European Psychiatry - Volume 33 - March 2016

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S502 24th European Congress of Psychiatry / European Psychiatry 33S (2016) S349–S805
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EV479
Depressive episode among young
Moroccan students
I. Jaouahir ∗ . Azzaoui Ahami Faid
1 Faculty of Science, Department of Biology, Kenitra, Morocco
2 Faculty of Science Ben M’sik, Department of Biology, Casablanca,
Morocco
3 Agronomic and Veterinary Hassan II Institute, IAV, Rabat, Morocco
∗ Corresponding author.
Introduction In Morocco, 48.9% of the population surveyed in
2003, had at least one mental health disorder ood disorder
was the most prevalent psychopathology found among children of
15 years (26.5%)
Objective To study the prevalence of depressive episode (DE) of
young Moroccan students.
Subjects and methods The present study is a cross-sectional study
conducted among 942 students, aged 18 to 25 and studying in
a vocational training institute in Mohammedia (North West of
Morocco). DE is evaluated by the Mini International Neuropsychi-
atric Interview.
Results The results showed that 86% of trainees present a DE,
The distribution of DE percentages varies according to its differ-
ent degrees; 50% of studied students suffer from a severe DE, 62%
suffer from a moderate DE, 24% had a mild DE and 14% had no DE.
Conclusion The rate of depression is very high among these stu-
dents. Deeper investigations are needed to determine all factors
involved in this psychopathology.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
References
[1] Ministère de la Santé. Stratégie nationale, Santé mentale
et toxicomanie. Enquête nationale sur la santé, direction
d’épidémiologie; 2003.
[2] Asouab F, Agoub M, Kadri N, Moussaoui D, Rachidi S, Tazi
MA, et al. Prévalences des troubles mentaux dans la popula-
tion générale marocaine (enquête nationale). D.E.L.M. bulletin
épidémiologique; 2005.
EV480
Associations among immune
activation, the clinical characteristics,
and the current severity of the “with
anxious distress” specifier in patients
with depressive disorders
W.M. Bahk ∗, I.H. Shim , Y.S. Woo , S.Y. Lee , Y.J. Kwon ,
D.I. Jon . Seo . Nam Seo
1 Yeouido St. Mary’s Hospital, psychiatry, Seoul, Republic of Korea
2 Dongnam Institute of Radiological & Medical Sciences, psychiatry,
Busan, Republic of Korea
3 Wonkwang University School of Medicine, psychiatry, Iksan,
Republic of Korea
4 Soonchunhyang Cheonan Hospital, psychiatry, Cheonan, Republic of
Korea
5 Sacred Heart Hospital, Hallym University, psychiatry, Anyang,
Republic of Korea
6 Konkuk University, Chungju Hospital, psychiatry, Chungju, Republic
of Korea
∗ Corresponding author.
Introduction This study assessed the levels of immune factors,
demographic and clinical characteristics, and pharmacological
treatments of patients with depressive disorders and com-
pared them between patients with mild-to-moderate and
moderate/severe-to-severe anxiety.
Methods This study included 177 patients diagnosed with a
depressive disorder who were hospitalized between March 2012
and April 2015. The patients were categorized into mild-to-
moderate anxious distress andmoderate/severe-to-severe anxious
distress groups, based on the criteria of the Diagnostic and Statis-
tical Manual of Mental Disorders, Fifth Edition (DSM-5) based on
the “with anxious distress” specifier. The current severity of symp-
toms was determined using the Hamilton Depression Rating Scale
(HAM-D) scores on the Agitation and Anxiety-Psychic subscales.
The charts of the patients were reviewed to evaluate immune fac-
tors, including C-reactive protein (CRP) and white blood cell (WBC)
levels, confounding factors, such as smoking, other general med-
ical disorders, and body mass index (BMI), and demographic and
clinical characteristics.
Results The moderate–severe to severe anxious distress group
tended to have higher CRP and monocyte levels compared with the
mild to moderate anxious distress group. However, after adjust-
ing for the total HAM-D scores, there was a significant difference
only in monocyte levels. After this adjustment, patients with
moderate–severe to severe anxious distress had a significantly
greater trend toward significance for suicidality and a higher rate
of antipsychotic use.
Conclusions High levels of anxiety symptoms may influence
various underlying pathophysiological factors and modulate the
inflammatory response and course of illness, affecting treatment
planning.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EV481
The effectiveness of various potential
predictors of response to treatment
with SSRIs in patients with depressive
disorder
M. Bares ∗, T. Novak , M. Brunovsky
1 National Institute of Mental Health Czech Republic, 2nd
Department, Klecany, Czech Republic
2 National Institute of Mental Health Czech Republic, Department of
Applied Electrophysiology of Brain, Klecany, Czech Republic
∗ Corresponding author.
Introduction The substantial non-response rate in depressive
patients indicates a need to identify predictors of treatment out-
come.
Objective and aims The aim of the open-label, 6-week study was:
– to compare efficacy of a priori definedpredictors: ≥ 20% reduction
inMADRS score at week 1, ≥ 20% reduction inMADRS score at week
2 (RM ≥ 20% W2), decrease of prefrontal theta cordance value (RC)
and increase of serum/plasma brain-derived neurotrophic factor
(BDNF) at week 1;
– to assess whether the combination of these factors yield more
robust predictive power than when used singly.
Methods All patients (n = 38) were hospitalized and treated with
various SSRIs. Areas under curve (AUC) as well as predictive values
were calculated to compare predictive effect of single and com-
bined predictor model.
Results Twenty-one patients (55%) achieved response. The
RM ≥ 20% W2 (AUC-0.83) showed better predictive efficacy com-
pared to all other predictors with exception of RC. Other
significant differences were not detected. The identified (logis-
tic regression) combined predictive model (RM ≥ 20% W2 + RC)
predicted response with accuracy of 82% (AUC-0.92) and was
significantly better than other predictors but not RM ≥ 20% W2
and RC.