Carotid Artery Plaque and Progression of Coronary Artery Calcium: The Multi-Ethnic Study of Atherosclerosis




Background


Carotid and coronary atherosclerosis are associated with each other in imaging and autopsy studies. The aim of this study was to evaluate whether carotid artery plaque seen on carotid ultrasound can predict incident coronary artery calcification (CAC).


Methods


Agatston calcium score measurements were repeated in 5,445 participants of the Multi-Ethnic Study of Atherosclerosis (MESA; mean age, 57.9 years; 62.9% women). Internal carotid artery lesions were graded as 0%, 1% to 24%, or >25% diameter narrowing, and intima-media thickness (IMT) was measured. Plaque was present for any stenosis >0%. CAC progression was evaluated with multivariate relative risk regression for CAC scores of 0 at baseline and with multivariate linear regression for CAC score > 0, adjusting for cardiovascular risk factors, body mass index, ethnicity, and common carotid IMT.


Results


CAC was positive at baseline in 2,708 of 5,445 participants (49.7%) and became positive in 458 of 2,837 (16.1%) at a mean interval of 2.4 years between repeat examinations. Plaque and internal carotid artery IMT were both strongly associated with the presence of CAC. After statistical adjustment, the presence of carotid artery plaque significantly predicted incident CAC with a relative risk of 1.37 (95% confidence interval, 1.12–1.67). Incident CAC was associated with internal carotid artery IMT, with a relative risk of 1.13 (95% confidence interval, 1.03–1.25) for each 1-mm increase. Progression of CAC was also significantly associated ( P < .001) with plaque and internal carotid artery IMT.


Conclusions


In individuals free of cardiovascular disease, subjective and quantitative measures of carotid artery plaques by ultrasound imaging are associated with CAC incidence and progression.


The presence of atherosclerotic lesions in the carotid arteries is correlated with the presence of coronary artery disease on imaging studies. The presence of carotid and coronary artery lesions also correlates in autopsy studies, although they do not necessarily share the same associations with cardiovascular risk factors.


Atherosclerotic plaques go through structural changes as they progressively enlarge. During the later stages, these plaques are composed of lipid-rich deposits and fibrous tissue intermixed with areas of necrotic thrombus and calcium deposition. Coronary artery calcification (CAC), expressed as a calcium score, is recognized as a marker of coronary artery disease as well as of coronary artery disease outcomes. A calcium score of 0 is associated with a very low risk for cardiovascular outcomes. Factors leading to the development of a positive calcium score would therefore be of importance.


Given that plaque deposits at the carotid artery bifurcation are correlated with coronary artery lesions, calcified or not, it seems plausible that the presence of carotid artery lesions might be associated with a higher likelihood of developing a positive calcium score.


We studied this hypothesis in the Multi-Ethnic Study of Atherosclerosis (MESA), a longitudinally followed cohort composed of white, black, Chinese, and Hispanic participants, by investigating the associations between carotid artery lesions seen on ultrasound imaging and the short-term likelihood of developing a positive calcium score.


Methods


Population


MESA is composed of a multiethnic population of 6,814 men and women aged 45 to 84 years without histories of clinical cardiovascular disease at baseline enrolled between July 2000 and August 2002 at six sites in the United States. The MESA cohort includes white, African American, Hispanic, and Chinese participants. Participants were excluded at baseline if they had physician diagnoses of heart attack, stroke, transient ischemic attack, heart failure, angina, or atrial fibrillation or histories of any cardiovascular procedures. Participants with weights > 300 lb, pregnancy, or any medical conditions that would prevent long-term participation were also excluded. MESA protocols and all studies described herein were approved by the institutional review boards of all collaborating institutions. All participants gave informed consent.


Risk Factors and Anthropomorphic Variables


Age, gender, race or ethnicity, and medical history were self-reported. The use of antihypertensive and lipid-lowering medications (statins) was also recorded. Current smoking was defined as self-report of one or more cigarettes in the past 30 days and prior smoking as any smoking history before this interval. Body mass index was calculated from the participant’s weight in kilograms divided by the square of height in meters. Resting systolic and diastolic blood pressures were measured three times in the seated position using a Dinamap Pro 100 automated oscillometric sphygmomanometer (Critikon, Tampa, FL).


