Journal of Preventive Medicine and Care

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Research Article Open Access
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  • One-Third of Patients With Type 2 Diabetes Mellitus Do Not Have Coronary Artery Calcification

    ML Tofterup 1   H Beck-Nielsen 2   O Gerke 3   K Egstrup 4   NPR Sand 5   H Munkholm 6   H Mickley 1   ACP Diederichsen 1 7  

    1Department of Cardiology, Odense University Hospital (OUH), Denmark.

    2Department of Endocrinology, OUH, Denmark.

    3Department of Nuclear Medicine, OUH, Denmark.

    4Department of Cardiology, Svendborg Hospital, Denmark.

    5Department of Cardiology, Sydvestjysk Hospital, Denmark.

    6Department of Cardiology, Vejle Hospital, Denmark.

    7OPEN and CIMA, OUH, Odense, Denmark.



    Measuring coronary artery calcification (CAC) enables to optimize cardiovascular risk-stratification also in patients with type 2 diabetes mellitus (T2D), however the prevalence of CAC in randomly selected patients with T2D is uncertain. For this purpose we set out to examine and compare the occurrence of CAC in unselected T2D patients.


    A randomly selected cohort of 1825 individuals, men and women, either 50 or 60 years old, were invited to the screening study. Traditional risk factors were obtained and a non-contrast CT-scan was performed to assess the CAC score.


    A total of 1211 individuals participated, of whom 54 (4%) had T2D while 1157 (96%) were without diabetes. CAC was present in 62% of the patients with T2D versus 44% in those without (p=0.013). Also the prevalence of traditionally risk factors was high in patients with T2D as compared to subjects without T2D. When adjusting for age, gender, smoking, hypertension and hypercholesterolemia in multivariate logistic regression, T2D was not associated with presence of CAC (OR=1.0; 95% confidence interval 0.5 - 2.0, p=0.94).


    One-third of patients with T2D did not have any CAC, and T2D per se was not associated to CAC.

    Author Contributions
    Received 31 Jul 2014; Accepted 27 Apr 2015; Published 01 Jun 2015;

    Academic Editor: Haewon Byeon, Dept. of Speech Language Pathology & Audiology, Nambu University

    Checked for plagiarism: Yes

    Review by: Single-blind

    Copyright ©  2015 ML Tofterup, et al.

    Creative Commons License     This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

    Competing interests

    The authors have declared that no competing interests exist.


    ML Tofterup, H Beck-Nielsen, O Gerke, K Egstrup, NPR Sand et al. (2015) One-Third of Patients With Type 2 Diabetes Mellitus Do Not Have Coronary Artery Calcification. Journal Of Preventive Medicine And Care - 1(1):1-8.

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    DOI 10.14302/issn.2474-3585.jpmc-14-540


    Cardiovascular disease (CVD) and especially ischemic heart disease (IHD) are the most common complications and the principal causes of death in patients with type 2 Diabetes mellitus (T2D). Over 60% of people with T2D develop CVD, a more severe and costly complication than retinopathy 1. The incidence of T2D is expected to increase rapidly during the following years and a concomitant rise in morbidity and mortality due to CVD, especially IHD is expected 2. Therefore, it is important to consider how to intercept and treat individuals with T2D in the future. To reduce the risk of CVD, statin therapy should be considered for all patients with diabetes 3. However, it remains to be clarified whether patients can be stratified in subgroups who would benefit from a more aggressively preventive treatment algorithm, and who would do fine without. A tool for individualization of the risk of developing clinical symptoms of IHD would be preferable, since patients with diabetes often have blunted or atypical symptoms.

    Coronary artery calcium (CAC) is a well-established marker for atherosclerosis, and measurement of CAC score predict future IHD, and all-cause mortality and provide a predictive power beyond standard risk factors in subjects without diabetes 4, 5. The presence of CAC in randomly selected patients with T2D is uncertain, but in selected patients the CAC score is elevated, and the score increases by the number of metabolic syndrome (MetS) risk factors 6. Among patients with diabetes or MetS, the CAC score is correlated to a high annual rate of both CVD and IHD 7, 8. Indeed, CAC score measurements might optimize CVD risk stratification, and as a result, identify high risk subjects who could receive a more intensified risk modification regime, while in low risk subgroups a healthy lifestyle would be sufficient.

