European Psychiatry - Volume 41 - April 2017

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S312 25th European Congress of Psychiatry / European Psychiatry 41S (2017) S303–S364
depression was recorded. The D group started smoking earlier, but
without differences of cigarettes daily.
Conclusions The group of alcoholicswith depression started smo-
king earlier. They were characterized by higher neuroticism and
lower extraversion on admission, which could predict persistent
secondary depression. Screening on personality traits among
alcoholics on admission could improve prevention of secondary
depression after alcohol withdrawal.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EW0602
Addictive status in neurotic disorders
N. Maruta ∗, S. Kolyadko , G. Kalenska , M. Denysenko
Institute of neurology, psychiatry and narcology, National academy
of medical science of ukraine SI, borderline pathology, urgent
psychiatry and narcology, Kharkiv, Ukraine
∗ Corresponding author.
Introduction At the present stage of psychiatry development, the
problem of co-morbidity, which is an important factor determi-
ning the effectiveness of treatment. One of such tendencies is the
combination of neurotic pathology and addictive behavior (AB).
Objectives To research AB features in neurotic disorders.
Methodology One hundred and forty-eight patients with neuro-
tic disorders: neurasthenia (F48.0), dissociative disorder (F44.7),
anxiety-phobic disorder (F40.8), according to ICD-10 criteria.
Clinical-psychopathological, psychodiagnostic (AUDIT-like tests),
statistical methods were used.
Results It was found out that the patients with neurotic disor-
ders had a high risk of AB formation (59.73%). The most
prominent among AB were: the use of psychoactive substances
(tea/coffee [11,682], tobacco [8,091], sedatives [6,964], food addic-
tion [14,036]), as well as socio-acceptable AB, such as Internet
(13,527), watching television (9,982), computer games (2,909),
shopping (7,264), workaholism (15,018). Socio-demographic cha-
racteristics of the generation of neurotic disorders with AB were
determined: young age (50.46%), AB presence among the sur-
rounding people (91.64%), a short interval of time between the
psychogenic factor exposure and the first signs of neurotic disor-
der (50.46%). The clinical pattern of neurotic disorders with AB was
characterized by a predominance of anxiety-obsessive (35.78%),
as well as anxiety-phobic (45.95%) syndromes associated with
AB: “Shopping” ( −0.32; −0.51, respectively), “Sleeping pills, seda-
tives” (− 0.37;−0.42), “Sex” (−0.41; −0.37) and “Tea/coffee” (−0.34;
−0.39).
Conclusions The data obtained determine AB specificity and
should be taken into account in pharmaco – and psychotherapy.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EW0603
Addiction co-morbidity in bipolar
disorder
A. Baatout Ouali ∗ omli Elkefi umaya
F. Nacef
1 Razi hospital, psychiatry A, Mannouba, Tunisia
2 Hôpital militaire, service de psychiatrie, Tunis, Tunisia
∗ Corresponding author.
Introduction Addiction is often underdiagnosed in bipolar disor-
der (BD), although it is frequent and known to complicate its clinical
course.
Objectives The aim of our study was to study socio-demographic
and clinical factors associated with addiction in BD patients.
Methods This is a retrospective, cross-sectional, descriptive and
comparative study on 100 patients followed in our department and
diagnosed with BD type I according to DSM 5. Demographic and
clinical data was compared across the groups: Addiction + (A + ) and
Addiction–(A −).
Results Nighteen patients had an addiction co-morbidity (A + ),
whereas 81 had not (A − ). The mean age of the (A + ) group
was 39.47 years whereas it was 42.52 years in the (A −)
group. Males represented 68.4% of the (A + ) group and 48.1%
of the (A − ) group. Age of illness onset was lower in the (A + )
group (mean = 23.16, median = 21) compared to the (A −) group
(mean = 26.04, median = 27). Addiction co-morbidity was signifi-
cantly associated with predominant manic polarity (P = 0.03). All
(A + ) patients presented mood episodes with psychotic features,
whereas psychotic features were only found in 86.6% of (A −)
patients. Co-morbid addiction was significantly associated with
a higher number of mood episodes (P = 0.04), a higher number
and duration of hospitalisations ( P = 0.02, P = 0.015), and a poorer
compliance (P = 0.07). All A+ subjects received antipsychotics, and
they were significantly more to receive long-acting antipsychotics
(P = 0.06).
Conclusions Addictions worsen the prognosis of bipolar disorder
and require specific therapeutic strategies. They deserve therefore
the particular attention of clinicians.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EW0604
Trajectories of depression and anxiety
symptoms in coronary heart disease
strongly predict health care costs
J. Palacios ∗, M. Khondoker , A. Mann , A. Tylee , M. Hotopf
1 Institute of psychiatry, psychology, and neuroscience, psychological
medicine, London, United Kingdom
2 Institute of psychiatry, psychology, and neuroscience, biostatistics,
London, United Kingdom
3 Institute of psychiatry, psychology, and neuroscience, health service
and population research, London, United Kingdom
∗ Corresponding author.
Introduction There is little information describing the trajecto-
ries of depression and anxiety symptomatology in the context of
coronary heart disease (CHD), and their comparison according to
sociodemographic and disabilitymeasures, cardiac risk factors, and
health care costs.
Methods Using a primary care cohort of 803 patients with a
diagnosis of CHD, a latent class growth curve model was deve-
loped to study the distinct trajectories of depression and anxiety
symptoms (using the hospital anxiety and depression scale) over a
3-year period comprised of 7 distinct follow-uppoints. Multinomial
regression analysis was then conducted to study the association
between latent classes, baseline risk factors, and total health care
costs across time.
Results The 5-class model yielded the best combination of sta-
tistical best-fit analysis and clinical correlation. These classes were
as follows: “stable asymptomatic” (n = 558), “worsening” (n = 64),
“improving” (n = 15), “chronic high” (n = 55), and “fluctuating symp-
tomatology” (n = 111). The comparison group was the “stable
asymptomatic” class. The symptomatic classes were younger and
had higher proportion of women, and were also associated with
non-white ethnicity, being a current smoker, and having chest pain.
Other measures of disease severity, such as a history of myocardial
infarction and co-morbidities, were not associatedwith classmem-
bership. The highest mean total health care costs across the 3 years
were the “chronic high” and “worsening” class, with the lowest
being the “improving” and “stable low” classes. The total societal