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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/m

2

. 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.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.324

EW207

Assessment of night eating syndrome

prevalence and comorbidity among

patients with psychiatric disorders

I. Makhortova

1 ,

, B. Tsygankov

2

, O. Shiryaev

3

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

( Table 1 ).

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

6 a ) %

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.

http://dx.doi.org/10.1016/j.eurpsy.2016.01.325

EW208

Trends of hospitalization for anorexia

nervosa in USA: A nationwide analysis

Z. Mansuri

1 ,

, M. Rathod

1

, P. Bansal

2

, U. Mansuri

3

, S. Shambhu

1

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.