Abstract
Background: Dyslipidemia and frailty are both associated with an increased risk of cardiovascular disease and other
health problems. Dyslipidemia is a condition where there are abnormal levels of lipids in the blood, while frailty is a state of weakness,
decreased energy and reduced physical
activity.
Objectives: This study aims to investigate
the lipid profile pattern of Filipino frail elderly patients. It also aims to determine the prevalence of dyslipidemia among frail elderly patients as well as correlation to its co-morbidities and clinical outcome.
Methods: This
is a prospective cohort study among frail elderly Filipino
patients aged 60 years old and above admitted in a
tertiary medical center from October to December 2024. Demographics, lipid profile, comorbidities, clinical frailty score, length
of hospital stay and risk factors for mortality were evaluated.
Results: There are 188 frail elderly Filipino patients included in the study, 89 (47.3%%) were females and 99 (52.7%) were males. Mean age of the patients is 69.05 (+6.79) years. Among 260 elderly patients screened for frailty, 188 are frail. The prevalence rate
of
frailty among our Filipino elderly admitted is 72% and the prevalence of frail elderly Filipino patients with dyslipidemia is high
at 69.65% (131 out of 188). The most common
lipid profile abnormality is hypertriglyceridemia at 60%. Among co-morbidities,
coronary artery disease is associated with our frail dyslipidemic elderly patients than those without dyslipidemia. There were no
association noted in the number
of hospital days and mortality rate among those
with dyslipidemia from those without.
Conclusion: There is a high rate of frailty and dyslipidemia in our elderly Filipino admitted patients. Both conditions are more common in older people
and both condition causes a decline
in functionality and an increased vulnerability to illness.
According to the United Nations, anyone older than 60 is
considered an older person. Families and communities, howev- er, frequently
define age in terms of other socio-cultural refer- ents, such as physical
attributes, age-related health
conditions or family status (grandparents). The World Health Organization
projects that by 2050, there will be 400 million
people aged 80 or
above, doubling the number of people who are currently in this age group. This
is due to the global population’s aging trend1.
Dyslipidemia is one of the most well-known cardiovascular
risk
factors and thus related to deaths. However, the roles of plasma
lipids are more complex in the survival
of geriatric population2.
Dyslipidemia is defined as a clinical condition characterized by abnormal
concentrations of lipids or lipoproteins in the blood, one of the main factors
that determine the development of cardiovascular disease. High concentrations
of triglycerides (TG), total cholesterol (TC) and their LDL-cholesterol (LDL- c) fraction, related to the decrease in
HDL-cholesterol values (HDL-c) increase the likelihood of occurrence of these diseases. With age, the aging of organs and the emergence of concomitant
illnesses make elderly patients the preferred target for changes in lipid
fractions. Lipid profile components play a role in predicting the development of cardiovascular disease
and hence mortality, but
recent studies have shown mixed studies in the older population. The prevalence of dyslipidemia is particularly
concerning in the elderly population, who often present with additional
comorbidities and frailty3.
Assessments of the association between serum cholesterol
and mortality have been studied for decades and extensive research has shown a weak association between total cholesterol and mortality in the elderly; several
studies have even shown an inverse association4.
For frail elderly patients, frailty is not synonymous with either comorbidity or disability, but comorbidity is an
etiologic risk factor for and disability is an outcome
of, frailty. This provides a potential basis for clinical assessment
for those who are frail or at risk and for future
research to develop
interventions for frailty based on a standardized
ascertainment of frailty5.
This study aims
to investigate the lipid profile pattern of Filipino frail elderly patients. And in undertaking this study, this could provide new perspective and
understanding on the lipid profile of frail elderly patients with dyslipidemia.
The present study will focus on frail elderly patients with dyslipidemia
admitted in a tertiary medical
center. This study
aims to provide insight on how aging causes
changes in lipid profile as well as correlation of length of hospital stay and
mortality of patients with and without dyslipidemia.
2. Objectives
General Objective:
To determine the lipid profile pattern of frail Filipino elderly patient admitted in a tertiary medical center.
Specific Objectives:
• To determine the prevalence of frailty among admitted elderly Filipino patients.
• To determine the prevalence dyslipidemia among admitted frail elderly Filipino patients.
• To determine the association of dyslipidemic frail elderly with their co-morbidities.
• To determine the clinical outcomes of frail elderly with dyslipidemia (length of hospital stay and mortality).
