Diabetes Care
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bernard, S.
Right arrow Articles by Moulin, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bernard, S.
Right arrow Articles by Moulin, P.
Social Bookmarking
 Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?
Diabetes Care 28:1158-1162, 2005
© 2005 by the American Diabetes Association, Inc.


Pathophysiology/Complications
Original Article

Incremental Predictive Value of Carotid Ultrasonography in the Assessment of Coronary Risk in a Cohort of Asymptomatic Type 2 Diabetic Subjects

Sophie Bernard, MD1, André Sérusclat, MD1, François Targe, MD1, Sybil Charrière, MD1, Olivier Roth, MD2, Jacques Beaune, MD, PHD2, François Berthezène, MD, PHD1 and Philippe Moulin, MD, PHD1

1 Department of Endocrinology, Diabetes, and Nutrition, Cardiovascular Hospital, Lyon, France
2 Department of Cardiology, Cardiovascular Hospital, Lyon, France

Address correspondence and reprint requests to Sophie Bernard, Unité 11, 28 Ave. Doyen Lépine, Hôpital Cardiovasculaire Louis Pradel, 69003 Lyon-Montchat, France. E-mail: sophie.bernard{at}chu-lyon.fr


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
OBJECTIVE —Consensus guidelines recommend cardiovascular risk assessment as the initial step of primary prevention. The aim of this study was to evaluate the incremental predictive value for coronary events conferred by carotid ultrasonography in addition to risk assessment by Framingham score and screening for silent myocardial ischemia in a cohort of type 2 diabetic patients.

RESEARCH DESIGN AND METHODS —We prospectively studied 229 patients free of any cardiovascular complication with at least one additional cardiovascular risk factor. At baseline, all patients had an exercise treadmill test, carotid intima-media thickness (IMT) measurement, and coronary risk assessment by Framingham score. Cardiovascular events were registered during a 5-year follow-up period.

RESULTS —Age, carotid IMT, carotid plaques, number of risk factors, Framingham score, and suboptimal exercise electrocardiogram were associated with incident cardiovascular events (P < 0.05). Carotid IMT was an independent predictor of cardiovascular events (P = 0.045). The predictive value for coronary events was similar for carotid IMT and Framingham score as assessed by area under the receiver operating characteristic curves. An improvement in risk prediction was conferred by addition of carotid IMT in a Cox model (global {chi}2 increased from 14.1 to 18.1, P = 0.035).

CONCLUSIONS —This prospective study confirms that carotid IMT is a marker of cardiovascular risk in this type 2 diabetic cohort, establishes that carotid IMT provides a similar predictive value for coronary events than Framingham score, and suggests that the combination of these two indexes significantly improves risk prediction for these patients.

Abbreviations: ETT, exercise treadmill test • IMT, intima-media thickness • ROC, receiver operating characteristic


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
Cardiovascular diseases are the main causes of death for diabetic patients (1). Coronary artery lesions are more extensive in diabetic patients, and coronary artery disease has a worse prognosis than in nondiabetic subjects (2). Moreover, silent myocardial ischemia, which is more frequent in diabetic patients than in the general population, can lead to delayed diagnosis and is associated with an increased risk of cardiac events (35).

Therefore, a strategy to efficiently reduce coronary morbidity and mortality in this high-risk population implies the capability to identify patients with the highest potential of developing coronary events. American and European guidelines recommend an office-based assessment as the initial step in predicting risk in primary prevention (6,7). This determination of coronary risk can be performed by a multifactorial statistical model such as Framingham risk scoring. Screening for silent myocardial ischemia is recommended when two or more additional risk factors are present (8). An exercise electrocardiogram test is often the first-line screening procedure and can yield prognostic information in both asymptomatic diabetic and nondiabetic men (5,9). Myocardial scintigraphy or a stress echocardiogram is additionally recommended if the exercise test is suboptimal (6,7). However, their predictive value is somewhat disappointing because the sensitivities of all these screening stress tests are low in asymptomatic populations (3).

