OBJECTIVE

The presence of carotid plaques is associated with future cardiovascular events, with local plaque composition being an independent outcome predictor. We examined the association between ultrasonographically determined carotid plaque calcification and incident major adverse cardiovascular events (MACE) and death in type 2 diabetes (T2D).

RESEARCH DESIGN AND METHODS

We enrolled 581 patients with T2D who underwent routine carotid ultrasonography. Plaques were classified as echolucent (lipid rich), heterogenous, and echogenic (calcific). We collected demographic, anthropometric, and clinical data at baseline and followed the patients for up to 9 years.

RESULTS

Plaques were detected in 81.8% of the patients (echolucent in 16.4%, heterogenous in 43.2%, and echogenic in 22.2%). During follow-up (4.3 ± 0.1 years), 58 deaths (27 cardiovascular) and 236 fatal and nonfatal MACE occurred. In univariate analyses, presence versus absence of any carotid plaque was associated with incident MACE, and the hazard ratio (95% CI) progressively increased from echolucent (1.97 [0.93–3.44]), to heterogeneous (3.10 [2.09–4.23]), to echogenic (3.71 [2.09–5.59]) plaques. Compared with echolucent plaques, echogenic plaques were associated with incident MACE independently from confounders. This association was attenuated after adjusting for the degree of stenosis, but in patients with stenosis ≤30%, echogenic plaque type still predicted total and atherosclerotic MACE, even after further adjusting for mean intima-media thickness.

CONCLUSIONS

In T2D, carotid plaque calcification predicts MACE, especially in patients with a low degree of stenosis. The biology of atherosclerotic calcification in diabetes needs to be further elucidated to understand the basis of this association.

Atherosclerosis is a common complication of diabetes, driving severe morbidity and mortality. Atherosclerotic plaques are complex structures with multiple tissues and cell types that differentially contribute to lesion vulnerability (1). In population-based longitudinal studies, atherosclerotic plaque characteristics have been shown to predict atherosclerosis progression at a systemic level, being associated with incident cardio- and cerebrovascular events (27). Based on ultrasonographic plaque characterization, echolucent (lipid-rich) plaques seem to be a better predictor of stroke and cardiovascular events than echogenic or echorich plaques containing calcified areas (811), although an independent association between echogenic plaques and cardiovascular events has also been demonstrated in the general population (4,1214). In patients with diabetes, the prevalence of carotid plaques is increased (15). Diabetes traditionally is associated with vascular calcification (16), but there seem to be no gross differences in histological plaque composition compared with the nondiabetic condition (17,18). Most studies specifically in patients with diabetes have suggested that a higher cardiovascular risk is associated with the presence of echolucent plaques (1921) rather than echogenic ones (22). Using tissue characterization of carotid plaques by the grayscale median (GSM) in a small cohort of patients with type 2 diabetes (T2D), Irie et al. (21) demonstrated that echolucent plaques can improve risk prediction of cardiovascular events. On the other hand, the Diabetes Heart Study (22) showed that multibed artery calcifications detected by computed tomography imaging significantly improves the prediction of cardiovascular outcomes, lending support to the notion that atherosclerotic calcification can be harmful.

We have previously demonstrated a significant association between microangiopathy and composition of carotid plaques in a wide cohort of patients with T2D (23). In this article, we report the follow-up (up to 9 years) examination of the same cohort to evaluate prospectively whether the ultrasonographic characteristics of carotid plaques predict cardiovascular outcomes.

Study Population and Baseline Data

The study was approved by the local institution and ethics committee of the University Hospital of Padova. Recruitment and baseline clinical evaluation data were collected between January 2004 and December 2007 and have been described previously (23). Briefly, all consecutive subjects with T2D who underwent a screening or diagnostic carotid ultrasonography examination at the diabetic outpatient clinics of the University Hospital of Padova and Montebelluna Hospital were enrolled. At baseline, the following data were collected: anthropometric parameters; smoking status; presence/absence of hypertension, dyslipidemia, and coronary heart disease; history of ischemic stroke and lower-limb amputation; pharmacological treatment; biochemical measures (lipid profile, HbA1c, urinary albumin excretion); and retinal fundus examination. The presence of carotid plaques, respective degree of stenosis, and ultrasonographic tissue characteristics were recorded. On the basis of the GSM on ultrasound examination, plaques were classified as echolucent (low GSM, lipid rich), echogenic (high GSM, mostly occupied by calcified areas), and heterogeneous (mixed echolucent and echogenic) as previously described in the Tromsø Study (9). This classification has been validated against histopathology (24). The mean of left- and right-side carotid intima-media thickness (IMT) at 1 cm from the bifurcation was also measured in plaque-free areas and recorded as recommended by the Mannheim consensus (25).

Follow-up and Definition of Events

The follow-up data collection was performed between January 2012 and August 2012 from electronic health records of the Veneto region in Italy between the baseline examination and the last follow-up visit. We recorded vital status, eventual causes of death, and occurrence of cardiovascular events. Major adverse cardiovascular events (MACE) were defined as cardiovascular death, angina, ST-segment elevation myocardial infarction (STEMI)/non-STEMI, coronary revascularization, heart failure, atrial fibrillation, pulmonary embolism, pacemaker implantation, ischemic stroke, transient ischemic attack, carotid revascularization, lower-limb amputation, peripheral ischemic wound, peripheral revascularization, and hospital admission for cardiovascular causes. Atherosclerotic MACE were defined as angina, STEMI/non-STEMI, coronary revascularization, ischemic stroke, transient ischemic attack, carotid revascularization, lower-limb amputation, peripheral ischemic wound, and peripheral revascularization. Causes of death were classified as due to cardiovascular disease, malignancy, diabetes, infectious disease, trauma, and unknown and were retrieved by the national Registry office codes.

Statistical Analysis

Continuous variables are expressed as mean ± SE and categorical variables as percentages. Nonnormal variables of the Kolmogorov-Smirnov test were log-transformed before analysis. Comparisons of continuous data between two or more groups were performed with Student t test and ANOVA, respectively, and χ2 test was used to compare categorical data. The least significant different post hoc test was applied. To determine the association between carotid plaque type and future MACE, univariate analyses and then multivariate Cox proportional hazards regression models were run, entering total/atherosclerotic MACE occurrence as the dependent variable and explanatory covariates chosen among those showing significant (post hoc P < 0.05) associations in the univariate group analysis. Crude incidence rate (or density) was calculated as the number of events divided by the number of person-years observed. Risk estimates were derived from multivariable regression models. Various models were built based on degrees of adjustment. Statistical significance was accepted at P < 0.05, and SPSS version 22 statistical software was used for all analyses.