3. Methodology
This
is a prospective cohort study among Filipino frail elderly patients admitted at
Quirino Memorial Medical Center, a tertiary hospital
in Quezon City in the month of October 2024 -
December 2024.
3.1. Inclusion criteria
Admitted
patients under Internal Medicine department with age 60 years old and above,
diagnosed with Frailty using the Clinical Frailty Scale Criteria6,
with lipid profile extraction in our institutions
and are newly diagnosed with dyslipidemia (TC >200mg/dL
& LDL >130mg/dL), triglyceride (>150 mg/dL), HDL (<40 mg/dL in
males, <50 mg/dL in female).
3.2. Exclusion criteria
Patients who refuse consent and refused to have their lipid profile collected, patients previously and currently taking lipid lowering agents. Patients who died in the ER and incomplete medical records.
3.3. Sampling method
The sample size for the cohort study was computed using the rate of admission in elderly population (60 years old and above) in the Internal Medicine department with an average population size of one hundred eighty-eight.
3.4. Conceptual framework
Approval was obtained from the Internal Medicine
department and Professional Education Training and Research Office. The researcher informed
the research adviser,
chairman, department head, consultants and co-residents about the
research procedures. Patients who meet the inclusion criteria were screened for
frailty using the Clinical Frailty Scale Criteria. Questionnaires and consent
forms were also given to representatives such as a family member who is currently
living with the patient
and is assisting the patient
in his/her activities of daily living. The primary investigator conducted the
interview test to the patient themselves or to the relatives or caregivers. The primary
investigator also did the assessment to the admitted elderly patients using the
Clinical Frailty Scale questionnaires which consists of 7 items, covering different
aspects. A score 5 and above indicating mild frailty among admitted
elderly patients.
3.6. Data analysis
Data was encoded and tallied in SPSS version 13 for
windows. Descriptive statistics were generated for all variables. For nominal data, frequencies and percentages were computed. For numerical data, mean ± SD were generated. Analysis of the different variables was
done using the following test statistics: ANOVA, Phi/Cramer’s/V, T-test and
Chi-square test.
3.7. Ethical considerations
Data collection process was conducted
without any form of coercion, manipulation or
inducement. Strict measures were taken to maintain patient confidentiality and
no personally identifiable information, such as names, contact numbers or
complete addresses, was included in the collected data. The handling of data
fully complied with the provisions of the Data Privacy Act of 2012 and its implementing rules and regulations from
2016, unless otherwise required by law. To protect the privacy of participants,
each individual included in the study was assigned to a unique code. There are no conflicts of interest
regarding financial, familial
or proprietary considerations for the primary
investigator or the study site. All
study outcomes were promptly reported to the hospital administration.
4. Results
This research is based on the data collected from a total
of one hundred eighty-eight (188) respondents aged 60 years and above who were
admitted at Quirino Memorial Medical Center in 3-month duration (October 2024-
December 2024).
Table
1: Prevalence of Filipino
elderly patients admitted with frailty.
|
Total number
of Elderly Patients admitted |
260 |
|
Total number
of Elderly Patient
with CFS >5 |
188 |
|
Prevalence |
72% |
Table 1 shows a total number of 260 elderly patients admitted. Out of
260 elderly patients, 188 elderly patients were classified as frail with a
Clinical Frailty Score of >5. Hence showing a prevalence rate 72% (Table 1).
Table 2 shows that among 188 frail Filipino elderly patients, 131 were
dyslipidemic and 57 have normal lipid profile. The
Table
2: Prevalence of Dyslipidemia
among Frail elderly patients admitted.
|
Total number
of Elderly Patient
with CFS >5 |
188 |
|
Total number
of patients with
dyslipidemia |
131 |
|
Total number
of patients without dyslipidemia |
57 |
|
Prevalence of dyslipidemia with CFS >5 |
69.65% |
Table 3: Prevalence of Frail elderly dyslipidemia in specific age group.
|
Age |
With Dyslipidemia N=131 |
Without Dyslipidemia N= 57 |
Total |
Prevalence |
|
60-69 |
77 |
25 |
102 |
75.5% |
|
70-79 |
43 |
27 |
70 |
61% |
|
>80 |
11 |
5 |
16 |
69% |
|
Total |
131 |
57 |
188 |
69.65% |
Table 3 shows the distribution of dyslipidemia among specific age groups of admitted frail
elderly Filipino patients.
There were 77 (75.5%) out of 102 in the age range of 60-69 years old, 43
(61%) out of 70 in the age range if 70-79 years
and 11 (69%) out of 16 in
the age range of >80 years of age (Table
3).
