2017
DOI: 10.2147/dddt.s126035
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Fixed-dose combination orally disintegrating tablets to treat cardiovascular disease: formulation, in vitro characterization and physiologically based pharmacokinetic modeling to assess bioavailability

Abstract: Cardiovascular disease (CVD) is the leading cause of death among men and women worldwide. In CVD, hypertension and dyslipidemia commonly coexist and are managed through coadministration of amlodipine and atorvastatin, respectively. The case for fixed-dose combination (FDC) oral dosage forms and orally disintegrating tablet (ODT) technology to enhance outcomes and compliance is strong. This work follows the development and characterization of single and FDC ODTs containing amlodipine and atorvastatin, followed … Show more

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Cited by 18 publications
(9 citation statements)
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References 61 publications
(64 reference statements)
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“…A PBPK/PD modeling strategy was used to investigate dose adjustment recommendations for amlodipine during and after co-administration of RTV containing 2- or 3-DAA regimens. Unlike previously published PBPK models for amlodipine [ 20 , 21 ], which did not confirm the extent and contribution of CYP3A4-mediated clearance, the model developed here is compared against dedicated clinical DDI studies with ritonavir. A PBPK model to be used to predict DDI pertaining to a particular metabolic pathway needs to be adequately qualified and verified for that intended purpose and verification of the fractional contribution of the particular pathway is a critical aspect [ 14 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…A PBPK/PD modeling strategy was used to investigate dose adjustment recommendations for amlodipine during and after co-administration of RTV containing 2- or 3-DAA regimens. Unlike previously published PBPK models for amlodipine [ 20 , 21 ], which did not confirm the extent and contribution of CYP3A4-mediated clearance, the model developed here is compared against dedicated clinical DDI studies with ritonavir. A PBPK model to be used to predict DDI pertaining to a particular metabolic pathway needs to be adequately qualified and verified for that intended purpose and verification of the fractional contribution of the particular pathway is a critical aspect [ 14 ].…”
Section: Discussionmentioning
confidence: 99%
“…Blei [ 20 ] developed a PBPK model for amlodipine, but the model did not include CYP3A4-mediated clearance, which is essential in order to model mechanistic DDI with perpetrator drugs. Dennison et al [ 21 ], developed a PBPK model for amlodipine which included CYP3A4-mediated clearance, however their focus was on dissolution and oral absorption of amlodipine. Dennison et al also assigned the entire oral clearance to be due to CYP3A4 and there was no effort to confirm the contribution of the particular enzyme through DDI with CYP3A4 inhibitors.…”
Section: Introductionmentioning
confidence: 99%
“…The relative difference between two curves ƒ 1 values up to 15% indicates little difference between two dissolution curves, while drug products are considered similar when the calculated ƒ 2 is between 50 to 100 [4]. In one study, ƒ 1 and ƒ 2 and PBPK simulations for atorvastatin formulations proved to be bioequivalent, supporting the argument for class II inclusion in biowaiver applications, ideally in silico modeling in conjunction with in vitro dissolution [37]. However, for class II drug products, the probability of BE after a similar dissolution profile was 61% with false positive results (similar dissolution but not bioequivalent (NBE)) was up to 90% [38,39].…”
Section: Similarity and Difference Factorsmentioning
confidence: 89%
“…[1,2] However, such complex drug therapy regimes may result in poor adherence. A combination product, which includes two or more active pharmaceutical ingredients (APIs) combined in a single dosage form, a socalled a fixed-dose combination (FDC), [3][4][5][6][7][8][9] will improve patient adherence [10,11] and thus maximize the benefits of antihypertensive therapy.…”
Section: Introductionmentioning
confidence: 99%