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Pediatric blood & cancer · 2021

Two-point blood sampling is sufficient and necessary to estimate the area under the concentration-time curve for intravenous busulfan in infants and young children.

СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Utano Tomoyuki, Kato Motohiro, Sakamoto Kenichi, Osumi Tomoo, Matsumoto Kana, Tomizawa Daisuke, Matsumoto Kimikazu, Yamatani Akimasa

Аннотация

BACKGROUND: Therapeutic drug monitoring for busulfan is important to prevent adverse events and improve outcomes in stem cell transplantation. We investigated intravenous busulfan pharmacokinetics and evaluated the utility of limited sampling strategy (LSS) as a simple method to estimate the area under the concentration-time curve (AUC).

PROCEDURE: The study comprised 87 busulfan measurements in 54 children who received intravenous busulfan between August 2015 and May 2020. AUCs were calculated from three to five blood sampling points in each patient, and the correlation between AUC and plasma concentrations (ng/mL) at 1, 2, 3, 4, and 6 h after initiating busulfan infusion (C1 , C2 , C3 , C4 , and C6 , respectively).

RESULTS: By one-point sampling strategy, the most relevant predicted AUC was based on C6 (r2  = 0.789; precision, 11.0%) in all patients. The predicted AUC based on C6 was acceptable (r2  = 0.937; precision, 5.9%) for adolescent patients weighing >23 kg, but the correlation was poor in infants and young children weighing ≤ 23 kg (r2  = 0.782; precision, 11.4%). By two-point sampling strategy, the predicted AUC based on C3 and C6 showed the most relevant concentrations (r2  = 0.943; precision, 6.4%), even in infants and young children, whereas the predicted AUC based on C3 and C6 was acceptable (r2  = 0.963; precision, 5.7%).

CONCLUSIONS: The AUC of busulfan can be predicted based on C6 in adolescent patients. However, there was substantial interindividual variation in busulfan pharmacokinetics in infants and young children, in whom two-point LSS was necessary for accurate AUC prediction.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты