Literature DB >> 19745564

Comparative pharmacodynamics of olmesartan and azelnidipine in patients with hypertension: a population pharmacokinetic/pharmacodynamic analysis.

Yusuke Tanigawara1, Kazutaka Yoshihara, Kizuku Kuramoto, Kikuo Arakawa.   

Abstract

SUMMARY: The objectives of this study were to identify the factors influencing antihypertensive response to the angiotensin receptor blocker, olmesartan medoxomil, or the calcium channel blocker, azelnidipine, and to discuss the possibility of utilizing them as predictors for drug selection prior to therapy. A two-way crossover study of olmesartan medoxomil and azelnidipine was conducted in 29 patients with mild to moderate essential hypertension. The 24-hour ambulatory blood pressure measurements (ABPM) and plasma drug concentrations were obtained on the first and at the end of each treatment period, and were analyzed using population pharmacokinetic/pharmacodynamic (PK/PD) modeling approach. The population PK/PD models considering circadian variations in baseline blood pressure well described the observed plasma drug concentrations and 24-hour ABPM profiles. Pre-treatment plasma renin activity (PRA) was identified as a significant covariate on the maximum drug effect (E(max)) of olmesartan, whereas azelnidpine E(max) was independent of patient background characteristics investigated. No patient was found to have a high E(max) to one agent who also had a high E(max) to the other. In conclusion, the effects of olmesartan medoxomil and azelnidipine were modestly correlated with pharmacokinetic profiles, and the pre-treatment PRA level could be a useful determinant of responsiveness in selecting olmesartan medoxomil and azelnidipine.

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Year:  2009        PMID: 19745564     DOI: 10.2133/dmpk.24.376

Source DB:  PubMed          Journal:  Drug Metab Pharmacokinet        ISSN: 1347-4367            Impact factor:   3.614


  7 in total

1.  Pharmacokinetic-pharmacodynamic model of fimasartan applied to predict the influence of a high fat diet on its blood pressure-lowering effect in healthy subjects.

Authors:  Jongtae Lee; Seunghoon Han; Sangil Jeon; Taegon Hong; Dong-Seok Yim
Journal:  Eur J Clin Pharmacol       Date:  2012-06-02       Impact factor: 2.953

2.  Effect of placebo on ambulatory blood pressure monitoring in children.

Authors:  Karen Redwine; Lee Howard; Pippa Simpson; Shun-Hwa Li; Ke Yan; Laura James; Jeffrey Blumer; Janice Sullivan; Robert Ward; Thomas Wells
Journal:  Pediatr Nephrol       Date:  2012-05-24       Impact factor: 3.714

3.  Comments on: "Population Pharmacokinetic Modeling of Olmesartan, the Active Metabolite of Olmesartan Medoxomil, in Patients with Hypertension".

Authors:  Nuggehally R Srinivas
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-12       Impact factor: 2.441

4.  Population Pharmacokinetic Modeling of Olmesartan, the Active Metabolite of Olmesartan Medoxomil, in Patients with Hypertension.

Authors:  Devender Kodati; Harish Kaushik Kotakonda; Narsimhareddy Yellu
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-08       Impact factor: 2.441

5.  Evaluation of the pharmacokinetic and pharmacodynamic drug interactions between cilnidipine and valsartan, in healthy volunteers.

Authors:  Jieon Lee; Howard Lee; Kyungho Jang; Kyoung Soo Lim; Dongseong Shin; Kyung-Sang Yu
Journal:  Drug Des Devel Ther       Date:  2014-10-08       Impact factor: 4.162

6.  Characterization of circadian blood pressure patterns using non-linear mixed effects modeling.

Authors:  Dongwoo Chae; Yukyung Kim; Kyungsoo Park
Journal:  Transl Clin Pharmacol       Date:  2019-03-27

7.  Cardiovascular Safety Assessment in Early-Phase Clinical Studies: A Meta-Analytical Comparison of Exposure-Response Models.

Authors:  D J Conrado; D Chen; W S Denney
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-06-18
  7 in total

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