    Consequently, the aim of this study was to assess the occurrence of CAC in unselected patients with T2D, and to identify a potential subgroup that might not benefit from intensified preventive medication.


    Study Cohort

    The Danish Risk Score study (DanRisk) is a population-based survey studying the prevalence of CAC in a random sample of 1825 Danish men and women, 50 or 60 years of age 9. The participants were selected by the Danish national Central Person Register in which all Danish citizens are registered. A total of 1257 (69%) accepted the invitation and were examined in one of the four regional centres (Odense, Esbjerg, Svendborg and Vejle). The protocol was approved by the Regional Scientific Ethical Committee of Southern Denmark (S-20080140), and the study was conducted in accordance with the Declaration of Helsinki. Written informed consent was obtained from each participant.

    Baseline Evaluation

    On the day of examination, weight, height and waist circumference as well as blood glucose, lipids and hs-CPR were measured. Prior to the examination the participants were not fasting. If capillary blood glucose was ≥ 6.1 mmol/L, fasting plasma blood glucose was measured on a second day. After 5 minutes of supine rest, blood pressure was recorded three times. The last two values were averaged for further analyses.

    Previous Disease And Current Medication

    Prior to examination the participants filled out a questionnaire concerning medical conditions, current drug treatment, smoking habits and family history of CVD. Based on the self-reported medical history and the baseline evaluation, possible diseases were classified in subgroups: previous CVD, atrial fibrillation, heart valve disease, known or hitherto unknown diabetes, hypertension and hypercholesterolemia. Heart valve disease was defined as routinely follow-up with echocardiography for valve disease or prior heart valve surgery. Type 1 diabetes mellitus was defined as onset of diabetes in young age, and T2D as the use of antidiabetic medication, fasting plasma blood glucose level ≥ 7.0 mmol/L on two different days or a postprandial blood glucose level ≥ 11.1 mmol/L 10. Antidiabetic treatment included any oral antidiabetic drug and/or insulin. Hypertension was defined as the use of antihypertensive drugs (angiotensin-converting enzyme inhibitors, angiotensin-receptor antagonist, calcium channel blockers, diuretics, β-blockers, α-blockers and centrally active antihypertensive drugs) and/or a blood pressure ≥ 140/90 mmHg at the time of study examination. Hypercholesterolemia was defined as the use of lipid-lowering agents, total cholesterol ≥ 5 mmol/L and / or LDL ≥ 3 mmol/L.


    Using the HeartScore model 11, the 10-year risk of fatal cardiovascular events based on gender, age, smoking, systolic blood pressure, and total cholesterol was estimated. Increased risk was defined by a HeartScore > 5%.

    Coronary Artery Calcification

    A 64-slice non-contrast CT scan was performed as previously described 9. To quantify the CAC score, the Agatston score 12 was calculated by experienced cardiologists, who were blinded to all patient data. Mean radiation dose was 1.2 mSv.


    Data were analysed and displayed descriptively according to their type, i.e., continuous data, and categorical data were summarized by means of descriptive statistics (arithmetic mean and standard deviation, median and range) and frequencies with corresponding percentages, respectively. The association between CAC and various demographic and clinical variables were assessed by means of multivariate logistic regression using three different cut-offs: 1) CAC present versus CAC absent (Agatston > 0 versus Agatston = 0) 2) moderate or high level of CAC present versus moderate or high level of CAC absent (Agatston ≥ 100 versus Agatston < 100), and 3) high level of CAC present versus high level of CAC absent (Agatston ≥ 400 versus Agatston < 400). In order to define potential explanatory variables of CAC, univariate logistic regressions were applied on all demographic and clinical variables available (sex, age, smoking status, T2D, hypertension, hypercholesterolemia, BMI, waist circumference, resting heart rate, family history, CRP). Statistically significant variables in the univariate analyses were included in a multivariate logistic regression model and highly correlated variables (according to Spearman’s rank correlation coefficient) were not considered for inclusion (e.g. waist circumference was added to the multivariate model, whereas BMI was not). Exploratory testing of the association between two variables was done by means of Fisher’s exact test. The significance level was 5%. All analyses were performed using SAS 9.1.3 (SAS Institute Inc., Cary, NC, USA) and Stata/MP 12.1 (StataCorp LP, College Station, Texas 77845 USA).