Characteristics of the Study Population

A total of 581 patients of the previously studied cohort of 662 were included in the follow-up analysis (88%), whereas 81 were lost to follow-up. There was no significant difference between patients lost to follow-up and those included in the analysis. Clinical characteristics of the study subjects at baseline are summarized in Table 1.

Table 1

Baseline clinical characteristics of the study population

Divided according to the outcome
Divided according to plaque composition
AllNo incident MACEIncident MACEP valueNo plaqueEcholucent plaqueHeterogeneous plaqueEchogenic plaqueP value
No. patients (%) 581 (100) 345 (59) 236 (41) — 106 (18.2) 95 (16.4) 251 (43.2) 129 (22.2) — 
Male sex 332 (57) 188 (54) 144 (61) 0.119 51 (48) 56 (59) 150 (60) 75 (58) 0.221 
Age (years) 66 ± 0.4 65 ± 0.5 69 ± 0.5 <0.0001 63 ± 0.9 64 ± 0.9 67 ± 0.5*§ 69 ± 0.6*§ <0.0001 
BMI (kg/m229.3 ± 0.2 29.1 ± 0.2 29.5 ± 0.3 0.350 29.0 ± 0.5 28.8 ± 0.4 29.4 ± 0.3 29.6 ± 0.4 0.536 
Diabetes duration (years) 12.6 ± 0.4 11.6 ± 0.5 13.9 ± 0.6 0.004 12.2 ± 0.9 11.0 ± 0.9 12.6 ± 0.6 13.9 ± 0.9 0.144 
HbA1c (%) 7.7 ± 0.1 7.6 ± 0.1 7.9 ± 0.1 0.031 7.9 ± 0.1 7.9 ± 0.2 7.6 ± 0.1 7.7 ± 0.1 0.394 
HbA1c (mmol/mol) 61 ± 0.8 60 ± 0.8 63 ± 0.8 63 ± 0.8 63 ± 1.5 60 ± 0.8 61 ± 0.8 
Risk factors          
 Total cholesterol (mg/dL) 190 ± 1.5 192 ± 1.9 187 ± 2.4 0.119 188 ± 3.5 190 ± 3.6 191 ± 2.3 192 ± 3.2 0.878 
 HDL cholesterol (mg/dL) 55 ± 0.7 56 ± 0.8 54 ± 0.9 0.047 56 ± 1.6 53 ± 1.5 54 ± 0.8 57 ± 1.5 0.107 
 LDL cholesterol (mg/dL) 109 ± 1.3 111 ± 1.7 106 ± 1.9 0.074 107 ± 2.9 112 ± 3.1 109 ± 1.9 108 ± 2.9 0.705 
 Non-HDL (mg/dL) 136 ± 1.5 138 ± 1.9 135 ± 2.4 0.359 134 ± 3.4 137 ± 3.4 137 ± 2.2 138 ± 3.4 0.889 
 Triglycerides (mg/dL) 137 ± 3.6 133 ± 4.1 144 ± 6.5 0.135 131 ± 7.3 132 ± 7.7 142 ± 5.4 136 ± 9.8 0.634 
 Active smoking 73 (12.6) 51 (15) 22 (9) 0.051 34 (32) 31 (33) 101 (40) 57 (44) 0.151 
 Obesity 223 (38) 127 (37) 96 (41) 0.347 14 (13.2) 13 (13.7) 31 (12.4) 15 (11.6) 0.967 
 Hypertension 474 (82) 265 (77) 209 (88.5) <0.0001 72 (68) 70 (74) 211 (84)*§ 121 (94)*§# <0.0001 
 Dyslipidemia 454 (78) 269 (78) 185 (78) 0.905 67 (63) 80 (84)* 208 (83)* 99 (77)* <0.0001 
Macroangiopathy 139 (24) 57 (16.5) 82 (35) <0.0001 14 (13.2) 16 (16.8) 68 (27.1)*§ 41 (31.8)*§ 0.002 
 CAD history 106 (18) 45 (13) 61 (26) <0.0001 14 (13.2) 11 (11.6) 50 (19.9) 24 (24.0)*§ 0.046 
 AMI history 79 (14) 35 (10) 44 (19) 0.003 9 (8.5) 10 (10.5) 42 (16.7) 18 (13.9) 0.156 
 Ischemic stroke history 20 (3) 7 (2) 13 (6) 0.038 2 (2.1) 13 (5.2) 5 (3.9) 0.084 
 PAD history 36 (6) 12 (3.5) 24 (10) 0.003 2 (2.1) 20 (7.9)*§ 14 (10.9)*§ 0.001 
 Carotid plaque 475 (82) 263 (76) 212 (90) <0.0001 — — — — — 
 Max carotid stenosis 24.7 ± 0.7 20.4 ± 0.8 31.1 ± 1.1 <0.0001 23.1 ± 1.5* 30.8 ± 0.8*§ 34.5 ± 1.9*§# <0.0001 
 Mean IMT (mm) 0.86 ± 0.01 0.86 ± 0.01 0.86 ± 0.02 0.810 0.79 ± 0.01 0.95 ± 0.02* 0.86 ± 0.02*§ 0.85 ± 0.03§ 0.003 
Microangiopathy 256 (44) 139 (40) 117 (50) 0.029 29 (27.6) 41 (43.2)* 122 (48.6)* 64 (49.6)* 0.002 
 Retinopathy 160 (28) 91 (27) 69 (29) 0.462 18 (17.1) 25 (26.3) 76 (30.3)* 41 (31.8)* 0.049 
 Nephropathy 163 (28) 77 (22.5) 86 (37) <0.0001 18 (17.1) 23 (24.5) 78 (31.1)* 44 (34.4)* 0.015 
Medications          
 OAD 344 (59) 212 (61) 132 (60) 0.184 70 (66.0) 62 (65.3) 145 (57.8) 67 (51.9) 0.364 
 Insulin 92 (16) 43 (12.5) 49 (21) 0.007 18 (16.9) 7 (7.3) 40 (15.9) 27 (20.9) 0.052 
 Insulin + OAD 75 (13) 36 (10) 39 (16.5) 0.032 6 (5.7) 9 (9.5) 40 (15.9)* 20 (15.5)* 0.032 
 Diet 70 (12.0) 54 (18) 16 (7) 0.001 12 (11.3) 17 (17.9) 26 (10.4) 15 (11.6) 0.283 
 Antihypertensive drug 454 (78) 252 (73) 202 (86) <0.0001 72 (67.9) 67 (70.5) 200 (79.7)* 115 (89.2)*§# <0.0001 
 Lipid-lowering drug 269 (48) 153 (46) 116 (50) 0.327 34 (34.0) 45 (47.9) 127 (52.0)* 63 (51.2)* 0.019 
 Antiplatelet drug 280 (49) 135 (40) 145 (62) <0.0001 51 (32.0) 34 (36.2)# 135 (54.2)* 79 (62.7)*§# <0.0001 
Follow-up data          
