Literature DB >> 6833202

A simple mathematical model for predicting lithium dose requirement.

M Zetin, D Garber, M Cramer.   

Abstract

Available methods of predicting lithium dose have been based on kinetics of a single test dose. A statistically based mathematical model was developed in which lithium dose is derived by stepwise multiple linear regression based on desired level, form of lithium, concomitant tricyclic use, age, sex, and weight. Predictions of the model were correct to within 300 mg in 66% of the 100 initial cases and within 600 mg in 94% of cases. A validation study of 112 additional cases revealed similar percentage. The simple mathematical expression derived from record review allows the clinician to calculate the relationship of steady-state lithium dosage to serum level prior to initiating treatment.

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Year:  1983        PMID: 6833202

Source DB:  PubMed          Journal:  J Clin Psychiatry        ISSN: 0160-6689            Impact factor:   4.384


  4 in total

Review 1.  Bayesian parameter estimation and population pharmacokinetics.

Authors:  A H Thomson; B Whiting
Journal:  Clin Pharmacokinet       Date:  1992-06       Impact factor: 6.447

2.  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

3.  Accuracy of the Pepin method to determine appropriate lithium dosages in healthy volunteers.

Authors:  E Stip; J Dufresne; B Boulerice; R Elie
Journal:  J Psychiatry Neurosci       Date:  2001-09       Impact factor: 6.186

Review 4.  Population Pharmacokinetic Analyses of Lithium: A Systematic Review.

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

  4 in total

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