| Literature DB >> 23662203 |
Ian Adatia1, Sheila G Haworth, Max Wegner, Robyn J Barst, Dunbar Ivy, Kurt R Stenmark, Abraham Karkowsky, Erika Rosenzweig, Christopher Aguilar.
Abstract
Drug trials in neonates and children with pulmonary hypertensive vascular disease pose unique but not insurmountable challenges. Childhood is defined by growth and development. Both may influence disease and outcomes of drug trials. The developing pulmonary vascular bed and airways may be subjected to maldevelopment, maladaptation, growth arrest, or dysregulation that influence the disease phenotype. Drug therapy is influenced by developmental changes in renal and hepatic blood flow, as well as in metabolic systems such as cytochrome P450. Drugs may affect children differently from adults, with different clearance, therapeutic levels and toxicities. Toxicity may not be manifested until the child reaches physical, endocrine and neurodevelopmental maturity. Adverse effects may be revealed in the next generation, should the development of ova or spermatozoa be affected. Consideration of safe, age-appropriate tablets and liquid formulations is an obvious but often neglected prerequisite to any pediatric drug trial. In designing a clinical trial, precise phenotyping and genotyping of disease is required to ensure appropriate and accurate inclusion and exclusion criteria. We need to explore physiologically based pharmacokinetic modeling and simulations together with statistical techniques to reduce sample size requirements. Clinical endpoints such as exercise capacity, using traditional classifications and testing cannot be applied routinely to children. Many lack the necessary neurodevelopmental skills and equipment may not be appropriate for use in children. Selection of endpoints appropriate to encompass the developmental spectrum from neonate to adolescent is particularly challenging. One possible solution is the development of composite outcome scores that include age and a developmentally specific functional classification, growth and development scores, exercise data, biomarkers and hemodynamics with repeated evaluation throughout the period of growth and development. In addition, although potentially costly, we recommend long-term continuation of blinded dose ranging after completion of the short-term, double-blind, placebo-controlled trial for side-effect surveillance, which should include neurodevelopmental and peripubertal monitoring. The search for robust evidence to guide safe therapy of children and neonates with pulmonary hypertensive vascular disease is a crucial and necessary goal.Entities:
Keywords: drug toxicity; pediatrics; pulmonary arterial hypertension; pulmonary hypertension with increased pulmonary vascular resistance; pulmonary vascular disease
Year: 2013 PMID: 23662203 PMCID: PMC3641736 DOI: 10.4103/2045-8932.109931
Source DB: PubMed Journal: Pulm Circ ISSN: 2045-8932 Impact factor: 3.017
Figure 1Venn diagram illustrating the heterogeneity and multifactorial elements in pediatric pulmonary hypertensive vascular disease. Originally from reference[85] with permission.
The broad schema of 10 basic categories of Pediatric Pulmonary Hypertensive Vascular Disease
Figure 2Illustration of the concept for building a physiologically based pharmacokinetic model modified according to Willmann et al. (2003). (A) Organisms, for example, human beings of different ages or populations, are the basis for the model. (B) The organism is divided into a number of compartments, each representing a single organ. To describe the distribution of compounds in the body, the organs are connected via their arteries and veins to the arterial and venous blood pool. Inter-compartmental mass transport occurs via organ-specific blood flow rates. The organs are mathematically connected. (C) Division of each organ into three sub-compartments representing the vascular (with blood cells), interstitial and cellular space. The interstitial space is assumed to be in direct contact with the plasma. The exchange of substances between the cellular and interstitial compartment can occur by permeation across theembranes via passive diffusion as well as active influx and efflux transport processes by saturable Michaelis-Menten (MM) kinetics (parameters: Vmax, Km). Metabolization of substances (Meta1, Meta2) occurs via active enzymes (MM kinetics). Finally, the model consists of a large number of coupled differential equations. (D) Output of the model: Concentration time curves for the substances. Shown are simulated and observed ciprofloxacin concentrations in various organs after intravenous application of ciprofloxacin 5 mg/kg to a rat. Originally from references[686] with permission.
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