Literature DB >> 29739796

Prevalence of Carotid Plaque in a 63- to 65-Year-Old Norwegian Cohort From the General Population: The ACE (Akershus Cardiac Examination) 1950 Study.

Håkon Ihle-Hansen1,2, Thea Vigen2,3, Hege Ihle-Hansen4, Ole Morten Rønning2,3, Trygve Berge4,2, Bente Thommessen3, Magnus Nakrem Lyngbakken2,3, Eivind Bjørkan Orstad3, Steve Enger4, Ståle Nygård5, Helge Røsjø2,3, Arnljot Tveit4,2.   

Abstract

BACKGROUND: New data on extracranial carotid atherosclerosis are needed, as improved ultrasound techniques may detect more atherosclerosis, the definition of plaque has changed over the years, and better cardiovascular risk control in the population may have changed patterns of carotid arterial wall disease and actual prevalence of established cardiovascular disease. We investigated the prevalence of atherosclerotic carotid plaques and carotid intima-media thickness (cIMT) and their relation to cardiovascular risk factors in a middle-aged cohort from the general population. METHODS AND
RESULTS: We performed carotid ultrasound in 3683 participants who were born in 1950 and included in a population-based Norwegian study. Carotid plaque and cIMT were assessed according to the Mannheim Carotid Intima-Media Thickness and Plaque Consensus, and a carotid plaque score was used to calculate atherosclerotic burden. The participants were aged 63 to 65 years, and 49% were women. The prevalence of established cardiovascular disease was low (10%), but 62% had hypertension, 53% had hypercholesterolemia, 11% had diabetes mellitus, and 23% were obese. Mean cIMT was 0.73±0.11 mm, and atherosclerotic carotid plaques were present in 87% of the participants (median plaque score: 2; interquartile range: 3). Most of the cardiovascular risk factors, with the exception of diabetes mellitus, obesity and waist-hip ratio, were independently associated with the plaque score. In contrast, only sex, hypertension, obesity, current smoking, and cerebrovascular disease were associated with cIMT.
CONCLUSIONS: We found very high prevalence of carotid plaque in this middle-aged population, and our data support a greater association between cardiovascular risk factors and plaque burden, compared with cIMT. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT01555411.
© 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.

Entities:  

Keywords:  atherosclerosis; cardiovascular disease; carotid artery; carotid ultrasound

Mesh:

Year:  2018        PMID: 29739796      PMCID: PMC6015330          DOI: 10.1161/JAHA.118.008562

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Clinical Perspective

What Is New?

Carotid plaque was found in nearly 9 of 10 participants aged 63 to 65 years in this population‐based study. Traditional cardiovascular risk factors were common in participants with carotid plaque, and we found a strong association between cardiovascular risk factors and carotid plaque burden.

What Are the Clinical Implications?

When performing ultrasound examination of the carotid arteries in participants aged 63 to 65 years, carotid plaque will be a frequent finding. Our findings support previous data suggesting that assessment of carotid plaque burden may be more useful than measuring carotid intima–media thickness in cardiovascular risk stratification.

Introduction

Atherosclerosis is a systemic disease that affects the vascular system and that develops gradually over years, initially as a thickening of the vessel wall and slowly developing into an atherosclerotic formation.1 B‐mode ultrasound examination of the carotid artery is an effective and validated noninvasive method to assess the degree of atherosclerosis and subclinical disease. Both carotid intima–media thickness (cIMT) and carotid plaque have been used as surrogate markers of atherosclerosis and cardiovascular disease (CVD). Traditionally, cIMT is thought to represent the first structural change in the atherosclerotic process, likely to progress to an atheroma located in the carotid wall. Among all ultrasound measures, the total plaque area (the sum of all plaque areas) as a marker for plaque burden has been shown to be the strongest predictor of future cardiovascular events.2 Previous reports regarding the prevalence of carotid plaque and cIMT thickness are scarce and of older date.3, 4, 5 New and improved ultrasound techniques enhance atherosclerosis detection and thus may influence the measured plaque prevalence. In addition, increased awareness and treatment of modifiable risk factors may have affected the prevalence of subclinical vascular disease. The aim of this study was to explore the prevalence of subclinical atherosclerotic carotid disease, measured with ultrasound in a large cohort from the Norwegian population aged 63 to 65 years, and the associations with cardiovascular risk factors.

