Literature DB >> 6509861

Population pharmacokinetics of procainamide from routine clinical data.

T H Grasela, L B Sheiner.   

Abstract

Routine clinical pharmacokinetic data collected from patients receiving procainamide were analysed to estimate population pharmacokinetic parameters. 116 plasma concentration determinations for procainamide and 14 timed urine collections for the drug and its major metabolite N-acetylprocainamide (NAPA) were obtained from 39 patients, mostly males. The data were analysed using NONMEM, a computer program designed for population pharmacokinetic analysis that allows pooling of data from many individuals. Estimates of the influence of weight, height, renal function, and the presence of congestive heart failure (CHF) on the renal clearance (CLR), acetylation clearance (CLA), miscellaneous metabolic clearance (CLO), and volume of distribution (Vd) of procainamide were obtained. The mean (SE) CLR, CLA, CLO and Vd for procainamide in a 70kg patient with normal renal function were estimated to be 14.4 (2.3) L/h, 10.1 (1.7) L/h, 1.2 (1.3) L/h, and 136.0 (20.0) L, respectively. These pharmacokinetic parameters vary linearly with bodyweight; height adds no information if weight is known. The presence of CHF has no significant effect on either CLO or Vd, but reduces CLA and CLR by 11% (p less than 0.01). Even after adjustments for CHF, renal function and weight, the total clearance and Vd of procainamide vary unpredictably among individuals, with a coefficient of variation between 30 and 40%, and less than 50%, respectively.

Entities:  

Mesh:

Substances:

Year:  1984        PMID: 6509861     DOI: 10.2165/00003088-198409060-00004

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  17 in total

1.  A formula to estimate the approximate surface area if height and weight be known. 1916.

Authors:  D Du Bois; E F Du Bois
Journal:  Nutrition       Date:  1989 Sep-Oct       Impact factor: 4.008

2.  Procainamide and N-acetylprocainamide kinetics investigated simultaneously with stable isotope methodology.

Authors:  J S Dutcher; J M Strong; S V Lucas; W K Lee; A J Atkinson
Journal:  Clin Pharmacol Ther       Date:  1977-10       Impact factor: 6.875

3.  Estimation of population characteristics of pharmacokinetic parameters from routine clinical data.

Authors:  L B Sheiner; B Rosenberg; V V Marathe
Journal:  J Pharmacokinet Biopharm       Date:  1977-10

4.  Procainamide dosage schedules, plasma concentrations, and clinical effects.

Authors:  J Koch-Weser; S W Klein
Journal:  JAMA       Date:  1971-03-01       Impact factor: 56.272

5.  Bayesian individualization of pharmacokinetics: simple implementation and comparison with non-Bayesian methods.

Authors:  L B Sheiner; S L Beal
Journal:  J Pharm Sci       Date:  1982-12       Impact factor: 3.534

6.  Elimination of procainamide in end stage renal failure.

Authors:  T P Gibson; D T Lowenthal; H A Nelson; W A Briggs
Journal:  Clin Pharmacol Ther       Date:  1975-03       Impact factor: 6.875

7.  Clinical pharmacokinetics of procainamide infusions in relation to acetylator phenotype.

Authors:  J J Lima; D R Conti; A L Goldfarb; W J Tilstone; L H Golden; W J Jusko
Journal:  J Pharmacokinet Biopharm       Date:  1979-02

8.  Aging and renal clearance of procainamide and acetylprocainamide.

Authors:  M M Reidenberg; M Camacho; J Kluger; D E Drayer
Journal:  Clin Pharmacol Ther       Date:  1980-12       Impact factor: 6.875

9.  Pharmacokinetic approach to intravenous procainamide therapy.

Authors:  J J Lima; D R Conti; A L Goldfarb; L H Golden; W J Jusko
Journal:  Eur J Clin Pharmacol       Date:  1978-06-19       Impact factor: 2.953

10.  Evaluation of methods for estimating population pharmacokinetics parameters. I. Michaelis-Menten model: routine clinical pharmacokinetic data.

Authors:  L B Sheiner; S L Beal
Journal:  J Pharmacokinet Biopharm       Date:  1980-12
View more
  15 in total

1.  An evaluation of point and interval estimates in population pharmacokinetics using NONMEM analysis.

Authors:  D B White; C A Walawander; Y Tung; T H Grasela
Journal:  J Pharmacokinet Biopharm       Date:  1991-02

Review 2.  Challenges in the transition to model-based development.

Authors:  Thaddeus H Grasela; Jill Fiedler-Kelly; Cynthia A Walawander; Joel S Owen; Brenda B Cirincione; Kathleen E Reitz; Elizabeth A Ludwig; Julie A Passarell; Charles W Dement
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

Review 3.  Recommended reading in population pharmacokinetic pharmacodynamics.

Authors:  Peter L Bonate
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

Review 4.  Effects of cardiovascular disease on pharmacokinetics.

Authors:  V Rodighiero
Journal:  Cardiovasc Drugs Ther       Date:  1989-10       Impact factor: 3.727

5.  Application of NONMEM to routine bioavailability data.

Authors:  D A Graves; I Chang
Journal:  J Pharmacokinet Biopharm       Date:  1990-04

Review 6.  The influence of heart failure on the pharmacokinetics of cardiovascular and non-cardiovascular drugs: a critical appraisal of the evidence.

Authors:  Arduino A Mangoni; Elzbieta A Jarmuzewska
Journal:  Br J Clin Pharmacol       Date:  2018-10-14       Impact factor: 4.335

7.  Therapeutic drug monitoring of digoxin.

Authors:  S Vozeh
Journal:  Eur J Clin Pharmacol       Date:  1987       Impact factor: 2.953

8.  Estimates of the population pharmacokinetic parameters and performance of Bayesian feedback: a sensitivity analysis.

Authors:  S Vozeh; C Steiner
Journal:  J Pharmacokinet Biopharm       Date:  1987-10

Review 9.  Population pharmacokinetics. Theory and clinical application.

Authors:  B Whiting; A W Kelman; J Grevel
Journal:  Clin Pharmacokinet       Date:  1986 Sep-Oct       Impact factor: 6.447

10.  Optimal sampling schedule design for populations of patients.

Authors:  Vincent H Tam; Sandra L Preston; G L Drusano
Journal:  Antimicrob Agents Chemother       Date:  2003-09       Impact factor: 5.191

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.