A complementary approach might be to detect subclinical atherosclerosis in arterial sites that are easily accessible for noninvasive evaluation. Carotid intima-media thickness (IMT) measurement has been already used in epidemiologic and intervention studies as a surrogate index of atherosclerosis (1011). Several studies have shown an association between increased carotid IMT and the incidence of cardiovascular disease in general population (1215). Carotid IMT is significantly greater in diabetic patients than in nondiabetic subjects, and baseline carotid IMT predicted the incidence of nonfatal coronary heart disease in a small cohort of Japanese type 2 diabetic subjects (1618). However, the predictive value of the combination of this surrogate marker of the arterial wall and the integration of conventional cardiovascular risk factors has not been tested in type 2 diabetes.

The aim of this prospective study was to test the improvement in coronary risk prediction conferred by carotid arterial wall examination, in addition to assessing coronary risk by Framingham score and screening for silent myocardial ischemia by exercise stress testing in a cohort of asymptomatic type 2 diabetic patients with at least one additional cardiovascular risk factor.


    RESEARCH DESIGN AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
We report the results for 229 patients who completed the study with a 5-year follow-up. Patients were free of any cardiovascular complication, had no abnormalities on resting electrocardiogram, and had at least one additional cardiovascular risk factor. Inclusion criteria were age of 35–75 years; two oral glucose tolerance test results of either fasting glycemia >7.7 mmol/l or glycemia >11 mmol/l 2 h after an oral glucose tolerance test; and one additional cardiovascular risk factor, including antecedent of familial cardiovascular disease in first-degree relative <60 years for men and <65 years for women, arterial blood pressure >140/90 mmHg or treated hypertension, current smoking, microalbuminuria (≥30 mg/day), triglyceride level >2.3 mmol/l, HDL level <0.9 mmol/l, LDL level >4.1 mmol/l, or peripheral vascular disease (except stage IV). Exclusion criteria were type 1 diabetes or secondary diabetes; ketonuria; insulin therapy at baseline; severe microangiopathy (proliferative retinopathy, creatinemia >200 µmol/l); personal cardiovascular disease including previous myocardial infarction, angina pectoris, abnormal resting electrocardiogram, ischemic stroke, severe peripheral arteriopathy stage IV; and concomitant illness (hepatic insufficiency or neoplasia). All patients gave written informed consent before inclusion, and this study had the approval of our local ethics committee.

Demographic and clinical data were registered, including age, sex, antecedent of familial cardiovascular disease, BMI, smoking, and systolic and diastolic blood pressure with automatic measurement (mean of three determinations). Biological parameters were measured, including HbA1c, lipid parameters (total cholesterol, HDL, and triglyceride levels), and microalbuminuria. A conventional resting 12-lead electrocardiogram was obtained (patients with abnormalities suggestive of coronary ischemia or with left bundle branch block were excluded). All patients had an exercise electrocardiogram test, and myocardial scintigraphy was also performed in the subgroup of patients with suboptimal exercise test. The absolute number of cardiovascular risk factors was recorded. The 10-year coronary risk was estimated by using Framingham risk scoring (19).

Cardiovascular events were registered during the 5-year follow-up period. Cardiovascular events included cardiovascular death, nonfatal myocardial infarction (abnormal cardiac enzymes levels with or without new ST-segment elevation >0.1 mV or apparition of Q-waves in at least two contiguous leads), unstable angina (hospitalization for angina pectoris occurring at rest and associated with electrocardiogram changes), stable angina (confirmed by abnormal exercise electrocardiogram and angiographically coronary stenosis), and ischemic stroke (defined as clinical and radiological evidence of stroke without intracranial hemorrhage).

Blood samples were drawn after an overnight fast into tubes containing EDTA, and plasma was immediately separated by low-speed centrifugation. HDL-containing fractions were obtained after precipitation of apolipoprotein B–containing lipoproteins by heparin-MnCl2 at 4°C. Total cholesterol and triglycerides were determined using commercial kits (BioMérieux). LDL was calculated by the Friedewald formula, except for triglycerides >4 mmol/l; in that case, LDL was measured after ultracentrifugation. The plasma concentrations of apolipoprotein B were determined by radioimmunoassay. Non-HDL cholesterol was calculated using the following formula: total cholesterol – HDL. HbA1c levels were determined by high-performance liquid chromatography. Microalbuminuria was assessed on a miction sample; when levels were >20 mg/l, a second determination of 24-h albumin urinary excretion was made. Microalbuminuria was defined as albumin excretion of 30–300 mg/day.