 Person-year follow-up 24,840.1 1,796.3 687.8 — 591.0 420.6 966.6 506.0 — 
 Incident MACE 236 (40.6) 0 (0) 236 (100) <0.0001 24 (22.6) 29 (30.5) 116 (46.2)*§ 67 (51.9)*§ <0.0001 
 Incidence density (%) 9.5 0.0 34.3 <0.0001 4.1 6.9 12.0*§ 13.2*§ <0.0001 
Divided according to the outcome
Divided according to plaque composition
AllNo incident MACEIncident MACEP valueNo plaqueEcholucent plaqueHeterogeneous plaqueEchogenic plaqueP value
No. patients (%) 581 (100) 345 (59) 236 (41) — 106 (18.2) 95 (16.4) 251 (43.2) 129 (22.2) — 
Male sex 332 (57) 188 (54) 144 (61) 0.119 51 (48) 56 (59) 150 (60) 75 (58) 0.221 
Age (years) 66 ± 0.4 65 ± 0.5 69 ± 0.5 <0.0001 63 ± 0.9 64 ± 0.9 67 ± 0.5*§ 69 ± 0.6*§ <0.0001 
BMI (kg/m229.3 ± 0.2 29.1 ± 0.2 29.5 ± 0.3 0.350 29.0 ± 0.5 28.8 ± 0.4 29.4 ± 0.3 29.6 ± 0.4 0.536 
Diabetes duration (years) 12.6 ± 0.4 11.6 ± 0.5 13.9 ± 0.6 0.004 12.2 ± 0.9 11.0 ± 0.9 12.6 ± 0.6 13.9 ± 0.9 0.144 
HbA1c (%) 7.7 ± 0.1 7.6 ± 0.1 7.9 ± 0.1 0.031 7.9 ± 0.1 7.9 ± 0.2 7.6 ± 0.1 7.7 ± 0.1 0.394 
HbA1c (mmol/mol) 61 ± 0.8 60 ± 0.8 63 ± 0.8 63 ± 0.8 63 ± 1.5 60 ± 0.8 61 ± 0.8 
Risk factors          
 Total cholesterol (mg/dL) 190 ± 1.5 192 ± 1.9 187 ± 2.4 0.119 188 ± 3.5 190 ± 3.6 191 ± 2.3 192 ± 3.2 0.878 
 HDL cholesterol (mg/dL) 55 ± 0.7 56 ± 0.8 54 ± 0.9 0.047 56 ± 1.6 53 ± 1.5 54 ± 0.8 57 ± 1.5 0.107 
 LDL cholesterol (mg/dL) 109 ± 1.3 111 ± 1.7 106 ± 1.9 0.074 107 ± 2.9 112 ± 3.1 109 ± 1.9 108 ± 2.9 0.705 
 Non-HDL (mg/dL) 136 ± 1.5 138 ± 1.9 135 ± 2.4 0.359 134 ± 3.4 137 ± 3.4 137 ± 2.2 138 ± 3.4 0.889 
 Triglycerides (mg/dL) 137 ± 3.6 133 ± 4.1 144 ± 6.5 0.135 131 ± 7.3 132 ± 7.7 142 ± 5.4 136 ± 9.8 0.634 
 Active smoking 73 (12.6) 51 (15) 22 (9) 0.051 34 (32) 31 (33) 101 (40) 57 (44) 0.151 
 Obesity 223 (38) 127 (37) 96 (41) 0.347 14 (13.2) 13 (13.7) 31 (12.4) 15 (11.6) 0.967 
 Hypertension 474 (82) 265 (77) 209 (88.5) <0.0001 72 (68) 70 (74) 211 (84)*§ 121 (94)*§# <0.0001 
 Dyslipidemia 454 (78) 269 (78) 185 (78) 0.905 67 (63) 80 (84)* 208 (83)* 99 (77)* <0.0001 
Macroangiopathy 139 (24) 57 (16.5) 82 (35) <0.0001 14 (13.2) 16 (16.8) 68 (27.1)*§ 41 (31.8)*§ 0.002 
 CAD history 106 (18) 45 (13) 61 (26) <0.0001 14 (13.2) 11 (11.6) 50 (19.9) 24 (24.0)*§ 0.046 
 AMI history 79 (14) 35 (10) 44 (19) 0.003 9 (8.5) 10 (10.5) 42 (16.7) 18 (13.9) 0.156 
 Ischemic stroke history 20 (3) 7 (2) 13 (6) 0.038 2 (2.1) 13 (5.2) 5 (3.9) 0.084 
 PAD history 36 (6) 12 (3.5) 24 (10) 0.003 2 (2.1) 20 (7.9)*§ 14 (10.9)*§ 0.001 
 Carotid plaque 475 (82) 263 (76) 212 (90) <0.0001 — — — — — 
 Max carotid stenosis 24.7 ± 0.7 20.4 ± 0.8 31.1 ± 1.1 <0.0001 23.1 ± 1.5* 30.8 ± 0.8*§ 34.5 ± 1.9*§# <0.0001 
 Mean IMT (mm) 0.86 ± 0.01 0.86 ± 0.01 0.86 ± 0.02 0.810 0.79 ± 0.01 0.95 ± 0.02* 0.86 ± 0.02*§ 0.85 ± 0.03§ 0.003 
Microangiopathy 256 (44) 139 (40) 117 (50) 0.029 29 (27.6) 41 (43.2)* 122 (48.6)* 64 (49.6)* 0.002 
 Retinopathy 160 (28) 91 (27) 69 (29) 0.462 18 (17.1) 25 (26.3) 76 (30.3)* 41 (31.8)* 0.049 
 Nephropathy 163 (28) 77 (22.5) 86 (37) <0.0001 18 (17.1) 23 (24.5) 78 (31.1)* 44 (34.4)* 0.015 
Medications          
 OAD 344 (59) 212 (61) 132 (60) 0.184 70 (66.0) 62 (65.3) 145 (57.8) 67 (51.9) 0.364 
 Insulin 92 (16) 43 (12.5) 49 (21) 0.007 18 (16.9) 7 (7.3) 40 (15.9) 27 (20.9) 0.052 
 Insulin + OAD 75 (13) 36 (10) 39 (16.5) 0.032 6 (5.7) 9 (9.5) 40 (15.9)* 20 (15.5)* 0.032 
 Diet 70 (12.0) 54 (18) 16 (7) 0.001 12 (11.3) 17 (17.9) 26 (10.4) 15 (11.6) 0.283 
 Antihypertensive drug 454 (78) 252 (73) 202 (86) <0.0001 72 (67.9) 67 (70.5) 200 (79.7)* 115 (89.2)*§# <0.0001 
 Lipid-lowering drug 269 (48) 153 (46) 116 (50) 0.327 34 (34.0) 45 (47.9) 127 (52.0)* 63 (51.2)* 0.019 
 Antiplatelet drug 280 (49) 135 (40) 145 (62) <0.0001 51 (32.0) 34 (36.2)# 135 (54.2)* 79 (62.7)*§# <0.0001 
Follow-up data          
 Person-year follow-up 24,840.1 1,796.3 687.8 — 591.0 420.6 966.6 506.0 — 
 Incident MACE 236 (40.6) 0 (0) 236 (100) <0.0001 24 (22.6) 29 (30.5) 116 (46.2)*§ 67 (51.9)*§ <0.0001 
 Incidence density (%) 9.5 0.0 34.3 <0.0001 4.1 6.9 12.0*§ 13.2*§ <0.0001 

