Literature DB >> 3082862

Prediction of lithium dose: a mathematical alternative to the test-dose method.

M Zetin, D Garber, M De Antonio, A Schlegel, S Feureisen, R Fieve, C Jewett, V Reus, L Y Huey.   

Abstract

A method of estimating the optimal dose of lithium is presented. The charts of 548 patients were reviewed to obtain data regarding the factors thought to affect the lithium dose, and an equation to estimate the dose was derived by stepwise multiple linear regression. The equation was also applied to 390 patients to determine the difference between the estimated and the actual dose; the mean difference was only 19 mg/day and the standard deviation was 325 mg/day. Lithium level, presence of a cyclic antidepressant, age, sex, and weight were found to be important variables for estimation of lithium dose.

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Year:  1986        PMID: 3082862

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


  4 in total

1.  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 2.  Lithium: updated human knowledge using an evidence-based approach. Part II: Clinical pharmacology and therapeutic monitoring.

Authors:  Etienne Marc Grandjean; Jean-Michel Aubry
Journal:  CNS Drugs       Date:  2009       Impact factor: 5.749

3.  Comparison of three a-priori models in the prediction of serum lithium concentration.

Authors:  Rajiv Radhakrishnan; Milanduth Kanigere; Jayakumar Menon; Sam Calvin; Krishnamachari Srinivasan
Journal:  Indian J Pharmacol       Date:  2012-03       Impact factor: 1.200

4.  Predicting lithium treatment response in bipolar patients using gender-specific gene expression biomarkers and machine learning.

Authors:  Andy R Eugene; Jolanta Masiak; Beata Eugene
Journal:  F1000Res       Date:  2018-04-18
  4 in total

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