Coronary Artery Calcium Score: Current Efficacy of Cardiac CT in Patients at Hail Region, Saudi Arabia

 

Qurain Turki Alshammari1*, Ohood Alrashidi1, Wed Almutairi1,2, Eman Alshammari1,2, Meshari T. Alshammari1,3, Shashi Kumar CG4, Mohammed Salih1, Abdelmoneim Sulieman5, Moawia Gameraddin6, Bushra Abdul Malik1, Amjad R. Alyahyawi1,7

1Department of Diagnostic Radiology, College of Applied Medical Sciecnes, University of Hail, Hail, Saudi Arabia.

2Department of the Diagnostic Radiology, Hail Health Cluster, Ministry of Health, Saudi Arabia.

3Translational Medical Sciences and National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham NG7 2UH, UK.

4Department of Physical Therapy, College of Applied Medical Sciences, University of Hail, Saudi Arabia.

5Department of Radiology and Medical Imaging Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.

6Department of Diagnostic Radiologic Technology, Faculty of Applied Medical Sciences, Taibah University, Al-Madina, Saudi Arabia.

7Centre for Nuclear and Radiation Physics, Department of Physics, University of Surrey, Guildford, Surrey, UK.

 

*Email: [email protected]


ABSTRACT

Calcium levels in the Coronary Artery are an indicative marker of the presence and extent of atherosclerosis. This serves as an additional prognostic indicator in addition to traditional risk factors. Moreover, the coronary calcium test is associated with a descriptor known as the calcium score or calcium score (Cs), which is primarily useful for stratifying the risk of asymptomatic patients, while for patients with acute or chronic chest pain, coronary axial computed tomography is generally required. A retrospective analysis of data was conducted in the radiology department of King Salman Specialist Hospital in Hail City, the kingdom of Saudi Arabia, between January and May 2022. A total of 40 patients were randomly selected, 25 males and 15 females. The study included all patients with or suspected of having a calcium deposit who underwent a CT scan using the Siemens SOMATOM definition MDC scan. Patients underwent a scan with the preparations and laboratory tests required for their coronary artery calcium scores. In this study, males were more likely to be affected by calcium deposits (64%), whereas females were 36%. Approximately 50 percent of the study populations were found to be normal (no identifiable calcium deposits) and 37.5% to have moderate calcium deposits. There is a significant association between CACS and moderate CVD risks based on age and gender in this study. Better control of cardiovascular system (CVS) risks is recommended in all primary care centers in the Kingdom of Saudi Arabia (KSA).

Key words: Coronary artery disease, CT cardiac, Calcium score, Agatston score, CAC score


INTRODUCTION

Across the world, cardiovascular disease (CVD) is a major public health concern, including coronary artery disease, strokes, and peripheral vascular diseases [1]. Similarly, cardiovascular disease is becoming a major public health issue in Gulf Council countries, including Saudi Arabia. It is estimated that over 45% of all deaths are caused by CVD. According to the Saudi Ministry of Health, the prevalence of coronary artery disease is 5.5% in the Kingdom of Saudi Arabia (KSA), with slightly higher rates in urban areas than in rural areas (6 vs. 4.2%, respectively) [2]. As a result of rapid urbanization, lifestyles in Gulf countries have changed dramatically. People eat poorly and are sedentary. As a result, the Gulf population is also at risk of CVD and chronic non-communicable diseases [3].

A significant variation exists between the countries of the world regarding the incidences of cardiovascular disease (CVD), ischemic heart disease, and stroke, with declining rates among developing and poor countries, whereas a corresponding mortality rate and risk prevalence are predicted to be the leading cause of death in developing countries by 2025 [4]. It may be attributed to the fact that smoking habits may be alerted to a change in lifestyle, a change in nitration, and an improvement in medical health care &, an awareness which may be lacking in developing countries. During the early decades of the Saudi Arabian monarchy, the country made significant investments in education, healthcare, and research to combat cardiovascular diseases (CVD) [5].