Glucose and lipids were measured after a 12-hour fast. Serum glucose was measured using rate reflectance spectrophotometry on the Vitros analyzer (Johnson & Johnson Clinical Diagnostics, Inc., Rochester, NY). Diabetes mellitus was determined using the 2003 American Diabetes Association’s fasting criteria algorithm. Total cholesterol was measured using a cholesterol oxidase method (Roche Diagnostics), as was high-density lipoprotein after precipitation of non–high-density lipoprotein cholesterol with magnesium/dextran and triglycerides using Triglyceride GB reagent (Roche Diagnostics GmbH, Mannheim, Germany).


Carotid Artery Measures


The patients were supine, with their heads rotated 45° toward the side opposite to the side being imaged. A transverse sweep was recorded from the low neck through the carotid artery bifurcation into the internal carotid artery (ICA). Doppler velocity measurements were made at the site of any bulb or proximal ICA lesion or in the proximal ICA if no lesions were seen. A common carotid artery was then imaged at 45° from the vertical with the beginning of the bulb shown on the image (to the left). Three views centered on the ICA bulb were taken: one anterior, one lateral (at 45°), and one posterior. Images were acquired on the right and on the left. A matrix array probe (M12L; GE Medical Systems, Milwaukee, WI) was used with the frequency set at 13 MHz for the common carotid artery and 9 MHz for the ICA and with two focal zones at a frame rate of 32 frames/sec.


All carotid artery measurements were blinded and made at the ultrasound reading center in Boston. The two common and six ICA images were used to measure the intima-media thickness (IMT) of both the near and far walls. Common carotid artery IMT was calculated as the mean of the maximum IMT on each of the two common carotid artery images. Maximum ICA IMT was calculated as the maximum wall thickness seen on any of the ICA images. Images of the ICA (three per side) and the videotaped transverse sweep were further reviewed to determine the presence and severity of any lesion in the ICA, either near or far walls. These lesions were graded on a semiquantitative scale of 0% (absent lesion) and lesions causing relative narrowing of 1% to 24% and >25%. Doppler velocity measurements at the site of the lesions with peak systolic velocities ≥ 125 cm/sec were considered to indicate >50% diameter narrowing. The 43 lesions detected in this fashion were included in the >25% group. The greater of the right and left sides was used for final grading of lesion severity. Readers were reviewed every 2 to 3 weeks during sessions to establish uniformity of interpretations by having the principal investigator (J.F.P.) review selected studies. All carotid artery interpretations were blinded to demographics.


Blinded replicate scans were performed and read on 112 participants. Agreement for the presence of plaque was measured as a κ coefficient of 0.92 (standard error, 0.03). The correlation coefficient for replicate ICA IMT measurements was 0.88 ( n = 110) and 0.91 for common carotid artery IMT measurements ( n = 112).


Outcomes


Two separate coronary artery studies were acquired on each participant at baseline (2000–2002) with either electrocardiographically gated electron-beam or multidetector computed tomography during a breath hold. The presence of CAC was determined using the Agatston method. Scans were read centrally at the Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center. Calcification was considered as positive when the Agatston score was >0.


Separate coronary artery scans were repeated on a randomly selected half of the cohort at a second cohort examination (September 2002 to January 2004) and on the other half at the third examination (March 2004 to July 2005). The median interval between visits for the whole cohort was 2.4 years after the baseline examination. All CAC scoring was blinded to demographics.


We restricted our analyses to individuals with complete risk factors. Of the original 6,814 participants, information was missing on risk factors in 157, and five had baseline cardiovascular disease. Further information was missing on plaque in 11, common carotid IMT in 83, and ICA IMT in 106.


All of these 6,452 participants underwent baseline CAC studies. Follow-up CAC studies were available in 5,445. Of the 1,007 participants without CAC follow-up studies, follow-up was maintained in 607 through phone interviews or clinic visits, while follow-up was lost for 400 participants.


The development of a CAC score > 0 was deemed a positive outcome in individuals without positive calcium scores at baseline ( n = 2,837). Change in calcium score was considered the outcome in individuals with calcium scores > 0 at baseline ( n = 2,708).


Statistical Analyses


The mean (and standard deviation) values of continuous variables and the distribution of dichotomous variables as a percentage in each group are shown.


Analysis of variance and χ 2 tests were used to compare individuals with repeat CAC examinations to those without CAC examinations, stratified as individuals with follow-up after the scheduled clinic visit as well as individuals lost to follow-up.


We compared the demographics of individuals with positive calcium scores with those with calcium scores of 0 at baseline using χ 2 and Student’s t tests.


