Literature DB >> 11802096

Population pharmacokinetics of perhexiline from very sparse, routine monitoring data.

R Hussein1, B G Charles, R G Morris, R L Rasiah.   

Abstract

Using NONMEM, the population pharmacokinetics of perhexiline were studied in 88 patients (34 F, 54 M) who were being treated for refractory angina. Their mean +/- SD (range) age was 75 +/- 9.9 years (46-92), and the length of perhexiline treatment was 56 +/- 77 weeks (0.3-416). The sampling time after a dose was 14.1 +/- 21.4 hours (0.5-200), and the perhexiline plasma concentrations were 0.39 +/- 0.32 mg/L (0.03-1.56). A one-compartment model with first-order absorption was fitted to the data using the first-order (FO) approximation. The best model contained 2 subpopulations (obtained via the $MIXTURE subroutine) of 77 subjects (subgroup A) and 11 subjects (subgroup B) that had typical values for clearance (CL/F) of 21.8 L/h and 2.06 L/h, respectively. The volumes of distribution (V/F) were 1470 L and 260 L, respectively, which suggested a reduction in presystemic metabolism in subgroup B. The interindividual variability (CV%) was modeled logarithmically and for CL/F ranged from 69.1% (subgroup A) to 86.3% (subgroup B). The interindividual variability in V/F was 111%. The residual variability unexplained by the population model was 28.2%. These results confirm and extend the existing pharmacokinetic data on perhexiline, especially the bimodal distribution of CL/F manifested via an inherited deficiency in hepatic and extrahepatic CYP2D6 activity.

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Year:  2001        PMID: 11802096     DOI: 10.1097/00007691-200112000-00007

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  8 in total

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Authors:  Nitin Kaila; Robert J Straka; Richard C Brundage
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2.  Pharmacokinetics of the antianginal agent perhexiline: relationship between metabolic ratio and steady-state dose.

Authors:  Benedetta C Sallustio; Ian S Westley; Raymond G Morris
Journal:  Br J Clin Pharmacol       Date:  2002-08       Impact factor: 4.335

3.  Modeling subpopulations with the $MIXTURE subroutine in NONMEM: finding the individual probability of belonging to a subpopulation for the use in model analysis and improved decision making.

Authors:  Kristin C Carlsson; Radojka M Savić; Andrew C Hooker; Mats O Karlsson
Journal:  AAPS J       Date:  2009-03-10       Impact factor: 4.009

4.  Evaluation of mixture modeling with count data using NONMEM.

Authors:  Bill Frame; Raymond Miller; Richard L Lalonde
Journal:  J Pharmacokinet Pharmacodyn       Date:  2003-06       Impact factor: 2.745

5.  Polymorphic hydroxylation of perhexiline in vitro.

Authors:  L B Sørensen; R N Sørensen; J O Miners; A A Somogyi; N Grgurinovich; D J Birkett
Journal:  Br J Clin Pharmacol       Date:  2003-06       Impact factor: 4.335

6.  Albuterol enantiomer levels, lung function and QTc interval in patients with acute severe asthma and COPD in the emergency department.

Authors:  Kwang Choon Yee; Glenn A Jacobson; Richard Wood-Baker; E Haydn Walters
Journal:  Int J Emerg Med       Date:  2011-06-15

7.  Development of visual predictive checks accounting for multimodal parameter distributions in mixture models.

Authors:  Usman Arshad; Estelle Chasseloup; Rikard Nordgren; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-04-09       Impact factor: 2.745

8.  Evaluation of the estimation and classification performance of NONMEM when applying mixture model for drug clearance.

Authors:  Ka Ho Hui; Tai Ning Lam
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-10-24
  8 in total

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