ß-Blockers and calcium blockers were stopped 72 h before exercise testing. Exercise was stopped when patients were exhausted, if they developed angina or severe dyspnea, if the systolic blood pressure decreased by ≥15 mmHg, or if ventricular arrhythmia or ST depression >2 mm occurred. The exercise treadmill test (ETT) was considered positive when ≥1 mm ST-segment depression occurred at 80 ms after J point. ETT was considered negative when no ST depression occurred in a patient who achieved ≥85% of maximal age-predicted heart rate. Suboptimal ETT was defined as no ST depression with maximal heart rate achieved was <85% of predicted.

Patients with a suboptimal ETT underwent a single proton emission computed tomography protocol (in fasting state) using technetium-99m sestamibi, and stress testing was performed with dipyridamole. ß-Blockers and calcium antagonists were stopped 72 h before the exploration. Images were visually interpreted using a semiquantitative color scale by two observers who performed the examination and were subsequently analyzed, in a blind fashion, by a third observer.

Ultrasonographic scanning of the carotid arteries was performed using high-resolution mode B ultrasound (Hitachi EUB 415F) with an electrical linear transducer (midfrequency, 7.5 MHz). Each measure was the mean of 16 determinations performed in plaque-free areas on the last centimeter of both primitive carotid arteries, as previously described (20). All the measurements were performed by the same experienced physician. The intraindividual variation coefficient was tested in two control groups: 6.55 ± 1.8% in 12 healthy subjects and 5.2 ± 0.7% in 10 diabetic patients.

Statistical analysis
Statistical analysis was performed by SSPS 11.0 software. Continuous variables were expressed as means ± SD and categorical variables as frequency and percent. Comparisons between groups (with and without cardiovascular events) were performed with one-way ANOVA for continuous variables and {chi}2 test for categorical variables. A logistic regression analysis (with cardiovascular events as the outcome variable) was made to determine whether IMT was an independent predictor of cardiovascular events. Kaplan-Meier curves were generated to assess survival free of events and were compared using a log-rank test. The potential increment in prognostic value conferred by carotid IMT measurement was tested by two ways: 1) using a new categorical variable, a combined index, taking into account both carotid IMT and Framingham score (0 if carotid IMT and Framingham score are below median values, 1 if carotid IMT or Framingham score is above median value, or 2 if carotid IMT and Framingham score are above median values); and 2) using a multivariate Cox regression analysis (coronary events as outcome variable). P < 0.05 was considered significant for all tests.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
Cardiovascular events and cardiovascular risk predictors
As shown in Table 1, patients were mostly middle-aged men with elevated BMI, moderate hypertriglyceridemia, and low HDL concentration. Overall, 23% were current smokers, 48% had hypertension, and 24% had microalbuminuria. Glycemic control as assessed by HbA1c was poor. The mean number of additional cardiovascular risk factors per patient was 2.6 ± 1.4. The mean ± SD of 10-year coronary risk according to Framingham score was 10.9 ± 8.4%. The exercise electrocardiogram was positive in only one patient and suboptimal for 13% of patients. In the subgroup of patients with suboptimal electrocardiograms, the freuency of abnormal myocardial scintigraphy was 25%. Carotid plaque was reported in 50% of patients. Carotid IMT was 0.84 ± 0.14 mm.


View this table:
[in this window]
[in a new window]
 
Table 1— Baseline characteristics of patients according to the occurrence of cardiovascular events

 
During the 5-year follow-up, 34 cardiovascular events, 28 coronary events, and 6 strokes were recorded, leading to 14.75 and 12.2% 5-year absolute cardiovascular and coronary risks, respectively. Patients who presented an event were older, had elevated carotid IMT, more cardiovascular risk factors, and higher Framingham scores than patients free from events (Tables 1 and 2). A suboptimal exercise electrocardiogram and the presence of carotid plaques were more frequent in the subgroup with cardiovascular events (Table 2). There was also a trend to an elevation of non-HDL cholesterol concentrations and of the proportion of microalbuminuric patients in the subgroup with cardiovascular events (Tables 1 and 2). There was no difference between groups concerning the type and frequency of hypoglycemic agents used (Table 1). The frequency of treatments aimed to reduce cardiovascular risk (hypolipidemic, antihypertensive, or antiplatelet drugs) was similar between groups (Table 1). In multivariate analysis using a model including age, carotid IMT, suboptimal electrocardiogram, microalbuminuria, and non-HDL cholesterol, carotid IMT was the only statistically significant independent predictor of cardiovascular events (P = 0.045) (Table 3). The odds ratio of cardiovascular risk for increase in 1 SD (0.13 mm) of carotid IMT was 1.63 (95% CI 1.01–2.63).