    A total of 1825 participants were invited, and 1257 (69%) accepted the screening project (Table 1).

    Table 1. Description of the study population
    Invited subjects     1825
    Included     1242
    CVD   31  
    Previous AMI 15    
    Previous stroke 14    
    Peripheral atherosclerosis 2    
    Known T2D   41  
    Newly diagnosed TD2   13  
    Previously healthy   1157  
    Excluded     15
    T1D   5  
    Atrial fibrillation   9  
    Previous valve surgery   1  
    Non-responders     568

    CVD; cardiovascular disease. AMI; acute myocardial infarction. T2D; Type 2 diabetes mellitus. T1D: type 1 diabetes mellitus. Numbers given in n.

    1157 (95.5%) individuals were classified as previously healthy. Of these, 905 (74.7%) had a low and 252 (20.8%) a high HeartScore. Among patients with T2D, 41 had known T2D, and 13 prior unrecognised T2D.

    Of the 54 participants with T2D, the Agatston score was missing in two due to inadequate scan quality (severe obesity) or claustrophobia, while of the 1157 healthy participants, the Agatston score was missing in four participants. Among patients with T2D the prevalence of men, 60 years old, smokers, hypertension and hypercholesterolemia were 50%, 58%, 33%, 69% and 83% respectively, while 47%, 49%, 25%, 49% and 76% for subjects without (Table 2).

    Table 2. Baseline characteristics of the study sample.
      Known CVD Diabetes Non Diabetic
    n = 31 n = 54 N = 1157
    Age (years) 58.8 ± 3.6 56.6 ± 4.8 55.3 ± 5.0
    Gender (Male) 23 (75) 27 (50) 546 (47)
    Family history 7 (23) 14 (26) 268 (23)
    Active smoking 12 (39) 18 (33) 288 (25)
    Former smoking 14 (45) 17 (31) 387 (33)
    BMI (kg/m3) 29 ± 5.5 32 ± 6.5 27 ± 4.6
    Known hypertension 23 (75) 26 (48) 225 (19)
    New discovered hypertension 0 (0) 11 (20) 336 (29)
    Hypercholesterolemia 27 (90) 45 (83) 884 (76)
    Systolic blood pressure (mmHg) 139 ± 20.0 138 ± 21.4 136 ± 22.8
    Diastolic blood pressure (mmHg) 84 ± 10.2 81 ± 10.8 82 ± 10.7
    Total cholesterol (mmol/l) 4.5 ± 1.0 4.8 ± 1.1 5.5 ± 1.02
    LDL-C (mmol/l) 2.4 ± 0.9 2.7 ± 0.9 3.3 ± 0.9
    HDL-C (mmol/l) 1.4 ± 0.5 1.2 ± 0.4 1.5 ± 0.5
    Triglycerides (mmol/l) 1.9 ± 1.1 2.5 ± 1.6 1.5 ± 1.01
    CRP 3.4 ± 5.0 3.8 ± 3.0 2.9 ± 5.0
    Mean (U) 526 ± 867 240 ± 716 80 ± 261
    Median (U) 141 (0-3050) 11 (0-4473) 0 (0-4220)
    CAC-score categories            
      0 U 5 (16) 20 (38) 647 (56)
      > 0 U 26 (84) 32 (62) 506 (44)
      1-9 U 5 (16) 5 (10) 146 (13)
      10-99 U 4 (15) 14 (26) 199 (17)
      100-399 U 9 (28) 9 (17) 102 (9)
      ≥ 400 U 8 (26) 5 (10) 59 (5)

