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malnutrition, which can contribute to functional decline. Our aimwas

to evaluate the functional status of patients

75 years that survived 12

months (12 M) after discharge and to analyse association with OH and



Prospective longitudinal cohort study of 100 patients.

Comprehensive geriatric assessment, dental examination and OH

questionnaire performed at baseline. Survival and functional status at

12 M assessed by phone contact and hospital record analysis.


46 patients survived 12 M follow-up. Average Barthel score

(BS) 12 M 59.2 (baseline 75.3). According BS variation two groups

were defined: A- maintenance/improvement of BS (47.8%); B- decline

of BS. A and B were non-homogeneous concerning average age (86.9 vs

81.8) and baseline BS (70.5 vs 80). Patients in group A presented:

higher average number of teeth (7.50 vs 6.21, ns) but higher

prevalence of caries and periodontal disease (27.3% vs 16.7%, ns);

similar usage of oral prosthesis and autonomy in oral hygiene; higher

usage of toothbrush and toothpaste (63.6% vs 45.8%, ns), lower usage

of mouthwash (22.7% vs 25%, ns).


Better OH status and hygiene habits were not statistically

associated with maintenance/improvement of functional status.

Nevertheless, patients with favourable outcome showed a higher

average number of teeth and higher usage of toothbrush and tooth-

paste. The impact of OH in outcome might be underestimated due to

small sample size.


Influence of age and multimorbidity on time to readmission

O.B. Fernandes


, S. Lopes


, R. Santana




Escola Nacional de Saúde

Pública, Universidade NOVA de Lisboa,


Centro de Investigação em Saúde

Pública, Escola Nacional de Saúde Pública, Universidade NOVA de Lisboa,

Lisboa, Portugal


Ageing populations and the increasing prevalence of

multiple chronic conditions are a challenge for healthcare delivery and

health system design. Readmissions are frequently studied for its

negative impact on patients and providers. This study aims to explore

the association of time to readmission with age and multimorbidity.


A database including administrative data from 1.679.634

inpatient episodes from years 2002

14 was considered. Chronic

conditions were identified from all diagnoses coded with

International Classification of Diseases

9th version


Modifications codes (1: present). The considered outcome was

thirty-day hospital-wide all-cause unplanned readmissions (1:

readmitted). Episodes were divided into five age groups: 0

19; 20

44; 45

64; 65

84; 85+ years. Gender, number of Elixhauser

comorbidities, and treatment in a vertically integrated unit were also

included. We used a Cox regression to determine the association of

time to readmission with selected covariates.


The observed readmission rate was 5.1% and median time to

readmission was 10 days. The risk of readmission increased through-

out age groups, with increasing likelihood of readmission for

individuals aged 65+ [65

84: 1.237 (1.208

1.266); 85+: 1.739 (1.691

1.788)]. Individuals with two chronic conditions presented the highest

risk of readmission (1.368; 1.325

1.413), whilst patients with 5+

presented a likelihood of readmission of 1.276 (1.212

1.343). Male

patients, with more comorbidities, and treated outside vertically

integrated units showed an increased risk of readmission.

Key conclusions:

Older patients with multimorbidity had an

increased risk for readmission. An awareness of the factors influencing

time to readmission allows the design of interventions aimed at

increased risk groups.


Differences between older patients admitted with cancer or

diagnosed with cancer during hospital admission: a palliative care


L. García-Cabrera, J. Mateos-Nozal, M.V. Cerdeira, E. Sánchez-García,

A.J. Cruz-Jentoft, L. Rexach-Cano.


Very old patients assessed by hospital palliative care

consultation teams are either admitted with a known cancer or

diagnosed during hospital admission. Our aim was to compare

characteristics and prognosis of each group, in order to better tailor

palliative care.


We included all patients over 79 years old with cancer

(known diagnosis of found during hospitalization) who were assessed

by a palliative care consultation team during one year. Demographic,

clinical and mortality data were collected.