Data are mean ± SEM or n (%) unless otherwise indicated. Subjects were divided based on the outcome (presence or absence of incident MACE during follow-up) or on the composition of carotid plaques. In the across-group comparison of patients divided according to plaque composition, ANOVA P values and post hoc least significant differences are shown. Obesity, BMI ≥30 kg/m2; hypertension, >130/85 mmHg and/or antihypertensive treatment; and dyslipidemia, LDL cholesterol >100 mg/dL and/or triglycerides >150 mg/dL and/or hypolipidemic treatment. AMI, acute myocardial infarction; CAD, coronary artery disease; OAD, oral antidiabetic drug; max, maximal; PAD, peripheral artery disease.

*P < 0.05 vs. no plaque.

§P < 0.05 vs. echolucent plaque.

#P < 0.05 vs. heterogeneous plaque.

Follow-up and Incident Adverse Events

The mean duration of follow-up was 4.3 ± 0.1 years (median 4.4 [interquartile range 2.5–6.1] years). At the end of observation, 523 patients (89.8%) were alive. Table 2 summarizes cardiovascular outcomes and causes of deaths (n = 58), the prevailing being cardiovascular (n = 27 [46.6%]). MACE, including cardiovascular death, nonfatal acute myocardial infarction, stroke, transient ischemic attack, new-onset peripheral artery disease or ischemic lower-limb amputation, coronary and peripheral artery revascularization, unstable angina, heart failure, arrhythmias, and pulmonary thromboembolism, occurred in 236 (40.6%) patients (crude annual rate 9.5%), 205 of whom had fatal or nonfatal atherosclerotic MACE. Table 1 reports clinical characteristics in patients according to the occurrence or nonoccurrence of MACE during follow-up. Patients with incident MACE were older and had longer diabetes duration; higher HbA1c; lower HDL cholesterol; higher prevalence of hypertension, macroangiopathy, and microangiopathy; and more intense antidiabetic and cardiovascular drug therapy.

Table 2

Main causes of death based on medical or Registry office documentation

OutcomeValue
Deaths 58 (10.2) 
 Cardiovascular disease 27 
 Cancer 17 
 Diabetes  
 Trauma 
 Infectious disease 
 Unknown 
All events + CV death (MACE) 236 (40.6) 
 Fatal and nonfatal atherosclerotic MACE 205 (35.3) 
 Fatal and nonfatal AMI 23 (4.0) 
 Nonfatal stroke + AMI 36 (6.2) 
 Fatal and nonfatal stroke + AMI 52 (9) 
 Fatal and nonfatal stroke 10 (1.7) 
 TIA 13 (2.2) 
 PAD 62 (10.7) 
 Revascularization 9 (1.5) 
OutcomeValue
Deaths 58 (10.2) 
 Cardiovascular disease 27 
 Cancer 17 
 Diabetes  
 Trauma 
 Infectious disease 
 Unknown 
All events + CV death (MACE) 236 (40.6) 
 Fatal and nonfatal atherosclerotic MACE 205 (35.3) 
 Fatal and nonfatal AMI 23 (4.0) 
 Nonfatal stroke + AMI 36 (6.2) 
 Fatal and nonfatal stroke + AMI 52 (9) 
 Fatal and nonfatal stroke 10 (1.7) 
 TIA 13 (2.2) 
 PAD 62 (10.7) 
 Revascularization 9 (1.5) 

Data are n (%) or n. AMI, acute myocardial infarction; CV, cardiovascular; PAD, peripheral artery disease; TIA, transient ischemic attack.