Methods

The data set used in this study is not publicly available; the Data Protection Authority approval and patient consent do not allow for such publication. However, the study group welcomes initiatives for cooperation, and data access may be granted upon application. More information is available on the study website (http://www.ace1950.no). The ACE (Akershus Cardiac Examination) 1950 study is a prospective, population‐based, cohort study of the cerebrovascular and cardiovascular health of all men and women born in 1950 in Akershus County, Norway. The design of the study was published previously.6 In short, at the baseline visit, all participants underwent an interview, clinical examination, fasting blood samples, and advanced imaging. The participants were examined at one of the 2 hospitals in the county (Akershus University Hospital or Bærum Hospital, Vestre Viken Health Trust).

Medical History and Lifestyle Variables

Hypertension was defined as an average measurement of systolic blood pressure >140 mm Hg or diastolic blood pressure >90 mm Hg in sitting position after 10 minutes of rest and/or use of antihypertensive medication. Diabetes mellitus was defined as HbA1c ≥6.5% and/or fasting plasma glucose ≥7.0 mmol/L and/or use of glucose‐lowering medication. Obesity was defined according to the World Health Organization definition (body mass index [kg/m²] ≥30).7 Hypercholesterolemia was defined as total cholesterol ≥6.2 mmol/L and/or low‐density lipoprotein ≥4.1 mmol/L8 and/or use of lipid‐lowering medication. History of stroke or transient ischemic attack, CVD, smoking habits, and level of physical activity were self‐reported. Higher education was defined as >12 years of formal education. Systemic Coronary Risk Evaluation (SCORE) was used to calculate the cardiovascular risk in the study population.9

B‐Mode Ultrasound Recordings of the Carotid Artery

Ultrasound images of the right and left extracranial arteries (common carotid artery, internal and external carotid artery) were recorded in both long‐ and short‐axis views on a Vivid E9 machine (GE Healthcare) using a linear L9 array transducer for vascular imaging. The cIMT was measured in B‐mode using a semiautomated IMT package for the Vivid E9 system. The measurements were conducted over a minimum of 10‐mm length on both sides at the far wall in the common carotid artery, longitudinal and perpendicular to the ultrasound beam, in lateral view, at least 5 mm proximal of the bifurcation in an area with clearly defined lumen–intima and in a region free of plaque. The mean average cIMT was used (Figure 1).10
Figure 1

Carotid intima–media thickness (cIMT). The cIMT was measured in B‐mode, longitudinal view, using a semiautomated IMT package for the Vivid E9 system. The measurements were conducted over a minimum 10‐mm length, at the far wall in the common carotid artery (CC), at least 5 mm proximal of the bifurcation in an area with clearly defined lumen–intima and in a region free of plaque. The mean average cIMT was used (0.55 mm in this example). IMT, indicates intima–media thickness.

Carotid intima–media thickness (cIMT). The cIMT was measured in B‐mode, longitudinal view, using a semiautomated IMT package for the Vivid E9 system. The measurements were conducted over a minimum 10‐mm length, at the far wall in the common carotid artery (CC), at least 5 mm proximal of the bifurcation in an area with clearly defined lumen–intima and in a region free of plaque. The mean average cIMT was used (0.55 mm in this example). IMT, indicates intima–media thickness. A plaque was defined according to the latest version of the Mannheim Carotid Intima–Media Thickness and Plaque Consensus: a focal structure that protrudes into the arterial lumen of at least 0.5 mm or 50% of the surrounding cIMT value or that demonstrates a thickness of 1.5 mm measured form the media–adventitia interface.11 The carotid artery was divided into 4 segments (common carotid artery, bifurcation, and internal and external carotid artery), and plaques were assessed in each segment.12 The diameter of the greatest plaque in each segment was measured. Plaque diameters ≥1.5, ≥2.5, and ≥3.5 mm were given 1, 2, and 3 points, respectively (Figure 2). The point scores for each of the 4 segments were summarized into a total plaque burden score, ranging from 0 to 24 points.12 Plaque assessment was performed blinded to medical history status and cardiovascular risk profile.
Figure 2

Plaque formation located in the right common carotid (CC) artery. For calculation of the carotid plaque burden, the carotid artery was divided in 4 segments (common carotid artery, bifurcation, and internal and external carotid artery), and plaques were assessed in each segment. The largest plaque from every segment was measured. Plaque diameters ≥1.5, ≥2.5, and ≥3.5 mm were given 1, 2, and 3 points, respectively, with a segment score of 2 (diameter of the largest plaque: 3.1 mm) for the right common carotid artery in this participant. Finally, the scores from all segments were summarized into a total plaque burden score ranging from 0 to 24 points.

