European Journal of Clinical Pharmacology

, Volume 63, Issue 2, pp 217–218 | Cite as

Effect of CYP2D6 genotype on flecainide pharmacokinetics in Japanese patients with supraventricular tachyarrhythmia

  • Kosuke Doki
  • Masato Homma
  • Keisuke Kuga
  • Kazutomi Kusano
  • Shigeyuki Watanabe
  • Iwao Yamaguchi
  • Yukinao Kohda
Erratum
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Erratum to: Eur J Clin Pharmacol 62:919–926DOI 10.1007/s00228-006-0188-x

Some superscripts and subscripts in Tables 3 and 4 were typeset incorrectly. The correct tables are reproduced here.
Table 3

Summary of analysis models for the pharmacokinetic parameters of flecainide

Number

Model equation

OFV

ΔOFV

Comparison

P value*

1

\( V \mathord{\left/ {\vphantom {V {F = \theta _{1} \quad {CL} \mathord{\left/ {\vphantom {{CL} F}} \right. \kern-\nulldelimiterspace} F = \theta _{2} \cdot e^{{\eta i}} }}} \right. \kern-\nulldelimiterspace} {F = \theta _{1} \quad {CL} \mathord{\left/ {\vphantom {{CL} F}} \right. \kern-\nulldelimiterspace} F = \theta _{2} \cdot e^{{\eta i}} } \)

816.0

2

\( V \mathord{\left/ {\vphantom {V {F = \theta _{1} \quad {CL} \mathord{\left/ {\vphantom {{CL} {F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot e^{{\eta i}} }}} \right. \kern-\nulldelimiterspace} {F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot e^{{\eta i}} }}}} \right. \kern-\nulldelimiterspace} {F = \theta _{1} \quad {CL} \mathord{\left/ {\vphantom {{CL} {F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot e^{{\eta i}} }}} \right. \kern-\nulldelimiterspace} {F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot e^{{\eta i}} }} \)

798.7

17.3

vs 1

P < 0.005

3

\( V \mathord{\left/ {\vphantom {V {F = \theta _{1} \quad {CL} \mathord{\left/ {\vphantom {{CL} {F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot \theta ^{{AGE \geqslant 70}}_{4} \cdot e^{{\eta i}} }}} \right. \kern-\nulldelimiterspace} {F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot \theta ^{{AGE \geqslant 70}}_{4} \cdot e^{{\eta i}} }}}} \right. \kern-\nulldelimiterspace} {F = \theta _{1} \quad {CL} \mathord{\left/ {\vphantom {{CL} {F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot \theta ^{{AGE \geqslant 70}}_{4} \cdot e^{{\eta i}} }}} \right. \kern-\nulldelimiterspace} {F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot \theta ^{{AGE \geqslant 70}}_{4} \cdot e^{{\eta i}} }} \)

779.0

19.7

vs 2

P < 0.005

4

\( V \mathord{\left/ {\vphantom {V F}} \right. \kern-\nulldelimiterspace} F = \theta _{1} \quad {CL} \mathord{\left/ {\vphantom {{CL} F}} \right. \kern-\nulldelimiterspace} F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot \theta ^{{AGE \geqslant 70}}_{4} \cdot \theta ^{{SEX}}_{5} \cdot e^{{\eta i}} \)

772.4

6.6

vs 3

P < 0.05

5

\( V \mathord{\left/ {\vphantom {V F}} \right. \kern-\nulldelimiterspace} F = \theta _{1} \quad {CL} \mathord{\left/ {\vphantom {{CL} F}} \right. \kern-\nulldelimiterspace} F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot \theta ^{{AGE \geqslant 70}}_{4} \cdot \theta ^{{SEX}}_{5} \cdot Scr^{{\theta _{6} }} \cdot e^{{\eta i}} \)

760.9

11.5

vs 4

P < 0.005

6

\(\begin{aligned} & V \mathord{\left/ {\vphantom {V {F = \theta _{1} }}} \right. \kern-\nulldelimiterspace} {F = \theta _{1} } \\ & {CL} \mathord{\left/ {\vphantom {{CL} {F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot \theta ^{{AGE \geqslant 70}}_{4} }}} \right. \kern-\nulldelimiterspace} {F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot \theta ^{{AGE \geqslant 70}}_{4} } \cdot \theta ^{{SEX}}_{5} \cdot Scr^{{\theta _{6} }} \cdot {\left( {\theta _{E} \cdot EM + \theta _{I} \cdot IM + \theta _{P} \cdot PM} \right)} \cdot e^{{\eta i}} \\ \end{aligned} \)

750.7

10.2

vs 5

P < 0.05

OFV, the objective function value (−2 log likelihood); ΔOFV, difference in OFV; Ka = 0.6 (fixed); WT is body weight (kg), AGE ≥ 70 is one for 70 years or over and 0 for otherwise, SEX is 1 for females and 0 for males, Scr is serum creatinine concentration (mg/dL), EM, IM and PM number of EM, IM and PM (poor metabolizer) alleles, respectively.

*The ΔOFV greater than 3.84 (df = 1) or 7.81 (df = 3) was accepted as statistically significant (P < 0.05).

Table 4

Final population pharmacokinetic parameter estimates for flecainide

Parameter

Estimates

CV%

V/F (l)

 V/F = θ 1

  θ 1

379.0

15.7

CL/F (l/h)

 \( {CL} \mathord{\left/ {\vphantom {{CL} F}} \right. \kern-\nulldelimiterspace} F = \theta _{2} \cdot WT^{{\theta _{3} }} \cdot \theta ^{{AGE \geqslant 70}}_{4} \cdot \theta ^{{SEX}}_{5} \cdot Scr^{{\theta _{6} }} \cdot {\left( {\theta _{E} \cdot EM + \theta _{I} \cdot IM + \theta _{P} \cdot PM} \right)} \)

  θ 2

1.25

54.7

  θ 3

0.49

27.9

  θ 4

0.70

7.0

  θ 5

0.76

6.1

  θ 6

−0.35

39.0

  θ E

1.04

8.7

  θ I

0.82

11.5

  θ P

0.71

17.1

Interpatient variability (%) CL/F

 CL/F

17.8

47.5

Intrapatient variability (%)

13.1

50.0

WT Body weight (kg); AGE ≥ 70 is 1 for 70 years or over and 0 for otherwise; SEX is 1 for females and 0 for males; Scr serum creatinine concentration (mg/dl), EM, IM and PM number of EM, IM and PM alleles, respectively. V/F Distribution volume, CL/F oral clearance

Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  • Kosuke Doki
    • 1
  • Masato Homma
    • 1
  • Keisuke Kuga
    • 2
  • Kazutomi Kusano
    • 3
  • Shigeyuki Watanabe
    • 2
  • Iwao Yamaguchi
    • 2
  • Yukinao Kohda
    • 1
  1. 1.Department of Pharmaceutical Sciences, Graduate School of Comprehensive Human SciencesUniversity of TsukubaTsukubaJapan
  2. 2.Department of Internal Medicine, Graduate School of Comprehensive Human SciencesUniversity of TsukubaTsukubaJapan
  3. 3.Tsukuba Research Laboratories, EisaiTsukubaJapan

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