    Values are n (%) or mean ±SD. CVD; cardiovascular disease. CAC; Coronary artery calcification

    Participants with known CVD had significantly higher Agatston scores than those without (p<0.0001), with a median CAC score of 141U versus 11U and 0U among patients with T2D and healthy participants. Previously diagnosed T2D (n=40) had a non-significant higher median CAC score than newly diagnosed T2D (n=12) (16U and 4U, respectively). Compared to subjects without diabetes, CAC was significant more prevalent in those with T2D (62% versus 44%; p=0.013). Participants with T2D had Agatston scores comparable to those with a high HeartScore (prevalence of calcification 62% versus 68%, p=0.34, and severe calcification (Agatston score ≥ 400) 10% versus 12%, p=0.22). Lipid-lowering treatment was more common among subjects with T2D as opposed to those with a high HeartScore (54% and 12%, respectively), and accordingly mean total-cholesterol value was lower (4.8 mmol/L and 5.9 mmol/L, respectively). While 59% of the T2D patients with CAC (19 of 32 patients) received lipid-lowering medication, this was the case for 45% (9 of 20 patients) of the T2D patients without CAC.

    537 of the 1211 participants without CVD had coronary calcification, 174 had moderate or severe calcification (Agatston score ≥100), and 64 demonstrated severe calcification (Agatston score ≥400). Adjusting for covariates in multivariate logistic regression, known risk factors including male gender, aged 60 years, active smoking and hypercholesterolemia were significantly associated with the presence and extent of coronary calcification (Table 3),

    Table 3. Odds ratios for the presence of different levels of CAC
      CAC > 0 (n=537) CAC > 99 (n=174) CAC > 399 (n=64)
      OR 95% CI P value OR 95% CI P value OR 95% CI P value
    Male 3.2 2.5 – 4.2 <0.0001 3.7 2.5 – 5.4 <0.0001 3.7 2.0 – 6.9 <0.0001
    Hypercholesterolemia 2.9 1.9 – 4.4 <0.0001 2.5 1.6 – 3.9 <0.0001 2.9 1.6 – 5.5 0.0007
    Aged 60 years 2.2 1.7 – 2.9 <0.0001 3.7 2.5 – 5.6 <0.0001 6.5 3.0 – 14.1 <0.0001
    Active smoking 1.9 1.4 – 2.5 <0.0001 2.0 1.3 – 2.9 0.0005 2.3 1.3 – 4.1 0.003
    Hypertension 1.3 0.99 – 1.7 0.06 1.4 0.98 – 2.1 0.07 1.7 0.9 – 3.1 0.11
    T2D 1.0 0.5 – 2.0 0.94 1.2 0.6 – 2.5 0.61 1.0 0.3 – 2.8 0.93
    Resting pulse 1.0 0.99 – 1.02 0.35 1.02 1.001 – 1.03 0.03 1.02 0.99 – 1.04 0.06
    Waist length 1.0 0.99 – 1.01 0.78 0.99 0.98 – 1.009 0.43 1.0 0.98 – 1.02 0.95

    CAC; Coronary artery calcification. OR; odds ratio. CI; confidence interval. T2D: Type 2 diabetes mellitus.

    while T2D was not. Excluding hypercholesterolemia from the multivariate regression, T2D continued to be without association to presence and extent of CAC (data not shown).


    We studied the prevalence of CAC in patients with T2D and found that more than one third of these did not have coronary calcification. CAC was more frequent in T2D compared to subjects without diabetes, but T2D per se was not associated to CAC. These data may challenge the European recommendation that all patients with T2D have an increased CVD risk, and should be treated accordingly 13.

