Literature DB >> 3366063

Comparison of pharmacokinetic procedures for dosing lithium based on analysis of prediction error.

J L Browne1, R A Patel, C S Huffman, B K Hussey.   

Abstract

Five pharmacokinetic methods for estimating maintenance dosage requirements of lithium carbonate were compared retrospectively in 20 inpatients with acute bipolar illness. Specific pharmacokinetic methods tested included the method of Cooper, the multiple-point method of Perry, the single-point method of Perry, the method of Zetin, and the method of Pepin. Data analysis was based on evaluation of prediction error or the difference between the predicted steady-state lithium concentration and the measured steady-state lithium concentration at equivalent daily doses. Each dosing method was assessed in regard to accuracy and bias of predicted steady-state serum lithium concentrations. Bias was assessed by comparison of the median value of the prediction error with zero. The dosing recommendation based on the Cooper nomogram resulted in a significant positive bias (p less than or equal to 0.05). Intermethod accuracy was assessed by comparison of the absolute prediction errors of each dosing method. Significant differences in accuracy were observed between the method of Pepin when compared with the single-point method of Perry (p less than or equal to 0.05, k-sample sign test). All other comparisons were nonsignificant.

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Year:  1988        PMID: 3366063     DOI: 10.1177/106002808802200310

Source DB:  PubMed          Journal:  Drug Intell Clin Pharm        ISSN: 0012-6578


  3 in total

1.  Bayesian forecasting of serum lithium concentrations. Comparison with traditional methods.

Authors:  P J Williams; J L Browne; R A Patel
Journal:  Clin Pharmacokinet       Date:  1989-07       Impact factor: 6.447

Review 2.  Population Pharmacokinetic Analyses of Lithium: A Systematic Review.

Authors:  Janthima Methaneethorn
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2018-02       Impact factor: 2.441

Review 3.  Lean body mass as a predictor of drug dosage. Implications for drug therapy.

Authors:  D J Morgan; K M Bray
Journal:  Clin Pharmacokinet       Date:  1994-04       Impact factor: 6.447

  3 in total

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