TY - JOUR
T1 - Predicting CYP3A-mediated midazolam metabolism in critically ill neonates, infants, children and adults with inflammation and organ failure
AU - Brussee, Janneke M.
AU - Vet, Nienke J.
AU - Krekels, Elke H.J.
AU - Valkenburg, Abraham J.
AU - Jacqz-Aigrain, Evelyne
AU - van Gerven, Joop M.A.
AU - Swart, Eleonora L.
AU - van den Anker, Johannes N.
AU - Tibboel, Dick
AU - de Hoog, Matthijs
AU - de Wildt, Saskia N.
AU - Knibbe, Catherijne A.J.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Aims: Inflammation and organ failure have been reported to have an impact on cytochrome P450 (CYP) 3A-mediated clearance of midazolam in critically ill children. Our aim was to evaluate a previously developed population pharmacokinetic model both in critically ill children and other populations, in order to allow the model to be used to guide dosing in clinical practice. Methods: The model was evaluated externally in 136 individuals, including (pre)term neonates, infants, children and adults (body weight 0.77–90 kg, C-reactive protein level 0.1–341 mg l–1 and 0–4 failing organs) using graphical and numerical diagnostics. Results: The pharmacokinetic model predicted midazolam clearance and plasma concentrations without bias in postoperative or critically ill paediatric patients and term neonates [median prediction error (MPE) <30%]. Using the model for extrapolation resulted in well-predicted clearance values in critically ill and healthy adults (MPE <30%), while clearance in preterm neonates was over predicted (MPE >180%). Conclusion: The recently published pharmacokinetic model for midazolam, quantifying the influence of maturation, inflammation and organ failure in children, yields unbiased clearance predictions and can therefore be used for dosing instructions in term neonates, children and adults with varying levels of critical illness, including healthy adults, but not for extrapolation to preterm neonates.
AB - Aims: Inflammation and organ failure have been reported to have an impact on cytochrome P450 (CYP) 3A-mediated clearance of midazolam in critically ill children. Our aim was to evaluate a previously developed population pharmacokinetic model both in critically ill children and other populations, in order to allow the model to be used to guide dosing in clinical practice. Methods: The model was evaluated externally in 136 individuals, including (pre)term neonates, infants, children and adults (body weight 0.77–90 kg, C-reactive protein level 0.1–341 mg l–1 and 0–4 failing organs) using graphical and numerical diagnostics. Results: The pharmacokinetic model predicted midazolam clearance and plasma concentrations without bias in postoperative or critically ill paediatric patients and term neonates [median prediction error (MPE) <30%]. Using the model for extrapolation resulted in well-predicted clearance values in critically ill and healthy adults (MPE <30%), while clearance in preterm neonates was over predicted (MPE >180%). Conclusion: The recently published pharmacokinetic model for midazolam, quantifying the influence of maturation, inflammation and organ failure in children, yields unbiased clearance predictions and can therefore be used for dosing instructions in term neonates, children and adults with varying levels of critical illness, including healthy adults, but not for extrapolation to preterm neonates.
KW - children
KW - cytochrome P450
KW - drug metabolism
UR - http://www.scopus.com/inward/record.url?scp=85036571877&partnerID=8YFLogxK
U2 - 10.1111/bcp.13459
DO - 10.1111/bcp.13459
M3 - Article
C2 - 29072785
AN - SCOPUS:85036571877
VL - 84
SP - 358
EP - 368
JO - British Journal of Clinical Pharmacology
JF - British Journal of Clinical Pharmacology
SN - 0306-5251
IS - 2
ER -