The rate of developing a positive calcium score has been reported at approximately 16% in MESA. Because the odds ratios derived from logistic regression models tend to overestimate the relative risk estimates in situations in which the event rates are high, we used relative risk regression models. We used a modified Poisson approach to estimate the relative risk and confidence intervals (CIs). Cardiovascular risk factors, the time interval between the two CAC studies, and common carotid artery IMT were predictor variables in multivariate risk regression models to which were added measurements of plaque.


In subjects with positive calcium scores at baseline, CAC change over time was used as the outcome in multivariate linear regression models that included the same risk factors as the multivariate risk regression models.


Figures were generated showing the prevalence of positive CAC scores at baseline for each plaque category and each ICA IMT quartile. Similar figures were generated for new-onset CAC score > 0 and change in CAC over the follow-up period.


Statistical analyses were performed using Stata version 11.2 (StataCorp LP, College Station, TX). The level of statistical significance was set to be two sided at P ≤ .05.




Results


At baseline, the average age of the 5,445 participants with follow-up CAC studies ( Table 1 ) was 61.8 years, younger than for individuals with no follow-up studies. Significant differences were seen between the groups without repeat scans and those with, mostly for sex, race or ethnicity, smoking status, diabetes, use of hypertensive medications, and systolic blood pressures. No differences were seen for body mass index, total cholesterol, high-density lipoprotein cholesterols, and the use of statins. Overall, the study cohort had more favorable risk factor levels.



Table 1

Demographics of cohort members and exclusions because of missing CAC scores






































































































































































Variable Follow-up without CAC No follow-up Study cohort P
Age (y) 63.3 ± 10.4 65.0 ± 10.4 61.8 ± 10.2 <.0001
Women 57.7% 51.5% 52.2% .03
Race/ethnicity <.0001
White 36.4% 26.2% 39.9%
Chinese 11.9% 11.0% 12.2%
Black 29.0% 33.5% 26.6%
Hispanic 22.7% 29.3% 21.3%
Smoking status .003
Never 51.1% 45.5% 50.6%
Previous 33.3% 36.5% 36.9%
Current 15.7% 18.0% 12.5%
Presence of diabetes 15.7% 22.3% 13.09 <.0001
Antihypertensive medication use 40.2% 44.5% 35.8% <.0001
Statin use 13.8% 14.5% 14.9% .77
Body mass index (kg/m 2 ) 28.4 ± 5.6 28.6 ± 5.6 28.2 ± 5.4 .31
Systolic blood pressure (mm Hg) 129.1 ± 23.3 131.5 ± 23.9 125.8 ± 21.0 <.0001
Total cholesterol (mg/dL) 195.7 ± 37.9 192.7 ± 39.3 194.2 ± 35.2 .95
High-density lipoprotein cholesterol (mg/dL) 51.1 ± 15.9 50.5 ± 15.0 51.0 ± 14.7 .79
Stenosis <.0001
No plaque 54.4% 49.0% 59.2%
1%–24% narrowing 30.3% 32.0% 28.3%
>25% narrowing 15.3% 19.0% 12.5%
Common carotid artery IMT (mm) 0.88 ± 0.20 0.91 ± 0.23 0.87 ± 0.19 .0001
Maximum ICA IMT (mm) 1.67 ± 1.06 1.80 ± 1.11 1.57 ± 1.03 <.0001
CAC score positive (>0) 51.6% 62.5% 48.8% <.0001
n 607 400 5,445

Data are expressed as mean ± SD or as percentage.


Comparing individuals with positive baseline CAC scores and those with scores of 0 showed significant differences for all risk factors, with the exception of body mass index and total cholesterol ( Table 2 ). The prevalence of a CAC score > 0 is shown in Figure 1 A as a function of the degree of plaque formation and in Figure 1 B as a function of quartiles of internal carotid IMT. There was a progressive increase in the likelihood of having a positive calcium score as the degree of plaque formation and ICA IMT increased.



Table 2

Demographics of participants with CAC scores of 0 at baseline compared with participants with CAC scores > 0






































































































