Clinical Characteristics Associated With Plaque Composition

Table 1 also shows the clinical characteristics of patients according to the presence and composition of carotid atherosclerotic plaques. As determined by ultrasound, carotid plaques were categorized as echolucent (lipid rich [n = 95]), heterogeneous (partially calcific [n = 251]), and echogenic (predominantly calcific [n = 129]). Age, prevalence of hypertension, dyslipidemia, macroangiopathy, microangiopathy, and intensity of antidiabetic and other cardiovascular drug therapies were significantly different among these patient groups and in paired comparisons across types of carotid plaques.

Ultrasonographic Calcific Plaque Composition Predicts Incident MACE

Upon univariate Cox proportional hazards analysis, presence versus absence of any carotid plaque was associated with incident MACE (not shown). Although the hazard ratio (HR) associated with echolucent plaques was not significant (1.97 [95% CI 0.93–3.44]), there was a clear trend for progressively higher risk in heterogeneous (3.10 [2.09–4.23]) and echogenic (3.71 [2.09–5.59]) (Fig. 1A) plaques. Quite similar data were obtained for atherosclerotic MACE (Fig. 1B), although the CIs were larger because of a smaller number of events. We therefore examined whether plaque composition was predictive of incident MACE in Cox proportional hazards models adjusted for confounders derived from univariate analyses of the variables in Table 1. Considering patients without plaques as the reference group, only in patients with heterogeneous and echogenic plaques was the HR for total (Fig. 1C) and atherosclerotic (Fig. 1D) MACE significantly increased, and a trend for a linear increase in HR with plaque calcification was detected. Among patients with carotid plaques, the presence of an echogenic versus an echolucent (reference) plaque was significantly associated with incident MACE independently from confounders derived from univariate analyses (Table 3, model 1). When this was corrected for the maximal degree of stenosis, calcific plaque types were not predictive of incident events likely because stenosis severity outperformed type of plaque in terms of predictive power (Table 3, model 2). However, when the analysis was restricted to patients with a maximal degree of stenosis ≤30% (n = 279), patients with echogenic plaques had significantly higher HR of MACE compared with those with echolucent plaques after full adjustment (Table 3, model 3). Quite similar results were detected when the outcome was restricted to atherosclerotic MACE. Kaplan-Meier curves for total and atherosclerotic MACE showed similar event-free survival in patients with heterogeneous and echogenic plaques (Fig. 2A and B), allowing the two plaque types to be combined. In fact, a calcific plaque type (heterogeneous and echogenic combined vs. echolucent) was predictive of incident total or atherosclerotic MACE after fully adjusting for confounding factors (Table 3, model 4). When models 3 and 4 were further adjusted for maximal carotid IMT, results did not significantly change, and a calcific plaque type was still associated with incident total or atherosclerotic MACE (Table 3, model 5). Sex was not associated with the outcome (Table 1), and forcing sex into the models did not significantly change results (data not shown).

Figure 1

Association between carotid plaque type and incident MACE. HRs with 95% CI for total MACE (A) and atherosclerotic MACE (B) according to plaque presence and type were derived from univariate Cox proportional hazards regression models. HRs with 95% CIs for total MACE (C) and atherosclerotic MACE (D) according to plaque presence and type were also derived from multivariate Cox proportional hazards regression models, adjusted for variables listed in Table 3, model 1. The dashed line indicates 1.0. *P < 0.05 vs. no plaque.

Figure 1

Association between carotid plaque type and incident MACE. HRs with 95% CI for total MACE (A) and atherosclerotic MACE (B) according to plaque presence and type were derived from univariate Cox proportional hazards regression models. HRs with 95% CIs for total MACE (C) and atherosclerotic MACE (D) according to plaque presence and type were also derived from multivariate Cox proportional hazards regression models, adjusted for variables listed in Table 3, model 1. The dashed line indicates 1.0. *P < 0.05 vs. no plaque.

Close modal
Table 3

Association between carotid plaque composition and incident MACE in various adjusted models of Cox proportional hazards multivariable regression analyses

All MACE
Atherosclerotic MACE
HR (95% CI)P valueHR (95% CI)P value
Model 1     
 Heterogeneous vs. echolucent 1.48 (0.97–2.26) 0.070 1.39 (0.90–2.17) 0.142 
 Echogenic vs. echolucent 1.60 (1.03–2.55) 0.044 1.45 (0.88–2.34) 0.145 
Model 2     
 Heterogeneous vs. echolucent 1.29 (0.84–1.96) 0.244 1.10 (0.67–1.80) 0.700 
 Echogenic vs. echolucent 1.24 (0.77–1.99) 0.372 1.19 (0.77–1.85) 0.443 
Model 3     
 Heterogeneous vs. echolucent 1.80 (0.83–3.90) 0.137 1.78 (0.75–4.25) 0.193 
 Echogenic vs. echolucent 1.97 (1.05–3.73) 0.035 2.29 (1.13–4.66) 0.022 
Model 4     
 Heterogeneous/echogenic vs. echolucent 1.90 (1.02–3.53) 0.043 2.17 (1.08–4.36) 0.029 
Model 5     
 Heterogeneous/echogenic vs. echolucent 2.02 (1.07–3.82) 0.030 2.32 (1.14–4.73) 0.020 
All MACE
Atherosclerotic MACE
HR (95% CI)P valueHR (95% CI)P value
Model 1     
 Heterogeneous vs. echolucent 1.48 (0.97–2.26) 0.070 1.39 (0.90–2.17) 0.142 
 Echogenic vs. echolucent 1.60 (1.03–2.55) 0.044 1.45 (0.88–2.34) 0.145 
Model 2     
 Heterogeneous vs. echolucent 1.29 (0.84–1.96) 0.244 1.10 (0.67–1.80) 0.700 
 Echogenic vs. echolucent 1.24 (0.77–1.99) 0.372 1.19 (0.77–1.85) 0.443 
Model 3     
 Heterogeneous vs. echolucent 1.80 (0.83–3.90) 0.137 1.78 (0.75–4.25) 0.193 
 Echogenic vs. echolucent 1.97 (1.05–3.73) 0.035 2.29 (1.13–4.66) 0.022 
Model 4     
 Heterogeneous/echogenic vs. echolucent 1.90 (1.02–3.53) 0.043 2.17 (1.08–4.36) 0.029 
Model 5     
 Heterogeneous/echogenic vs. echolucent 2.02 (1.07–3.82) 0.030 2.32 (1.14–4.73) 0.020 

Model 1: adjusted for age, HDL cholesterol, HbA1c, diabetes duration, active smoking, prevalence of hypertension, dyslipidemia, macroangiopathy, microangiopathy, and medications for hypertension (yes/no), dyslipidemia (yes/no), and diabetes (diet, oral agents, insulin). Model 2: as in model 1, but further adjusted for maximal degree of stenosis. Model 3: as in model 2, but restricted to patients with maximal degree of stenosis ≤30%. Model 4: covariates as in model 3 using Cox proportional hazards regression and combining heterogeneous and echogenic plaques. Model 5: as in model 4, but further adjusted for mean carotid IMT.