View this table:
[in this window]
[in a new window]
 
Table 2— Nontraditional cardiovascular risk markers according to the occurrence of cardiovascular events

 

View this table:
[in this window]
[in a new window]
 
Table 3— Logistic regression

 
Incremental prediction for coronary events conferred by assessment of both carotid ultrasonography and Framingham coronary risk score
Kaplan-Meier curves showed a significant difference in survival free of coronary events between patients according to Framingham score (using the median of 10.5% as the cutoff value; log rank 9.1; P = 0.0026) (Fig. 1A) and carotid IMT (using the median of 0.835 mm as the cutoff value; 10.1; P = 0.0015) (Fig. 1B). The predictive value for coronary events was similar for carotid IMT and Framingham score as assessed by area under the receiver operating characteristic (ROC) curves (0.715 vs. 0.720, respectively). Using the combined index as described above, the difference in survival shown by Kaplan-Meier curves is clearly increased (16.1, P = 0.0003) (Fig. 1C). The occurrence of a coronary event upon 5-year follow-up was observed in up to 24.2% of patients with a combined index value of 2 and in only 4.7% of patients with a combined index value of 0. The incremental value of carotid IMT was also assessed by developing a sequence of Cox models, starting with absolute number of cardiovascular risk factors, adding Framingham score (dichotomous variable above or below median value) and finally carotid IMT. The global {chi}2 of the statistical model increased from 14.1 to 18.1 (P = 0.035) when carotid IMT was added as a continuous variable and from 12.7 to 16.6 (P = 0.035) when carotid IMT was expressed as a dichotomous variable (median value as cutoff point). Including the presence of carotid plaques instead of carotid IMT in the model was not associated with any increase in global {chi}2.



View larger version (10K):
[in this window]
[in a new window]
 
Figure 1— A: Coronary event–free survival in patients according to Framingham score under (dotted line) or above (solid line) median value. B: Carotid IMT under (dotted line) or above (solid line) median value. C: Combined index value of 0, 1, or 2.

 

    CONCLUSIONS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 
Our prospective study has shown that carotid IMT was an independent predictor of incident cardiovascular events during the 5-year follow-up of middle-aged asymptomatic type 2 diabetic subjects. Previous studies reported that carotid IMT is a good indicator of the presence and extent of cardiovascular diseases in observational studies and that increased carotid IMT is associated with increased incidence of cardiovascular events in general and in diabetic populations (10,1215,18). In our study, the odds ratio for cardiovascular events per SD increase in carotid IMT was 1.63 (95% CI 1.01–2.63), in accordance with results of other larger studies showing 1.43 (1.16–1.78) for myocardial infarction and 1.41 (1.25–1.82) for stroke in the Rotterdam Study, 1.92 (1.66–2.22) in women and 1.32 (1.13–1.54) in men for coronary heart disease in the Atherosclerosis Risk in Communities study, and 1.35 (1.25–1.45) for combined cardiovascular events in the Cardiovascular Health Study (12,13,15).

The original design of our study was to evaluate the incremental prediction of coronary events conferred by measurement of carotid IMT, in addition to a more conventional detection of silent myocardial ischemia and estimation of coronary risk by Framingham score. The sensibility of exercise treadmill test was poor in this middle-aged asymptomatic population due partly to many suboptimal workloads. Conversely, a suboptimal exercise test was more frequently observed in the group with subsequent cardiovascular events. It is in agreement with previous studies that reported low sensibility of exercise treadmill test in asymptomatic populations and worse cardiovascular prognosis in case of suboptimal test (3,9). The observed absolute coronary incidence for a 5-year follow-up was 12.2%, confirming that middle-aged French diabetic subjects have a high coronary risk over the traditional threshold of >2% per year.