Table 4: Lipid Profile Pattern
of Filipino Frail
Elderly with dyslipidemia.
|
|
Abnormal
(n) |
Normal
(n) |
Total |
Prevalence |
|
TC |
66 |
65 |
131 |
50% |
|
TG |
78 |
53 |
131 |
60% |
|
HDL |
27 |
104 |
131 |
21% |
|
LDL |
54 |
77 |
131 |
41% |
|
Combination |
80 |
51 |
131 |
61% |
Table 4 shows
the different lipid
profile patterns of admitted
frail Filipino elderly. Among 131 dyslipidemic patients, 50% have hypercholesterolemia, 60% has hypertriglyceridemia, 21% have decrease HDL levels and 41% have
elevated LDL levels. 61% of them have multiple combinations of abnormal lipid
profile patterns (Table 4).
Table 5: Demographic
profile of frail elderly Filipino
patients with & without dyslipidemia.
|
|
|
DYSLIPIDEMIA Incidence |
|
|
|
|
|
||||
|
Variables |
Categories |
With Dyslipidemia |
No Dyslipidemia |
Total |
Chi- Square |
Phi/Cramers V |
p-value |
Interpretation |
|||
|
|
|
Freq |
% |
Freq |
% |
Freq |
% |
|
|
|
|
|
|
F |
62 |
69.7 |
27 |
30.3 |
89 |
47.3 |
|
|
|
|
|
Sex |
M |
69 |
69.7 |
30 |
30.3 |
99 |
52.7 |
0 |
0 |
0.996 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
79 |
67.5 |
38 |
32.5 |
117 |
62.2 |
|
|
|
|
|
HYPERTENSION |
With |
52 |
73.2 |
19 |
26.8 |
71 |
37.8 |
.684a |
-0.06 |
0.408 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
118 |
68.6 |
54 |
31.4 |
172 |
91.5 |
|
|
|
|
|
CVD |
With |
13 |
81.3 |
3 |
18.8 |
16 |
8.5 |
1.204 |
-0.077 |
0.273 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
128 |
70.3 |
54 |
29.7 |
182 |
96.8 |
|
|
|
|
|
PAOD |
With |
3 |
50 |
3 |
50 |
6 |
3.2 |
1.046 |
0.078 |
0.306 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
100 |
65.8 |
52 |
34.2 |
152 |
80.9 |
|
|
|
|
|
CAD |
With |
31 |
86.1 |
5 |
13.9 |
36 |
19.1 |
5.69 |
-0.174 |
0.017 |
Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
100 |
68.5 |
46 |
31.5 |
146 |
77.7 |
|
|
|
|
|
CKD |
With |
31 |
73.8 |
11 |
26.2 |
42 |
22.3 |
.436a |
-0.048 |
0.509 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
69 |
67 |
34 |
33 |
103 |
54.8 |
|
|
|
|
|
DM |
With |
62 |
72.9 |
23 |
27.1 |
85 |
45.2 |
.781a |
-0.064 |
0.377 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
119 |
70 |
51 |
30 |
170 |
90.4 |
|
|
|
|
|
DEMENTIA |
With |
12 |
66.7 |
6 |
33.3 |
18 |
9.6 |
.086a |
0.021 |
0.77 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
54 |
67.5 |
26 |
32.5 |
80 |
42.6 |
|
|
|
|
|
RESPIRATORY |
With |
77 |
71.3 |
31 |
28.7 |
108 |
57.4 |
.381a |
-0.045 |
0.537 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
115 |
70.1 |
49 |
29.9 |
164 |
87.2 |
|
|
|
|
|
LIVER DISEASE |
With |
16 |
66.7 |
8 |
33.3 |
24 |
12.8 |
.118a |
0.025 |
0.731 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
114 |
72.2 |
44 |
27.8 |
158 |
84 |
|
|
|
|
|
MALIGNANCY |
With |
17 |
56.7 |
13 |
43.3 |
30 |
16 |
2.862a |
0.123 |
0.091 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
Without |
91 |
71.7 |
36 |
28.3 |
127 |
67.6 |
|
|
|
|
|
HEMATOLOGIC DISEASE |
With |
40 |
65.6 |
21 |
34.4 |
61 |
32.4 |
.721a |
0.062 |
0.396 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
|
No |
91 |
67.4 |
44 |
32.6 |
135 |
71.8 |
|
|
|
|
|
Smoker |
Yes |
40 |
75.5 |
13 |
24.5 |
53 |
28.2 |
1.172a |
-0.079 |
0.279 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
Alcoholic Beverage Drinker |
No |
106 |
70.2 |
45 |
29.8 |
151 |
80.3 |
|
|
|
|
|
Yes |
25 |
67.6 |
12 |
32.4 |
37 |
19.7 |
.097a |
0.023 |
0.755 |
Not Significant |
|
|
Total |
131 |
69.7 |
57 |
30.3 |
188 |
100 |
|
|
|
|
|
Table 5 presents the demographic data of the respondents. Out of 188 frail elderly Filipino patients 89 (47.3%%) were females and 99 (52.7%) were males. There was significant association noted on frail elderly dyslipidemia Filipino patients with coronary artery disease with p-value of <0.05. Other demographic variables such as hypertension, cerebrovascular Disease/CVD, peripheral arterial occlusive disease, chronic kidney disease/CKD, diabetes mellitus, dementia, respiratory disease: COPD bronchial asthma, liver disease, malignancy,
hematologic disease, smoking history and alcoholic
beverage drinkers showed no association with p-value of >0.05 (Table 5).
