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25th European Congress of Psychiatry / European Psychiatry 41S (2017) S106–S169

S113

Managing bipolar disorder in pregnancy and postpartum is a chal-

lenge. There is lack of literature to inform that and an urgent need

for more data.

Objectives

To develop and validate a risk prediction model for

individual prognosis of the risk of recurrence of bipolar disorder

for women in the perinatal period.

Aims

To provide evidence-based information to helpwomen and

the clinicians that look after themmake decisions about their care,

taking into account the most recent scientific knowledge and their

individual characteristics.

Methods

The development of the model will be done in retro-

spective data from a large clinical cohort from the Bipolar Disorder

Research Network

(BDRN.org)

. The validation will be done in a

prospectively recruited sample.

Participants will be 2181 parous women with a lifetime diagno-

sis of bipolar disorder from BDRN and 300 prospectively recruited

pregnant women with a history of postpartum psychosis or bipolar

disorder.

Predictors will be chosen based on clinical experience and lit-

erature, from data collected via semi-structured interview (in

pregnancy and 3 months postpartum, medical and psychiatric

notes) e.g. medication, smoking, parity, obstetric complications and

sleep.

Results

N/A.

Conclusions

Wewill present the full predictionmodel (regression

coefficients and model intercept) and report performance meas-

ures (with CIs).

We will discuss its potential clinical use and implications for future

research.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.1890

EW0022

Review of risk prediction approaches

for bipolar episodes in the perinatal

period

M. Casanova Dias

1 ,

, I. Jo

nes

1 , A. D

i Florio

1 , L. J

ones

2 ,

N. Craddock

1

1

Cardiff University School of Medicine, MRC Centre for

Neuropsychiatric Genetics and Genomics, Cardiff, United Kingdom

2

Institute of Health & Society, Worcester University, Worcester,

United Kingdom

Corresponding author.

Introduction

The perinatal period is a high-risk period for the

development of illness episodes in women with bipolar disorder.

Relapse rates vary between 9 and 75% depending on the study. The

overall risk of a severe episode is approximately 20%. The impact

on women, the relationships with their babies and their families

can be devastating. In the UK costs to society are

£

8.1 billion per

year-cohort of births. The advice currently given to women is based

of general risk rates. Women’s needs of information for decision-

making in the perinatal period are not being met.

Objectives

To review the risk prediction approaches used for

women with bipolar disorder in the perinatal period.

Aims

To understand the existing risk prediction models and

approaches used for prognosis of the risk of recurrence of bipolar

disorder for women in the perinatal period.

Methods

Systematic literature search of public medical elec-

tronic databases and grey literature on risk prediction for bipolar

episodes in the perinatal period.

Results

Wewill present the existingmodels and approaches used

for risk prediction of illness episodes in the perinatal period.

Conclusions

Awareness of existing risk prediction models for

recurrence of bipolar disorder in the perinatal periodwill allowbet-

ter informed risk-benefit analysis of treatment and management

options.

This person-centred approach will help women and clinicians in

their decision-making at this crucial high-risk period.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.1891

EW0023

Physical health in early and late stages

of bipolar disorder

M.P. García-Portilla

1 ,

, L . d

e la Fuente-Tomás

1 ,

L. García-Álvarez

2 , P. S

ierra

3 , B. A

rranz

4 , M.

Sánchez

5 ,

G. Safont

5

1

University of Oviedo, Psychiatrist, Oviedo, Spain

2

CIBERSAM, Psychiatrist, Oviedo, Spain

3

Hospital La Fe, Psychiatrist, Valencia, Spain

4

Fundación San Juan de Dios, Psychiatrist, Barcelona, Spain

5

Hospital Mutua de Terrassa, Psychiatrist, Barcelona, Spain

Corresponding author.

Introduction

Bipolar disorder (BD) is related to high prevalence of

somatic comorbidities, health care costs, and premature mortality

[1] . S

ome evidence supports the view of BD as chronic, progressive

and multisystem disorder in which not only mental system, but

also somatic systems are involved

[2] .

Aim

To investigate differences in physical health in patients with

bipolar disorder at different stages (early vs. late) of the disease.

Methods

Cross-sectional, naturalistic, multicenter study. Sam-

ple: 110 outpatients with BD [68 early stage (diagnosed at least

5 years earlier) and 42 late stage (at least 20 years earlier)]. Assess-

ment: demographic and clinical variables; psychopathology: HDRS,

YMRS and CGI; biological information: anthropometric, vital signs

and lab results.

Results

Early stage group: mean age 40.1 (11.9), 66.2% females

and CGI = 3.6 (1.4). Late stage group: mean age 55.8 (8.2), 69.0%

females and CGI = 4.0 (1.4). Patients in early stage have significantly

higher levels of glucose (

t

=

4.007,

P

< 0.001), urea (

t

=

2.724,

P

= 0.008), creatinine (

F

= 0.560,

P

= 0.022), triglycerides (

t

=

3.501,

P

= 0.001), Fe (

t

= 2.871,

P

= 0.005) and insulin (

t

=

3.223,

P

= 0.002).

Moreover, they have higher Body Max Index (BMI) (

t

=

3.728,

P

< 0.000), abdominal circumference (

t

=

4.040,

P

< 0.000) and

greater number of somatic comorbidities (

t

=

2.101,

P

= 0.041).

Conclusions

– patients with bipolar disorders in late stages have

worse physical health than those in early stage.

– these results could be an indication that bipolar disorder might

better viewed as a multisystem disorder.

Disclosure of interest

The authors have not supplied their decla-

ration of competing interest.

References

[1] Kleine-Budde K, et al. Cost of illness for bipolar disorder: a

systematic review of the economic burden. Bipolar Disord

2014;16(4):337–53.

[2] Leboyer M, Soreca I, Scott J, et al. Can bipolar disorder be

viewed as a multi-system inflammatory disease? J Affect Disord

2012;141(1):1–10.

http://dx.doi.org/10.1016/j.eurpsy.2017.01.1892

EW0024

The late-onset bipolar disorder:

A comparative study

C. Derbel

, R. Feki , S. Ben Nasr , S. Bouhlel , B. Ben Hadj Ali

CHU Farhat Hached, Psychiatry, Sousse, Tunisia

Corresponding author.

Introduction

Bipolar disorders (BP) with late onset are under-

estimated by their frequency, their misleading presentations and

therapeutic difficulties due to the high prevalence of somatic co-

morbidities.