Figure 2

Kaplan-Meier curves for total (A) and atherosclerotic (B) MACE-free survival in patients with echolucent, heterogeneous, or echogenic plaques. The log-rank test P values indicate that the survival distributions of the three samples differed significantly.

Figure 2

Kaplan-Meier curves for total (A) and atherosclerotic (B) MACE-free survival in patients with echolucent, heterogeneous, or echogenic plaques. The log-rank test P values indicate that the survival distributions of the three samples differed significantly.

Close modal

In the current study, we demonstrated that carotid plaque calcification predicts future cardiovascular events and death in patients with T2D. The risk of incident MACE progressively increased with increasing plaque calcification from noncalcified echolucent, to partially calcified heterogeneous, to heavily calcified echogenic plaques. This consistent association was independent of age, diabetes duration and control, hypertension, and micro- and macroangiopathy.

The characterization of carotid artery lesions is feasible by conventional B-mode ultrasound imaging, allowing a description of plaque composition. Echolucent or hypoechogenic plaques mainly comprise high lipid content, inflammatory cells, and neovessels, whereas echogenic plaques comprise calcific tissue (26,27). An accelerated arterial calcification has been described in diabetes wherein metabolic and inflammatory factors contribute to intimal and medial calcifications (2830). Several large population studies have demonstrated that the identification of vulnerable carotid plaque characteristics is a significant predictor of cardiovascular events (4,14,31). In the Multi-Ethnic Study of Atherosclerosis (MESA), ultrasound-derived plaque metrics independently predicted cardiovascular events and improved risk prediction for coronary heart disease events when added to the Framingham risk score (7). Similarly, the identification of vulnerable plaque characteristics by magnetic resonance imaging has been demonstrated to improve cardiovascular disease prediction (31). In the Atherosclerosis Risk in Communities (ARIC) study (4), where ∼10% of >12,000 subjects had T2D, and in the Northern Manhattan Study (NOMAS) (14), where ∼20% of 1,118 subjects had T2D, arterial calcific lesions predicted cardiac and cerebrovascular events. In T2D, atherosclerotic plaque composition has been evaluated in several arterial districts: In the coronary bed, mixed or noncalcified plaques detected by computed tomography seem predominant with respect to calcified lesions (32,33) and significantly associated with acute cardiac events. At the carotid level, predominance of both echolucent plaques (9) and calcified plaques (15) has been reported. A histological analysis performed on carotid endoarterectomy specimens from 295 patients with T2D has demonstrated the presence of marked calcifications in 53.9% and of a large lipid core in 69.8% of subjects, findings similar to the nondiabetic counterpart (17). In T2D, although most studies suggest that echolucent plaques of the extracranial arteries are better predictors of vascular events than calcific ones (1921,34), Cox et al. (22) recently demonstrated that calcified plaques predicted cardiovascular and all-cause mortality in a cohort of 699 subjects with T2D.

The current study shows for the first time in our knowledge a progressive rise in the risk of cardiovascular events with increasing plaque calcification as determined by ultrasound in patients with T2D. Such data contrast with several other observations that highly calcified plaques are more stable, less prone to rupture, and weakly associated with future vascular events. It should be noted that the debate about whether calcifications stabilize plaque is still open. Although histological assessment indicates that heavily calcified plaques do not predict the clinical outcome (35), intravascular ultrasound studies suggest that spotty calcifications are typical of culprit lesions in acute myocardial infarction (36), which are, by definition, unstable. In addition, as shown by frequency domain optical coherence tomography, the presence of spotty calcification is associated with features of plaque vulnerability (37). The size, number, and location of calcified areas likely determine plaque stability versus instability. Plaques occupied by a large medial calcific nodule are likely to be stiffer and more stable.

On the other hand, plaques with small, dispersed, multiple intimal subendothelial calcifications may be severely unstable and prone to thrombosis when the endothelial layer is damaged, owing to exposure of procoagulant calcium. In fact, mathematical modeling predicts that plaques with the embedded calcified spots display higher wall stress concentration in the fibrous cap a bit upstream to the calcified spot, even in the presence of mild stenosis (38). We emphasize that when patients with a degree of stenosis ≤30% are considered, the presence of echogenic plaques is still significantly associated with future MACE, even after adjusting for mean IMT. This finding has an important clinical value, implying that a worse cardiovascular risk may be attributed to patients even in the presence of mild stenosis when calcium is predominant in the plaques. In the present cohort, patients with heavily calcified or heterogeneous plaques showed similar event-free survival curves, which were significantly worse compared with that of patients with echolucent plaques. Macro- and microcalcifications coexist in the atherosclerotic process, and the relative importance of each in modulating plaque vulnerability may be different in the T2D versus the nondiabetic population. Indeed, several specific pathways triggered by diabetes can lead to calcification beyond inflammation (16), and the biological relationship between calcification and plaque instability should be explored further.

We have previously reported in this cohort that the presence of calcified plaques was associated with diabetic microangiopathy (23), the latter being itself a determinant of cardiovascular disease (39). Plaque microangiopathy, with neovascularization and hemorrhage (35), may be particularly important in diabetes and may modify the association between plaque calcification and vulnerability. It should be noted that only 48% of patients were on lipid-lowering medications, suggesting that the relationship between calcification and risk of MACE may be modified by intensification of statin use.

A limitation of the current study is that data on socioeconomic status and alcohol intake, which can modify the outcome, were not available. In addition, although we adjusted for several factors in the multivariable analysis, we cannot definitively rule out confounding due to other unmeasured variables. This may partly explain differences between the current study and previous ones on this topic.

