European Psychiatry - Volume 33 - March 2016

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24th European Congress of Psychiatry / European Psychiatry 33S (2016) S116–S348 S185
1 Medical University of Lublin, Department of Clinical
Neuropsychiatry I Department of Department of Psychiatry-
Psychotherapy and Early Intervention, Lublin, Poland
2 Medical University of Lublin, Department of Human Physiology,
Lublin, Poland
3 Medical University of Lublin, I Department of Department of
Psychiatry- Psychotherapy and Early Intervention, Lublin, Poland
∗ Corresponding author.
Introduction Monitoring patient with anorexia nervosa (AN)
include clinical, biological and psychological factors. In recent years
many researchers criticize the BMI as usefulmeasure for controlling
evolution of AN.
Objectives Bioelectrical impedance analysis (BIA) is one of the
main methods for nutritional status assessment.
Aims The aim of this study was the assessment of the nutrition
status in a group of patients with anorexia nervosa in comparison
to healthy population (HP).
Methods The study involved 37 participants: 21 patients with
AN and 16 healthy volunteers constituting the control group
(HP). The patients were divided into two groups according a
BMI: I group 14 < BMI < 15,5 (n = 11; age 18.0 ±4.37) and II group:
15,5 < BMI < 17,5 (n = 10; age 17.82± 3.68). The mean age of HP
was 17.68 ± 1.57 and BMI 20.56 ± 1.16 kg/m2. BIA was performed
by using ImpediMed bioimpedance analysis SFB7 BioImp. The
parameters: phase angle (PA), TBW%, ECW, ICW, ECW/ICW were
analyzed.
Results PA was decreased significantly in the I (4.5◦ ±0,6) and II
group (4.7◦ ±0,6) of AN patients’ in comparison with HP (5.6◦±0,7).
TBWwas 9% higher in I group and ECWwas increased 6% in the both
AN groups compared with HP (P < 0.01). Additionally ECW/ICW
ratio indicated the higher transfer of water into the extracellular
compartment in AN group (P < 0.01).
Conclusions BIA is accurate tool to indicate the valuable indica-
tors of detecting malnutrition in AN. Further studies are needed to
validate the significance of these parameters for the full identifica-
tion of the nutrition status of AN patients’.
Keywords Anorexia nervosa; Bioelectrical impedance; Phase
angle; TBW; ECW; ICW
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EW207
Assessment of night eating syndrome
prevalence and comorbidity among
patients with psychiatric disorders
I. Makhortova ∗, B. Tsygankov , O. Shiryaev
1 Voronezh State Medical University, Psychiatry and Neurology,
Voronezh, Russia
2 Moscow State Medico-Stomatological University, Psychiatry-
Necrology and Psychotherapy, Moscow, Russia
3 Voronezh State Medical University, Psychiatry and Narcology,
Voronezh, Russia
∗ Corresponding author.
Presence of NES increases frequency of comorbidity not only with
anxiety and depression but also with other psychiatric disor-
ders. The objective was to evaluate prevalence and comorbidity
of NES with other psychiatric disorders in outpatient population.
Participants were recruited from outpatients of Voronezh State
Psychoneurological Dispensary and LLC «LION-MED». In total, 197
(male and female) psychiatric outpatients participated in the study.
Results were controlled by comparison to a population of students
of Voronezh State Medical University (n = 227, male and female).
All participants were screened with Night Eating Questionnaire
(NEQ). After assessment all subjects, who gathered more than 20
scores were invited for therapeutic interview with psychiatrist for
diagnostic validation according to the criteria.
Results Thirty-five percent of patients were screened positive for
NES. After therapeutic assessment only 19,3% were validated with
diagnostic criteria. The results were significantly higher compared
to control group (8%, P < 0,05). Comparison of prevalence of dif-
ferent disorders in NES and non-NES outpatients was conducted
Conclusion Prevalence of NES among psychiatric outpatients is
19,3%. Prevalence of alcohol addiction, panic disorder and mixed
anxiety and depressive disorder is higher inNES group. Schizophre-
nia, generalized anxiety disorder is more prevalent in non-NES
group.
Table 1
ICD-10 Diagnosis NES
(n= 38) %
Non-NES
(n= 15
2
(df = 1)
P
F10.2 Alcohol addiction 34.21 23.08 8.592 0.003
F20 Schizophrenia 10.53 19.23 12.550 0.000
F41.0 Panic disorder 15.79 8.97 5.449 0.020
F41.1 Generalized anxiety
disorder
2.63 6.41 8.693 0.003
F41.2 Mixed anxiety and
depressive disorder
10.53 5.13 4.827 0.028
a 3 patients refused to visit interview.
Disclosure of interest The authors have not supplied their decla-
ration of competing interest.
EW208
Trends of hospitalization for anorexia
nervosa in USA: A nationwide analysis
Z. Mansuri ∗, M. Rathod , P. Bansal , U. Mansuri , S. Shambhu
1 Drexel University, School of Public Health, Philadelphia, USA
2 Mayo Clinic, Cardiology Research Fellow, Arizona, USA
3 Mount Sinai, Icahn School of Medicine Department of Public Health,
New York, USA
∗ Corresponding author.
Objectives Anorexia Nervosa (AN) is an important cause of mor-
bidity and mortality in hospitalized patients. While AN has been
extensively studied in the past, the contemporary data for impact
of AN on cost of hospitalization are largely lacking.
Methods We queried theHealthcare Cost andUtilization Project’s
Nationwide Inpatient Sample (HCUP-NIS) dataset between 1998-
2011 using the ICD-9 codes for AN. Severity of co-morbid conditions
was defined by Deyo modification of Charlson co-morbidity
index. Primary outcome was in-hospital mortality and secondary
outcome was total charges for hospitalization. Using SAS 9.2, chi-
square test, t-test and Cochran-Armitage test were used to test
significance.
Results 28,150 patients were analyzed. 93.94% were female and
6.06% were male ( P< 0.0001). 88.67% were white, 2.93% were black
and 8.4% were of other race (P < 0.0001). Rate of hospitalization
decreased from 1530/million to 1349.5/million from 1998-2011.
Overall mortality was 0.78% and mean cost of hospitalization
was 25,829.82$. The in-hospital mortality reduced from 0.95% to
0.44% (P < 0.0001) and mean cost of hospitalization increased from
11,956.55$ to 39,831.51$. Total yearly spending on AN related
admissions increased from $145.33 million/year to $420.61 mil-
lion/year.
Conclusions While mortality has slightly decreased from 1998 to
2011, the cost has significantly increased from$145.33million/year
to $420.61 million/year, which leads to an estimated $275.28 mil-
lion additional burden to the US health care system. In the era of
cost conscious care, preventing AN related Hospitalization could
save billions of dollars every year. Focused efforts are needed to
establish preventive measures for AN related hospitalization.