A computerised sampling strategy for therapeutic drug monitoring of lithium provides precise estimates and significantly reduces dose-finding time

Lotte Christine Groth Høgberg; Gesche Jürgens; Vivian Wederking Zederkof; Bettina Holgersson; John Erik Andersson; Kim Peder Dalhoff; Ejnar Bundgaard Larsen; Helle Riis Angelo

doi:10.1111/j.1742-7843.2011.00800.x

A computerised sampling strategy for therapeutic drug monitoring of lithium provides precise estimates and significantly reduces dose-finding time

Lotte Christine Groth Høgberg, Gesche Jürgens, Vivian Wederking Zederkof, Bettina Holgersson, John Erik Andersson, Kim Peder Dalhoff, Ejnar Bundgaard Larsen, Helle Riis Angelo

Department of Clinical Medicine

2 Citations (Scopus)

Abstract

The clinical benefit of implementing Bayesian approach for lithium drug monitoring was evaluated. Intervention group (N = 42) and historical control group (N = 55) patients were each divided into two groups: Dosage with immediate-release lithium carbonate or a sustained-release formulation, lithium citrate. Bayesian approach was performed in the intervention groups, and estimation of lithium steady-state trough concentration was obtained from non-steady-state blood sample, collected about 12 hr after the first lithium study dose. The estimate was compared with the actually measured steady-state concentration. In the control group, lithium monitoring was traditionally performed as steady-state blood sampling. Predicted and measured lithium concentrations were comparable. The desired lithium dose was reached significantly faster in the intervention group compared to control; 2.47 ± 2.22 days versus 9.96 ± 11.24 days (mean ± S.D.) (p = 0.0003). Bayesian approach was an advantage for the clinicians as a fast and safe aid to obtain the optimal lithium treatment dose.

Original language	English
Journal	Basic & Clinical Pharmacology & Toxicology
Volume	110
Issue number	3
Pages (from-to)	259-63
Number of pages	5
ISSN	1742-7835
DOIs	https://doi.org/10.1111/j.1742-7843.2011.00800.x
Publication status	Published - Mar 2012

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Høgberg, L. C. G., Jürgens, G., Zederkof, V. W., Holgersson, B., Andersson, J. E., Dalhoff, K. P., Larsen, E. B., & Angelo, H. R. (2012). A computerised sampling strategy for therapeutic drug monitoring of lithium provides precise estimates and significantly reduces dose-finding time. Basic & Clinical Pharmacology & Toxicology, 110(3), 259-63. https://doi.org/10.1111/j.1742-7843.2011.00800.x

A computerised sampling strategy for therapeutic drug monitoring of lithium provides precise estimates and significantly reduces dose-finding time. / Høgberg, Lotte Christine Groth; Jürgens, Gesche; Zederkof, Vivian Wederking et al.

In: Basic & Clinical Pharmacology & Toxicology, Vol. 110, No. 3, 03.2012, p. 259-63.

Research output: Contribution to journal › Journal article › Research › peer-review

Høgberg, LCG, Jürgens, G, Zederkof, VW, Holgersson, B, Andersson, JE, Dalhoff, KP, Larsen, EB & Angelo, HR 2012, 'A computerised sampling strategy for therapeutic drug monitoring of lithium provides precise estimates and significantly reduces dose-finding time', Basic & Clinical Pharmacology & Toxicology, vol. 110, no. 3, pp. 259-63. https://doi.org/10.1111/j.1742-7843.2011.00800.x

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title = "A computerised sampling strategy for therapeutic drug monitoring of lithium provides precise estimates and significantly reduces dose-finding time",

abstract = "The clinical benefit of implementing Bayesian approach for lithium drug monitoring was evaluated. Intervention group (N = 42) and historical control group (N = 55) patients were each divided into two groups: Dosage with immediate-release lithium carbonate or a sustained-release formulation, lithium citrate. Bayesian approach was performed in the intervention groups, and estimation of lithium steady-state trough concentration was obtained from non-steady-state blood sample, collected about 12 hr after the first lithium study dose. The estimate was compared with the actually measured steady-state concentration. In the control group, lithium monitoring was traditionally performed as steady-state blood sampling. Predicted and measured lithium concentrations were comparable. The desired lithium dose was reached significantly faster in the intervention group compared to control; 2.47 ± 2.22 days versus 9.96 ± 11.24 days (mean ± S.D.) (p = 0.0003). Bayesian approach was an advantage for the clinicians as a fast and safe aid to obtain the optimal lithium treatment dose.",

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AU - Andersson, John Erik

AU - Dalhoff, Kim Peder

AU - Larsen, Ejnar Bundgaard

AU - Angelo, Helle Riis

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AB - The clinical benefit of implementing Bayesian approach for lithium drug monitoring was evaluated. Intervention group (N = 42) and historical control group (N = 55) patients were each divided into two groups: Dosage with immediate-release lithium carbonate or a sustained-release formulation, lithium citrate. Bayesian approach was performed in the intervention groups, and estimation of lithium steady-state trough concentration was obtained from non-steady-state blood sample, collected about 12 hr after the first lithium study dose. The estimate was compared with the actually measured steady-state concentration. In the control group, lithium monitoring was traditionally performed as steady-state blood sampling. Predicted and measured lithium concentrations were comparable. The desired lithium dose was reached significantly faster in the intervention group compared to control; 2.47 ± 2.22 days versus 9.96 ± 11.24 days (mean ± S.D.) (p = 0.0003). Bayesian approach was an advantage for the clinicians as a fast and safe aid to obtain the optimal lithium treatment dose.

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A computerised sampling strategy for therapeutic drug monitoring of lithium provides precise estimates and significantly reduces dose-finding time

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