Plaque formation located in the right common carotid (CC) artery. For calculation of the carotid plaque burden, the carotid artery was divided in 4 segments (common carotid artery, bifurcation, and internal and external carotid artery), and plaques were assessed in each segment. The largest plaque from every segment was measured. Plaque diameters ≥1.5, ≥2.5, and ≥3.5 mm were given 1, 2, and 3 points, respectively, with a segment score of 2 (diameter of the largest plaque: 3.1 mm) for the right common carotid artery in this participant. Finally, the scores from all segments were summarized into a total plaque burden score ranging from 0 to 24 points. Carotid artery stenosis severity was assessed in accordance with Consensus Panel gray scale and Doppler US criteria13; peak velocity <125 cm/s was considered normal, 125 to 230 cm/s showed 50% to 69% stenosis, and >230 cm/s showed >70% stenosis. The examinations were performed by 2 ultrasound technicians and 2 physicians, all trained in vascular ultrasound, and all underwent a joint training program before the start of the study. All analyses were performed offline on Echopac PC v12 (GE Vingmed) by the 2 physicians. Inter‐ and intrarater reliability tests were performed twice during the inclusion period, in which the 2 physicians measured plaque diameter twice for plaque score calculation on the same 25 randomly selected examinations. Both tests showed excellent results (Cronbach κ=0.999).

Ethics

The study protocol was approved by the Regional Committees for Medical and Health Research Ethics in Norway (ref. number 2011/1475). All participants signed written informed consent before entering the study.

Statistical Analysis

Descriptive demographic and clinical measures are shown as mean±SD or as numbers and percentages. The cIMT is given as mean±SD, plaque score is shown as median and interquartile range, and prevalence is shown as percentages with 95% confidence intervals (score with continuity correction; Fleiss quadratic). The independent‐samples Student t test was used for comparisons between groups. Categorical variables were compared using the χ2 test. Distribution of plaque burden was assessed in relation to risk burden using percentiles. The impact of clinical variables on plaque score was analyzed using Poisson regression, because the plaque scores were approximately Poisson distributed (Figure 3), whereas linear regression was used to assess the impact of clinical variables on cIMT, as cIMT was approximately normally distributed. Variables with P≤0.1 in univariate analyses were included in the multivariate analyses. The significance level was set at P<0.05 in the multivariate analysis. All analyses were performed using IBM SPSS Statistics 23 software.
Figure 3

Plaque score distribution.

Plaque score distribution.

Results

After inviting 5827 participants, a total of 3706 were included in the ACE 1950 study (attendance rate 64%). One had missing values because of technical and anatomical difficulties and 22 declined to take part in the ultrasound survey, leaving 3683 participants with complete carotid ultrasound examinations (Figure 4). The participants were aged 63 to 65 years (mean: 63.9±0.7 years), and 1887 (51%) were male. Clinical characteristics are shown in Table 1.
Figure 4

Flowchart of the ACE (Akershus Cardiac Examination) 1950 study population.

Table 1

Baseline Characteristics of the Study Population

VariableTotal (n=3683)Men (n=1887)Women (n=1796)
Sex1005149
Hypertension626658
Hypercholesterolemia535155
Diabetes mellitus11147
Obesity232421
Waist–hip ratio0.92±0.100.97±0.070.85±0.08
Physical activity
Never564
Exercise ≥2 d/wk 625767
Higher education465042
Smoking
Daily smoker141415
Former464744
Never353337
History of coronary heart disease7122
History of cerebrovascular event45.02.5

Categorical variables are given as percentages, and normally distributed variables are given as mean±SD.

