Literature DB >> 1988237

Population dose versus response of betaxolol and atenolol: a comparison of potency and variability.

N C Sambol1, L B Sheiner.   

Abstract

The dose-response curves of betaxolol and atenolol were compared in 140 patients with mild to moderate essential hypertension. Patients with a supine diastolic blood pressure of 95 to 115 mm Hg at the end of a 4-week single-blind placebo washout phase were randomized (double-blind) to receive either betaxolol or atenolol in a dose-escalation manner. The dose (5 mg, 10 mg, and 20 mg betaxolol; 25 mg, 50 mg, and 100 mg atenolol) was increased if the supine diastolic blood pressure remained greater than 90 mm Hg after 4 weeks at each level. The final dose in the escalation phase was continued for an additional 12 weeks and then followed by a 2-week placebo phase. The data were analyzed with a population model using the program NONMEM (nonlinear mixed effects model). Atenolol exhibited a graded dose-response curve, whereas the lowest dose of betaxolol produced maximum or near-maximum effect. The estimated maximum effect (drug plus possibly unmeasured placebo effect) was similar for both treatments, about 13 mm Hg (95% confidence interval, 10 to 15 mm Hg). A trend toward less interindividual variability (coefficient of variation) was apparent for betaxolol compared to atenolol, 19% (95% confidence interval, 0% to 29%) versus 31% (95% confidence interval, 0% to 47%). The intraindividual variability (standard deviation) in supine diastolic blood pressure, 5.9 mm Hg (95% confidence interval, 5.2 to 6.5 mm Hg), did not differ significantly between drugs despite significantly greater intraindividual variability (coefficient of variation) in atenolol concentrations, 62% (95% confidence interval, 48% to 73%) versus 26% (95% confidence interval, 22% to 29%) for betaxolol.

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Year:  1991        PMID: 1988237     DOI: 10.1038/clpt.1991.5

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  5 in total

1.  Beta-blockers as first-line therapy for hypertension.

Authors:  G A Heckman; A Papaioannou; W Parkinson; C A Patterson
Journal:  CMAJ       Date:  2000-11-28       Impact factor: 8.262

Review 2.  Non-linear mixed effects modeling - from methodology and software development to driving implementation in drug development science.

Authors:  Goonaseelan Colin Pillai; France Mentré; Jean-Louis Steimer
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-11-07       Impact factor: 2.745

Review 3.  The use of population pharmacokinetics in drug development.

Authors:  S Vozeh; J L Steimer; M Rowland; P Morselli; F Mentre; L P Balant; L Aarons
Journal:  Clin Pharmacokinet       Date:  1996-02       Impact factor: 6.447

Review 4.  Pharmacokinetics as an aid to optimising compliance with medications.

Authors:  P Rudd; L Lenert
Journal:  Clin Pharmacokinet       Date:  1995-01       Impact factor: 6.447

Review 5.  Pharmacokinetic and pharmacodynamic data and models in clinical trials.

Authors:  J L Steimer; M E Ebelin; J Van Bree
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1993 Jan-Mar       Impact factor: 2.441

  5 in total

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