Suicidal behavior (SB) is a major public health problem in France, with over 10,000 suicides
(6th in the EU28) and 220,000 suicide attempts (SA) per year. These data seem underestimated
by 20%. A large percentage of men (6%) and women (9%) in France made at least one lifetime
SA. In addition, SBs are common among young people and are the second leading cause of death
among 15-44 year-olds. The interaction of multiple factors in SB complicates the creation of
predictive models. These are currently imprecise and prevent the development of consensual
recommendations for the management of suicidal patients.
Most suicide attempters are evaluated in the emergency room where it is imperative to
identify people with a high risk of relapse. Risk assessment is generally based on the
experience of the practitioner who uses psychometric scales as support for clinical
decisions. This assessment could be improved and supplemented by other sources of
information. Thus, we aim to develop a short and specific tool that combines:
1. Neurocognitive measures carried out using computer software on domains strongly
associated with SB: impulsivity, affective dysregulation, alterations in decision-making
(risky choices), selective attention and verbal fluency.
2. Clinical and psychological assessment including the most predictive items of future SA:
life events (environment) and personality traits (vulnerability). Suicide attempters
will be assessed for SB and suicidal ideation in the emergency department. These
measures will be repeated during a 12-month follow-up. We will use the data obtained to
provide a more accurate measure of risk.