Based Dose Adjustments for Children With ALL Receiving High-Dose

Karol Acevedo1, Gabriela Soto1, Mary C Shapiro2,3

  • 1Hematology Department, Hospital Nacional de Niños, Dr Carlos Sáenz Herrera, Caja Costarricense de Seguro Social, San José, Costa Rica.

JCO Global Oncology
|March 7, 2025
PubMed

Insights

High-dose methotrexate (HDMTX) infusions for pediatric precursor B-cell ALL are now safely administered in low-resource settings. An algorithm-based protocol individualizes HDMTX, preventing toxicity and improving patient outcomes.

Area of Science:

  • Pediatric Oncology
  • Pharmacokinetics
  • Clinical Pharmacology

Background:

  • High-dose methotrexate (HDMTX) at 5 g/m² is crucial for treating pediatric high-risk precursor B-cell acute lymphoblastic leukemia (ALL).
  • Limited resources in low- and middle-income countries (LMICs) often prevent the administration of HDMTX due to intensive monitoring and toxicity support costs.

Purpose of the Study:

  • To report the first experience of implementing an algorithm-based individualized HDMTX protocol in a public hospital in Costa Rica (HNN).
  • To assess the feasibility and safety of providing HDMTX in an LMIC setting.

Main Methods:

  • An algorithm-based protocol was developed to individualize HDMTX infusions by monitoring methotrexate levels at 2 and 6-8 hours.
  • Infusion rates were adjusted downward based on predicted end-infusion concentrations to prevent toxicity.

Main Results:

  • 196 infusions were administered to 52 pediatric patients between 2017 and 2019.
  • Rate adjustments were needed in 24.6% of infusions.
  • Significant toxicities (≥grade 3) were rare: 0.5% acute kidney injury, 1% neurotoxicity, 4.8% mucositis, and 24.6% neutropenia. No grade ≥4 toxicities occurred.

Conclusions:

  • Real-time, algorithm-based individualized HDMTX infusion is a practical and safe method for LMICs.
  • This approach enables the delivery of essential, high-dose chemotherapy in resource-limited environments.
Abstract