2017
DOI: 10.1002/cpdd.382
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Population Pharmacokinetic Evaluation and Missed‐Dose Simulations for Eslicarbazepine Acetate Monotherapy in Patients With Partial‐Onset Seizures

Abstract: Given the potential consequences of antiepileptic therapy nonadherence, missed-dose scenarios of 12- to 48-hour dose delays (4-hour intervals) for eslicarbazepine acetate monotherapy were evaluated using simulated plasma concentrations of a population pharmacokinetic model (representing 493 subjects). When 1600-mg doses were delayed 12 to <16 or 36 to <44 hours, simulations showed immediate administration of 1600 mg followed by the same dose at the scheduled time maintained plasma concentrations within the tar… Show more

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Cited by 12 publications
(8 citation statements)
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“…Similar studies have been performed with antihypertensive drugs [22][23][24][25][26][27][28][29][30] which indicate, for instance, amlodipine to be more forgiving than either enalapril or diltiazem, and to be more forgiving when combined with olmesartan than with perindopril [31]. For warfarin, pharmacokineticpharmacodynamic models have been proposed to inform labelling recommendations [32], and population pharmacokinetic models have been used to simulate missed doses of [33]. Pharmacometric analyses have also been used for a range of psychoactive treatments [34], and ought to be performed routinely to provide evidence for PIL and SmPC instructions on missed doses; especially for less forgiving treatments.…”
Section: Discussionmentioning
confidence: 97%
“…Similar studies have been performed with antihypertensive drugs [22][23][24][25][26][27][28][29][30] which indicate, for instance, amlodipine to be more forgiving than either enalapril or diltiazem, and to be more forgiving when combined with olmesartan than with perindopril [31]. For warfarin, pharmacokineticpharmacodynamic models have been proposed to inform labelling recommendations [32], and population pharmacokinetic models have been used to simulate missed doses of [33]. Pharmacometric analyses have also been used for a range of psychoactive treatments [34], and ought to be performed routinely to provide evidence for PIL and SmPC instructions on missed doses; especially for less forgiving treatments.…”
Section: Discussionmentioning
confidence: 97%
“…21 However, because the prediction and simulation by the gold-standard population PK software (NONMEM) used in previous studies is too time consuming, only typical patients with commonly used regimens were investigated. [16][17][18][19]21 Optimal remedial regimens for various delayed or missed dose scenarios were incompletely explored.…”
Section: Discussionmentioning
confidence: 99%
“…The model in the present work generalizes our previous model in [20] which took the drug absorption rate to be infinite. Many groups have used numerical simulations of computational models to study medication nonadherence [31,32,[42][43][44][45][46][47][48][49][50][51][52]. Our results are in general agreement with some of the conclusions of this prior computational work which investigated some specific drugs, including (i) the efficacy of a double dose following a missed dose and (ii) that adherence thresholds should depend on specifics of the drug regimen.…”
Section: Discussionmentioning
confidence: 99%
“…model cannot predict how adherence might increase by switching from an IR to an XR regimen, our model can predict the value of p XR needed so that ε XR = ε IR for a given value of p IR . In the right panel of Figure 7, we plot this value of p XR as a function of p IR , where the dosing intervals are as in (50) and the drugs are lamotrigine (k e = 0.03 hr −1 , k IR a = 3 hr −1 , k XR a = 0.07 hr −1 [31]), a hypothetical antiepileptic drug (AED) considered in [33] (k e = 0.08 hr −1 , k IR a = 5 hr −1 , k XR a = 0.5 hr −1 ), and Quetiapine fumarate (k e = 0.12 hr −1 , k IR a = 1.46 hr −1 , k XR a = 0.1 hr −1 [32]). This plot shows that, for lamotrigine, p XR is only slightly larger than p IR for most values of p IR , and p XR is actually less than p IR for large values of p IR .…”
Section: Comparing Drug Regimens and Designing Xr Drugsmentioning
confidence: 99%