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neuroimaging and psychometric testing without reviewing history

and physical features in the assessment.


1. Lakshmanan DA, Butler R and Lockington T. Effective intervention

in a case of dementia with Lewy bodies.

Kent Journal of Mental


2010; 6: 8


2. Brunet MD

et al.

There is no evidence base for proposed dementia



2012; 345: e8588.

3. Netto I, Iyer A and Kamble P. The efficacy of Rivastigmine in the

management of the behavioral and psychological symptoms of

lewy-body dementia

a review of literature.

International J. of

Healthcare and Biomedical Research.

2014; 2(4): 53


4. Grace J

et al.

Long-term Use of Rivastigmine in Patients with

Dementia with Lewy Bodies: An Open-Label Trial.



2001; 13(2): 199



Relationship quality and sense of coherence in dementia: a scoping


M.J. Marques


, M. Gonçalves-Pereira


, B. Woods





Medical School/Faculdade de Ciências Médicas, Universidade Nova de

Lisboa, Portugal;


Bangor University, Wales, United Kingdom


Relationship quality (RQ) and Antonovsky

s sense

of coherence (SOC) are important factors that protect and promote

health in stressful situations, such as the adaptation to dementia. A

previous qualitative research with couples in dementia showed the

importance of these factors to encourage positive patterns of care,

foster successful adaptation to changing needs, and support in-home

arrangements as long as possible.


We conducted a scoping review on the role of RQ and SOC

in dementia, to provide direction for ensuing systematic reviews, to

explore gaps in present research and to identify and define more

precise research questions.


There is a lack of research exploring the association between

RQ and SOC in dementia. SOC is assumed to be relatively stable in

adulthood, at least for people with an initial high SOC. Therefore, it

seems important to understand its role as a determinant or mediator

of the RQ. However, there are no longitudinal studies addressing how

the relationship between SOC and RQ may change over time.

Key conclusions:

The study of RQ and SOC may prove of great

importance in progressive health conditions. We need to understand

how RQ and SOC relate directly to each other in dementia, taking into

account the perspectives of both patients and informal carers, and

using longitudinal designs and mixed-methods approaches.


Improving the selection of patients that might benefit from

referral to a memory clinic

V.H. Meijer, L. Hempenius.

Medisch Centrum Leeuwarden


The number of patients referred to memory clinics are

steadily rising. To optimize the selection of patients that could benefit

from referral, we evaluated those patients with memory complaints

that did not receive the diagnosis of a neurodegenerative disease.


In this retrospective study we analysed all patients that

visited the memory clinic of Medical Centre Leeuwarden from July

2014 until July 2015 (N = 362) by studying their medical record.

Information was gathered about referral, patient characteristics,

mood complaints, nutritional status, functional dependency, caregiver

burden and diagnosis. Independent samples T-test as well as one-way

ANOVA were used for analysis.


Patients without dementia were referred by their family

doctor (59%), neurologist (21%), psychiatrist (7%) or other physician

(12%). Memory complaints in this group were attributed to a

depression (21%), other psychiatric diagnoses (32%), neurological

disease (6%), delirium (2%), thyroid disease (0.8%) or unknown cause

(45%). The non-demented group was significantly younger (69.68 yr vs

78.75 yr; p = .000), scored lower on the IQ-code (3.70 vs 4.11 p = .000),

had higher scores on the GDS (6.2 vs 3.9; p = .006) but did not use

psychiatric medication or benzodiazepines more often nor drank more



Mood disorders and long standing psychiatric problems

often seem to be the cause of memory complaints in non-demented

patients. Screening for mood disorders with the GDS or evaluating

cognitive change with the IQ-code might be of help in the selection

process. Unnecessary referral may be reduced.


Clinical predictors of cognitive decline in the InCHIANTI Cohort:

fish for brain?

E. Mossello


, M. Colpo


, V.D. Panta


, G. Sini


, S. Bandinelli





Unit of Medicine of Ageing, Department of Experimental and Clinical

Medicine, University of Florence and Azienda Ospedaliero Universitaria



Laboratory of Clinical Epidemiology, InCHIANTI Study Group,

Azienda USL Centro, Florence, Italy


Different lifestyle and clinical factors have been associated

with dementia risk, yet data regarding health and lifestyle predictors

of cognitive decline among older subjects are not consistent. The

present analysis of the InCHIANTI cohort was aimed at assessing

whether simple clinical and lifestyle factors predict Cognitive Decline

Trajectories (CDTs) in non-demented older subjects.


We considered participants with Mini Mental State

Examination (MMSE) 24+ at baseline who completed 9-year follow-

up. CDTs were estimated by Latent Class Growth Curve Models of

MMSE score change.


463 participants (mean age 71, 246 F) were included. We

identified 4 clusters with different CDT: rapid decliners (RD), slow

decliners (SD), low functioning stable (LFS) and high functioning

stable (HFS). The four groups differed significantly for age (lowest in

HFS and LFS), education (highest in HFS), depressive symptoms

(Center for Epidemiological Studies Depression Scale >16, less

frequent in HFS), cholesterol (highest in RD) and fish consumption

(lowest in SD). No among-group difference was observed for gender,

BMI, smoking, alcohol consumption, physical activity, hypertension,

diabetes, coronary/cerebrovascular disease. Grouping together RD

with SD, and comparing them with remaining subjects in a logistic

regression model, independent predictors of a steeper cognitive

decline included age >75 (OR 8.36) and cholesterol (OR 1.01 per mg/

dL), while education (OR 0.84 per year) and fish consumption (0.97 per

g/day) were associated with a reduced risk.


High cholesterol and low fish consumption were

independent predictors of cognitive decline in this sample of older

community-dwelling non-demented subjects.


Association of metformin therapy with the risk of dementia in

older adults with type 2 diabetes mellitus

M.I. Naharci


, U. Cintosun


, A. Ozturk


, H. Oztin


, E. Bozoglu


, H. Doruk




Division of Geriatrics, Gulhane Military Medical Academy, Ankara,



The aim of this study was to determine whether

metformin therapy is associated with dementia risk in older adults

with type 2 diabetes mellitus (T2DM).


The study was conducted at an outpatient geriatric setting.

The analysis was carried out on 1221 older adults. Out of those, 193

older patients (mean age 75.6 ± 6.0 years; 69.4% female; mean BMI

30.9 ± 4.9) with history of T2DM or diagnosed with T2DM were

studied. Demographics, clinical factors, cognitive status, and neuro-

psychological tests [Mini mental state examination (MMSE) and The

Lawton Instrumental Activities of Daily Living (IADL)] were identified

from records. Subjects were divided into four groups according

to metformin use and dementia status: group I (metformin + no

dementia), group II (no metformin + no dementia), group III

(metformin + dementia), and group IV (no metformin + dementia).

Poster presentations / European Geriatric Medicine 7S1 (2016) S29