Table 6 presents
the mean age of the patients is 69.05 (+6.79)
years with dyslipidemia and 70.10 (+6.360)
years without dyslipidemia. The mean hospital length of stay is 20.008 days (+7.998) days with dyslipidemia and 20.789
days (+7.798) days without dyslipidemia. There is no significant difference in the length of hospital stay between dyslipidemia
and without dyslipidemia with a p value of >0.05 (Table 6).
Table 6: Clinical outcome of frail elderly
dyslipidemic patients in number of hospital days.
|
|
With Dyslipidemia |
No
Dyslipidemia |
Overall |
t-test |
effect size |
p-value |
Interpretation |
|||
|
Mean |
SD |
Mean |
SD |
Mean |
SD |
|||||
|
Age |
69.053 |
6.792 |
70.105 |
6.360 |
69.372 |
6.665 |
-0.995 |
−0.16 |
0.321 |
Not
Significant |
|
Hospital
days |
20.008 |
7.998 |
20.789 |
7.798 |
20.245 |
7.925 |
-0.621 |
−0.10 |
0.536 |
Not
Significant |
Table 7: Clinical outcome of frail elderly
dyslipidemic patients in mortality rate.
|
Variables |
Categories |
DYSLIPIDEMIA |
Total |
Chi- Square |
Phi/ Cramer’s V |
p-value |
Interpretation |
||||
|
With |
Without |
||||||||||
|
Freq |
% |
Freq |
% |
Freq |
% |
||||||
|
Outcome |
DISCHARGED |
129 |
70.10 |
56 |
29.78 |
185 |
98.4 |
.736 |
.049 |
.692 |
Not
Significant |
|
EXPIRED |
2 |
66.7 |
1 |
33.3 |
3 |
1.6 |
|||||
Table 7 shows that there was no difference in mortality rate among dyslipidemic frail elderly Filipino
patients from those
without dyslipidemia with p-value of >0.05 (Table 7).
5. Discussion
Frailty
is a medical condition that causes a decline in functionality and an increased
vulnerability to illness. Frailty may increase the
risk of dyslipidemia, a condition that involves abnormal levels of lipids in
the blood. Both conditions are more
common in older people. The prevalence of frailty is different base on the
setting of the research, it is usually lower in the community and higher in the
hospital. Studies showed that the prevalence rate of frailty
in the community ranges from 6.9-24%5,7,
while in hospital setting, it showed a prevalence rate of 41-71%8. In a
local study made by Laude T-MP et al, A total of 109 elderly was included in the
study, only 8.3% were frail, 81.6% were prefrail and 10.1% are robust using
Fried’s frailty criteria. It was also noted that 60.6% of participants
has dyslipidemia9. Based on our
research, 72% of our elderly admitted patients were frail.
In our study, the prevalence rate of dyslipidemia who are frail elderly is 69.65%. The prevalence
rate of dyslipidemia in the Philippines, base on cut off values: borderline (200–239 mg/dL) to
high TC (≥240 mg/dL), borderline
(130–159 mg/dL) to high LDL-C (≥160 mg/dL), low HDL-C (<40 mg/dL) and elevated TG (≥150 mg/dL) in adults aged ≥20 years were 46.9%, 47.2%,
71.3% and 38.6%, respectively. 72% of adults in this survey had at least one abnormal lipid
component10. In a study
done by Rosada et al, the prevalence
of hyperlipidemia was more frequent
in the elderly group (76%)
compared to the young group
(41%). Hypercholesterolemia was the most common (64%), followed by hyperlipoproteinemia (18%),
hypertriglyceridemia (7%) and combined hyperlipoproteinaemia (5%)11. According to Xi, Y. et
al, the age-standardized prevalence of dyslipidemia was 31.2%.