Flowchart of the ACE (Akershus Cardiac Examination) 1950 study population. Baseline Characteristics of the Study Population Categorical variables are given as percentages, and normally distributed variables are given as mean±SD. Atherosclerotic carotid plaques were present in 87% of the participants. The median plaque score was 2 (interquartile range: 3). The most frequent plaque localization was carotid bulb, present in 83% of the participants. Plaque was more often present in men than women (92% versus 83%, P<0.001). The prevalence of >50% carotid artery stenosis was 2.3% in the total cohort, with no significant sex differences (2.6% in men versus 1.9% in women, P=0.228). Ultrasound characteristics are shown in Table 2.
Table 2

Ultrasound Characteristics of the Study Population

Ultrasound MeasuresTotal (n=3683)Men (n=1887)Women (n=1796)
Mean cIMT right, mm0.72±0.120.73±0.130.70±0.11
Mean cIMT left, mm0.74±0.140.76±0.150.71±0.12
Plaque
Median plaque score, IQR2 (3)3 (2)2 (2)
Plaque score
012.7 (11.6–13.8)8.1 (6.9–9.4)17.5 (15.7–19.3)
1–360.7 (59.2–62.4)57.3 (55.1–59.6)64.4 (62.2–66.6)
4–621.2 (19.2–62.4)26.8 (24.6–28.9)15.2 (13.6–16.9)
7–94.4 (3.7–5.1)6.1 (5.1–7.3)2.6 (2.0–3.6)
≥101.0 (0.7–1.4)1.6 (1.1–2.3)0.3 (0.1–0.7)
Degree of stenosis
50–691.9 (1.5–2.4)2.0 (1.4–2.7)1.7 (1.2–2.4)
>700.2 (0.1–0.4)0.3 (0.1–0.6)0.2 (0.0–0.5)
Total occlusion 0.2 (0.1–0.4)0.3 (0.1–0.7)0.1 (0.0–0.3)

Categorical variables are given as percentages with 95% CI, and normally distributed variables are given as mean±SD. CI indicates confidence interval; cIMT, carotid intima–media thickness; IQR, interquartile range.

Ultrasound Characteristics of the Study Population Categorical variables are given as percentages with 95% CI, and normally distributed variables are given as mean±SD. CI indicates confidence interval; cIMT, carotid intima–media thickness; IQR, interquartile range. Increasing plaque scores were associated with increasing burden of traditional cardiovascular risk factors. An overview of the prevalence of cardiovascular risk factors in the different plaque categories is presented in Table 3. Participants with a plaque score in the fourth quarter (with a plaque score ≥4), compared with participants with scores in the first 3 quarters (with a plaque score <4), had a significantly higher prevalence of hypertension, hypercholesterolemia, diabetes mellitus, obesity, current smoking, CVD, and cerebrovascular disease. Furthermore, the proportion of high and very high 10‐year risk of fatal CVD according to SCORE was significantly higher in the fourth quarter compared with the first 3 quarters. In addition, these participants also had significantly lower prevalence of higher education and physical activity.
Table 3

Plaque Score in Groups in Relation to Cardiovascular Risk Factors

TotalPercentilesQuarters P Value
1025507590951–34
Plaque score012457<4≥4
Plaque score in groups 0123–456–70–3≥4
Mean cIMT (mm)0.73±0.110.68±0.100.71±0.100.72±0.110.74±0.110.77±0.120.80±0.120.71±0.100.78±0.12<0.001
Sex (female)48.867.258.052.840.433.628.954.433.3<0.001
Hypertension62.047.552.960.967.771.478.057.375.0<0.001
Hypercholesterolemia52.639.847.851.955.263.666.949.660.9<0.001
Diabetes mellitus10.46.67.78.812.713.316.79.014.2<0.001
Obesity 22.620.121.021.024.525.326.721.8250.047
Higher education46.353.048.148.743.242.938.448.340.7<0.001
Physical activity
Never5.02.42.55.45.28.59.64.17.5<0.001
Exercise ≥2 d/wk 61.866.065.061.661.558.952.263.756.5<0.001
Smoking
Daily14.46.67.512.615.824.533.110.325.6<0.001
Former45.844.344.944.648.546.944.145.746.20.82
Never34.945.042.837.930.224.517.639.523.5<0.001
History of coronary heart disease7.12.42.25.29.410.819.84.713.7<0.001
History of cerebrovascular event3.81.72.33.43.97.57.92.96.2<0.001
Score3.6±2.42.8±1.53.3±1.83.7±2.24.2±2.74.6±2.85.1±2.93.5±2.14.8±2.9<0.001
Low risk0.51.11.00.20.20.00.50.60.10.086
Moderate risk77.591.384.078.971.966.759.781.663.2<0.001
High risk19.67.114.418.824.828.333.516.431.5<0.001
Very high risk2.40.40.62.13.35.06.81.55.2<0.001

Categorical variables are given as percentages, and normally distributed variables are given as mean±SD. cIMT indicates carotid intima–media thickness.