“A total risk score” is a very useful tool, and should be used as the first method of stratification, even though they are only able to predict 65–80% of the future cardiovascular events that will occur [6]. It is possible to measure coronary artery calcium (CAC) using computed tomography radially and non-invasively as an indicator of an elevated risk of coronary heart disease [7]. Computed tomography can characterize coronary artery calcification as well as the burden of coronary atherosclerosis and the risk of cardiovascular events. The purpose of the present study was to evaluate the Coronary Artery Calcium Score to predict Coronary Heart Disease Events in Saudi Arabia using computed tomography cardiac scoring.

MATERIALS AND METHODS

Following the principles of the Declaration of Helsinki, this study was conducted at King Salman Specialist Hospital, Hail, Saudi Arabia, from December 2020 to December 2021. Written informed consent was obtained after the human research and ethics committees at the University of Hail and King Salman Specialist Hospital (H-2022-188) approved the study.

A total of 40 subjects with suspected symptomatic coronary artery disease underwent conventional coronary angiography, ranging in age from 20 to 90 years. Subjects with a history of cardiac surgery, allergy to iodinated contrast dye or contrast dye–induced nephropathy, multiple myeloma, organ transplantation, elevated serum creatinine level (>1.5 mg per decilitre [133 μmol per liter]), or creatinine clearance less than 60 ml per minute, atrial fibrillation, heart failure (New York Heart Association class III or IV), aortic stenosis, percutaneous coronary intervention within the past 6 months, intolerance to beta-blockers, or a body-mass index of more than 40 were excluded from the study.

Procedure

Subjects underwent 64-row scanners with a slice thickness of 0.5 mm (SOMATOM Definition, Siemens Medical Solution, Forchhemi, Germany, Toshiba) for multidetector CT tests (coronary calcium scoring and angiography). The participants were scanned twice with radiographic phantoms containing identical concentrations of calcium underneath the thorax of certified technologists. During a CT scan at a King Salman Specialist Hospital, a radiologist or cardiologist read the scan and used an interactive scoring system to evaluate it.

Based on the estimated attenuation of the calcium phantom, the reader-workstation interface calibrated each tomographic image before identifying and quantifying coronary calcium in each image. In all analyses, the mean of the two scans was used to calculate the coronary calcium score (Agatston score).

Calcium scoring was performed using prospective electrocardiographic (ECG) gating with a gantry rotation of 400 milliseconds, tube voltage of 120 kV, and tube current of 300 mA. Adaptive multisegmented CT angiography was performed using retrospective ECG gating and heart rate-adjusted gantry rotations between 350 and 500 msec. An effective radiation dose of 12 to 15 mSv was determined by the pitch and tube currents of the multidetector CT calcium scoring based on the patient's weight. This dose was a maximum effective dose of 20 mSv. Women were subjected to a cap of 270 mA, while men were subjected to a cap of 400 mA. The patient received intravenous iopamidol (Isovue 370, Bracco Diagnostics) as well as sublingual nitrates before multidetector CT angiography. If the resting heart rate was greater than 70 beats per minute, beta-blockers were administered. A patient's data were excluded from analysis if their heart rate during acquisition exceeded 80 beats per minute.

The raw image data sets from all acquisitions have been analyzed by an independent reader. We performed multisegmented reconstruction using 0.5 mm slice thickness, 0.3 mm overlap, multiple phases, and editing of the ECG signals.

Measurement of calcium score

A subject lying supine on the CT scanner table with feet first is scanned with the center of the scanner at approximately 1 cm above the diaphragm. This is between the symphysis pubis and the diaphragm. This image is scanned with the following parameters: slice thickness of 5 millimeters, an interval of 0.2 millimeters, limited to the cardiac region. A small, sticky disc of electrodes will be attached to the patient's chest and to the electrocardiograph, which will be used to record heart electrical activity. As a result, it is possible to obtain CT scans when the heart is not actively contracting.