    It is well known that patients with T2D are at increased risk of developing IHD, and several studies have demonstrated a two times higher CVD risk in patients with diabetes compared to those without 14, 15. These observations have lead to the conclusion, that asymptomatic patients with T2D have the same risk of myocardial infarction as patients with a prior myocardial infarction. Thus T2D has been proposed to be an IHD equivalent, and patients with diabetes should preferably receive intensive primary preventive therapy. Opposed to our study, one earlier study did also suggest that the CAC score in patients with T2D is similar to that of patients with established CVD 16. However, these data were obtained from a selected population of patients with known diabetes for several years and consequently with a potential higher CAC score than patients with newly discovered diabetes. In our study both subjects with known and newly diagnosed T2D were enrolled, and we found a significantly higher CAC score in patients with established CVD compared to patients with T2D. A more balanced interpretation of the prognostic impact of T2D is supported by the results of a large meta-analysis, showing that patients with diabetes but no prior myocardial infarction have a 43% lower risk of developing IHD compared with patients with previous infarction but without diabetes 17. This is in concordance with the recent MESA study by Malik et al 8, where individuals with T2D or MetS were found to have a low risk of developing IHD or CVD when CAC was not increased, and thereby questioning whether T2D per se is a coronary risk equivalent. The MESA study also showed that CAC added incrementally to the predictive value of both IHD and CVD events in those with T2D or MetS as well as those with none of these conditions. The above is in concordance with our study; when adjusting for covariates in multivariate logistic regression, T2D was not associated with presence or extent of CAC. Thus T2D per se might not be an IHD risk equivalent.

    CAC has been established as a reliable non-invasive marker of coronary atherosclerosis 18, and CAC scoring improves risk stratification, discrimination, and reclassification above and beyond traditional risk factor categories in subject without diabetes 4;5. A high HeartScore has been associated with a high CAC score 19, and also in individuals at low expected risk according to HeartScore, traditional risk factors predict CAC progression in the short term with good discrimination and calibration 20. In subjects with T2D, Qu et al found increased risk and high CAC scores. However, compared to subjects without diabetes the prognostic power of the CAC score was lower in those with T2D 15. Unfortunately, the screening strategy in this study only included high risk subjects with a high proportion of patients with diabetes compared with the general population. In our study, subjects with T2D had higher CAC score than subjects without diabetes, and 38% did not have CAC. This is in accordance with a review by Elkeles 21. They found that 23% of T2D subjects had a low CAC score and were at low risk for CVD. Raggi et al concluded that measurement of CAC score predicted all-cause mortality as effectively in those with T2D as in those without. In fact, subjects with zero CAC score had the same prognosis irrespectively of the presence of T2D 22. Also, Shemesh et al have demonstrated that the risk of developing CVD in patients with T2D and concurrent arterial hypertension but no CAC is lower than in subjects with CAC but no diabetes 23. Finally, the Predict study concluded that CAC score strongly predicts CVD in asymptomatic patients with T2D 24. A doubling of the CAC score was associated with a 32% increase in risk of CVD including strokes.

    Atherosclerosis is accelerated in patients with T2D, and often they do have CVD in more than one vascular territory 25. Progression of calcification may provide insight into atherogenesis, development and treatment of CVD. Thus, a very important question to be answered is when to perform the CAC scan and which frequency is required to determine CAC progression. In subjects without diabetes, CAC progression is found to add incremental value in predicting all-cause mortality, but not in individuals with a baseline CAC score of zero 18. Measurement of CAC progression as a non-invasive predictor of future clinical events in patients with diabetes has yet to be determined, but Wong et al recently concluded that increased progression of CAC in patients with diabetes or MetS could predict future CVD events 7. Also, persons with T2D had an increased incidence and absolute progression of CAC compared with individuals without. In the VADT-study, neither intensive glycemic control nor standard risk factors did influence the CAC progression 26. This study only investigated patients with long lasting T2D and not patients with newly discovered T2D. Interestingly, in a recent follow-up accelerated calcification was associated with more frequent statin use in T2D patients with advanced atherosclerosis 27.

