INTRODUCTION
Cardiovascular disease (CVD) is the number one cause of death globally each year, which is a group of disorders of the blood vessels and heart, includes coronary artery disease (CAD) and cerebrovascular disease. In 2019, World Health Organization (WHO) estimated 17.9 million people in the world died caused CVD which is 32% of all deaths in the world. 7.3 million CVD death due to CAD, where 1/3 of these deaths occur in people under 70 years of age.1 According to the Basic Health Research (Riskesdas) in 2018, the incidence of heart and blood vessel disease is elevated. Individuals in Indonesia suffer from CAD at least 15 out of 1000 people, or around 2,784,064.2 Atherosclerosis is a pathological process that underlies most cases of CAD, cerebrovascular disease and aortic and peripheral vascular disease. By Multiple Risk Factor Intervention Trial, risk factors for atherosclerosis include age, men, genomic abnormalities, family history, hypertension, smoking, diabetes, obesity, physical inactivity, high cholesterol levels, stress, and drinking alcohol.3,4
Since the representatives change in the blood vessels has been known to be a form of calcification due to atherosclerosis, many studies have been widely conducted to evaluate the association of calcification with clinical diseases. Mazziotti G et al, arterial calcification is a marker of CAD, and AAC has been shown to be strongly associated with atherosclerosis and cardiovascular disease events.5 Iribareen et al, measured the level of aortic calcification though chest X-ray and reported that the level of calcification was associated with CAD and ischemic heart disease. Oei et al, measures coronary artery calcification (CAC) using a CT scan and correlates it with body mass index (BMI), age, gender, smoking, diabetes, and cholesterol level. Wilson et al, related the prevalence and mortality of CAC and cerebrovascular disease by measuring the AAC using lumbar X-rays. Sun and Jang measured abdominal aortic and iliac artery calcification using CT scan and reported the association with hypertension, diabetes, renal dysfunction, CAD and cerebrovascular disease.4 According to Jurgens and Goncalves, AAC is correlated with CAC and asymptomatic coronary artery disease. AAC on CT scan is a strong predictor of future cardiovascular events in adults without cardiovascular symptoms.6
This research aims to analyze the assotiation risk factors for CAD with AAC score on abdominal CT scans in the General Hospital. H. Adam Malik Medan.
METHODS
1. Study Site and Subjects
This research is an observational analytic study with cross sectional design in patients who perform
CT Scan abdomen with/without intravenous contrast at H. Adam Malik
Medan General Hospital
period September to November 2022 with a total of 105 patients. Excluded
patients were patients with a history of surgery that resulted in
changes to the abdominal aorta, conditions that made the abdominal aorta
difficult to assess, such as abdominal masses and ascites, and with
malignancy.
2. Data Collection
The basic data on subjects age, gender, history of hypertension, diabetes mellitus, smoking and alcohol consumption were obtained through medical records and anamnesis (a questionnaire). Hypertension and diabetes were defined as history of taking medication or identified as the diseases in the medical record or known through anamnesis. Smoking and alcohol consumption were identified by anamnesis (a questionnaire).
3. Abdominal aortic calcification measurement
Calcification was assessed by 2 readers (a Radiologist and a
Radiology Resident, Kappa score
>80%) at the abdominal aorta site using multidetector CT scans
(Philips Ingenuity 128 and GE
Brightspeed) 1 cm over the celiac trunk (proximal) to 1 cm under the
iliac bifurcation (distal) quantitatively on axial sections using the
Agatston method, where lesions with HU 130 in the area will be
automatically calculated. The calcification score was categorized into 0
for no calcification, 1 for 1-99, 2 for 100-399 and 3 for
>400.7 (Fig 1)
Fig 1. Abdominal Aortic Calcification Scoring by thr Agatston Method axial unenhanced abdominal CT image.
Sagital view, to assessed celiac trunk (white arrow), B) Coronal view, to assessed iliac bifurcation (yellow arrow), C) The calcification with attenuation greater than 130 HU level area colour-code pink. A region of interest in abdominal aortic is manually drawn so that only calcification are selected. D).Calcification within the region of interest are selected, and calcium score is automatically calculated according to the Agatston method.
4. Statistical Analysis
Data will be analyzed descriptively to determine the frequency
distribution of each variable demographic characteristics and risk
factors. Then continued with inferential analysis to analyze
the association between the four independent variables with the
incidence of calcification using
the Chi Square test. The results of the study were declared meaningful
with p value <0.05.