A calcified area is defined as an area with a hyperattenuating gradient of at least 1 mm2 and having > 130 Hounsfield units (HU) or three adjacent pixels. Once the CT scan has been completed, the table will move slowly through the machine as it is scanned. It may be necessary for the machine to make several passes depending on the type of CT scan. While images are being captured, patients are asked to hold their breath for a period of 10 to 20 seconds. CT scanning usually takes about 10 minutes to complete (Figures 1 and 2).

 

a)

b)

Figure 1. Imaging of mild calcium score in LAD

 

a)

b)

Figure 2. Imaging with zero calcium score

Table 1. Clinical characteristics of the subjects

 

Frequency

Percentage

Female

15

35.5

male

25

62.5

from 51-70 years

20

50.0

less than 50 years

17

42.5

More than 70 years

3

7.5

Atherosclerotic heart disease

1

2.5

Chest pain

25

62.5

Chest pain Hyperlipidemia

1

2.5

chest pain varicose veins in lower extremities

1

2.5

COVID19

1

2.5

Dilated cardiomyopathy

3

7.5

Dyspnea

4

10.0

ischemic cardiopathy

2

5.0

Other allergic, rhinitis

1

2.5

Palpitations

1

2.5

 

Table 2. Percentage of calcium deposits in coronary artery

 

 

Frequency

Percentage

left main coronary artery calcium deposit

indeterminate patency

1

2.5

low Risk

1

2.5

Mild Calcium Deposits

2

5.0

Moderate

1

2.5

No identifiable calcium deposits

33

82.5

non calcifed plaque with severe stenosis

1

2.5

left anterior descending artery calcium deposit

calcified plaque with minimal stenosis

1

2.5

Calcified plaque no stenosis

1

2.5

indeterminate patency

1

2.5

Low Risk

1

2.5

Mild Calcium Deposits

5

12.5

mild nonobstructive LAD stenosis

1

2.5

Moderate Calcium Deposits

3

7.5

No identifiable calcium deposits

25

62.5

proximal total occlusion

1

2.5

severe stenosis

1

2.5

left circumflex artery calcium deposit

calcified plaque no stenosis

1

2.5

indeterminate patency

1

2.5

low Risk

1

2.5

mixed plaque with severe stenosis

1

2.5

moderate Calcium Deposits

1

2.5

No identifiable calcium deposits

32

80.0

no significant disease

1

2.5

stenosis

1

2.5

right coronary artery calcium deposit

calcified plaque no stenosis

1

2.5

indeterminate patency

1

2.5

Low Risk

1

2.5

No identifiable calcium deposits

33

82.5

non-calcified plaque with severe stenosis

1

2.5

normal

1

2.5

occluded

1

2.5

 

Table 3. The total coronary artery calcium deposit (score)

 

CAC score

Frequency

Percentage

Normal

0

22

55.0

Minimal

1-10

0

0

Indeterminate CAD

11-100

1

2.5

moderate

101-400

15

37.5

severe native CAD

Over 400

2

5.0

 

Table 4. Correlation between gender and calcification

 

TOTAL CA

Total

Normal

Minimal

intermediate

Moderate

severe

Gender

Male

0

1

7

16

2

25

Female

1

0

7

6

0

14

Total

1

1

14

22

2

40

 

Value  0.025

 

Table 5. Correlation between age and calcification

 

TOTAL CA

Total

Normal

Minimal

intermediate

Moderate

severe

Age

From 51-70 years

1

0

9

8

2

20

Less than 50 years

0

1

2

14

0

17

More than 70 years

0

0

3

0

0

3

Total

1

1

14

22

2

40

 

P.Value 0.030

RESULTS AND DISCUSSION

Based on the results of the study, 64% of males are affected by calcium deposits, compared with 36% of females. The majority of the subjects were males (62.5%), while the majority of the females (35.5%) were between the ages of 51 and 70, and 42.5% were younger than 50. The results indicate that 62.5% of the subjects had a history of chest pain, with dyspnea occurring in 10% of them (Table 1). A total of 5% of the subjects had severe calcium deposits, 37.5% showed moderate deposits, 2.5% had intermediate deposits, and 55% had no calcium deposits. As shown in Tables 2 and 3, male subjects had a significantly higher correlation in calcification than female subjects, and subjects aged 51 to 70 years had a significantly higher correlation in calcification (0.030) (Tables 2 and 3). Tables 4 and 5 summarizes the correlation between the calcification and gender and age, respectively (Tables 4 and 5).