    Absence of coronary calcification does not exclude atherosclerosis and even obstructive coronary artery disease in high risk individuals as well as subjects with diabetes 28. In the future a contract-enhanced CT coronary angiography (CTCA) might become a valuable tool for visualizing both silent vulnerable non-calcified plaques and calcified plaques and thereby predict the true plaque burden.


    Only 69% of invited subjects accepted screening. Therefore, it may be argued that our study does not represent a truly random population sample, since people who agree to participate may be selected and healthier than the general population. However, the participation rate in our study is high, when compared with earlier studies. The presence of CAC indicates atherosclerosis of the coronary arteries, but absence of CAC does not exclude atherosclerosis, since atherosclerotic coronary arteries do not necessarily show calcification. Thus, CAC is solely a pseudo marker, meaning that the measurements do not detect incipient atherosclerosis such as fatty streaks and lipid deposits, which are common in patients with diabetes. Glycated haemoglobin has now been accepted as a criterion for the diagnosis of diabetes, but at the time of the screening fasting plasma blood glucose level was applied, and therefore glycated haemoglobin was not measured. Our data does not include the duration of T2D, and thereby not revealing a possible relationship between T2D duration and CAC score.


    There is a wide range of CVD risk in patients with T2D. In this study, more than one-third did not have any coronary calcification. This observation suggests that also in patients with T2D individual treatment should be considered.


    We are indebted to the dedicated staff at the Department of Cardiology and Nuclear Medicine, Odense University Hospital, the Department of Cardiology, Vejle Hospital, the Department of Cardiology and Radiology, SVS Esbjerg, and the Department of Cardiology and Radiology, Svendborg Hospital.

    Source of Funding

    This work was supported by Region Syddanmark and Odense University Hospital both Denmark.


