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Risk of death by suicide following self-harm presentations to healthcare : development and validation of a multivariable clinical prediction rule (OxSATS)

Fazel, Seena (author)
Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Oxford, UK
Vazquez-Montes, Maria D. L. A. (author)
Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, UK
Molero, Yasmina (author)
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
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Runeson, Bo (author)
Karolinska Institutet
D'Onofrio, Brian M. (author)
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden; Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, Indiana, USA
Larsson, Henrik, 1975- (author)
Örebro universitet,Institutionen för medicinska vetenskaper,Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
Lichtenstein, Paul (author)
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
Walker, Jane (author)
Psychological Medicine Research Department of Psychiatry, University of Oxford, Oxford, UK
Sharpe, Michael (author)
Psychological Medicine Research Department of Psychiatry, University of Oxford, Oxford, UK
Fanshawe, Thomas R (author)
Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, UK
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 (creator_code:org_t)
BMJ Publishing Group Ltd, 2023
2023
English.
In: BMJ Mental Health. - : BMJ Publishing Group Ltd. - 2755-9734. ; 26:1
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • BACKGROUND: Assessment of suicide risk in individuals who have self-harmed is common in emergency departments, but is often based on tools developed for other purposes. OBJECTIVE: We developed and validated a predictive model for suicide following self-harm.METHODS: We used data from Swedish population-based registers. A cohort of 53 172 individuals aged 10+ years, with healthcare episodes of self-harm, was split into development (37 523 individuals, of whom 391 died from suicide within 12 months) and validation (15 649 individuals, 178 suicides within 12 months) samples. We fitted a multivariable accelerated failure time model for the association between risk factors and time to suicide. The final model contains 11 factors: age, sex, and variables related to substance misuse, mental health and treatment, and history of self-harm. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis guidelines were followed for the design and reporting of this work.FINDINGS: An 11-item risk model to predict suicide was developed using sociodemographic and clinical risk factors, and showed good discrimination (c-index 0.77, 95% CI 0.75 to 0.78) and calibration in external validation. For risk of suicide within 12 months, using a 1% cut-off, sensitivity was 82% (75% to 87%) and specificity was 54% (53% to 55%). A web-based risk calculator is available (Oxford Suicide Assessment Tool for Self-harm or OxSATS).CONCLUSIONS: OxSATS accurately predicts 12-month risk of suicide. Further validations and linkage to effective interventions are required to examine clinical utility.CLINICAL IMPLICATIONS: Using a clinical prediction score may assist clinical decision-making and resource allocation.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Psykiatri (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Psychiatry (hsv//eng)

Keyword

Adult psychiatry
Depression & mood disorders
Substance misuse
Suicide & self-harm

Publication and Content Type

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