The Coronary Artery Calcification Scoring technique provides an inexpensive and reproducible method for determining the presence and extent of calcified coronary artery plaque in the arteries. The procedure does not require contrast, and it can be performed on any patient who is capable of holding their breath for five to ten seconds [6].

Image acquisition guidelines for CAC testing have been previously published [8, 9]. The examination requires no intravenous (IV) access, and there is no need for patients to prepare in any way other than practicing holding their breath and remaining still during the examination. CAC scanning is not preceded by the administration of any medications in most centers. However, beta-blockers may be administered to patients with elevated heart rates if they are deemed to be at risk.

[10] During diastole, axial mode scanning should be used with prospective electrocardiogram triggering. To achieve a sufficient balance between radiation dose and image noise, the scan settings include a tube voltage of 120 kV and a tube current based on the size of the patient [11].

An Agatston score is used to quantify the calcium content of plaques. This score is calculated by multiplying the CT density of each plaque area by the amount of calcium within it. It has been demonstrated that CAC scoring is capable of predicting cardiovascular events independently as well as improving traditional risk prediction models [12, 13]. According to several large observational studies, CAC significantly improves the accuracy of risk prediction when added to standard risk prediction models compared to other novel biomarkers or a combination of biomarkers [14-16]. It is important to note that CAC scoring has superior predictive capabilities because it can correctly classify patients into high- and low-risk categories [17]. The risk of coronary artery disease is extremely low for individuals without coronary artery calcifications (CAC = 0). According to the present study, 55% of the subjects had a CAC score of 0, which indicates an extremely low risk of cardiovascular disease. This is similar to that found by Mouden et al., In the majority of cases, the results of the study were normal (50 percent of the total CAs were normal, and no calcium deposits were observed) [18].

The utility of CAC scoring for enhancing risk prediction for individuals at intermediate risk has received considerable attention. A total of 37.5% of the subjects in this study were at moderate risk for coronary artery disease with CAC scores between 101 and 400. In addition, 5% were at severe risk for coronary artery disease. According to estimates of all-CHD event rates over 10 years, high CAC scores (over 100) are associated with nearly 10% of all-CHD events among individuals traditionally considered low risk, regardless of their risk factor burden or calculated risk score [19]. In contrast, CAC scores of zero are associated with an all-CHD event rate of roughly 3% among individuals traditionally identified as high risk by the FRS or risk factor burden [20]. It has been found that individuals with no risk factors and an elevated CAC score have nearly three times the event rate as those with multiple risk factors and a zero CAC score. The CAC is an analysis of data drawn from several large observational cohorts that offer the potential for producing a refined, and personalized risk estimate for the primary prevention of cardiovascular disease [21-23].

However, it is important to note that CAC has a significant prognostic value across a wide spectrum of age groups and risk factors. A moderate calcification risk was observed in the present study among male subjects with an age greater than 50 years. Even though studies have shown that coronary artery calcification is age and gender-dependent and that it occurs in 90% of men and 67% of women over the age of 70. Similarly, a population-based study, documented that age and male sex are the most important risk factors for coronary calcification [24]. There is a strong association between cardiovascular risk factors and the amount of coronary calcification in asymptomatic individuals; almost 30 percent of men and 15 percent of women without cardiovascular risk factors have extensive coronary calcification [25]. The prevalence is higher in men than in women as a result of a variety of precipitating factors such as smoking, lifestyle choices, and associated health conditions such as diabetes mellitus and hypertension. It is imperative to consider the entire clinical scenario in such patients and not just the score. If a patient presents with an elevated calcium score but has no symptoms and falls into the intermediate or moderate-risk group, there is evidence to suggest that he or she should be started on statin or aspirin therapy or both [26].

