Literature DB >> 10425379

Validation of a population pharmacokinetic/pharmacodynamic model for 5 alpha-reductase inhibitors.

P Olsson Gisleskog1, D Hermann, M Hammarlund-Udenaes, M O Karlsson.   

Abstract

A population pharmacokinetic/dynamic model describing the conversion of testosterone to dihydrotestosterone (DHT) by 5alpha-reductases and the irreversible inhibition of 5alpha-reductase(s) by finasteride and dutasteride was validated. The model had been developed using data from a single dose study in healthy volunteers and was validated against data from a 28-day repeat dose study in patients with benign prostatic hyperplasia. Validation was carried out by comparing results of Monte Carlo simulations to the observed data, fitting the model to the repeat dose data and comparing with previously derived parameter values, and examining individual predictions of the model for the individuals in the repeat dose study for any bias. Simulations closely predicted the outcome of the repeat dose study, estimated parameters of the pharmacodynamic modelling were generally close to within 88 to 116% of those from the original model and the individual predictions did not indicate any bias. Thus the model derived from single dose data from healthy volunteers was considered to be valid for the prediction of DHT levels in the patient population after repeated dosing of dutasteride and finasteride.

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Year:  1999        PMID: 10425379     DOI: 10.1016/s0928-0987(99)00024-x

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  2 in total

Review 1.  Biomarkers, validation and pharmacokinetic-pharmacodynamic modelling.

Authors:  Wayne A Colburn; Jean W Lee
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

2.  Use of 5-alpha-reductase inhibitors did not increase the risk of cardiovascular diseases in patients with benign prostate hyperplasia: a five-year follow-up study.

Authors:  Teng-Fu Hsieh; Yu-Wan Yang; Shang-Sen Lee; Tien-Huang Lin; Hsin-Ho Liu; Tsung-Hsun Tsai; Chi-Cheng Chen; Yung-Sung Huang; Ching-Chih Lee
Journal:  PLoS One       Date:  2015-03-24       Impact factor: 3.240

  2 in total

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