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S68

24th European Congress of Psychiatry / European Psychiatry 33S (2016) S56–S71

The goals of this study are to analyze the pattern of SC variables in

schizophrenia using cluster analysis, to examine the relationship

of real-life functioning with cluster membership, and to identify

cut-offs that best discriminate among clusters in a large sample

of patients with schizophrenia recruited to the Italian Network for

Research on Psychoses (NIRP). A full assessment of different aspects

of SC was carried out, including emotional intelligence, recognition

and theory of mind (TOM).

Disclosure of interest

The author has not supplied his declaration

of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.972

W39

The effects of integrated treatment

with atypical antipsychotics and

social cognition training on functional

outcome

G. Sachs

1 ,

, B. Winklbaur

1

, A. Erfurth

2

1

Medical University of Vienna, Department of Psychiatry and

Psychotherapy, Vienna, Austria

2

Otto-Wagner-Spital, 6th Psychiatric Department, Vienna, Austria

Corresponding author.

Social cognition is impaired in patients with schizophrenia

[1] . T

his

impairment is one of the core features of the illness and has a clear

impact on functional outcome.

While conventional antipsychotics might have a worsening effect

on social cognition, e.g. on amygdala attenuation in fMRI studies on

facial recognition

[2] , a

typical antipsychotics might not show this

effect

[3] .

Social cognitive training

[4]

– such as the training of affect

recognition

[5]

– is a promising approach in the treatment of

schizophrenia.

Holistic strategies including both treatment with atypical antipsy-

chotics and social cognitive training can improve functional

outcome in patients with schizophrenia

[6] .

Disclosure of interest

The author has not supplied his declaration

of competing interest.

References

[1] Green MF, et al. Nat Rev Neurosci 2015;16(10):620–31.

[2] Fahim C, et al. Psychiatry Res 2005;140(1):1–15.

[3] Sachs G, et al. Psychiatry Res 2012;202(2):168–71.

[4] Kurtz MM, et al. Clin Psychol Rev 2015 [Epub ahead of print].

[5] Wölwer W, et al. Schizophr Res 2005;80(2–3):295–303.

[6] Sachs G, et al. Schizophr Res 2012;138(2–3):262–7.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.973

Suicide risk evaluation: From research to clinical

practice

w40

Future direction of suicidal risk

assessment

H. Blasco-Fontecilla

CIBERSAM, Autonoma University, Navacerrada, Spain

Objective

to explore future directions on the assessment of the

risk of suicidal behavior (SB).

Methods

narrative review of current and future methods to

improving the assessment of the risk of suicidal behavior (SB).

Results

Predicting future SB is a long-standing goal. Currently, the

identification of individuals at risk of SB is based on clinician’s sub-

jective reports. Unfortunately, most individuals at risk of SB often

do not disclose their suicidal thoughts. In the near future, predict-

ing the risk of SB will be enhanced by: (1) introducing objective,

reliable measures – i.e. biomarkers – of suicide risk; (2) select-

ing the most discriminant variables, and developing more accurate

measures – i.e. questionnaires – and models for suicide predic-

tion; (3) incorporating new sources of information – i.e. facebook,

online monitoring; (4) applying novel methodological instruments

such as data mining, or computer adaptive testing; and, (5) most

importantly, combining predictors fromdifferent domains (clinical,

neurobiological and cognitive).

Conclusions

Given the multi-determined nature of SB, a combi-

nation of clinical, neuropsychological, biological, and neuroimaging

factors, among other might help overcome current limitations in

the prediction of SB. Furthermore, given the complexity of predic-

tion of future SB, currently our efforts should be focused on the

prevention of SB.

Disclosure of interest

The author has not supplied his declaration

of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.974

W41

New technologies for detecting

suicidal risk of psychiatric patients

J. Lopez-Castroman

CHRU de Nimes, Psychiatry, Nimes, France

Suicide is a major health issue with considerable human and

economic costs. There have been many attempts to develop tech-

niques capable of predicting future suicidal behavior, but known

risk factors are insufficiently specific. However, during the last

decades, technical developments have made possible the use of

new technologies to assess potential clinical markers for psy-

chiatric patients. In many cases the technologies are affordable,

wearable and interconnected, multiplying the wealth of data

resulting from their use. Quite logically, psychiatrists from all over

the world are investing in recently developed devices for their

research projects and have consequently started to collaborate

with engineering and pattern recognition groups in the study of

potential clinical markers. These groups provide the expertise and

computational methods required to process this wealth of data,

and can improve the classification accuracy to predict a certain

condition using data mining techniques. In the field of suicidal

behavior, new devices that capture promising predictors such as

electrodermal response activity, some facial expressions or speech

properties have been developed and are being tested. In view of

these facts, during the workshop we will review some of the new

methodologies that can be used for the assessment of suicidal risk

and how can multidisciplinary and complementary approaches be

implemented.

Disclosure of interest

The author has not supplied his declaration

of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.975

W42

Electrodermal hyporeactivity

evaluation for detecting suicidal

propensity in depressed patients

L.H. Thorell

Linkoping University, Linkoping, Sweden

Introduction

Since 1987 several publications have focused on

electrodermal reactivity in groupswithdifferent suicidal behaviors,

but with varying results. However, using an untraditional statisti-

cal approach with clinical application in focus revealed between

themselves confirming results of a strong relationship between

electrodermal hyporeactivity and suicide.