volume 117 issue 5 pages 1254-1263

Pharmacokinetic Modeling and Model‐Based Hypothesis Generation for Dose Optimization of Clonidine in Neonates With Neonatal Opioid Withdrawal Syndrome

Fei Tang 1
Chee M. Ng 2
Jamie Horn 3
Henrietta S. Bada 4
Markos Leggas 3
1
 
Genentech, Inc. South San Francisco California USA
2
 
NewGround Pharmaceutical Consulting LLC Foster City California USA
Publication typeJournal Article
Publication date2024-11-22
scimago Q1
wos Q1
SJR2.127
CiteScore11.7
Impact factor5.5
ISSN00099236, 15326535
PubMed ID:  39575611
Abstract

The No‐POPPY study (NCT03396588), a double‐blind, randomized trial compared morphine with clonidine therapy for neonatal opioid withdrawal syndrome (NOWS) and found that the duration of treatment was similar across groups. This is significant because perinatal use of morphine has the potential for neurodevelopmental consequences. Still, the clonidine group reached symptom stabilization (Finnegan score (FS) < 8) later than the morphine group and had a more significant number of patients who required adjunct therapy. However, the mean FS was consistently lower in the clonidine group after day 6. This prompted us to use pharmacokinetic (PK) and parametric time‐to‐event (TTE) modeling to simulate dosage schedules that may decrease the time to stabilization and reduce the need for adjunct therapy. Population PK (popPK) analysis was conducted, and the final model was a one‐compartment model with first‐order absorption and elimination, incorporating allometric scaling and age effect on apparent clearance (CL/F) and apparent volume (V/F). The population estimates for CL/F and V/F were 13.6 L/h/70 kg and 416 L/70 kg, respectively, similar to the reported values. A Weibull model described the TTE data best, followed by incorporating predicted average concentrations to yield the final Weibull accelerated failure time model. Simulations of dosing strategies showed that increasing both the starting and maximum doses could potentially shorten the time to stabilization, and thus, length of treatment and hospital stay. Given the hypothesis‐generating nature of this analysis, the recommended dosing regimens should be tested prospectively to evaluate their benefits.

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Tang F. et al. Pharmacokinetic Modeling and Model‐Based Hypothesis Generation for Dose Optimization of Clonidine in Neonates With Neonatal Opioid Withdrawal Syndrome // Clinical Pharmacology and Therapeutics. 2024. Vol. 117. No. 5. pp. 1254-1263.
GOST all authors (up to 50) Copy
Tang F., Ng C. M., Horn J., Bada H. S., Leggas M. Pharmacokinetic Modeling and Model‐Based Hypothesis Generation for Dose Optimization of Clonidine in Neonates With Neonatal Opioid Withdrawal Syndrome // Clinical Pharmacology and Therapeutics. 2024. Vol. 117. No. 5. pp. 1254-1263.
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TY - JOUR
DO - 10.1002/cpt.3507
UR - https://ascpt.onlinelibrary.wiley.com/doi/10.1002/cpt.3507
TI - Pharmacokinetic Modeling and Model‐Based Hypothesis Generation for Dose Optimization of Clonidine in Neonates With Neonatal Opioid Withdrawal Syndrome
T2 - Clinical Pharmacology and Therapeutics
AU - Tang, Fei
AU - Ng, Chee M.
AU - Horn, Jamie
AU - Bada, Henrietta S.
AU - Leggas, Markos
PY - 2024
DA - 2024/11/22
PB - Wiley
SP - 1254-1263
IS - 5
VL - 117
PMID - 39575611
SN - 0009-9236
SN - 1532-6535
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Tang,
author = {Fei Tang and Chee M. Ng and Jamie Horn and Henrietta S. Bada and Markos Leggas},
title = {Pharmacokinetic Modeling and Model‐Based Hypothesis Generation for Dose Optimization of Clonidine in Neonates With Neonatal Opioid Withdrawal Syndrome},
journal = {Clinical Pharmacology and Therapeutics},
year = {2024},
volume = {117},
publisher = {Wiley},
month = {nov},
url = {https://ascpt.onlinelibrary.wiley.com/doi/10.1002/cpt.3507},
number = {5},
pages = {1254--1263},
doi = {10.1002/cpt.3507}
}
MLA
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Tang, Fei, et al. “Pharmacokinetic Modeling and Model‐Based Hypothesis Generation for Dose Optimization of Clonidine in Neonates With Neonatal Opioid Withdrawal Syndrome.” Clinical Pharmacology and Therapeutics, vol. 117, no. 5, Nov. 2024, pp. 1254-1263. https://ascpt.onlinelibrary.wiley.com/doi/10.1002/cpt.3507.