RESULTS
1. General Characteristics of the Subjects
The characteristics of all the study subjects (n=105) are provided in Table 1. Male composed 56 people (53.3%) of the study sample. More than 25% of the sample was in range 46-55 years old, 20% had hypertension, 17.1% had diabetes mellitus, 38.1% had smoked and 21.9% had consumption alcohol.
Table 1 Characteristics of the subjects
| Variable | Frequency | Percentage |
|---|---|---|
Gender
|
56 49 |
53.3 46.7 |
Age
|
12 11 25 27 18 12 |
11.4 10.5 23.8 25.7 17.1 11.4 |
Hypertension
|
21 84 |
20 80 |
Diabetes mellitus
|
18 87 |
17.1 82.9 |
Smoking
|
40 65 |
38.1 61.9 |
Drinks alcohol,
|
23 82 |
21.9 78.1 |
Table 2 shows characteristics divided by gender, the greatest age in the male group with age range of 36-45 years, was 15 people (26.8%) while the female group in the age range 46-55 years was 13 people (26.5%). The subjects with hypertension were mostly in the male group with 12 people (21.4%), DM were mostly in the female group with 10 people (20.4%), who smoked the most in the male group with 39 people (69.9%), drink alcohol were all in the male group with a total of 23 people (41.1%), and prevalence of AAC most were found in the male group with 35 people (62.5%) (Table 2).
Table 2. Characteristics of the subjects divided by gender
| Variable | Male | Female |
|---|---|---|
Age, n (%)
|
|
|
Hypertension, n (%)
|
|
|
Diabetes mellitus, n (%)
|
|
|
Smoking, n (%)
|
|
|
Drinks alcohol, n (%)
|
|
|
AAC
|
|
|
Table 3 shows the age-adjusted in patient had AAC and risk factors. In general, calcification begins in the age range of 36-45 for all risk factors, both in gender, hypertension, DM, smoking and alcohol consumption. Male who had AAC was 35 people, female 25 people, had hypertension was 18 people, had DM was 16 people, had smoked was 27 people and had drink alcohol was 16 people.
Tabel 3 Characteristics of the subjects divided age-adjusted in patient had AAC and risk factors
| Variable | Age group | Total | |||||
|---|---|---|---|---|---|---|---|
| 17-25 | 26-35 | 36-45 | 46-55 | 56-65 | >65 | ||
| Gender | |||||||
|
6 (17.1) | 13 (37.1) | 11 (31.4) | 5 (14.3) | 35 | ||
|
4 (16) | 8 (32) | 6 (24) | 7 (28) | 25 | ||
| Hypertension | 1 (5.6) | 8 (44.4) | 4 (22.2) | 5 (27.8) | 18 | ||
| Diabetes Mellitus | 1 (6.3) | 8 (50) | 3 (18.8) | 4 (25) | 16 | ||
| Smoking | 5 (18.5) | 10 (37) | 7 (25.9) | 5 (18.5) | 27 | ||
| Drink Alcohol | 4 (25) | 4 (25) | 7 (43.8) | 1 (6.3) | 16 | ||
2. Univariate Analysis
Table 4 shows the Chi Square comparative test showed that there was a significant relationship (p<0.05) between age, hypertension and DM with the incidence of AAC. While between gender, smoking and alcohol showed no significant relationship (p>0.05).
Table 4 Tabel Chi Square comparative with AAC score
| Variable | Total N= 105 |
AAC Score | P value | |||
|---|---|---|---|---|---|---|
| 0 | 1-99 | 100-399 | >400 | |||
Gender, n (%)
|
56 49 |
21 (37.5) 24 (49) |
12 (21.4) 7 (14.3) |
9 (16.1) 6 (12.2) |
14 (25) 12 (24.5) |
0.613 |
Age, n (%)
|
12 11 25 27 18 12 |
12 (100) 11 (100) 15 (60) 6 (22.2) 1 (5.6) 0 (0) |
0 (0) 0 (0) 7 (28) 6 (22.2) 6 (33.3) 0 (0) |
0 (0) 0 (0) 2 (8) 10 (37) 3 (16.7) 0 (0) |
0 (0) 0 (0) 1 (4) 5 (18.5) 8 (44.4) 12 (100) |
0.000 |
Hypertension, n (%)
|
21 84 |
3 (14.3) 42 (50) |
4 (19) 15 (17.9) |
5 (23.8) 10 (11.9) |
9 (42.9) 17 (20.2) |
0.017 |
Diabetes, n (%)
|
18 87 |
2 (11.1) 43 (49.4) |
3 (16.7) 16 (18.4) |
6 (33.3) 9 (10.3) |
7 (38.9) 19 (21.8) |
0.006 |
Smoking, n (%)
|
40 65 |
13 (32.5) 32 (49.2) |
7 (17.5) 12 (18.5) |
