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S216

24th European Congress of Psychiatry / European Psychiatry 33S (2016) S116–S348

Background

The ability to recognize facial emotion is consid-

ered as an important skill for social interaction. There is evidence

of impairments of this ability in psychiatric diseases such as

schizophrenia. The fact that this could be the same in bipolar disor-

der (BD) is controversial. Moreover, no studies address the impact

of aging on social cognition in BD.

Objective

The main objective of this study was to evaluate facial

emotion recognition (FER) in euthymic elderly patients with BD

compared to healthy elderly volunteers. The secondary objective

was to search for correlations between FER, clinical and neurocog-

nitive features.

Methods

Sixteen subjects with BD, in a euthymic state, with a

mean age of 73.94 years were included. They were assessed for FER

along with 16 healthy elderly volunteers. Neurocognitive abilities

were also assessed. A gender facial recognition task was used as

control.

Results

BD patients had lower FER performance compared to

healthy controls, more specifically in fear, disgust and anger recog-

nition. No differencewas found for happiness or for the gender task.

Additionally, correlations were found between disgust, recognition

and certain executive function (EF) abilities.

Limitations

The main limitation is the small size of the sample.

Also, we were not able to account for an influence of treatments.

Conclusions

FER in BD seems to weaken with aging, especially for

negative emotions, maybe with an impact of EF decline. Longitu-

dinal studies with larger samples are required to investigate this

issue and to explore possible correlations with cognitive decline or

psychosocial functioning.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.411

EW294

Connection between cognitive

impairment and risk factors that can

be prevented

J. Jovi´c

1 ,

, D .

Iganjtovi´c-Risti´c

2 , 3 , I. R

isti´c

4 , K. R

istovi´c

5 , A. I

li´c

1 ,

A. ´Corac

1

1

School of Medicine, University of Prishtina-Kosovska Mitrovica,

Department of Preventive Medicine, Kosovska Mitrovica, Serbia

2

Psychiatric clinic, Clinical Center “Kragujevac”, Psychiatry,

Kragujevac, Serbia

3

School of Medicine, University of Kragujevac, Psychiatry,

Kragujevac, Serbia

4

School of Medicine, University of Belgrade, Psychiatry, Beograd,

Serbia

5

The Public Health Institute of Uzice, Public Health, Uzice, Serbia

Corresponding author.

Introduction

Recent research in dementia was focused on deter-

mining risk factors that can be prevented. There is strong evidence

that these risk factors are: low levels of education, smoking, unreg-

ulated high blood pressure, blood sugar levels, blood lipid levels,

diabetes.

Objectives

Following some of the risk factors for cognitive

impairment that can be prevented.

Aim

Evaluating the connection between cognitive impairment

and education levels, blood glucose, cholesterol (chl) and triglyc-

eride (tgl) levels.

Methods

Two hundred and thirty-seven subjects (162 women

and 75 men), with an average age of 80.75

±

6.69 were included

in the research. Based on the MMSE score (single cutoff, < 24 is

abnormal), they were divided to a control group (without cognitive

impairment) and experimental group (with cognitive impairment).

We used Accu-Check Active appliance for determining blood levels

of tryglicerides, cholesterol and glucose.

Results

Subjects in the experimental group were significantly

older (chi = 2.13,

P

< 0.01). Glucose levels were higher in the exper-

imental group but the difference was not statistically significant

(chi = 0.13,

P

= 0.56). Cholesterol and trygliceride levelswere signifi-

cantly higher in subjects with cognitive impairment (chl–chi = 3.56,

P

< 0.05; tgl–chi = 8.78,

P

< 0.05). In the experimental group, there

was a statistically significant prevalence of subjects with less than

one year of education (chi = 13.8,

P

< 0.01).

Conclusion

Confirming the connections between cognitive

impairment and education levels, glucose, cholesterol and

trygliceride blood levels can lead towards potential strategies for

prevention of those parameters. Even though our research con-

firmed the results from previous scientific studies, the connection

should be tested in future randomized controlled trial.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.412

EW295

Cognitive functions and magnetic

resonance imaging findings in

patients with late onset major

depression

O. Khalaf

1 ,

, A.H. Hashem Hashem

2

, M. Nasr El Din Sadek

2

,

A. Ismail Kamel

3

, M. Al Adrousy Gomaa

2

1

Giza, Egypt

2

Faculty of Medicine, Cairo University, Psychiatry, Cairo, Egypt

3

Faculty of Medicine, Cairo University, Radiodiagnosis, Cairo, Egypt

Corresponding author.

Background

As many as three-quarters of patients with major

depressive disorder presenting to old age psychiatrists have late-

onset depression. Late-onset depression was conceptualized as

a neurologic disease and more often associated with cognitive

impairment than early-onset depression.

Objectives

To compare cognitive functions between early-onset

(< 60 years) and late-onset (

60 years) depression in geriatric

patients todetectwhitematter hyperintensities viaMRI usingmod-

ified Fazekas score.

Design

A cross-sectional, comparative study with a consecutive

sample.

Subjects

Eighty elderly patients with depression were recruited

from the Geriatric Outpatient Clinic-Psychiatry and Addiction Hos-

pital in Al Kasr Al-Ainy, Cairo University. They were divided

according to the age of onset of depression into 2 groups: Late onset

group (A) and Early onset group (B) depression, they were sub-

jected to the following: SCID-I, HDRS (Hamilton Depression Rating

Scale), BCRS (Brief Cognitive Rating Scale), GDS (Global deteriora-

tion Scale), ACE-R (Addenbrook’s Cognitive Examination-Revised),

Trail B Test, Digit symbol coding and Digit span subtest of Wechsler

Adult Intelligence Scale, MRI-Brain to assess white matter hyper-

intensities by using modified Fazekas rating.

Results

Group A had worse performance than group B in trail

B test, total memory score, verbal fluency test, total language

score, visuospatial abilities, the total (ACE-R) and ischemic changes

periventricular and in deep white matter were more in group A

than in group B.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.413