167 subjects (37.7% diagnosed during hospitalization). Those

diagnosed with cancer during admission were older (87.1 ± 6.0 vs

85.1 ± 3.6 years, p = 0.017), had fewer comorbidities (CIRS-G 2.1 ± 0.4 vs

2.4 ± 0.4, p < 0.001) and lived alone more frequently (23.8% vs 11%,

p = 0.06) than those admitted with cancer. No differences in gender,

polypharmacy, dementia or functional decline before admission

were found. Subjects with new cancer had significantly more focal

neurologic signs (12.7% vs 7.8%), falls (12.7% vs 6.8%) and constitutional

syndrome (14.3% vs 7.8%), although they had less bleeding episodes

(4.8% vs 11.7%, p = 0.003) than the other group. Those with a new

diagnosis were more frequently admitted to the Internal Medicine

and Geriatrics department (60.3% vs 26.9%), than to the Oncology

department (4.8% vs 35.6%, p = 0.001). They had more lung cancer,

liver and biliopancreatic tumours (23.8 vs 7.7%, p = 0.002) and less low

grade disease (11.1% vs 21.2%). Staging was not completed in more

subjects with new cancer (30.2% vs 5.8%, p = 0.001) and treatment was

not as active (surgery (3.2% vs 34.6% p < 0.001), chemotherapy (1.6% vs

28.8%, p < 0.001), radiotherapy (0% vs 13.5%), palliative care (3.2% vs

11.5%, p = 0.001). Length of stay was longer (17.6 ± 8.9 vs 12.4 ± 10.0

days, p = 0.001). There were no differences in after hospital care, total

mortality or use of palliative sedation, but survival was significantly

shorter for those with a new diagnosis (median 2.3 ± 0.4 vs 40.7 ± 5.1

months, p < 0.001).


Older patients with a new diagnosis of cancer during

admission in need of Palliative Care are different to those admitted

with a known cancer and may have different care needs.


Study of predictive factors (clinical and personal) of hospital

mortality in a Geriatric Service in Zaragoza (Spain)

I.F. Lacarte


, B.G. Huarte


, F.A. Monzón


, M.G. Eizaguirre


, C.D. Pérez




Geriatric Service, Hospital Nuestra Señora de Gracia,


Health Deparment,

Goverment of Aragon


The aim of the study is to find out which personal and

clinical factors may be associated with mortality in geriatric

hospitalized patients, face to obtain a predictive model that allows

us to identify people at increased risk.


There were 318 incomes, between 06.10.2014 and

30.11.2014. Variables studied: age, sex, clinical aspects (personal

background, Barthel index (BI), Charlson index (CI), drugs, SPMSQ

and biochemical parameters. Logistic Regression (LR) was perfor-

med to assess the relationship between death and studied variables.

In previous bivariate analysis, Chi square and ANOVA was used

depending on the type of variable analyzed. Was used SPSS v19.


A LR was performed between the dependent variable


and some explanatory variables

age, dementia, renal function, IB, IC,

omeprazole, high prolactin, hemoglobin, albumin, creatinine, urea,

calcium, GOT, lactate deshydrogenase (LDH

(bivariate p < 0.05).

Significant associations were detected: IB (<60) OR 6.101 (2.013

18.48), Omeprazole OR 0.468 (0.227

0.961) (protector), OR 1.364

Creatinine (1.054

1.766), Albumin OR 0.463 (0.256

0.836) (protector)

and LDH OR 1.004 (1.002

1.006). The Model was: Prob(exitus) = 1/

(1 + e (2.587

1.808Barthel + 0,76Omeprazole

0,311 Creatinine +

0.771 Albumin

0.004LDH)) The multivariate model correctly classi-

fied 86.7% of patients, showing a high specificity (98.5%) but low

sensitivity (19.6%). The discriminatory power of the model, according

to ROC curve, was 87.6% of the maximum possible.

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