Plaque Score in Groups in Relation to Cardiovascular Risk Factors Categorical variables are given as percentages, and normally distributed variables are given as mean±SD. cIMT indicates carotid intima–media thickness. The following variables were associated with higher plaque scores in both univariate and multivariate analysis: current smoking, hypertension, coronary heart disease, history of cerebrovascular disease, hypercholesterolemia, and physical inactivity. In contrast, female sex and higher education were associated with lower plaque scores (Table 4). The model explained 16% of the total variation of the plaque score (r²=0.16).
Table 4

Poisson Regression, Plaque Score in Relation to Cardiovascular Risk Factors and Lifestyle Variables

Univariate Exp(B)95% CI P ValueMultivariate Exp(B)95% CI P Value
Current smoking 1.741(1.643–1.845)<0.0011.512(1.436–1.591)<0.001
Sex (female)0.697(0.669–0.725)<0.0010.743(0.703–0.786)<0.001
Coronary heart disease1.667(1.565–1.775)<0.0011.323(1.237–1.237)<0.001
Hypertension1.386(1.328–1.447)<0.0011.300(1.243–1.359)<0.001
Cerebrovascular disease1.430(1.309–1.563)<0.0011.254(1.146–1.373)<0.001
Physical inactivity1.421(1.198–1.556)<0.0011.180(1.087–1.281)<0.001
Hypercholesterolemia1.251(1.201–1.301)<0.0011.144(1.096–1.195)<0.001
Education0.880(0.845–0.916)<0.0010.947(0.908–0.987)0.010
Waist–hip ratio5.559(4.516–6.843)<0.0011.175(0.863–1.599)0.305
Obesity1.083(1.034–1.135)0.0010.979(0.929‐ 1.032)0.453
Diabetes mellitus1.260(1.187–1.338)<0.0011.009(0.945–1.077)0.797

Univariate and multivariate analysis. Variables with P<0.1 were included in the multivariate analysis. CI indicates confidence interval.

Poisson Regression, Plaque Score in Relation to Cardiovascular Risk Factors and Lifestyle Variables Univariate and multivariate analysis. Variables with P<0.1 were included in the multivariate analysis. CI indicates confidence interval. Mean cIMT was 0.73±0.11 mm. In univariate analyses, male sex, diabetes mellitus, hypertension, current smoking, obesity, waist–hip ratio, coronary heart disease, and history of cerebrovascular disease were associated with cIMT. In multivariate analysis, in descending order of impact, only sex, cerebrovascular disease, hypertension, obesity, and current smoking were independently associated with cIMT (Table 5). The model explained only 5% of the total variation of cIMT (r²=0.05).
Table 5

cIMT in Relation to Cardiovascular Risk Factors and Lifestyle Variables

Univariate B95% CI P ValueMultivariate B95% CI P Value
Sex (female)−0.040(−0.048 to −0.033)<0.001−0.033(−0.043–0.02)<0.001
Hypertension0.027(0.019–0.034)<0.0010.020(0.013–0.028)<0.001
Obesity0.025(0.017–0.034)<0.0010.016(0.007–0.026)0.001
Current smoking0.007(0.004–0.010)<0.0010.013(0.003–0.023)0.013
Cerebrovascular disease0.034(0.011–0.039)<0.0010.023(0.005–0.042)0.015
Waist–hip ratio0.198(0.161–0.236)<0.0010.039(−0.015 to 0.093)0.154
Physical inactivity0.016(−0.001 to 0.033)0.0670.005(−0.012 to 0.021)0.595
Coronary heart disease0.025(0.011–0.039)0.0010.004(−0.010 to 0.018)0.657
Diabetes mellitus0.020(0.008–0.032)0.0010.000(−0.012 to 0.012)0.989
Education−0.002(−0.004 to 0.001)0.171
Hypercholesterolemia0.004(−0.003 to 0.012)0.256

Univariate and multivariate analysis. Variables with P<0.1 were included in the multivariate analysis. CI indicates confidence interval; cIMT, carotid intima–media thickness.

cIMT in Relation to Cardiovascular Risk Factors and Lifestyle Variables Univariate and multivariate analysis. Variables with P<0.1 were included in the multivariate analysis. CI indicates confidence interval; cIMT, carotid intima–media thickness.