    1.Perk J, BG Gohlke H De. (2012) European Guidelines on cardiovascular disease prevention in clinical practice (version 2012). The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of nine societies and by invited experts). Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). , Eur Heart J 33, 1635-1701.
    2.Wild S, Roglic G, Green A, Sicree R, King H. (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 27, 1047-1053.
    3.Kearney P M, Blackwell L, Collins R. (2008) Efficacy of cholesterol-lowering therapy in 18,686 people with diabetes in 14 randomised trials of statins: a meta-analysis. , Lancet 371, 117-125.
    4.Polonsky T S, McClelland R L, Jorgensen N W. (2010) Coronary artery calcium score and risk classification for coronary heart disease prediction. , JAMA 303, 1610-1616.
    5.Erbel R, Mohlenkamp S, Moebus S. (2010) Coronary risk stratification, discrimination, and reclassification improvement based on quantification of subclinical coronary atherosclerosis: the Heinz Nixdorf Recall study. , J Am Coll Cardiol 56, 1397-1406.
    6.Wong N D, Sciammarella M G, Polk D. (2003) The metabolic syndrome, diabetes, and subclinical atherosclerosis assessed by coronary calcium. , J Am Coll Cardiol 41, 1547-1553.
    7.Wong N D, Nelson J C, Granston T. (2012) Metabolic syndrome, diabetes, and incidence and progression of coronary calcium: the Multiethnic Study of Atherosclerosis study. , JACC Cardiovasc Imaging 5, 358-366.
    8.Malik S, Budoff M J, Katz R. (2011) Impact of subclinical atherosclerosis on cardiovascular disease events in individuals with metabolic syndrome and diabetes: the multi-ethnic study of atherosclerosis. , Diabetes Care 34, 2285-2290.
    9.Diederichsen A C, Sand N P, Norgaard B. (2012) Discrepancy between coronary artery calcium score and HeartScore in middle-aged Danes: the DanRisk study. , Eur J Prev Cardiol 19, 558-564.
    10. (2009) Diagnosis and classification of diabetes mellitus. Diabetes Care;32(Suppl1): S62-S67 .
    11.Conroy R M, Pyorala K, Fitzgerald A P. (2003) Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. , Eur Heart J 24, 987-1003.
    12.Agatston A S, Janowitz W R, Hildner F J, Zusmer N R, Viamonte M et al. (1990) Quantification of coronary artery calcium using ultrafast computed tomography. , J Am Coll Cardiol 15, 827-832.
    13.Ryden L, Grant P J, Anker S D. (2013) ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD: the Task Force on diabetes, pre-diabetes, and cardiovascular diseases of the European Society of Cardiology (ESC) and developed in collaboration with the European Association for the Study of Diabetes (EASD). , Eur Heart J 34, 3035-3087.
    14.Sarwar N, Gao P, Seshasai S R. (2010) Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. , Lancet 375, 2215-2222.
    15.Qu W, TT Azen SP Le. (2003) Value of coronary artery calcium scanning by computed tomography for predicting coronary heart disease in diabetic subjects. , Diabetes Care 26, 905-910.
    16.Khaleeli E, Peters S R, Bobrowsky K, Oudiz R J, Ko J Y et al. (2001) Diabetes and the associated incidence of subclinical atherosclerosis and coronary artery disease: Implications for management. , Am Heart J 141, 637-644.
    17.Bulugahapitiya U, Siyambalapitiya S, Sithole J, Idris I. (2009) Is diabetes a coronary risk equivalent? Systematic review and meta-analysis. , Diabet Med 26, 142-148.
    18.Budoff M J, Hokanson J E, Nasir K. (2010) Progression of coronary artery calcium predicts all-cause mortality. , JACC Cardiovasc Imaging 3, 1229-1236.
    19.Church T S, Levine B D, McGuire D K. (2007) Coronary artery calcium score, risk factors, and incident coronary heart disease events. , Atherosclerosis 190, 224-231.
    20.Okwuosa T M, Greenland P, Burke G L. (2012) Prediction of coronary artery calcium progression in individuals with low Framingham Risk Score: the Multi-Ethnic Study of Atherosclerosis. , JACC Cardiovasc Imaging 5, 144-153.
    21.Elkeles R S. (2010) Coronary artery calcium and cardiovascular risk in diabetes. , Atherosclerosis 210, 331-336.
    22.Raggi P, Shaw L J, Berman D S, Callister T Q. (2004) Prognostic value of coronary artery calcium screening in subjects with and without diabetes. , J Am Coll Cardiol 43, 1663-1669.
    23.Shemesh J, Motro M, Morag-Koren N, Konen E, Grossman E. (2012) Relation of coronary artery calcium to cardiovascular risk in patients with combined diabetes mellitus and systemic hypertension. , Am J Cardiol 109, 844-850.
    24.Elkeles R S, Godsland I F, Feher M D. (2008) Coronary calcium measurement improves prediction of cardiovascular events in asymptomatic patients with type 2 diabetes: the PREDICT study. , Eur Heart J 29, 2244-2251.
    25.Poulsen M K, Henriksen J E, Dahl J. (2009) Myocardial ischemia, carotid, and peripheral arterial disease and their interrelationship in type 2 diabetes patients. , J Nucl Cardiol 16, 878-887.
    26.Saremi A, Moritz T E, Anderson R J, Abraira C, Duckworth W C et al. (2010) Rates and determinants of coronary and abdominal aortic artery calcium progression in the Veterans Affairs Diabetes Trial (VADT). , Diabetes Care 33, 2642-2647.
    27.Saremi A, Bahn G, Reaven P D. (2012) Progression of vascular calcification is increased with statin use in the Veterans Affairs Diabetes Trial (VADT). , Diabetes Care 35, 2390-2392.
    28.Maffei E, Seitun S, Nieman K. (2011) Assessment of coronary artery disease and calcified coronary plaque burden by computed tomography in patients with and without diabetes mellitus. , Eur Radiol 21, 944-953.

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    1.Mrgan Monija, Funck Kristian L, Gaur Sara, Øvrehus Kristian A, Dey Damini, et al, 2017, High burden of coronary atherosclerosis in patients with a new diagnosis of type 2 diabetes, Diabetes and Vascular Disease Research, 14(6), 468, 10.1177/1479164117728014