Variable CAC score = 0 CAC score > 0 P
Age (y) 57.8 ± 9.1 66.0 ± 9.5 <.001
Women 62.5% 41.4% <.001
Race/ethnicity <.001
White 34.6% 45.4%
Chinese 12.2% 12.1%
Black 30.2% 22.8%
Hispanic 22.9% 19.7%
Smoking status <.001
Never 56.3% 44.7%
Previous 31.1% 43.0%
Current 12.7% 12.3%
Presence of diabetes 9.8% 16.6% <.001
Antihypertensive medication use 27.7% 44.4% <.001
Statin use 9.5% 20.6% <.001
Body mass index (kg/m 2 ) 28.2 ± 5.6 28.2 ± 5.2 .69
Systolic blood pressure (mm Hg) 121.9 ± 20.1 129.9 ± 21.2 <.001
Total cholesterol (mg/dL) 193.8 ± 34.5 194.5 ± 35.9 .43
High-density lipoprotein cholesterol (mg/dL) 52.5 ± 15.0 49.5 ± 14.1 <.001
Stenosis <.001
No plaque 73.2% 44.5%
1%–24% 21.3% 35.6%
>25% 5.5% 19.9%
Common carotid artery IMT (mm) 0.82 ± 0.16 0.90 ± 0.20 <.001
Maximum ICA IMT (mm) 1.27 ± 0.77 1.90 ± 1.16 <.001
Total 2,837 2,708

Data are expressed as mean ± SD or as percentage.



Figure 1


(A) Baseline prevalence of positive CAC score for each degree of stenosis with corresponding mean of maximum ICA IMT values of 0.95, 2.02, and 3.50 mm. (B) Baseline prevalence of positive CAC score for maximum ICA IMT quartiles with corresponding mean values of 0.72, 0.99, 1.51, and 3.10 mm.


The average age of individuals without positive CAC scores was 57.8 ± 9.1 years; this group was composed of 62.5% women and had a varied ethnic composition of 34.6% non-Hispanic whites, 12.2% Chinese, 30.2% African Americans, and 22.9% Hispanics. After an average follow-up period of 2.4 years, there were 458 cases of new positive calcium scores (16.1%).


At follow-up, 24.1% of individuals with carotid plaques and 13.3% of individuals without plaque developed positive calcium scores. Stratifying by the mean time interval of 2.4 years, only 8.9% of individuals without carotid artery plaque (95 of 1,073) and <2.4 years of follow-up developed positive calcium scores, whereas 18.0% of individuals without carotid artery plaque and ≥2.4 years of follow-up (180 of 1,003) developed positive calcium scores.


A multivariable risk regression model ( Table 3 ) with ICA plaque coded as the presence of plaque (relative risk ratio, 1.37; 95% CI, 1.12–1.67) showed that smoking was not associated with CAC progression, nor was the use of statin medication, systolic blood pressure, or common carotid IMT. A similar pattern was seen when new models were generated with plaque grade, ICA IMT, and quartiles of IMT substituted for the presence of plaque. The model with plaque grades showed a relative risk of 1.37 (95% CI, 1.11–1.69) for the 1% to 24% stenosis category compared with the absence of plaque, whereas the relative risk for a 25% to 49% stenotic lesion was nonsignificant at 1.37 (95% CI, 0.97–1.93). The addition of ultrasound reader, participant level of education, and level of activity did not alter the association between incident positive coronary calcium score and carotid artery plaque (data not shown). ICA IMT was a significant predictor of incident CAC, with a relative risk of 1.14 (95% CI, 1.03–1.25) for each 1-mm increase. When stratified by quartiles, only the highest quartile of ICA IMT was significant, with a relative risk of 1.41 (95% CI, 1.07–1.87). The diagrams in Figure 2 exemplify these findings, showing an association between incident CAC and the two measures of carotid plaque.



Table 3

Multivariate associations of risk factors with the development of a positive calcium score as an outcome using risk regression modeling ( n = 2,837)


















































































































Variable Relative risk 95% CI P
Age 1.03 1.02–1.04 <.001
Sex (male) 1.43 1.15–1.76 .001
Race/ethnicity
White (referent)
Chinese 0.75 0.52–1.08 .12
Black 0.75 0.59–0.95 .02
Hispanic 0.78 0.61–1.01 .06
Smoking status
None (referent)
Previous 1.12 0.91–1.37 .29
Current 1.21 0.91–1.63 .19
Presence of diabetes 1.23 0.94–1.61 .13
Antihypertensive medication use 1.32 1.07–1.63 .01
Statin use 1.28 0.97–1.69 .08
Body mass index 1.034 1.015–1.052 <.001
Systolic blood pressure 1.005 1.000–1.010 .07
Total cholesterol 1.003 1.001–1.006 .01
High-density lipoprotein cholesterol 0.990 0.983–0.998 .01
Time 1.41 1.27–1.57 <.001
Common carotid artery IMT 0.92 0.50–1.71 .80
Presence of plaque 1.37 1.12–1.67 .002

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Jun 2, 2018 | Posted by in CARDIOLOGY | Comments Off on Carotid Artery Plaque and Progression of Coronary Artery Calcium: The Multi-Ethnic Study of Atherosclerosis

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