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

<strong>Background </strong>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. <br><strong> Objective </strong>We developed and validated a predictive model for sui...

Full description

Bibliographic Details
Main Authors: Fazel, S, Vazquez-Montes, MDLA, Molero, Y, Runeson, B, D'Onofrio, BM, Larsson, H, Lichtenstein, P, Walker, J, Sharpe, M, Fanshawe, TR
Format: Journal article
Language:English
Published: BMJ Publishing Group 2023
_version_ 1797110798421590016
author Fazel, S
Vazquez-Montes, MDLA
Molero, Y
Runeson, B
D'Onofrio, BM
Larsson, H
Lichtenstein, P
Walker, J
Sharpe, M
Fanshawe, TR
author_facet Fazel, S
Vazquez-Montes, MDLA
Molero, Y
Runeson, B
D'Onofrio, BM
Larsson, H
Lichtenstein, P
Walker, J
Sharpe, M
Fanshawe, TR
author_sort Fazel, S
collection OXFORD
description <strong>Background </strong>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. <br><strong> Objective </strong>We developed and validated a predictive model for suicide following self-harm. <br><strong> Methods </strong>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. <br><strong> Findings </strong>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). <br><strong> Conclusions </strong>OxSATS accurately predicts 12-month risk of suicide. Further validations and linkage to effective interventions are required to examine clinical utility. <br><strong> Clinical implications </strong>Using a clinical prediction score may assist clinical decision-making and resource allocation.
first_indexed 2024-03-07T07:59:51Z
format Journal article
id oxford-uuid:faf3782b-8706-4607-a2c7-aa83fdbeb1d1
institution University of Oxford
language English
last_indexed 2024-03-07T07:59:51Z
publishDate 2023
publisher BMJ Publishing Group
record_format dspace
spelling oxford-uuid:faf3782b-8706-4607-a2c7-aa83fdbeb1d12023-09-14T17:37:37ZRisk of death by suicide following self-harm presentations to healthcare: development and validation of a multivariable clinical prediction rule (OxSATS)Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:faf3782b-8706-4607-a2c7-aa83fdbeb1d1EnglishSymplectic ElementsBMJ Publishing Group2023Fazel, SVazquez-Montes, MDLAMolero, YRuneson, BD'Onofrio, BMLarsson, HLichtenstein, PWalker, JSharpe, MFanshawe, TR<strong>Background </strong>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. <br><strong> Objective </strong>We developed and validated a predictive model for suicide following self-harm. <br><strong> Methods </strong>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. <br><strong> Findings </strong>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). <br><strong> Conclusions </strong>OxSATS accurately predicts 12-month risk of suicide. Further validations and linkage to effective interventions are required to examine clinical utility. <br><strong> Clinical implications </strong>Using a clinical prediction score may assist clinical decision-making and resource allocation.
spellingShingle Fazel, S
Vazquez-Montes, MDLA
Molero, Y
Runeson, B
D'Onofrio, BM
Larsson, H
Lichtenstein, P
Walker, J
Sharpe, M
Fanshawe, TR
Risk of death by suicide following self-harm presentations to healthcare: development and validation of a multivariable clinical prediction rule (OxSATS)
title Risk of death by suicide following self-harm presentations to healthcare: development and validation of a multivariable clinical prediction rule (OxSATS)
title_full Risk of death by suicide following self-harm presentations to healthcare: development and validation of a multivariable clinical prediction rule (OxSATS)
title_fullStr Risk of death by suicide following self-harm presentations to healthcare: development and validation of a multivariable clinical prediction rule (OxSATS)
title_full_unstemmed Risk of death by suicide following self-harm presentations to healthcare: development and validation of a multivariable clinical prediction rule (OxSATS)
title_short Risk of death by suicide following self-harm presentations to healthcare: development and validation of a multivariable clinical prediction rule (OxSATS)
title_sort risk of death by suicide following self harm presentations to healthcare development and validation of a multivariable clinical prediction rule oxsats
work_keys_str_mv AT fazels riskofdeathbysuicidefollowingselfharmpresentationstohealthcaredevelopmentandvalidationofamultivariableclinicalpredictionruleoxsats
AT vazquezmontesmdla riskofdeathbysuicidefollowingselfharmpresentationstohealthcaredevelopmentandvalidationofamultivariableclinicalpredictionruleoxsats
AT moleroy riskofdeathbysuicidefollowingselfharmpresentationstohealthcaredevelopmentandvalidationofamultivariableclinicalpredictionruleoxsats
AT runesonb riskofdeathbysuicidefollowingselfharmpresentationstohealthcaredevelopmentandvalidationofamultivariableclinicalpredictionruleoxsats
AT donofriobm riskofdeathbysuicidefollowingselfharmpresentationstohealthcaredevelopmentandvalidationofamultivariableclinicalpredictionruleoxsats
AT larssonh riskofdeathbysuicidefollowingselfharmpresentationstohealthcaredevelopmentandvalidationofamultivariableclinicalpredictionruleoxsats
AT lichtensteinp riskofdeathbysuicidefollowingselfharmpresentationstohealthcaredevelopmentandvalidationofamultivariableclinicalpredictionruleoxsats
AT walkerj riskofdeathbysuicidefollowingselfharmpresentationstohealthcaredevelopmentandvalidationofamultivariableclinicalpredictionruleoxsats
AT sharpem riskofdeathbysuicidefollowingselfharmpresentationstohealthcaredevelopmentandvalidationofamultivariableclinicalpredictionruleoxsats
AT fanshawetr riskofdeathbysuicidefollowingselfharmpresentationstohealthcaredevelopmentandvalidationofamultivariableclinicalpredictionruleoxsats