CONCLUSION

This study confirms the significant association between the CACS and CACS (101-400), which was also associated with both age and gender. In symptomatic patients with CAD, calcium screening may provide an additional filter before coronary angiography; however, a zero CACS might not exclude the presence of significant CAD. It is recommended that all primary care centers in the Kingdom of Saudi Arabia (KSA) must manage cardiovascular system (CVS) risks more effectively. A randomized controlled trial is necessary to assess the true impact of CT risk stratification on long-term prognosis.

ACKNOWLEDGMENTS : The authors would like to acknowledge the Deanship of the Scientific Research of the University of Hail, Saudi Arabia for funding and supporting this research project.

CONFLICT OF INTEREST : None

FINANCIAL SUPPORT : This research is funded by Deanship of the Scientific Research of the University of Hail, Saudi Arabia.

ETHICS STATEMENT : Ethical approval is obtained from University ethical committee, University of Hail.

References

1.       Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, et al. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019: Update from the GBD 2019 Study. J Am Coll Cardiol. 2020;76(25):2982-3021. Available from: https://www.sciencedirect.com/science/article/pii/S0735109720377755

2.       Najlaa Aljefree FAP. Prevalence of Cardiovascular Disease and Associated Risk Factors among Adult Population in the Gulf Region: A Systematic Review. Adv Public Health. 2015;7(3):01-23.

3.       Alhabib KF, Bates MA, Almigbal TH, Alshamiri MQ, Altaradi H, Rangarajan S, et al. Demographic, behavioral, and cardiovascular disease risk factors in the Saudi population: results from the Prospective Urban Rural Epidemiology study (PURE-Saudi). BMC Public Health. 2020;20(1):1213.

4.       Roth GA, Nguyen G, Forouzanfar MH, Mokdad AH, Naghavi M, Murray CJL. Estimates of global and regional premature cardiovascular mortality in 2025. Circulation. 2015;132(13):1270-1.

5.       Al-Baghli NA, Al-Ghamdi AJ, Al-Turki KA, El-Zubaier AG, Al-Mostafa BA, Al-Baghli FA, et al. Awareness of cardiovascular disease in eastern Saudi Arabia. J Family Community Med. 2010;17(1):15-21.

6.       Neves PO, Andrade J, Monção H. Coronary artery calcium score: current status. Radiol Bras. 2017;50(3):182-9.

7.       Mahmood T, Shapiro MD. Coronary artery calcium testing in low-intermediate risk symptomatic patients with suspected coronary artery disease: An effective gatekeeper to further testing? PLoS One. 2020;15(10):e0240539.

8.       Dorbala S, Di Carli MF, Delbeke D, Abbara S, De Puey EG, Dilsizian V, et al. SNMMI/ASNC/SCCT guideline for cardiac SPECT/CT and PET/CT 1.0. J Nucl Med. 2013;54(8):1485-507.

9.       Hecht HS, Cronin P, Blaha MJ, Budoff MJ, Kazerooni EA, Narula J, et al. 2016 SCCT/STR guidelines for coronary artery calcium scoring of non-contrast noncardiac chest CT scans: A report of the Society of Cardiovascular Computed Tomography and Society of Thoracic Radiology. J Cardiovasc Comput Tomogr. 2017;11(1):74-84.

10.    Sabarudin A, Sun Z. Beta-blocker administration protocol for prospectively ECG-triggered coronary CT angiography. World J Cardiol. 2013;5(12):453.

11.    Bhalla AS, Das A, Naranja P, Irodi A, Raj V, Goyal A. Imaging protocols for CT chest: A recommendation. Indian J Radiol Imaging. 2019;29(3):236-46.

