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A B S T R A C T S
end-point outcome, but also as a predictive factor of survival
and guiding the best care to be offered.
Objectives:
assess multidimensional baseline HRQOL and
its relationship to early mortality in elderly patients with
cancer.
As exposure was considered the quality of life at time of
diagnosis through of questionnaire EORTC QLQ C30
Methods:
a total 346 elderly incident cancer patient (
60
years) were observed between February and December 2015
in prospective cohort .At the time of enrollment, quality
of life was assessed and collected compressive geriatric
assessment(CGA),socio-demographic and clinical variables.
It was followed for a period of six months. As exposure was
considered the quality of life at time of diagnosis through of
questionnaire EORTC QLQ C30. It was considered outcome,
early death occurred in the first six months after admission
to the institution.Descriptive analysis the mean and standard
deviation was performed for continuous variables, and
absolute and relative frequencies for categorical variables.
The Kaplan-Meier method was used to estimate the overall
survival time and the respective confidence interval of 95%.
Student’s t test was use and its statistical significance was
obtained by analysis of variance. It was then performs the
univariate logistic regression (gross) and multiple (adjusted
for clinical staging and age).
Results:
346 elderly cancer patients, who had at the time
of assessment of quality of life, mean age of 71.13 years
(SD 7.41). The majority were males (50.9%), Prostate cancer
were more frequent (29.4%). They were mostly patients with
advanced stage (III and IV) at nutritional risk (52.6%).Patients
were followed on average for 128 days (SD 54.37). During this
period, there were 39 deaths (11.3%), with a mean of 165 days
overall survival (95% CI 161.25 to 170.02). The mean of the
quality of life domains measured by the EORTC-C30 according
to the occurrence of early death, they were a significant
diferencebeteween mean (P<0.001) all domains,except the
scales of symptoms, diarrhea and financial hardship. After
adjusting for stage and age over all quality of life was observed
reduction in risk of early death than 3%.
Conclusion:
For all function ranges and overall quality of
life was observed worse scores of quality of life among those
who had aearly deathoutcome. The scales of symptoms,
diarrhea and financial hardship were the ones that showed
no statistically significant association with death.Inicial QOL
can also be a good early predictor of mortality risk in cancer
elderly patients.
Disclosure of interest:
None declared
Keywords:
Aging, mortality, QLQ C30, quality of life
P109
THE USE A COMPREHENSIVE GERIATRIC ASSESSMENT TO
SEARCH FOR FACTORS ASSOCIATED WITH HIGHER RISK OF
SHORT-TERM OUTCOMES
J. T. D. O. L. Sales
1,
*, M. J. G. Mello
1
, R. Travassos
1
, D. Sales
1
,
Z. Cavalcanti
1
, M. Rebello
1
, R. Cavalcanti
1
, A. Bergman
2
,
L. C. S. Thuler
1
1
Oncology, IMIP, Recife,
2
Oncology, INCA, Rio de Janeiro, Brazil
Introduction:
In the coming years, by 2030, over 70% of
cancer incident cases occur in elderly patients who have
others problems: cultural, social, health - such as more
comorbidities, high risk of malnutrition and cognitive
problems. Recognize predictors for the occurrence of short-
term outcomes are essential for decision-making and better
planning of comprehensive treatment to be offered.
Objectives:
The purpose of our study was to use compre-
hensive geriatric assessment to search for factors associated
with higher risk of short-term outcomes.
Methods:
Prospective observational cohort study was
performed in consecutive elderly patients (aged 60 years
or older) with confirmed diagnosis of malignancy requiring
healthcare specialized in oncology centre. It were collected
at baseline social – demographics data, quality of life index
EORTC QL30 and collected blood tests. It was performed a
comprehensive geriatric assessment (CGA) including theMini-
Mental State Exam, Timed Get Up and Go (GUG), International
PhysicalActivityQuestionnaire (IPAQ),Activities of Daily Living
(ADL), Mini Nutritional Assessment (MNA), Mini Nutritional–
Short Form Assessment (MNA-SF), Geriatric Depression Scale
(GDS15), Charlson comorbidities index (CCI), Timed Up and
go Test (TUG), International Physical Activity Questionnaire
(IPAQ) and polypharmacy. Short outcomes studied were
first health-care associated infection, hospitalization and
death with the first six months of treatment. Univariate and
multivariate analyses were performed using Cox proportional
hazards methods to identify significant predictor factors to
short-term outcomes.
Results:
A total of
358 patients were enrolled
,
median
age was 71.3 years (range, 60 to 91), 193 (53.9%) were at risk
of malnutrition according SF–MNA, 101(28.2%) had one or
more comorbidities, 80 (22.3%) used five or more drugs daily.
Patients were followed for an average of 128 days (SD±54.37).
During this period, 90 (25.1%) patients had a first healthcare-
associated infection, 120 (33.5%) were hospitalized and 47
(11.3%) were early deaths. In our model, high malnutrional
risk (SF-MNA) was a independent predictor of occurrence to
short-term outcomes: first healthcare infection (HR=1.85, 95%
CI 1.148-2.974 p<0.001), hospitalization (HR=1.82, 95% CI 1.818-
2.795 p< 0.001) and death (HR=3.80, 95% CI 1.63-8.89 p = 0.002)
Conclusion:
In older cancer patients a low MNA-SF score
in admission predicted short-term outcomes. The MNA-SF
is a simple tool, relatively easy for a health professional to
administer, and could have a best place in routine for the
assessment of elderly cancer patients and can help to see
what oncologists do not see.
References:
[1] Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA
Cancer J Clin.2016;66:7-30.