European Psychiatry - Volume 41 - April 2017

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25th European Congress of Psychiatry / European Psychiatry 41S (2017) S106–S169 S135
Objectives/Aims To describe the presence of dual diagnosis and
treatment model received in a sample recruited from a drug abuse
community center in Barcelona (CAS Barceloneta).
Methods Cross-sectional descriptive analysis of an outpatient
center for SUD clinical sample regarding psychiatric co-morbidity
(DSM-IV-TR criteria), social-demographic characteristics and treat-
ment model received.
Results In the moment of this study, a total of 574 SUD patients
are attended at CAS Barceloneta. Of them, 300 (52%) present
a dual diagnosis, 64% men, mean age = 48 (SD = 11.29). Thirteen
percent (n = 40) of dual patients have psychotic disorder (PsyD)
diagnosis and their SUD co-morbidities are: alcohol-UD (12.5%,
n = 5), cocaine-UD (7.5%, n = 3), cannabis-UD (15%, n = 6), opioids-UD
(17.5%, n = 7) and multiple SUD (47.5%, n = 19). Half of dual patients
with PsyD (n = 20) are attended in parallel in community mental
health centers.
Conclusions Our results suggest there is an important percent-
age of SUD patients that present psychiatric co-morbidity treated
in drug abuse community centers. Parallel treatment is mainly for
PsyD patients and sometimes they get lost in the gaps. We would
need to develop specific dual programs to give these patients an
integrated assistance.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EW0089
Chronic somatic and psychiatric
co-morbidities are associated with
psychiatric treatment success; A
nested cross-sectional study
I. Filipcic ∗, I. Simunovic Filipcic , M. Rojnic Kuzman ,
G. Vladimir , P. Svrdlin , S. Vuk Pisk , Z. Bajic
1 Psychiatric hospital Sveti Ivan, Department of integrative
psychiatry, Zagreb, Croatia
2 University Hospital Zagreb, Department of psychological medicine,
Zagreb, Croatia
3 University Hospital Zagreb, Department of psychiatry, Zagreb,
Croatia
4 Psychiatric Hospital, Sveti Ivan“, Department of integrative
psychiatry, Zagreb, Croatia
5 Biometrika Healthcare Research, Biometrika Healthcare Research,
Zagreb, Croatia
∗ Corresponding author.
Introduction A rich body of literature dealt with somatic co-
morbidities of psychiatric illnesses. However, relatively few
explored the association of somatic and psychiatric co-morbidities
with psychiatric treatment success.
Objective Objective of this analysis was to explore chronic
somatic and psychiatric co-morbidities association with the aver-
age number of psychiatric re-hospitalisations annually.
Methods This cross-sectional analysis was done on the baseline
data of prospective cohort study “Somatic co-morbidities in psy-
chiatric patients” started during 2016 at Psychiatric hospital Sveti
Ivan, Zagreb, Croatia. We included 798 patients. Outcome was the
average number of psychiatric re-hospitalisations annually since
the diagnosis. Predictors were number of chronic somatic and psy-
chiatric co-morbidities. Covariates that we controlled were sex,
age, BMI, marital status, number of householdmembers, education,
work status, duration of primary psychiatric illness, CGI–severity at
diagnosis, treatment with antidepressants and antipsychotics.
Results Interaction of somatic and psychiatric co-morbidities
was the strongest predictor of the average number of psy-
chiatric re-hospitalisations annually (P < 0.001). Mean number
of re-hospitalisations annually adjusted for all covariates, was
increasing from 0.60 in patients with no chronic co-morbidities,
up to 1.10 in patients with ≥ 2 somatic and ≥ 2 psychiatric co-
morbidities.
Conclusion Somatic and psychiatric co-morbidities are indepen-
dently associated with the psychiatric treatment success. Further
studies should look at possible causal pathways between them,
and interdisciplinary treatment of psychiatric patients is urgently
needed.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EW0090
Obsessive compulsive personality
disorder and autism spectrum
disorder traits in the
obsessive-compulsive disorder clinic
W. Gadelkarim ∗, S. Shahper , J. Reid , M. Wikramanayake ,
S. Kaur , S. Kolli , N. Fineberg , S. Osman
1 Hertfordshire Partnership University NHS Foundation Trust & North
Essex Partnership University NHS Foundation Trust, Highly
Specialized OCD services, Welwyn Garden City, United Kingdom
2 University of Hertfordshire, Highly Specialized OCD service, Welwyn
Garden City, United Kingdom
3 Hertfordshire Partnership University NHS Foundation Trust, Highly
Specialized OCD services, Welwyn Garden City, United Kingdom
4 Cambridge and Peterborough foundation trust, Acute Mental Health
services, Cambridge, United Kingdom
5 Hertfordshire Partnership University NHS Foundation Trust, Crisis
Assessment & Treatment Team, Welwyn Garden City, United Kingdom
6 East London Foundation Trust, Early Intervention Team, Bedford,
United Kingdom
7 Hertfordshire Partnership University NHS Foundation Trust &
University of Hertfodshire, Highly Specialized OCD services, Welwyn
Garden City, United Kingdom
8 Northumbria Tyne and Wear NHS Foundation Trust, General Adult,
Northumberland, United Kingdom
∗ Corresponding author.
Introduction Obsessive Compulsive Personality Disorder (OCPD)
is a common, highly co-morbid disorder. Subjected to compara-
tively little research, OCPD shares aspects of phenomenology and
neuropsychology with obsessive-compulsive spectrum disorders
and neurodevelopmental disorders such as autism spectrum disor-
der (ASD). A greater understanding of this interrelationship would
provide new insights into its diagnostic classification and generate
new research and treatment heuristics.
Aims To investigate the distribution of OCPD traits within a
cohort of OCD patients. To evaluate the clinical overlap between
traits of OCPD, OCD and ASD, as well as level of insight and treat-
ment resistance.
Method We interviewed 73 consenting patients from a treat-
ment seeking OCD Specialist Service. We evaluated the severity of
OCPD traits (Compulsive Personality Assessment Scale; CPAS), OCD
symptoms (Yale–BrownObsessive Compulsive Scale; Y-BOCS), ASD
traits (Adult Autism Spectrum Quotient; AQ) and insight (Brown
Assessment of Beliefs Scale; BABS).
Results Out of 67 patients, 24 (36%)met DSM-IV criteria for OCPD,
defined using the CPAS. Using Pearson’s test, CPAS scores signifi-
cantly (P < 0.01) correlated with total AQ and selected AQ domains
but not with BABS. Borderline significant correlation was observed
with Y-BOCS (P = 0.07). OCPD was not over-represented in a highly
resistant OCD subgroup.
Conclusion Disabling OCPD traits are common in the OCD clinic.
They strongly associate with ASD traits, less strongly with OCD
severity and do not appear related to poor insight or highly
treatment-resistant OCD. The impact of OCPD on OCD treatment
outcomes requires further research.