Discussion

The early stages of carotid artery vessel pathology are highly visible in a general middle‐aged population: Carotid plaques were present in 9 of 10 participants aged 63 to 65 years in this population‐based study. Traditional cardiovascular risk factors were common in participants with plaque and were strongly associated with increasing plaque scores. To our knowledge, no other studies have reported such high prevalence of carotid plaques in a population of this age group. The plaque score, as a measure of plaque burden, was associated with increased prevalence of cardiovascular risk factors, as expected. In addition, plaque score was associated with a greater number of cardiovascular risk factors and with higher explained variance than cIMT, supporting the notion that atherosclerotic plaque is a more advanced stage of vascular disease. Mean cIMT was just below the 75th percentile of the proposed age‐ and sex‐specific reference interval for common cIMT in a general population.14 However, location, timing, and number of measurements, as well as the software algorithm, influence the cIMT results. This makes cIMT unsuitable for direct comparisons between studies and may explain higher cIMT values in our population, despite the cohort being rather healthy. Our findings reduce the value of cIMT in cardiovascular screening because almost all patients have detectable plaques. Plaque burden increases with age.15, 16, 17 In previous studies, the prevalence of carotid plaques has varied significantly,3, 18, 19, 20, 21, 22, 23, 24 ranging from 25% to 93%. In the present study, the definition of plaque was in accordance with the Mannheim Carotid Intima–Media Thickness and Plaque Consensus from 2004,11 in which cIMT ≥1.5 mm was considered as a plaque, whereas earlier studies used other definitions. In addition, the studies have included either older4, 21 or younger patients,3, 5, 23 men only,21 or examination of only 1 artery.5 Population‐based studies have shown a decrease in risk factors and cardiovascular mortality over past decades due to treatment of vascular risk in accordance with guidelines for primary prevention and improved acute treatments.25, 26 The amount of atherosclerosis largely depends on the underlying burden of cardiovascular risk factors, and the increase in cardiovascular risk factor control could, in theory, have resulted in less atherosclerosis. There is no reason to believe that the ACE 1950 study population has a higher vascular burden than other population studies. This is supported by a low rate of current smoking, a mean SCORE risk of 3.6%, and a high proportion of diagnosed and treated hypertension at study inclusion. Furthermore, the low prevalence of high‐grade stenosis in our study corresponds with previous studies,4, 15, 16, 27 suggesting a similar rather than a greater atherosclerotic burden. Despite this, our results showed the presence of plaque in 9 of 10 participants. The most reasonable explanations are the change in definition of plaque and improved ultrasonography techniques and image quality, as many previous population‐based studies of B‐mode ultrasound screening of carotid arteries were carried out >2 decades ago. Despite the fact that B‐mode ultrasound of the carotid arteries is effective for detecting early vascular changes, it is not used routinely in cardiovascular risk assessment. Use in clinical practice is complicated by lack of standardization regarding the definition and measurement of cIMT and its high variability, and recommended use of cIMT measurements was recently withdrawn from clinical guidelines.28 Furthermore, a meta‐analysis from 2012 concluded that the addition of cIMT measurements to the Framingham risk score was associated with a small and probably not clinically relevant improvement in risk prediction of first‐time myocardial infarction or stroke.29 Carotid plaque, however, compared with cIMT, has significantly higher prognostic accuracy in predicting future cardiovascular events and is recommended for risk assessment.28, 30 Increased plaque score in high‐risk populations predicts coronary lesions,31 and presence of plaque increases the risk of stroke ≈1.5‐fold, independent of plaque location.4 The same study reported a dose‐dependent association between carotid plaques and stroke risk.4 Our findings support the strong association between cardiovascular risk factors and degree of subclinical disease measured by plaque burden rather than cIMT. Consequently, we suggest that assessment of carotid plaque burden could be a useful tool in future cardiovascular screening and risk stratification, especially in populations with several risk factors, with the potential for improved risk control and primary CVD prevention. The ultrasound procedure used in the ACE 1950 study was feasible to perform and interpret. The methodology of setting scores was easy to apply and had excellent interrater reliability. It takes only a few minutes to perform the procedure, which is suitable for use in clinical practice and as a screening tool by trained physicians, unlike measuring total plaque area, which is time consuming and probably more operator dependent. Guidelines for primary prevention include risk assessment, and measure of plaque burden may be included. Nevertheless, it remains to determined whether a higher plaque score, as a measure of plaque burden, in asymptomatic individuals is associated with an increased risk of future cardiovascular events. Carotid plaque was more prevalent in men than in women, corresponding with other studies.17, 32 It is well documented that women in the reproductive age group are protected from developing coronary heart disease compared with men of similar age.33 The effect is independent of cardiovascular risk factors and may be due to differences in vascular biology, including endothelial function, the production of nitric oxide,34 and protective properties of estrogen.33 Historically, men have had higher smoking consumption,35 but this was not the case in the ACE 1950 cohort; however, hypertension, obesity, and diabetes mellitus were significantly more prevalent in men.

