Literature DB >> 33975823

Novel strategy to personalise use of ibuprofen for closure of patent ductus arteriosus in preterm neonates.

Samira Samiee-Zafarghandy1, Tamara van Donge2, Cornelis Smit3, John Van Den Anker4,5, Gerhard Fusch6, Marc Pfister3, George Jacob6, Andrew Atkinson7, Michael J Rieder8.   

Abstract

OBJECTIVE: Exploration of a novel therapeutic drug monitoring (TDM) strategy to personalise use of ibuprofen for closure of patent ductus arteriosus (PDA) in preterm neonates.
DESIGN: Prospective, single-centre, open-label, pharmacokinetics study in preterm neonates.
SETTING: Neonatal intensive care unit at McMaster Children's Hospital. PATIENTS: Neonates with a gestational age ≤28+6 weeks treated with oral ibuprofen for closure of a PDA.
METHODS: Population pharmacokinetic parameters, concentration-time profiles and exposure metrics were obtained using pharmacometric modelling and simulation. MAIN OUTCOME MEASURE: Association between ibuprofen plasma concentrations measured at various sampling time points on the first day of treatment and attainment of the target exposure over the first 3 days of treatment (AUC0-72h >900 mg·hour/L).
RESULTS: Twenty-three preterm neonates (median birth weight 780 g and gestational age 25.9 weeks) were included, yielding 155 plasma ibuprofen plasma samples. Starting from 8 hours' postdose on the first day, a strong correlation between ibuprofen concentrations and AUC0-72h was observed. At 8 hours after the first dose, an ibuprofen concentration >20.5 mg/L was associated with a 90% probability of reaching the target exposure.
CONCLUSION: We designed a novel and practical TDM strategy and have shown that the chance of reaching the target exposure (AUC0-72h >900 mg·hour/L) can be predicted with a single sample collection on the first day of treatment. This newly acquired knowledge can be leveraged to personalise ibuprofen dosing regimens and improve the efficacy of ibuprofen use for pharmacological closure of a PDA. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

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Keywords:  neonatology; pharmacology

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Year:  2021        PMID: 33975823     DOI: 10.1136/archdischild-2020-321381

Source DB:  PubMed          Journal:  Arch Dis Child        ISSN: 0003-9888            Impact factor:   3.791


  1 in total

1.  Leveraging Predictive Pharmacometrics-Based Algorithms to Enhance Perinatal Care-Application to Neonatal Jaundice.

Authors:  Gilbert Koch; Melanie Wilbaux; Severin Kasser; Kai Schumacher; Britta Steffens; Sven Wellmann; Marc Pfister
Journal:  Front Pharmacol       Date:  2022-08-11       Impact factor: 5.988

  1 in total

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