The prevalence of dyslipidemia generally increased with age but was decreased in the age group 65-75
years. The same trend
was observed for elevated LDL-C and TG. The prevalence of dyslipidemia was
significantly higher in men than in women12.
Lipid
metabolism is altered during old age. As a result of aging, all gastrointestinal processes (such as movement, enzyme, hormone release)
are altered, which in turn affects digestion
and absorption, thereby leading
to reduced nutrient
uptake. Changes in lipid
synthesis and catabolism that occur with aging lead to abnormal lipid
utilization in tissues. The dysregulation of the lipid metabolism in older
adults is often reflected by changes in
blood lipid levels, which are associated with the onset of various chronic
diseases. Specifically, the levels of triglycerides,
total cholesterol and low-density lipoprotein cholesterol tend to increase, while
high-density lipoprotein cholesterol (HDL- C)
concentrations become relatively irregular during aging. Regarding lipoprotein
levels, low-density lipoproteins have been reported to increase with age. The
primary age-related change in pancreatic function is the decline of the
pancreatic lipase activity. Bile acid levels showed a consistent decrease with
age. The absorption of dietary fat initiates an increase in the plasma
triglyceride concentration and the resultant increase in chylomicron and very
low-density lipoproteins (VLDL) in the blood in the postprandial state. The
dysregulation of the lipid metabolism in older adults is often reflected by changes in blood
lipid levels, which are associated with the onset of various chronic diseases13.
In
an article written by Paolo P. et al, the mechanisms behind this age-related
increase in plasma cholesterol are still incompletely characterized. Of particular interest is the finding of a gradual decline
in the fractional clearance of LDL from the
circulation with age and evidence of the reduced expression of hepatic LDL
receptors (LDLRs) with increasing age in some species. The capacity for body cholesterol removal through the
conversion of cholesterol to bile acids is also progressively reduced
with age and a decrease in the activity of the rate-limiting
enzyme in bile acid biosynthesis, cholesterol 7α-hydroxylase, has been
demonstrated in the aging rat. In
addition, there is some evidence that the synthesis of apolipoprotein B-100 in
VLDL may be increased with age. A number
of explanations to these findings have been discussed, including both dietary
and hormonal factors. An interesting hypothesis states that the critical
changes in cholesterol and lipoprotein metabolism depend on the
progressive decrease in growth hormone secretion, which occurs with normal
aging14.
Lipid
profile from the National Health and Nutrition Examination Survey (NHANES)
2003-2004 showed the comparison of lipid profile pattern from 30–79-year-olds
old, there is a slight decrease in LDL, non-HDL-C and triglycerides with similar
HDL levels in individuals 70-79 years of age. Other cross-sectional studies
have reported similar
results. Prospective studies
with longitudinal follow-up have also observed small decreases in total cholesterol, LDL and HDL levels in men
and women as they become elderly. It should be noted that the changes in lipid
levels reported with aging are relatively small and vary somewhat from study to
study. Other studies also showed that older individuals have an increase
postprandial lipemia compared with younger individuals. However, the clinical
significance of these small changes is uncertain. It is well recognized
that as one becomes older, the likelihood of other medical disorders
increases, older patients
usually have multiple co-morbidities and this can
affect lipid levels. For example, inflammation, infections, poor nutrition or
socio-economic factors can decrease LDL and HDL levels. Finally, frailty is a
syndrome associated with aging and increases with age15.
Lipid metabolism plays a role in frailty. Pathogenesis includes decreased muscle
mass, reduced physical
function and increased vulnerability to health issues;
this is due to changes in lipid levels,
particularly phospholipids, which can affect muscle function and
contribute to the overall decline seen in frail
individuals. In a study
of Ramirez-Velez, et al, a lipidomic approach
found that five circulating metabolites including ceramides, cholesterol and
phosphatidylcholines were significantly increased in physically frail compared
with robust older adults at hospital admission. Moreover, cholesterol and
ceramides had acceptable levels of accuracy to discriminate physically frail at
hospital admission and, therefore, might be useful biomarkers in clinical
practice. The non-targeted metabolic study can open a wide view of the
physically frail features changes at the plasma level, which would be linked to
the physical frailty phenotype at hospital admission16.
