A one-compartment model provides benchmark Lithium dose prediction

This model sets a new benchmark for lithium dose prediction accuracy and requires only simple body measurements. Further validation work in larger, diverse samples and future developments, such as the ability of the model to back-calculate levels from samples taken outside the recommended 12-hour window, may support its translation and use in practice.

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Publication Details

Journal
Journal of Psychopharmacology
Published
2025-10-29
DOI
https://doi.org/10.1177/02698811251378508
Primary Topic
Advancements in Battery Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

A one-compartment model provides benchmark Lithium dose prediction

Philipp Ritter, Oisín N. Kavanagh, David A. Cousins, Victoria C. Wing et al.
Journal of Psychopharmacology
Advancements in Battery Materials
article

A one-compartment model provides benchmark Lithium dose prediction

Philipp Ritter, Oisín N. Kavanagh, David A. Cousins, Victoria C. Wing, Elliot Asprey, Katinka A. Edelmann
article en

Abstract

This model sets a new benchmark for lithium dose prediction accuracy and requires only simple body measurements. Further validation work in larger, diverse samples and future developments, such as the ability of the model to back-calculate levels from samples taken outside the recommended 12-hour window, may support its translation and use in practice.

Journal of Psychopharmacology
King's College London (GB), Cumbria Northumberland Tyne and Wear NHS Foundation Trust (GB), University Hospital Carl Gustav Carus (DE), Technische Universität Dresden (DE), Newcastle University (GB)
Openalex Percentile: Top 69%
Advancements in Battery Materials
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