ArticleBMC pharmacology & toxicology2020
Prediction of lisinopril pediatric dose from the reference adult dose by employing a physiologically based pharmacokinetic model.
Article in BMC pharmacology & toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Physiologically Based Pharmacokinetic Modeling in Neonates: Current Status and Future Perspectives.Pharmaceutics · 2023Review
- Pediatric oncology drug development and dosage optimization.Frontiers in oncology · 2023Review
- Predicting the correct dose in children: Role of computational Pediatric Physiological-based pharmacokinetics modeling tools.CPT: pharmacometrics & systems pharmacology · 2023Review
- Prediction of pediatric dose of tirzepatide from the reference adult dose using physiologically based pharmacokinetic modelling.Frontiers in pharmacology · 2023Article
- A comparison of different methods for the first-in-pediatric dose selection.Journal of clinical and translational research · 2022Article
- Prediction of CYP-mediated silybin A-losartan pharmacokinetic interactions using physiological based pharmacokinetic modeling.Journal of pharmacokinetics and pharmacodynamics · 2022Article
- Physiologically Based Pharmacokinetic Models Are Effective Support for Pediatric Drug Development.AAPS PharmSciTech · 2021Review
- Development and In Vitro Evaluation of Controlled Release ViagraPharmaceuticals (Basel, Switzerland) · 2021Article
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Authors and funding
8 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to assess the pediatric lisinopril doses using an adult physiological based pharmacokinetic (PBPK) model. As the empirical rules of dose calculation cannot calculate gender-specific pediatric doses and ignores the age-related physiological differences.
methodsA PBPK model of lisinopril for the healthy adult population was developed for oral (fed and fasting) and IV administration using PK-Sim MoBI® and was scaled down to a virtual pediatric population for prediction of lisinopril doses in neonates to infants, infants to toddler, children at pre-school age, children at school age and the adolescents. The pharmacokinetic parameters were predicted for the above groups at decremental doses of 20 mg, 10 mg, 5 mg, 2.5 mg, and 1.5 mg in order to accomplish doses producing the pharmacokinetic parameters, similar (or comparable) to that of the adult population. The above simulated pediatric doses were compared to the doses computed using the conventional four methods, such as Young's rule, Clark's rule, and weight-based and body surface area-based equations and the dose reported in different studies.
resultsThough the doses predicted for all subpopulations of children were comparable to those calculated by Young's rule, yet the conventional methods overestimated the pediatric doses when compared to the respective PBPK-predicted doses. The findings of previous real time pharmacokinetic studies in pediatric patients supported the present simulated dose.
conclusionThus, PBPK seems to have predictability potential for pediatric dose since it takes into consideration the physiological changes related to age and gender.
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