Predicting suicide risk in 137,112 people with severe mental illness in Finland: external validation of the Oxford Mental Illness and Suicide tool (OxMIS).


Journal

Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664

Informations de publication

Date de publication:
18 04 2023
Historique:
received: 13 08 2022
accepted: 29 03 2023
revised: 27 03 2023
medline: 20 4 2023
pubmed: 19 4 2023
entrez: 18 04 2023
Statut: epublish

Résumé

Oxford Mental Illness and Suicide tool (OxMIS) is a standardised, scalable, and transparent instrument for suicide risk assessment in people with severe mental illness (SMI) based on 17 sociodemographic, criminal history, familial, and clinical risk factors. However, alongside most prediction models in psychiatry, external validations are currently lacking. We utilised a Finnish population sample of all persons diagnosed by mental health services with SMI (schizophrenia-spectrum and bipolar disorders) between 1996 and 2017 (n = 137,112). To evaluate the performance of OxMIS, we initially calculated the predicted 12-month suicide risk for each individual by weighting risk factors by effect sizes reported in the original OxMIS prediction model and converted to a probability. This probability was then used to assess the discrimination and calibration of the OxMIS model in this external sample. Within a year of assessment, 1.1% of people with SMI (n = 1475) had died by suicide. The overall discrimination of the tool was good, with an area under the curve of 0.70 (95% confidence interval: 0.69-0.71). The model initially overestimated suicide risks in those with elevated predicted risks of >5% over 12 months (Harrell's E

Identifiants

pubmed: 37072392
doi: 10.1038/s41398-023-02422-5
pii: 10.1038/s41398-023-02422-5
pmc: PMC10113231
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

126

Subventions

Organisme : Wellcome Trust
ID : 202836
Pays : United Kingdom
Organisme : Department of Health
ID : BRC-1215-20005
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 202836/Z/16/Z
Pays : United Kingdom
Organisme : Department of Health
ID : RP-2017-08-ST2-006
Pays : United Kingdom

Informations de copyright

© 2023. Crown.

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Auteurs

Amir Sariaslan (A)

Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK. amir.sariaslan@psych.ox.ac.uk.

Thomas Fanshawe (T)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

Joonas Pitkänen (J)

Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.

Andrea Cipriani (A)

Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK.

Pekka Martikainen (P)

Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland.
Centre for Health Equity Studies (CHESS), Stockholm University and Karolinska Institutet, Stockholm, Sweden.
Max Planck Institute for Demographic Research, Rostock, Germany.

Seena Fazel (S)

Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK. seena.fazel@psych.ox.ac.uk.

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Classifications MeSH