In conclusion, in this prospective study conducted in patients with T2D, plaque calcification predicted incident MACE, even in patients with mild stenosis. Because this finding contrasts the common notion derived from studies in the general population that calcified plaques are stable, the biology of atherosclerotic calcification in patients with diabetes may be different from that in subjects without diabetes.

Funding. The study was supported by a grant from the Italian Ministry of Education, University and Research (MIUR) Projects of National Interest (PRIN 2012) to A.A.

Duality of Interest. No potential conflicts of interest relevant to this article were reported.

Author Contributions. S.V.d.K. contributed to the study concept and design; data collection, analysis, and interpretation; and manuscript writing. G.P.F. contributed to the study concept and design, data analysis and interpretation, and manuscript writing. S.G. contributed to the data analysis and interpretation and manuscript revision. M.M., A.V., and A.C. contributed to the data collection, analysis, and interpretation and manuscript revision. A.A. contributed to the study concept, data interpretation, and manuscript revision. S.V.d.K. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

1.
Finn
AV
,
Nakano
M
,
Narula
J
,
Kolodgie
FD
,
Virmani
R
.
Concept of vulnerable/unstable plaque
.
Arterioscler Thromb Vasc Biol
2010
;
30
:
1282
1292
[PubMed]
2.
Bots
ML
,
Hoes
AW
,
Koudstaal
PJ
,
Hofman
A
,
Grobbee
DE
.
Common carotid intima-media thickness and risk of stroke and myocardial infarction: the Rotterdam Study
.
Circulation
1997
;
96
:
1432
1437
[PubMed]
3.
Chambless
LE
,
Folsom
AR
,
Clegg
LX
, et al
.
Carotid wall thickness is predictive of incident clinical stroke: the Atherosclerosis Risk in Communities (ARIC) study
.
Am J Epidemiol
2000
;
151
:
478
487
[PubMed]
4.
Hunt
KJ
,
Evans
GW
,
Folsom
AR
, et al
.
Acoustic shadowing on B-mode ultrasound of the carotid artery predicts ischemic stroke: the Atherosclerosis Risk in Communities (ARIC) study
.
Stroke
2001
;
32
:
1120
1126
[PubMed]
5.
Hollander
M
,
Bots
ML
,
Del Sol
AI
, et al
.
Carotid plaques increase the risk of stroke and subtypes of cerebral infarction in asymptomatic elderly: the Rotterdam Study
.
Circulation
2002
;
105
:
2872
2877
[PubMed]
6.
Rundek
T
,
Arif
H
,
Boden-Albala
B
,
Elkind
MS
,
Paik
MC
,
Sacco
RL
.
Carotid plaque, a subclinical precursor of vascular events: the Northern Manhattan Study
.
Neurology
2008
;
70
:
1200
1207
[PubMed]
7.
Polak
JF
,
Szklo
M
,
Kronmal
RA
, et al
.
The value of carotid artery plaque and intima-media thickness for incident cardiovascular disease: the Multi-Ethnic Study of Atherosclerosis
.
J Am Heart Assoc
2013
;
2
:
e000087
[PubMed]
8.
Grønholdt
ML
,
Nordestgaard
BG
,
Schroeder
TV
,
Vorstrup
S
,
Sillesen
H
.
Ultrasonic echolucent carotid plaques predict future strokes
.
Circulation
2001
;
104
:
68
73
[PubMed]
9.
Mathiesen
EB
,
Bønaa
KH
,
Joakimsen
O
.
Echolucent plaques are associated with high risk of ischemic cerebrovascular events in carotid stenosis: the Tromsø Study
.
Circulation
2001
;
103
:
2171
2175
[PubMed]
10.
Honda
O
,
Sugiyama
S
,
Kugiyama
K
, et al
.
Echolucent carotid plaques predict future coronary events in patients with coronary artery disease
.
J Am Coll Cardiol
2004
;
43
:
1177
1184
[PubMed]
11.
Nicolaides
AN
,
Kakkos
SK
,
Kyriacou
E
, et al.
Asymptomatic internal carotid artery stenosis and cerebrovascular risk stratification
.
J Vasc Surg
2010
;
52
:
1486
1496
12.
Komorovsky
R
,
Desideri
A
,
Coscarelli
S
, et al
.
Prognostic implications of sonographic characteristics of carotid plaques in patients with acute coronary syndromes
.
Heart
2005
;
91
:
819
820
[PubMed]
13.
Wattanakit
K
,
Folsom
AR
,
Chambless
LE
,
Nieto
FJ
.
Risk factors for cardiovascular event recurrence in the Atherosclerosis Risk in Communities (ARIC) study
.
Am Heart J
2005
;
149
:
606
612
[PubMed]
14.
Prabhakaran
S
,
Singh
R
,
Zhou
X
,
Ramas
R
,
Sacco
RL
,
Rundek
T
.
Presence of calcified carotid plaque predicts vascular events: the Northern Manhattan Study
.
Atherosclerosis
2007
;
195
:
e197
e201
[PubMed]
15.
He
C
,
Yang
ZG
,
Chu
ZG
, et al
.
Comparison of carotid and cerebrovascular disease between diabetic and non-diabetic patients using dual-source CT
.
Eur J Radiol
2011
;
80
:
e361
e365
[PubMed]
16.
Avogaro
A
,
Rattazzi
M
,
Fadini
GP
.
Ectopic calcification in diabetic vascular disease
.
Expert Opin Ther Targets
2014
;
18
:
595
609
[PubMed]
17.
Scholtes
VP
,
Peeters
W
,
van Lammeren
GW
, et al
.
Type 2 diabetes is not associated with an altered plaque phenotype among patients undergoing carotid revascularization. A histological analysis of 1455 carotid plaques
.
Atherosclerosis
2014
;
235
:
418
423
[PubMed]
18.
Redgrave
JN
,
Lovett
JK
,
Syed
AB
,
Rothwell
PM
.
Histological features of symptomatic carotid plaques in patients with impaired glucose tolerance and diabetes (Oxford Plaque Study)
