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Stratification of the risk of bipolar disorder recurrences in pregnancy and postpartum

Published online by Cambridge University Press:  21 June 2018

Arianna Di Florio*
Affiliation:
Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK and Department of Psychiatry, University of North Carolina at Chapel Hill, USA
Katherine Gordon-Smith
Affiliation:
Department of Psychological Medicine, University of Worcester, UK
Liz Forty
Affiliation:
Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK
Michael R. Kosorok
Affiliation:
Department of Biostatistics, University of North Carolina at Chapel Hill, USA
Christine Fraser
Affiliation:
Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK
Amy Perry
Affiliation:
Department of Psychological Medicine, University of Worcester, UK
Andrew Bethell
Affiliation:
Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK
Nick Craddock
Affiliation:
Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK
Lisa Jones
Affiliation:
Department of Psychological Medicine, University of Worcester, UK
Ian Jones
Affiliation:
Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, UK and Department of Psychological Medicine, University of Worcester, UK
*
Correspondence: Arianna Di Florio, Hadyn Ellis Building, Maindy Road, Cardiff CF24 4HQ, UK. Email: diflorioa@cf.ac.uk
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Abstract

Background

Pregnancy and childbirth are a period of high risk for women with bipolar disorder and involve difficult decisions particularly about continuing or stopping medications.

Aims

To explore what clinical predictors may help to individualise the risk of perinatal recurrence in women with bipolar disorder.

Method

Information was gathered retrospectively by semi-structured interview, questionnaires and case-note review from 887 women with bipolar disorder who have had children. Clinical predictors were selected using backwards stepwise logistic regression, conditional permutation random forests and reinforcement learning trees.

Results

Previous perinatal history of affective psychosis or depression was the most significant predictor of a perinatal recurrence (odds ratio (OR) = 8.5, 95% CI 5.04–14.82 and OR = 3.6, 95% CI 2.55–5.07 respectively) but even parous women with bipolar disorder without a previous perinatal mood episode were at risk following a subsequent pregnancy, with 7% developing postpartum psychosis.

Conclusions

Previous perinatal history of affective psychosis or depression is the most important predictor of perinatal recurrence in women with bipolar disorder and can be used to individualise risk assessments.

Declaration of interest

None.

Information

Type
Papers
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 re-use, 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 Participant selection and analytic plan.

Figure 1

Table 1 Sample characteristics

Figure 2

Table 2 Probability of having an episode in the second perinatal period, given the psychiatric outcome of the first pregnancy in women with bipolar I disorder or schizoaffective disorder, bipolar type

Figure 3

Table 3 Probability of having an episode in the second perinatal period, given the psychiatric outcome of the first pregnancy in women with bipolar II disorder and bipolar disorder not otherwise specified

Figure 4

Fig. 2 Flow chart for risk assessment of perinatal episodes in women with bipolar disorder who have already had children.

Hypomania was not included in the analyses, because of the difficulties in assessing the clinical relevance of hypomanic symptoms in the postpartum period and the validity and reliability of a retrospective account.12
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