2015
DOI: 10.1111/jphp.12471
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Extrapolation of enalapril efficacy from adults to children using pharmacokinetic/pharmacodynamic modelling

Abstract: Mathematical modelling was used to extrapolate enalapril efficacy to young children to support a paediatric investigation plan targeting a paediatric-use marketing authorization application.

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Cited by 7 publications
(7 citation statements)
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“…The value of the total rate constant of enalapril elimination through renal and metabolic route was estimated to be 0.93 1/h and was in line to the reported value of 0.94 1/h (36). The value of the rate constant of metabolite formation (KM) estimated using transit compartment model was 0.69 1/h and was in line to the reported value of 0.9 1/h estimated using the LAG time model (7). The estimated value of the rate constant of enalaprilat elimination was 0.175 1/h and was in line to the reported value of 0.14 1/h (36).…”
Section: Discussionsupporting
confidence: 86%
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“…The value of the total rate constant of enalapril elimination through renal and metabolic route was estimated to be 0.93 1/h and was in line to the reported value of 0.94 1/h (36). The value of the rate constant of metabolite formation (KM) estimated using transit compartment model was 0.69 1/h and was in line to the reported value of 0.9 1/h estimated using the LAG time model (7). The estimated value of the rate constant of enalaprilat elimination was 0.175 1/h and was in line to the reported value of 0.14 1/h (36).…”
Section: Discussionsupporting
confidence: 86%
“…The one compartment model was also not able to predict the bi-exponential elimination phase of the metabolite. The two-compartment population pharmacokinetic model with proportional residual error model has been reported in the literature to model enalaprilat concentrations, however, a combined additive plus proportional residual error model significantly dropped the objective function and was used in our final base model (7). A three-compartment model was also tested but resulted in higher standard errors with no significant change in the objective function and was rejected.…”
Section: Discussionmentioning
confidence: 99%
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“…107, 111 Drug trials in pediatric cardiomyopathy are challenging because of limitations in power due to small sample size, lack of validated endpoints, and incomplete pharmacokinetic/pharmacodynamic data. 110, 112, 113 A current study of sacubitril/valsartan in children is using a novel global rank endpoint as the primary outcome. 114 If successful, this may prove to be a useful endpoint the design of future studies.…”
Section: Dilated Cardiomyopathymentioning
confidence: 99%
“…To date, limitations in data generation are being addressed by increased acceptance of extrapolation methodologies, 42,43 in which pharmacokinetics, pharmacodynamics and efficacy are inferred from a reference patient population, and eventually from animals, another compound or disease. [44][45][46] Whereas inferential methods are extremely important, and formal extrapolation approaches provides transparency for empirical dose selection, which is often observed during off-label use of a medicinal product, a key issue remains, in that any data oncoming from the target population is likely to be sparse and need to be integrated with existing knowledge, whether or not previously framed under an extrapolation exercise. It is therefore essential to maximise the usefulness of the data obtained with the minimum number of subjects enrolled.…”
Section: Accepted Manuscriptmentioning
confidence: 99%