6 (15) 9 (13.8) |
14 (35) 12 (18.5) |
0.222 |
Drink alcohol, n (%)
|
23 82 |
7 (30.4) 38 (46.3) |
3 (13) 16 (19.5) |
5 (21.7) 10 (12.2) |
8 (34.8) 18 (22) |
0.282 |
The subjects both male and female had the greatest AAC Score = 0, 21 people (37.5%) and 24 people (49%), where statistically p = 0.613 (p>0.05) shows that there is no significant relationship between gender and the incidence of AAC. For age characteristics, the greatest age group was found in the age range of 46-55 years was 27 people, with increasing calcification score as the getting old, this shows that there is a significant relationship between age and AAC (p=0.000). While for other characteristics such as hypertension, DM, smoking and alcohol, were found that more patient didn’t have these risk factors, but who had risk factors, the greatest calcification score was at score 3 (>400), and patient who did not have risk factors, the greatest calcification score was at score 0 (no calcification of the abdominal aorta). Table 4 shows a significant relationship (p<0.05) between hypertension (p=0.0.17), DM (p=0.006), but smoking and alcohol where each value is p=0.222 and p=0.282, which indicates that there is no significant relationship (p>0.05) between smoking and alcohol variables on the incidence of AAC.
DISCUSSION
Arterial calcification is a marker of CAD that is associated with in cardiovascular risk factors and the risk of subsequent cardiovascular event in asymptoms personally. A metaanalysis showed that the incidence and AAC score increased the risk of cerebrovascular events, death and CAD (p<0.0001) for all groups. Factors such as accumulation of phosphate, hormonal changes, inflammation, metabolic disorders and oxidative stress are involved in the differentiation of vascular smooth muscle cells from osteoblasts leading to mineral deposits in the vessel wall. Multifactorial interactions of these factors contribute to the formation and progression of AAC.3,8,9.
The research aims to assess the association of risk factors such as
hypertension, DM,
smoking, alcohol consumption age and gender with AAC. In general, the
greatest age group was found in the age range of 46-55 years was 27
people, the female group was at the age of 46-55years was 13 people
(26.5%) and the male group in the age range of 36-45 years was 15 people
(26.8%). According to theory, risk factors for atherosclerosis occur in
women aged >55 years and men aged >45 years.10
This study also showed that with getting old, AAC will be formed (p<0.001) in accordance with previous studies.3,4,8,11,12 This is attributed to the cumulative role of oxidative stress in the pathogenesis of KAAb. Oxidative stress on vascular smooth muscle cells leads to signaling of osteogenetic differentiation in the vascular wall which will cause calcium deposits thus leading to vascular calcification. Increasing age is also a risk factor for diseases associated with chronic kidney disease, coronary heart disease, neurodegenerative diseases and cancer where increased free radical production also shows a major role in the pathogenesis and development of AAC.9 In the literature search, no studies were found that showed a negative correlation with age, indicating that age is an important risk factor for AAC.8
In this study, there was a difference of males and females in the
incidence of AAC,
35 (58.3%) vs 25 (41.7%), but, this difference was not statistically
significant. The incidence of AAC in males and females appeared together
in the age range of 36-45 years. This is similary with Kim ED et al.
