Literature DB >> 31236790

Population Pharmacokinetics and Pharmacodynamics of Apixaban Linking Its Plasma Concentration to Intrinsic Activated Coagulation Factor X Activity in Japanese Patients with Atrial Fibrillation.

Satoshi Ueshima1, Daiki Hira1,2, Chiho Tomitsuka1, Miki Nomura1, Yuuma Kimura1, Takuya Yamane1, Yohei Tabuchi2, Tomoya Ozawa3, Hideki Itoh3, Minoru Horie3,4, Tomohiro Terada2, Toshiya Katsura5.   

Abstract

Apixaban is used in the prevention and treatment of patients with deep vein thrombosis or pulmonary embolism, and in the prevention of stroke or systemic embolism in patients with nonvalvular atrial fibrillation (AF). In this study, we aimed to elucidate intrinsic factors affecting efficacy of apixaban by conducting population pharmacokinetic and pharmacodynamic analysis using data from 81 Japanese AF patients. The intrinsic FXa activity was determined to assess the pharmacodynamic effect of apixaban. The pharmacokinetic and pharmacodynamic profiles were described based on a one-compartment model with first-order absorption and a maximum inhibitory model, respectively. Pharmacokinetic and pharmacodynamic analysis was conducted using a nonlinear mixed effect modeling program. The population pharmacokinetic parameters of apixaban were fixed at the reported values in our recent study. The population mean of half-maximal inhibitory concentration (IC50) of apixaban was estimated to be 45.3 ng/mL. The population mean IC50 decreased 27.7% for patients with heart failure, but increased 55% for patients with a medical history of cerebral infarction. In contrast, no covariates affected the population mean of baseline of intrinsic FXa activity (BASE) and maximum effect (Imax) value of apixaban. The population mean of BASE and Imax value were estimated to be 40.2 and 38.4 nmol/min/mg protein, respectively. The present study demonstrates for the first time that the co-morbidity of heart failure as well as the medical history of cerebral infarction are an intrinsic factor affecting the pharmacodynamics of apixaban.

Entities:  

Keywords:  apixaban; cerebral infarction; heart failure; population pharmacokinetics and pharmacodynamics

Year:  2019        PMID: 31236790     DOI: 10.1208/s12248-019-0353-7

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  43 in total

1.  Simultaneous vs. sequential analysis for population PK/PD data I: best-case performance.

Authors:  Liping Zhang; Stuart L Beal; Lewis B Sheiner
Journal:  J Pharmacokinet Pharmacodyn       Date:  2003-12       Impact factor: 2.745

2.  Prediction of creatinine clearance from serum creatinine.

Authors:  D W Cockcroft; M H Gault
Journal:  Nephron       Date:  1976       Impact factor: 2.847

3.  A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding.

Authors:  M M Bradford
Journal:  Anal Biochem       Date:  1976-05-07       Impact factor: 3.365

4.  Evaluation of Approaches to Deal with Low-Frequency Nuisance Covariates in Population Pharmacokinetic Analyses.

Authors:  Chakradhar V Lagishetty; Stephen B Duffull
Journal:  AAPS J       Date:  2015-06-26       Impact factor: 4.009

5.  Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation.

Authors:  B F Gage; A D Waterman; W Shannon; M Boechler; M W Rich; M J Radford
Journal:  JAMA       Date:  2001-06-13       Impact factor: 56.272

Review 6.  Importance of pharmacokinetic profile and variability as determinants of dose and response to dabigatran, rivaroxaban, and apixaban.

Authors:  Inna Y Gong; Richard B Kim
Journal:  Can J Cardiol       Date:  2013-07       Impact factor: 5.223

7.  Apixaban in patients with atrial fibrillation.

Authors:  Stuart J Connolly; John Eikelboom; Campbell Joyner; Hans-Christoph Diener; Robert Hart; Sergey Golitsyn; Greg Flaker; Alvaro Avezum; Stefan H Hohnloser; Rafael Diaz; Mario Talajic; Jun Zhu; Prem Pais; Andrzej Budaj; Alexander Parkhomenko; Petr Jansky; Patrick Commerford; Ru San Tan; Kui-Hian Sim; Basil S Lewis; Walter Van Mieghem; Gregory Y H Lip; Jae Hyung Kim; Fernando Lanas-Zanetti; Antonio Gonzalez-Hermosillo; Antonio L Dans; Muhammad Munawar; Martin O'Donnell; John Lawrence; Gayle Lewis; Rizwan Afzal; Salim Yusuf
Journal:  N Engl J Med       Date:  2011-02-10       Impact factor: 91.245

8.  Plasma from chronic liver disease subjects exhibit differential ability to generate thrombin.

Authors:  Zhineng J Yang; Siddharth H Sheth; Chad H Smith; Amy R Schmotzer; Anita L Lippello; Ali Al-Khafaji; Kapil B Chopra; Roy E Smith
Journal:  Blood Coagul Fibrinolysis       Date:  2015-10       Impact factor: 1.276

9.  Model-based exposure-response analysis of apixaban to quantify bleeding risk in special populations of subjects undergoing orthopedic surgery.

Authors:  T A Leil; C Frost; X Wang; M Pfister; F LaCreta
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-09-17

10.  Population Pharmacokinetics of Apixaban in Subjects With Nonvalvular Atrial Fibrillation.

Authors:  Brenda Cirincione; Kenneth Kowalski; Jace Nielsen; Amit Roy; Neelima Thanneer; Wonkyung Byon; Rebecca Boyd; Xiaoli Wang; Tarek Leil; Frank LaCreta; Takayo Ueno; Masayo Oishi; Charles Frost
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2018-09-30
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  1 in total

1.  Plasma Concentration and Pharmacodynamics of Edoxaban in Patients with Nonvalvular Atrial Fibrillation and Acute Heart Failure.

Authors:  Takeru Nabeta; Keisuke Kida; Miwa Ishida; Takaaki Shiono; Norio Suzuki; Shunichi Doi; Maya Tsukahara; Yuki Ohta; Tetsuya Kimura; Keita Yamaguchi; Atsushi Takita; Naoki Matsumoto; Yoshihiro J Akashi; Junya Ako; Takayuki Inomata
Journal:  Clin Pharmacokinet       Date:  2021-03-30       Impact factor: 6.447

  1 in total

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