.
Cerebrovasc Dis
2008
;
26
:
79
86
[PubMed]
19.
Ostling
G
,
Hedblad
B
,
Berglund
G
,
Gonçalves
I
.
Increased echolucency of carotid plaques in patients with type 2 diabetes
.
Stroke
2007
;
38
:
2074
2078
[PubMed]
20.
Katakami
N
,
Takahara
M
,
Kaneto
H
, et al
.
Ultrasonic tissue characterization of carotid plaque improves the prediction of cardiovascular events in diabetic patients: a pilot study
.
Diabetes Care
2012
;
35
:
2640
2646
[PubMed]
21.
Irie
Y
,
Katakami
N
,
Kaneto
H
, et al
.
The utility of ultrasonic tissue characterization of carotid plaque in the prediction of cardiovascular events in diabetic patients
.
Atherosclerosis
2013
;
230
:
399
405
[PubMed]
22.
Cox
AJ
,
Hsu
FC
,
Agarwal
S
, et al
.
Prediction of mortality using a multi-bed vascular calcification score in the Diabetes Heart Study
.
Cardiovasc Diabetol
2014
;
13
:
160
[PubMed]
23.
de Kreutzenberg
SV
,
Coracina
A
,
Volpi
A
, et al
.
Microangiopathy is independently associated with presence, severity and composition of carotid atherosclerosis in type 2 diabetes
.
Nutr Metab Cardiovasc Dis
2011
;
21
:
286
293
[PubMed]
24.
European Carotid Plaque Study Group
.
Carotid artery plaque composition–relationship to clinical presentation and ultrasound B-mode imaging
.
Eur J Vasc Endovasc Surg
1995
;
10
:
23
30
[PubMed]
25.
Touboul
PJ
,
Hennerici
MG
,
Meairs
S
, et al
.
Mannheim carotid intima-media thickness and plaque consensus (2004-2006-2011). An update on behalf of the advisory board of the 3rd, 4th and 5th Watching the Risk Symposia, at the 13th, 15th and 20th European Stroke Conferences, Mannheim, Germany, 2004, Brussels, Belgium, 2006, and Hamburg, Germany, 2011
.
Cerebrovasc Dis
2012
;
34
:
290
296
[PubMed]
26.
Grønholdt
ML
,
Wiebe
BM
,
Laursen
H
,
Nielsen
TG
,
Schroeder
TV
,
Sillesen
H
.
Lipid-rich carotid artery plaques appear echolucent on ultrasound B-mode images and may be associated with intraplaque haemorrhage
.
Eur J Vasc Endovasc Surg
1997
;
14
:
439
445
[PubMed]
27.
Lal
BK
,
Hobson
RW
 2nd
,
Pappas
PJ
, et al
.
Pixel distribution analysis of B-mode ultrasound scan images predicts histologic features of atherosclerotic carotid plaques [published correction appears in J Vasc Surg 2003;38:497]
.
J Vasc Surg
2002
;
35
:
1210
1217
[PubMed]
28.
Virmani
R
,
Joner
M
,
Sakakura
K
.
Recent highlights of ATVB: calcification
.
Arterioscler Thromb Vasc Biol
2014
;
34
:
1329
1332
[PubMed]
29.
Demer
LL
,
Tintut
Y
.
Inflammatory, metabolic, and genetic mechanisms of vascular calcification
.
Arterioscler Thromb Vasc Biol
2014
;
34
:
715
723
[PubMed]
30.
Shemesh
J
,
Tenenbaum
A
,
Fisman
EZ
,
Koren-Morag
N
,
Grossman
E
.
Coronary calcium in patients with and without diabetes: first manifestation of acute or chronic coronary events is characterized by different calcification patterns
.
Cardiovasc Diabetol
2013
;
12
:
161
[PubMed]
31.
Zavodni
AE
,
Wasserman
BA
,
McClelland
RL
, et al
.
Carotid artery plaque morphology and composition in relation to incident cardiovascular events: the Multi-Ethnic Study of Atherosclerosis (MESA)
.
Radiology
2014
;
271
:
381
389
[PubMed]
32.
He
C
,
Yang
ZG
,
Chu
ZG
, et al
.
Carotid and cerebrovascular disease in symptomatic patients with type 2 diabetes: assessment of prevalence and plaque morphology by dual-source computed tomography angiography
.
Cardiovasc Diabetol
2010
;
9
:
91
[PubMed]
33.
Pundziute
G
,
Schuijf
JD
,
Jukema
JW
, et al
.
Noninvasive assessment of plaque characteristics with multislice computed tomography coronary angiography in symptomatic diabetic patients
.
Diabetes Care
2007
;
30
:
1113
1119
[PubMed]
34.
Hirano
M
,
Nakamura
T
,
Kitta
Y
, et al
.
Assessment of carotid plaque echolucency in addition to plaque size increases the predictive value of carotid ultrasound for coronary events in patients with coronary artery disease and mild carotid atherosclerosis
.
Atherosclerosis
2010
;
211
:
451
455
[PubMed]
35.
Hellings
WE
,
Peeters
W
,
Moll
FL
, et al
.
Composition of carotid atherosclerotic plaque is associated with cardiovascular outcome: a prognostic study
.
Circulation
2010
;
121
:
1941
1950
[PubMed]
36.
Ehara
S
,
Kobayashi
Y
,
Yoshiyama
M
, et al
.
Spotty calcification typifies the culprit plaque in patients with acute myocardial infarction: an intravascular ultrasound study
.
Circulation
2004
;
110
:
3424
3429
[PubMed]
37.
Kataoka
Y
,
Puri
R
,
Hammadah
M
, et al
.
Spotty calcification and plaque vulnerability in vivo: frequency-domain optical coherence tomography analysis
.
Cardiovasc Diagn Ther
2014
;
4
:
460
469
[PubMed]
38.
Bluestein
D
,
Alemu
Y
,
Avrahami
I
, et al
.
Influence of microcalcifications on vulnerable plaque mechanics using FSI modeling
.
J Biomech
2008
;
41
:
1111
1118
[PubMed]
39.
Juutilainen
A
,
Lehto
S
,
Rönnemaa
T
,
Pyörälä
K
,
Laakso
M
.
Retinopathy predicts cardiovascular mortality in type 2 diabetic men and women
.
Diabetes Care
2007
;
30
:
292
299
[PubMed]