Strengths and Limitations

Self‐reported information regarding lifestyle variables and medical history such as history of stroke and CVD are associated with some uncertainties. Furthermore, nonresponder bias must be taken into account; however, a response rate of 64% is considered respectable in population‐based studies and is in line with other Norwegian population‐based studies,36, 37 especially considering that most participants had full‐time jobs and had to take a day off to participate. Furthermore, the lowest response rate was found in the municipalities located farthest away from the 2 centers. The strengths of this study are the large number of participants, trained investigators, and examination of the carotid artery on both sides. Demographically, the population is considered to represent a cross‐section of the Norwegian population.

Conclusion

Carotid plaque was found in 87% of this cohort aged 63 to 65 years from the general population. Plaque burden showed greater association with traditional risk factors than cIMT. Future studies are needed to investigate the predictive ability of the plaque score for incident CVD.

Sources of Funding

The ACE (Akershus Cardiac Examination) 1950 study is funded by 2 health trusts (Akershus University Hospital HF and Vestre Viken HF), as well as by the South‐Eastern Norway Regional Health Authority, the University of Oslo, and the Norwegian Health Association. The funding sources had no role in study concept or design; acquisition, analysis, or interpretation of data; or preparation of the article. The first author received a PhD scholarship from the nongovernmental patient organization Norwegian Health Association.

Disclosures

None.
  36 in total

1.  Repeated visual and computer-assisted carotid plaque characterization in a longitudinal population-based ultrasound study: the Tromsø study.

Authors:  Einar Fosse; Stein Harald Johnsen; Eva Stensland-Bugge; Oddmund Joakimsen; Ellisiv B Mathiesen; Egil Arnesen; Inger Njølstad
Journal:  Ultrasound Med Biol       Date:  2006-01       Impact factor: 2.998

Review 2.  Women and tobacco: moving from policy to action.

Authors:  V Ernster; N Kaufman; M Nichter; J Samet; S Y Yoon
Journal:  Bull World Health Organ       Date:  2000       Impact factor: 9.408

Review 3.  Gender-Related Differences in Atherosclerosis.

Authors:  Pankaj Mathur; Bohuslav Ostadal; Francesco Romeo; Jawahar L Mehta
Journal:  Cardiovasc Drugs Ther       Date:  2015-08       Impact factor: 3.727

Review 4.  Mannheim intima-media thickness consensus.

Authors:  P-J Touboul; M G Hennerici; S Meairs; H Adams; P Amarenco; M Desvarieux; S Ebrahim; M Fatar; R Hernandez Hernandez; S Kownator; P Prati; T Rundek; A Taylor; N Bornstein; L Csiba; E Vicaut; K S Woo; F Zannad
Journal:  Cerebrovasc Dis       Date:  2004-11-02       Impact factor: 2.762

Review 5.  The Hordaland Homocysteine Study: a community-based study of homocysteine, its determinants, and associations with disease.

Authors:  Helga Refsum; Eha Nurk; A David Smith; Per M Ueland; Clara G Gjesdal; Ingvar Bjelland; Aage Tverdal; Grethe S Tell; Ottar Nygård; Stein E Vollset
Journal:  J Nutr       Date:  2006-06       Impact factor: 4.798

Review 6.  Carotid plaque compared with intima-media thickness as a predictor of coronary and cerebrovascular disease.

Authors:  Stein Harald Johnsen; Ellisiv B Mathiesen
Journal:  Curr Cardiol Rep       Date:  2009-01       Impact factor: 2.931

7.  B-mode-detected carotid artery plaque in a general population. Atherosclerosis Risk in Communities (ARIC) Study Investigators.

