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A risk calculator to predict suicide attempts among individuals with early-onset bipolar disorder

Authors :
Tina R. Goldstein
John Merranko
Danella Hafeman
Mary Kay Gill
Fangzi Liao
Craig Sewall
Heather Hower
Lauren Weinstock
Shirley Yen
Benjamin Goldstein
Martin Keller
Michael Strober
Neal Ryan
Boris Birmaher
Source :
Bipolar disordersREFERENCES. 24(7)
Publication Year :
2022

Abstract

To build a one-year risk calculator (RC) to predict individualized risk for suicide attempt in early-onset bipolar disorder.Youth numbering 394 with bipolar disorder who completed ≥2 follow-up assessments (median follow-up length = 13.1 years) in the longitudinal Course and Outcome of Bipolar Youth (COBY) study were included. Suicide attempt over follow-up was assessed via the A-LIFE Self-Injurious/Suicidal Behavior scale. Predictors from the literature on suicidal behavior in bipolar disorder that are readily assessed in clinical practice were selected and trichotomized as appropriate (presence past 6 months/lifetime history only/no lifetime history). The RC was trained via boosted multinomial classification trees; predictions were calibrated via Platt scaling. Half of the sample was used to train, and the other half to independently test the RC.There were 249 suicide attempts among 106 individuals. Ten predictors accounted for90% of the cross-validated relative influence in the model (AUC = 0.82; in order of relative influence): (1) age of mood disorder onset; (2) non-suicidal self-injurious behavior (trichotomized); (3) current age; (4) psychosis (trichotomized); (5) socioeconomic status; (6) most severe depressive symptoms in past 6 months (trichotomized none/subthreshold/threshold); (7) history of suicide attempt (trichotomized); (8) family history of suicidal behavior; (9) substance use disorder (trichotomized); (10) lifetime history of physical/sexual abuse. For all trichotomized variables, presence in the past 6 months reliably predicted higher risk than lifetime history.This RC holds promise as a clinical and research tool for prospective identification of individualized high-risk periods for suicide attempt in early-onset bipolar disorder.

Details

ISSN :
13995618
Volume :
24
Issue :
7
Database :
OpenAIRE
Journal :
Bipolar disordersREFERENCES
Accession number :
edsair.doi.dedup.....27a40a29bbf37d492ae6117b9e3f049a