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Euteneuer JC, Kamatkar S, Fukuda T, Vinks AA, Akinbi HT. Suggestions for Model-Informed Precision Dosing to Optimize Neonatal Drug Therapy. J Clin Pharmacol 2018; 59:168-176. [PMID: 30204236 DOI: 10.1002/jcph.1315] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 08/17/2018] [Indexed: 12/19/2022]
Abstract
Evidence for dosing, efficacy, and safety of most medications used to treat neonates is sparse. Thus, dosing is usually derived by extrapolation from adult and pediatric pharmacologic data with scaling by body weight or body surface area. This may lead to drug dosing that is unsafe or ineffective. However, new strategies are being developed and studied to dose medications in critically ill neonates. Mass spectroscopy technology capable of quickly analyzing drug levels is readily available. Software that integrates population pharmacokinetics and pharmacodynamics with data from sparse samples from neonates allows for timely adjustments of dosing to achieve the desired effect while minimizing adverse outcomes. Some genetic polymorphisms that affect drug response in neonates have also been reported. This review highlights aspects of drug response and how it is impacted by prematurity, assesses pharmacogenomic studies in neonates, and offers suggestions for innovative pharmacokinetic/pharmacodynamic model-based approaches that combine population- or physiology-based pharmacology data, Bayesian analysis, and electronic decision support tools for precision dosing in neonates while illustrating examples where this approach can be used to optimize medical therapy in neonates. Barriers to implementing precision dosing in neonates and how to overcome them are also discussed.
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Affiliation(s)
- Joshua C Euteneuer
- Department of Pediatrics, University of Nebraska Medical Center, Omaha, NE, USA.,Perinatal Institute, Division of Neonatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Suyog Kamatkar
- Perinatal Institute, Division of Neonatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Tsuyoshi Fukuda
- Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Alexander A Vinks
- Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Henry T Akinbi
- Perinatal Institute, Division of Neonatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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Li W, Doherty J, Fu Y, Flarakos J. Quantitative analysis of clofazimine (Lamprene®), an antileprosy agent, in human dried blood spots using liquid chromatography-tandem mass spectrometry. Biomed Chromatogr 2017; 32. [PMID: 28833263 DOI: 10.1002/bmc.4068] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2017] [Revised: 08/03/2017] [Accepted: 08/14/2017] [Indexed: 11/08/2022]
Abstract
An LC-MS/MS method was developed and validated for bioanalysis of clofazimine in human dried blood spot (DBS) samples in support of a clinical study on multidrug-resistant tuberculosis in developing countries. The validated assay dynamic range was from 10.0 to 2000 ng/mL using a 1/8 inch DBS punch. The accuracy and precision of the assay were ±11.0% (bias) and ≤13.5% (CV) for the LLOQs (10.0 ng/mL) and ±15% (bias) and ≤15% (CV) for all other QC levels. The assay was proved to be free from the possible impact owing to spot size and storage temperature (e.g. at 60°C, ≤ - 60°C). The validated assay is well suited for the intended clinical study where conventional pharmacokinetic sample collection is not feasible.
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Affiliation(s)
- Wenkui Li
- Department of Pharmacokinetic Sciences, Novartis Institutes for BioMedical Research, East Hanover, New Jersey, USA
| | - John Doherty
- Department of Pharmacokinetic Sciences, Novartis Institutes for BioMedical Research, East Hanover, New Jersey, USA
| | - Yunlin Fu
- Department of Pharmacokinetic Sciences, Novartis Institutes for BioMedical Research, East Hanover, New Jersey, USA
| | - Jimmy Flarakos
- Department of Pharmacokinetic Sciences, Novartis Institutes for BioMedical Research, East Hanover, New Jersey, USA
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Self-sampling and quantitative analysis of DBS: can it shift the balance in over-burdened healthcare systems? Bioanalysis 2015; 7:1963-6. [DOI: 10.4155/bio.15.110] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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