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Defining a mood stabiliser: novel framework for research and clinical practice

Published online by Cambridge University Press:  20 July 2018

Gin S. Malhi*
Affiliation:
Treatment Algorithm Group (TAG), Academic Department of Psychiatry, Northern Sydney Local Health District, Sydney Medical School Northern, University of Sydney, Australia and CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, Australia
Richard Porter
Affiliation:
Treatment Algorithm Group (TAG) and Department of Psychological Medicine, University of Otago – Christchurch, New Zealand
Lauren Irwin
Affiliation:
Treatment Algorithm Group (TAG), Academic Department of Psychiatry, Northern Sydney Local Health District, Sydney Medical School Northern, University of Sydney, Australia and CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, Australia
Amber Hamilton
Affiliation:
Treatment Algorithm Group (TAG), Academic Department of Psychiatry, Northern Sydney Local Health District, Sydney Medical School Northern, University of Sydney, Australia and CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, Australia
Grace Morris
Affiliation:
Treatment Algorithm Group (TAG), Academic Department of Psychiatry, Northern Sydney Local Health District, Sydney Medical School Northern, University of Sydney, Australia and CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, Australia
Darryl Bassett
Affiliation:
Treatment Algorithm Group (TAG) and University of Western Australian Medical School, Australia, Faculty of Health and Medical Science, University of Western Australia, Australia
Bernhard T. Baune
Affiliation:
Treatment Algorithm Group (TAG) and Discipline of Psychiatry, University of Adelaide, Australia
Philip Boyce
Affiliation:
Treatment Algorithm Group (TAG) and Discipline of Psychiatry, Sydney Medical School, Australia and Westmead Clinical School, University of Sydney, Australia
Malcolm J. Hopwood
Affiliation:
Treatment Algorithm Group (TAG) and Department of Psychiatry, University of Melbourne, Australia
Roger Mulder
Affiliation:
Treatment Algorithm Group (TAG) and Department of Psychological Medicine, University of Otago – Christchurch, New Zealand
Gordon Parker
Affiliation:
Treatment Algorithm Group (TAG) and School of Psychiatry, University of New South Wales, Australia and Black Dog Institute, Australia
Zola Mannie
Affiliation:
Treatment Algorithm Group (TAG), Academic Department of Psychiatry, Northern Sydney Local Health District, Sydney Medical School Northern, University of Sydney, Australia and CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, Australia
Tim Outhred
Affiliation:
Treatment Algorithm Group (TAG), Academic Department of Psychiatry, Northern Sydney Local Health District, Sydney Medical School Northern, University of Sydney, Australia and CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, Australia
Pritha Das
Affiliation:
Treatment Algorithm Group (TAG), Academic Department of Psychiatry, Northern Sydney Local Health District, Sydney Medical School Northern, University of Sydney, Australia and CADE Clinic, Royal North Shore Hospital, Northern Sydney Local Health District, Australia
Ajeet B. Singh
Affiliation:
Treatment Algorithm Group (TAG) and School of Medicine, IMPACT Strategic Research Centre, Deakin University, Barwon Health, Australia
*
Correspondence: Gin S Malhi, Distinguished Professor, Sydney Medical School, University of Sydney, Sydney, NSW 2065, Australia. Email: gin.malhi@sydney.edu.au
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Summary

The term ‘mood stabiliser’ is ill-defined and lacks clinical utility. We propose a framework to evaluate medications and effectively communicate their mood stabilising properties – their acute and prophylactic efficacy across the domains of mania and depression. The standardised framework provides a common definition to facilitate research and clinical practice.

Declaration of interest

The Treatment Algorithm Group (TAG) was supported logistically by Servier who provided financial assistance with travel and accommodation for those TAG members travelling interstate or overseas to attend the meeting in Sydney (held on 18 November 2017). None of the committee were paid to participate in this project and Servier have not had any input into the content, format or outputs from this project.

Information

Type
Short report
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Royal College of Psychiatrists 2018
Figure 0

Fig 1. (a) The proposed framework appraises the efficacy of medications across four domains: their acute and prophylactic effectiveness against mania and depression. The size of the square in each domain reflects the efficacy of the medication. No square would indicate no effect (0), a small square indicates modest efficacy (*) and a large square indicates significant efficacy (**; as good as it gets). (b) Examples of the framework in action. At a glance, the framework communicates that lithium has significant efficacy in three domains (i.e. acute mania, prophylaxis against mania and prophylaxis against depression). Its efficacy in treating acute depression is rated as modest – partly because it takes considerable time to take effect. In contrast, quetiapine is more effective in the short term, but has only modest long-term efficacy, while lamotrigine is only effective in the treatment of bipolar depression, and more so for prophylaxis.

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