12.    Greenland P, Blaha MJ, Budoff MJ, Erbel R, Watson KE. Coronary Calcium Score and Cardiovascular Risk. J Am Coll Cardiol. 2018;72(4):434-47.

13.    Zeb I, Budoff M. Coronary artery calcium screening: does it perform better than other cardiovascular risk stratification tools? Int J Mol Sci. 2015;16(3):6606-20.

14.    Ge Y, Wang TJ. Identifying novel biomarkers for cardiovascular disease risk prediction. J Intern Med. 2012;272(5):430-9.

15.    Wang TJ. Assessing the role of circulating, genetic, and imaging biomarkers in cardiovascular risk prediction. Circulation. 2011;123(5):551-65.

16.    Manson JE, Bassuk SS. Biomarkers of cardiovascular disease risk in women. Metabolism. 2015;64(3 Suppl 1):S33-9.

17.    Blankstein R, Gupta A, Rana JS, Nasir K. The Implication of Coronary Artery Calcium Testing for Cardiovascular Disease Prevention and Diabetes. Endocrinol Metab (Seoul, Korea). 2017;32(1):47-57.

18.    Mouden M, Timmer JR, Reiffers S, Oostdijk AHJ, Knollema S, Ottervanger JP, et al. Coronary artery calcium scoring to exclude flow-limiting coronary artery disease in symptomatic stable patients at low or intermediate risk. Radiology. 2013;269(1):77-83.

19.    Divakaran S, Cheezum MK, Hulten EA, Bittencourt MS, Silverman MG, Nasir K, et al. Use of cardiac CT and calcium scoring for detecting coronary plaque: implications on prognosis and patient management. Br J Radiol. 2015;88(1046):20140594.

20.    Silverman MG, Blaha MJ, Krumholz HM, Budoff MJ, Blankstein R, Sibley CT, et al. Impact of coronary artery calcium on coronary heart disease events in individuals at the extremes of traditional risk factor burden: the Multi-Ethnic Study of Atherosclerosis. Eur Heart J. 2014;35(33):2232-41.

21.    Curry SJ, Krist AH, Owens DK, Barry MJ, Caughey AB, Davidson KW, et al. Risk assessment for cardiovascular disease with nontraditional risk factors: US preventive services task force recommendation statement. J Am Med Assoc. 2018;320(3):272-80.

22.    Martin SS, Sperling LS, Blaha MJ, Wilson PWF, Gluckman TJ, Blumenthal RS, et al. Clinician-patient risk discussion for atherosclerotic cardiovascular disease prevention: importance to the implementation of the 2013 ACC/AHA Guidelines. J Am Coll Cardiol. 2015;65(13):1361-8.

23.    Lloyd-Jones DM, Braun LT, Ndumele CE, Smith SC, Sperling LS, Virani SS, et al. Use of Risk Assessment Tools to Guide Decision-Making in the Primary Prevention of Atherosclerotic Cardiovascular Disease: A Special Report from the American Heart Association and American College of Cardiology. Circulation. 2019;139(25):E1162-77.

24.    Ulusoy FR, Yolcu M, Ipek E, Korkmaz AF, Gurler MY, Gulbaran M. Coronary Artery Disease Risk Factors, Coronary Artery Calcification and Coronary Bypass Surgery. J Clin Diagn Res. 2015;9(5):OC06-10.

25.    Oei HHS, Vliegenthart R, Hofman A, Oudkerk M, Witteman JCM. Risk factors for coronary calcification in older subjects: The Rotterdam Coronary Calcification Study. Eur Heart J. 2004;25(1):48-55.

26.    Miedema MD, Duprez DA, Misialek JR, Blaha MJ, Nasir K, Silverman MG, et al. Use of coronary artery calcium testing to guide aspirin utilization for primary prevention: estimates from the multi-ethnic study of atherosclerosis. Circ Cardiovasc Qual Outcomes. 2014;7(3):453-60.