which shows the incidence of AAC most often occurs in the middle age
group.4 Chuang ML et al. also showed the prevalence of AAC
increased with age in both gender. As a risk factor for atherosclerosis,
male have a higher risk than female, therefore gender would be expected
as an important determinant in the incidence of AAC.13 Dixon
et al. show female more significantly to had calcification (p<0.05)
than male for 60-80 years old. This could be due to changes in hormone
levels after menopause in women, where a decrease in estrogen is
associated with an increase in LDL-C which can induce vascular
calcification.8
In this study showed that hypertension has an association with the
incidence of AAC (p = 0.017), which was also found in previous
studies.4,11,14 Like the study by Kim ED et al. found
that
hypertension in female was associated with AAC scores, but not in
male.4 Hypertension is an independent risk factor in the
progression of atherosclerosis and is associated with intimal
calcification as a trigger factor for disease. Much of the prevention of
cardiovascular disease, especially coronary heart disease, lies in
controlling blood pressure. Calcification of the tunica media and
hypertension are closely related, where calcification of the tunica
media can decrease the elasticity of the media which contributes to the
mechanism of hypertension. Decreased elasticity leads to hardening of
the arteries which widening pulse pressure, accelerates pulse velocity,
and causing hypertension. Meanwhile, hypertension is an independent risk
factor for the progression of atherosclerosis and is associated with
intimal calcification as a precipitating factor for cardiovascular
disease.15
In patients with DM, the presence of AAC may be a risk factor for
CAD. This is in accordance with several previous studies showing that DM
is a risk factor in the progression of vascular calcification,
especially intima and media calcification. This may be due to
multifactors such as increased LDL, Vascular Smooth Muscle
Cell (VSMC, and Advanced Glycogen End-Products (AGE). In this
study, there was a significant association between DM and
the incidence of AAC (p=0.006). Just like some previous studies that
also showed a significant
relationship.8,11,16 This is not like study of Toussanit et
al, no significant correlation was found between AAC and DM (p=0.84)
where the sample used was hemodialysis patients.16
Smoking is a risk factor for CAD and atherosclerosis. Further observations showed more calcification in the abdominal aorta than the thoracic aorta, which increased with amount of cigarettes consumed. Several previous studies have shown the effect of smoking on the occurrence of AAC.3,4,8,11,16 The study by Kim ED et al. there is a weak positive correlation between AAC and smoking in male samples (r = 0.349, p <0.001), but not in female samples (r = -0.006, p = 0.934).4 The study of Jee et al. also showed similar results where AAC in female smokers was less than male smokers. This could be because the sample of women who smoked was too low, making it difficult to prove the relationship with AAC. In theory, increasing amount and duration of smoking will increase heart rate and blood pressure and stimulate the sympathetic nervous system continuously. Cigarette-induced oxidative stress also contributes to several mechanisms of cardiovascular disease, including endothelial dysfunction, inflammation, and lipid abnormalities. Radiologic studies on the relationship of smoking to vascular calcification have shown that smoking large amounts of cigarettes contributes to calcium formation in the aorta and coronary arteries. In middle-aged male smokers calcification in the coronary arteries will appear 10 years earlier.17
The last risk factor discussed in my study was alcohol consumption.
The mechanism alcohol causes atherosclerosis is not fully known. Heavy
alcohol consumption reduces nitric
oxide (NO) production by reducing endothelial NO synthesis against
lipoproteins and other plasma
components causing endothelial inflammation/oxidative. In response to
endothelial dysfunction,
the endothelium will follow various humoral changes by depositing
calcium in the area. Previous studies have shown that the relationship
between alcohol and CAD forms a J curve, where light to moderate
drinkers show a reduced risk of coronary heart disease while heavy
drinkers and non-drinkers will actually increase the risk of coronary
heart disease but the pathophysiologic mechanism remains unexplained.
Studies describe various patterns of association between alcohol use and
atherosclerosis, namely no significant association, U or J curves, and
dose response.18
In my study, it showed that all samples who consumed alcohol were in
the male group
(23 people), where there were 16 people (64%) with the incidence of AAC
that appeared in the
age range of 36-45 years and most in the age range of 56-65 years.
However, there was no
statistically significant association between alcohol consumption and
the incidence of AAC (p =
0.282). All samples who consumed alcohol were tuak.
Tuak is a type traditional alcohol
beverage made from fermented palm. This study did not divide alcohol
consumption into light, medium and heavy due to the difficulty of
measuring alcohol levels in the samples studied. Yang et al. showed no
association between alcohol consumption and coronary artery
calcification in both men and women aged ≥45 years.18
The limitations of this study are as follows. First, this study is a
cross-sectional study that
looks at the relationship of AAC incidence with CAD risk factors, not a
case-control or cohort
study that looks at the impact of calcification on the emergence of CAD.
Secondly, the assessment
and measurement of AAC was only in patients who were going to have an
abdominal CT scan due to certain diseases, not in the healthy
population. Third, the variables of hypertension
and diabetes were assessed only based on the history of the disease from
both history and medical
records, no blood pressure measurement and blood sampling were
conducted. Fourth, alcohol
consumption and smoking were only assessed using history, which the
sample may have reported
as none to avoid embarrassment. Fifth, this study was conducted in one
hospital center with a small
sample size.
CONCLUSION
AAC is associated with cardiovascular events and mortality, might be mediated through the effect of calcification on vascular functioning and arterial stiffness. AAC is quantified on CT according to the The Agatston method was a strong predictor of cardiovascular event in adults without cardiovascular symptoms. Non-contrast abdominal CT scan used for other indications can provide information about AAC. Accidental findings of AAC can alert clinicians to a potential risk of cardiovascular disease that should be investigated further. There is a significant relationship (p<0.05) between age, hypertension and DM with the incidence of AAC.
References
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