In
a study made by Lee WJ, et al, wherein they correlated frailty and the
components of metabolic syndrome, 12.9% were
frail. The prevalence of frailty and metabolic syndrome increased along with
aging. Those with metabolic syndrome were strongly associated with frailty status and presenting a dose- dependent effect
than their counterparts. The study demonstrated associations between frailty
and metabolic syndrome and its individual components (elevated triglyceride
levels) but not in low HDL-C, especially in females and older adults17. A cross- sectional investigation of the relationship between dyslipidemia and
frailty showed that increased TG was associated with the development of frailty. Gale et al. found an association between high TC levels and new-onset
frailty18. However, in a systemic
review of association between cardiometabolic risk factors and frailty in older adults
showed that there was inconsistency across the studies regarding
the associations between
dyslipidemia and frailty.
Further studies should be done19.
In
our study, the prevalence rate of different lipid profile components in our
frail elderly were hypertriglyceridemia (60%),
hypercholesterolemia (50%) and High LDL-C (41%) and low HDL-C (27%). Our results are much
higher compared to a study done at Iran by Delbari et. al, wherein high levels
of total cholesterol, triglyceride, low-density lipoprotein and low level of
high-density lipoprotein were seen among 9.74%, 24.66%, 5.54%, 19.20% of their
elderly participants, respectively20. Reasons of this is maybe due to ethnic backgrounds, different study settings
and subjects.
Lipid
profile levels in elderly may affect their functionality. The prevalence of
activities of daily living disability showed downward trend with an increase of the LDL-C
and triglyceride and an
increase in HDL-C levels had a protective effect against activities of daily
living disability21.
Studies showed
that incidence of frailty (CFS score ≥5, mild-
severely frail) was higher in those with cardiovascular disease compared
to those without cardiovascular disease (76% vs 66%). A history
of cardiovascular disease
was significantly associated with higher rate of first
readmission or death within 12 months, compared to no history of cardiovascular disease22. In a Taiwanese retrospective cohort
study, older females
with the lowest
quartile of TC and LDL cholesterol had higher cardiovascular mortality. Older females with the lowest quartile of HDL had
higher mortality from cardiovascular and cerebrovascular diseases
and concluded that TC, mostly attributed to LDL cholesterol, was
inversely related to all-cause mortality. HDL remained to be protective against
both cardiovascular and stroke mortality in older females23. In our study, there was significant
association noted on frail elderly dyslipidemic Filipino patients with coronary
artery disease than those without dyslipidemia, hence treatment of dyslipidemia
is still warranted among them.
In
a study done by Onder G et al, among older hospitalized adults, low serum cholesterol levels appear to be an independent
predictor of short-term mortality24.
According to Wang, R et al. The mean
total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and
low-density lipoprotein cholesterol (LDL-C) levels in elderly were higher among
those who died than among those who survived. Participants in the second HDL-C
quartile and the highest LDL-C and triglyceride (TG) quartiles had 28% higher,
23% lower and 49% lower risks
of all-cause mortality, respectively25.
Our study showed no significant association noted in the number of hospital days and
mortality rate among
our frail elderly
dyslipidemic patient from those without dyslipidemia.
6. Conclusion
The
study revealed the prevalence of frail elderly Filipino patients with dyslipidemia is high at 69.65% and the prevalence of frail dyslipidemic in
specific age group is almost the same ranging from 61 to 75%. The most common
lipid profile abnormality is hypertriglyceridemia at 60% among
our frail elderly patients.
Among co-morbidities, coronary
artery disease is associated
with our frail dyslipidemic elderly patients than those without dyslipidemia.
This study may serve as a baseline study in the Philippines and aims to provide information on frail elderly
with dyslipidemia.
7. Contributors
All authors designed the study, acquired the data, analysed the data, drafted the manuscript and critically revised the manuscript for important intellectual content. All authors had full access to the data, contributed to the study, approved the final version for publication and take responsibility for its accuracy and integrity.
8. Funding/Support
No specific grant or funding received.
9. Data Availability
All data generated or analyzed during the present study are available from the corresponding author on reasonable request.
10. Ethics Approval
Approval was obtained from the Internal Medicine department, Professional Education Training and Research Office and Review and Ethics Board of Quirino Memorial Medical Center.
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