European Psychiatry - Volume 33 - March 2016

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24th European Congress of Psychiatry / European Psychiatry 33S (2016) S116–S348 S151
Aims To assess the clinical correlates of comorbid chronic tics/TS
in an inpatient preadolescent population.
Methods A retrospective naturalistic study of all patients admit-
ted to our unit from 2009 to 2014 was conducted. Children with
and without chronic tics/TS were compared in terms of age, gen-
der, family history of mental illness, history of neurodevelopmental
problems in siblings, medication on admission and at discharge,
length of admission and functional outcomes using Chi2 andt-tests
for categorical and continuous data respectively.
Results A total of 133 children (mean age = 11.2 years) were
included. Twenty-five (18.8%) were diagnosed with chronic tics/TS.
Autism spectrum disorder was the most commonly comorbid
diagnosis (84%), with the second most common being an anxi-
ety disorder/OCD (52%). Statistically significant higher percentages
of learning disability, neurodevelopmental problems in siblings,
medication at discharge and longer inpatient admissions were
identified in children with tics compared with the rest of the sam-
ple. No other differences were found.
Conclusions The prevalence of chronic tics/TS in children need-
ing inpatient treatment is significant. In our sample, chronic tics/TS
seem to represent a marker of increased neurodevelopmental
deviance and overall symptom severity.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
Classification
EW103
Diagnostic stability of acute and
transient psychotic disorder: A
systematic review and meta-analysis
Á. López Díaz ∗, S. Galiano Rus , A. Soler Iborte ,
J.I. Aznarte López , J.L. Fernández González
1 Hospital San Juan de la Cruz, Mental Health Services, Úbeda, Spain
2 Hospital San Agustín, Mental Health Services, Linares, Spain
∗ Corresponding author.
Introduction The validity and diagnostic stability of acute and
transient psychotic disorder (ATPD) has been questioned by sev-
eral authors, since its introduction in the International Statistical
Classification of Diseases (ICD-10).
Objective To determine the overall diagnostic stability of ATPD
in scientific literature.
Method A systematic review and meta-analysis of prospective
studies and retrospective chart reviews. Computerized search was
performed in MEDLINE/PubMed, EMBASE, and Google Scholar,
using the terms: “acute and transient psychotic disorder”, or
“acute psychosis”, and “stability”, or “outcome”, or “long-term”, or
“follow-up”, or “course”. Search was restricted to works in English
published between 1993 and 2015, according to ICD-10 criteria.
Opinion articles, individual case reports, researches with less than
ten subjects, and overlapping studies were excluded. Data analy-
sis was conducted using MedCalc software, version 15.8. Statistical
procedure was calculated for meta-analysis of proportions.
Results Twenty-six studies met the inclusion criteria (n = 10852).
For methodological purposes, a distinction was made between
short-term (less than 2 years), medium-term (between 2–7 years),
and long-term stability (more than 7 years). For short-term group
(k = 5), the overall stability was 60.69% (fixed effects model);
Cochran’s heterogeneity statistic Q = 14.9, I2 = 73.15%, P = 0.0049.
For medium-term group (k= 15), it was 49.99%; Q = 181.6,
I2 = 92.29%, P < 0.0001. For long-term group (k = 6), it was 61.86%;
Q = 35.12, I2 = 92.29%, P < 0.0001.
Conclusion The global stability of ATPD indicates at the validity
of the construct, but should be redefined in future revisions of ICD,
to clarify better diagnostic criteria, and more predictive power.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
Cognitive neuroscience
EW104
Human factors in driving accidents: A
cognitive investigation in the Gulf
context
Y. Alotaibi
Qatar University, Social Sciences, Doha, Qatar
Introduction Human factors have been reported as the reason
behind the majority of car accidents. However, to date, no stud-
ies at least in the Arab world generally and Gulf area specifically,
conducted a comprehensive examination of cognitive functioning
as potential predictors of car accidents and driving violations.
Objectives Examining the role of cognitive functions e.g., verbal
working memory, attentional control as predictors of traffic acci-
dents and driving violations.
Aims Examining the predictability of individual’s cognition of
occurrence of driving violations and accidents.
Methods The studywas carried on a sample of hundred and thirty
two participants whose age ranged between 24 and 31 years. They
were classified into groups of violators and non-violators, acci-
dent free and accident involved as well. Cognitive functioning were
measured using self-reports and task performance, and a series of
ANOVAS as well as stepwise multiple regressions were conducted
to test the research hypothesis.
Results Findings showed significant differences between viola-
tors and non-violators and between the accident free and accident
involved groups in almost all of the considered factors, except for
the decision making factor. Moreover, Pearson product-moment
correlations showed that there were significant negative correla-
tions between age, driving violations, and cognitive performance
and the accidents.
Conclusions Human cognition such as executive functioning and
mental planning are key factors for predicting driving behavior and
traffic accidents. The study results have many implications in diag-
nosing and preventing or at least reducing driving violations and
road accidents.
Disclosure of interest The author has not supplied his/her decla-
ration of competing interest.
EW105
Effects of negative autobiographical
memories retrieval on corticospinal
excitability and sensorimotor
integration
L. Mineo oncerto Patel yorga Coira
E. Chusid guglia attaglia ∗
1 Seton Hall University, Health and medical sciences, South Orange,
USA
2 Clinical and experimental medicine, Psychiatry Unit, Catania, Italy
3 New York College of Podiatric Medicine, Preclinical Sciences, NY,
USA