Authors:  R Li; B B Duncan; P A Metcalf; J R Crouse; A R Sharrett; H A Tyroler; R Barnes; G Heiss
Journal:  Stroke       Date:  1994-12       Impact factor: 7.914

8.  Heart and Brain Interactions--the Akershus Cardiac Examination (ACE) 1950 Study Design.

Authors:  Trygve Berge; Thea Vigen; Mohammad Osman Pervez; Haakon Ihle-Hansen; Magnus Nakrem Lyngbakken; Torbjørn Omland; Pål Smith; Kjetil Steine; Helge Røsjø; Arnljot Tveit
Journal:  Scand Cardiovasc J       Date:  2015-09-12       Impact factor: 1.589

9.  Gender differences in atherosclerosis: possible role of nitric oxide.

Authors:  T Hayashi; J M Fukuto; L J Ignarro; G Chaudhuri
Journal:  J Cardiovasc Pharmacol       Date:  1995-11       Impact factor: 3.105

10.  Reference intervals for common carotid intima-media thickness measured with echotracking: relation with risk factors.

Authors:  Lian Engelen; Isabel Ferreira; Coen D Stehouwer; Pierre Boutouyrie; Stéphane Laurent
Journal:  Eur Heart J       Date:  2012-11-27       Impact factor: 29.983

View more
  7 in total

1.  Gender differences in the risk factors associated with atherosclerosis by carotid intima-media thickness, plaque score, and pulse wave velocity.

Authors:  Satoko Ojima; Takuro Kubozono; Shin Kawasoe; Takeko Kawabata; Hironori Miyahara; Koichi Tokushige; Mitsuru Ohishi
Journal:  Heart Vessels       Date:  2021-01-25       Impact factor: 2.037

2.  Essen Stroke Risk Score Predicts Carotid Atherosclerosis in Chinese Community Populations.

Authors:  Zhi-Xin Huang; Li-Hua Chen; Ran Xiong; Yan-Ni He; Zhu Zhang; Jie Zeng; Qiankun Cai; Zhenguo Liu
Journal:  Risk Manag Healthc Policy       Date:  2020-10-13

3.  Segment-specific association of carotid-intima-media thickness with cardiovascular risk factors - findings from the STAAB cohort study.

Authors:  Lara Müller-Scholden; Jan Kirchhof; Caroline Morbach; Margret Breunig; Rudy Meijer; Viktoria Rücker; Theresa Tiffe; Tino Yurdadogan; Martin Wagner; Götz Gelbrich; Michiel L Bots; Stefan Störk; Peter U Heuschmann
Journal:  BMC Cardiovasc Disord       Date:  2019-04-04       Impact factor: 2.298

4.  Plasma Trans Fatty Acid Levels, Cardiovascular Risk Factors and Lifestyle: Results from the Akershus Cardiac Examination 1950 Study.

Authors:  Anupam Chandra; Magnus Nakrem Lyngbakken; Ivar Anders Eide; Helge Røsjø; Thea Vigen; Håkon Ihle-Hansen; Eivind Bjørkan Orstad; Ole Morten Rønning; Trygve Berge; Erik Berg Schmidt; Arnljot Tveit; Torbjørn Omland; My Svensson
Journal:  Nutrients       Date:  2020-05-14       Impact factor: 5.717

5.  Ankle-Brachial Index and Cardio-Ankle Vascular Index as Predictors of Cognitive Decline Over Time After Carotid Endarterectomy.

Authors:  Yuichiro Miyamatsu; Akira Nakamizo; Toshiyuki Amano; Satoshi Matsuo; Takahiro Kuwashiro; Masahiro Yasaka; Yasushi Okada; Masahiro Mizoguchi; Koji Yoshimoto
Journal:  Cureus       Date:  2022-07-03

6.  Relationship between lipoprotein (a) and subclinical carotid atherosclerosis in asymptomatic individuals.

Authors:  Victor França; Érica Ivana Lázaro Gomes; Edite Vieira Silva de Campos; Vanessa Helena de Souza Zago; Valéria Sutti Nunes; Eliana Cotta de Faria
Journal:  Clinics (Sao Paulo)       Date:  2022-09-27       Impact factor: 2.898

7.  Association between multi-site atherosclerotic plaques and systemic arteriosclerosis: results from the BEST study (Beijing Vascular Disease Patients Evaluation Study).

Authors:  Huan Liu; Jinbo Liu; Wei Huang; Hongwei Zhao; Na Zhao; Hongyu Wang
Journal:  Cardiovasc Ultrasound       Date:  2020-08-01       Impact factor: 2.062

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.