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Hydroxyurea pharmacokinetics and precision dosing in low-resource settings.
Smart, Luke R; Charles, Mwesige; McElhinney, Kathryn E; Dong, Min; Power-Hays, Alexandra; Howard, Thad; Vinks, Alexander A; Ambrose, Emmanuela E; Ware, Russell E.
Afiliación
  • Smart LR; Division of Hematology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
  • Charles M; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
  • McElhinney KE; Global Health Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
  • Dong M; Department of Laboratory Sciences, Bugando Medical Centre, Mwanza, Tanzania.
  • Power-Hays A; Division of Hematology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
  • Howard T; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
  • Vinks AA; Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
  • Ambrose EE; Division of Hematology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
  • Ware RE; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States.
Front Mol Biosci ; 10: 1130206, 2023.
Article en En | MEDLINE | ID: mdl-37325474
ABSTRACT

Introduction:

Hydroxyurea is effective disease-modifying treatment for sickle cell anemia (SCA). Escalation to maximum tolerated dose (MTD) achieves superior benefits without additional toxicities, but requires dose adjustments with serial monitoring. Pharmacokinetic (PK)-guided dosing can predict a personalized optimal dose, which approximates MTD and requires fewer clinical visits, laboratory assessments, and dose adjustments. However, PK-guided dosing requires complex analytical techniques unavailable in low-resource settings. Simplified hydroxyurea PK analysis could optimize dosing and increase access to treatment.

Methods:

Concentrated stock solutions of reagents for chemical detection of serum hydroxyurea using HPLC were prepared and stored at -80C. On the day of analysis, hydroxyurea was serially diluted in human serum, then spiked with N-methylurea as an internal standard and analyzed using two commercial HPLC machines 1) standard benchtop Agilent with 449 nm detector and 5 micron C18 column; and 2) portable PolyLC with 415 nm detector and 3.5 micron C18 column. After validation in the United States, the portable HPLC and chemicals were transported to Tanzania.

Results:

A calibration curve using hydroxyurea 2-fold dilutions ranging from 0 to 1000 µM was plotted against the hydroxyureaN-methylurea ratio. In the United States, both HPLC systems yielded calibration curves with R2 > 0.99. Hydroxyurea prepared at known concentrations confirmed accuracy and precision within 10%-20% of the actual values. Both HPLC systems measured hydroxyurea with <10% variance from the prepared concentrations, and paired analysis of samples on both machines documented <15% variance. Serial measurements of 300 and 100 µM concentrations using the PolyLC system were precise with 2.5% coefficient of variance. After transport to Tanzania with setup and training, the modified PolyLC HPLC system produced similar calibration curves with R2 > 0.99.

Conclusion:

Increasing access to hydroxyurea for people with SCA requires an approach that eases financial and logistical barriers while optimizing safety and benefits, especially in low-resource settings. We successfully modified a portable HPLC instrument to quantify hydroxyurea, validated its precision and accuracy, and confirmed capacity building and knowledge transfer to Tanzania. HPLC measurement of serum hydroxyurea is now feasible in low-resource settings using available laboratory infrastructure. PK-guided dosing of hydroxyurea will be tested prospectively to achieve optimal treatment responses.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Mol Biosci Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Front Mol Biosci Año: 2023 Tipo del documento: Article