Literature DB >> 15082036

Development of a model based on body composition to predict drug kinetics; II. Application of the model to the use of digoxin in elderlies.

S Ferrara1, F Pazzucconi, A Bondioli, G Mombelli, A Agrati, G Ferraro, F Zoppi, C De Rosa, L Calabresi, C R Sirtori.   

Abstract

The applicability of a kinetic model for the prediction of steady-state blood levels, based on body composition as assessed by bioelectric impedance analysis (BIA), was applied to a population of elderly patients, candidates for digoxin therapy. Elderlies, all >70 years of age, underwent standard laboratory and clinical evaluation but no further characterization of liver or renal function. These 72 patients were given 0.125 mg digoxin for 5 days, in order to reach steady-state levels. Treatment was then interrupted and samples were collected 2 and 48 h after the last administration. Plasma digoxin levels were determined both by the immunochemical method with TDX and according to the BIA method described in the accompanying paper. Plasma levels calculated and measured in 2 h samples did not differ statistically, but levels were about 15% higher in the directly measured samples. There was a similar underestimation, i.e. about 15%, for the 48 h calculated levels. However, only approximately 5% of the levels were outside of the 95% confidence intervals as determined from the directly measured levels. These findings indicate that digoxin levels, calculated based on a BIA evaluation, may be sufficiently reliable, in the majority of patients, to allow direct determination of the more appropriate doses of digoxin.

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Year:  2004        PMID: 15082036     DOI: 10.1016/j.phrs.2003.12.014

Source DB:  PubMed          Journal:  Pharmacol Res        ISSN: 1043-6618            Impact factor:   7.658


  2 in total

1.  Population pharmacokinetic model of digoxin in older Chinese patients and its application in clinical practice.

Authors:  Xiao-dan Zhou; Yan Gao; Zheng Guan; Zhong-dong Li; Jun Li
Journal:  Acta Pharmacol Sin       Date:  2010-06       Impact factor: 6.150

2.  The novel application of artificial neural network on bioelectrical impedance analysis to assess the body composition in elderly.

Authors:  Kuen-Chang Hsieh; Yu-Jen Chen; Hsueh-Kuan Lu; Ling-Chun Lee; Yong-Cheng Huang; Yu-Yawn Chen
Journal:  Nutr J       Date:  2013-02-06       Impact factor: 3.271

  2 in total

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