Identification of menstrual psychosis cases using electronic health records

doi:10.1192/bjp.2025.95

. 2025 Jun;226(6):418-420.

doi: 10.1192/bjp.2025.95.

Identification of menstrual psychosis cases using electronic health records

Thomas J Reilly^{1

2

3}, Edward Chesney^{3

4}, Adam Al-Diwani¹, Amelia Jewell³, Alexis E Cullen^{2

5}, Dominic Oliver^{1

6}, Philip McGuire^{1

6}

Affiliations

¹ Department of Psychiatry, University of Oxford, Oxford, UK.
² Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
³ South London and Maudsley NHS Foundation Trust, London, UK.
⁴ Department of Addictions, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
⁵ Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
⁶ NIHR Oxford Health Biomedical Research Centre, Oxford, UK.

PMID: 40545260
PMCID: PMC7617820
DOI: 10.1192/bjp.2025.95

Identification of menstrual psychosis cases using electronic health records

Thomas J Reilly et al. Br J Psychiatry. 2025 Jun.

. 2025 Jun;226(6):418-420.

doi: 10.1192/bjp.2025.95.

Authors

Thomas J Reilly^{1

2

3}, Edward Chesney^{3

4}, Adam Al-Diwani¹, Amelia Jewell³, Alexis E Cullen^{2

5}, Dominic Oliver^{1

6}, Philip McGuire^{1

6}

Affiliations

¹ Department of Psychiatry, University of Oxford, Oxford, UK.
² Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
³ South London and Maudsley NHS Foundation Trust, London, UK.
⁴ Department of Addictions, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
⁵ Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
⁶ NIHR Oxford Health Biomedical Research Centre, Oxford, UK.

PMID: 40545260
PMCID: PMC7617820
DOI: 10.1192/bjp.2025.95

No abstract available

Keywords: Psychotic disorders and schizophrenia; bioinformatics; bipolar type I or II disorders; case–control study; diagnosis and classification.

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Conflict of interest statement

Declaration of Interest

None. TJR, AAD and PM are members of the BJPsych editorial board. They did not take part in the review or decision-making process of this paper.

Figures

**Figure 1**
Forest plot of the association of symptom domains (left) and individual symptoms (right) with case-control status. Odds ratio >1 indicates higher proportion in cases, odds ratio <1 indicates higher proportion in controls. Black circle indicates statistical significance corrected at the False Discovery Rate of 5%

See this image and copyright information in PMC

References

1. Brockington I. Menstrual psychosis. World Psychiatry. 2005;4:9–17. - PMC - PubMed
1. Perera G, Broadbent M, Callard F, Chang C-K, Downs J, Dutta R, et al. Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource. BMJ Open. 2016;6:e008721. doi: 10.1136/bmjopen-2015-008721. - DOI - PMC - PubMed
1. Bobon D, Ansseau M. The AMDP-system in clinical psychopharmacology. Pharmacopsychiatry. 1986;19:55–7. - PubMed
1. Kuhn M, Johnson K. Applied Predictive Modeling. Springer; 2013. - DOI
1. Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society: Series B (Methodological) 1995;57:289–300.

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MR/W015943/1/MRC_/Medical Research Council/United Kingdom

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[1] Brockington I. Menstrual psychosis. World Psychiatry. 2005;4:9–17. - PMC - PubMed

[2] Brockington I. Menstrual psychosis. World Psychiatry. 2005;4:9–17. - PMC - PubMed

[3] Perera G, Broadbent M, Callard F, Chang C-K, Downs J, Dutta R, et al. Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource. BMJ Open. 2016;6:e008721. doi: 10.1136/bmjopen-2015-008721. - DOI - PMC - PubMed

[4] Perera G, Broadbent M, Callard F, Chang C-K, Downs J, Dutta R, et al. Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource. BMJ Open. 2016;6:e008721. doi: 10.1136/bmjopen-2015-008721. - DOI - PMC - PubMed

[5] Bobon D, Ansseau M. The AMDP-system in clinical psychopharmacology. Pharmacopsychiatry. 1986;19:55–7. - PubMed

[6] Bobon D, Ansseau M. The AMDP-system in clinical psychopharmacology. Pharmacopsychiatry. 1986;19:55–7. - PubMed

[7] Kuhn M, Johnson K. Applied Predictive Modeling. Springer; 2013. - DOI

[8] Kuhn M, Johnson K. Applied Predictive Modeling. Springer; 2013. - DOI

[9] Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society: Series B (Methodological) 1995;57:289–300.

[10] Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society: Series B (Methodological) 1995;57:289–300.

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Identification of menstrual psychosis cases using electronic health records

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Identification of menstrual psychosis cases using electronic health records

Authors

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Conflict of interest statement

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