The incidence of coronary events is similar for patients with carotid IMT above the median value and for patients with Framingham score above the median value. Accordingly, the areas under the ROC curves for carotid IMT and Framingham score are similar (0.715 and 0.720, respectively), in good agreement with data of the Rotterdam Study in general population (ROC areas 0.71 and 0.72 for carotid IMT and conventional cardiovascular risk factors, respectively) (21). The measurement of carotid IMT has a power to predict coronary events that is similar to Framingham score, but the association of these two indexes significantly improves the risk prediction, as shown by an increase in global {chi}2 in Cox model. The combined use of carotid IMT and Framingham score may help to stratify the patients who need further screening tests for silent myocardial ischemia or who need an intensification of primary prevention. Because up to 24.2% of subjects with both carotid IMT and Framingham score above the median value will present future coronary events in the 5-year follow-up period, this subgroup of patients should be considered similar to subjects in secondary prevention, and intensive risk factor intervention can be efficiently focused on this very-high-risk population. Patients with a combined index of 1 (i.e., carotid IMT or Framingham score above the median values) will present future coronary events in 10.3%, and this subgroup with intermediate risk may be proposed to be screened with stress tests.

In conclusion, our study clearly shows that the use of an index related to the arterial wall such as carotid IMT is a contributive marker of cardiovascular risk in this type 2 diabetic cohort. It provides a predictive value for occurrence of coronary events similar to that observed for Framingham score. Moreover, the combination of these two indexes significantly improves coronary risk prediction and consequently may contribute substantially for efficient patient management.


    Acknowledgments
 
This work was supported by Hospices Civils de Lyon.

We are very grateful to F. Bonnet, C. Bully, L. Groisne, F. Labrousse, S. Marsot, and G. Sautot, who contributed to inclusion of patients, to S. Touzet (Statistical Department) for helpful discussion on statistical methods, and to the nurses in our clinic.


    Footnotes
 
A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Received for publication October 21, 2004. Accepted for publication January 28, 2005.


    References
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS
 References
 

  1. Gu K, Cowie CC, Harris M: Mortality in adults with and without diabetes in a national cohort of the U.S. population, 1971–1993. Diabetes Care 21:1138–1145, 1998[Abstract]
  2. Melchior T, Kober L, Madsen CR, Seibaek M, Jensen GV, Hildebrandt P, Torp-Pedersen C: Accelerating impact of diabetes mellitus on mortality in the years following an acute myocardial infarction. TRACE Study Group: Trandolapril Cardiac Evaluation. Eur Heart J 20:973–978, 1999[Abstract/Free Full Text]
  3. Koïstinen MJ: Prevalence of asymptomatic myocardial ischemia in diabetic subjects. BMJ 301:92–95, 1990
  4. Milan Study on Atherosclerosis and Diabetes (MiSAD) Group: Prevalence of unrecognized silent myocardial ischemia and its association with atherosclerotic risks factors in noninsulin-dependent diabetes mellitus. Am J Cardiol 79:134–139, 1997[Medline]
  5. Weiner DA, Ryan TJ, Parsons L, Fisher LD, Chaitman BR, Sheffield LT, Tristani FE: Significance of silent myocardial ischemia during exercise testing in patients with diabetes mellitus: a report from coronary artery surgery study (CASS) registry. Am J Cardiol 68:729–734, 1991[Medline]
  6. Redberg RF, Greenland P, Fuster V, Pyörälä K, Blair SN, Folsom AR, Newman AB, O‘Leary DH, Orchard TJ, Psaty B, Schwartz JS, Starke R, Wilson PW: Prevention Conference VI: Diabetes and Cardiovascular Disease: Writing Group III: risk assessment in persons with diabetes. Circulation 105:e144–e152, 2002[Free Full Text]
  7. De Backer G, Ambrosioni E, Borch-Johnsen K, Brotons C, Cifkova R, Dallongeville J, Ebrahim S, Faergeman O, Graham I, Mancia G, Manger Cats V, Orth-Gomer K, Perk J, Pyorala K, Rodicio JL, Sans S, Sansoy V, Sechtem U, Silber S, Thomsen T, Wood D, the Third Joint Task Force of European and Other Societies on Cardiovascular Disease Prevention in Clinical Practice: European guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J 24:1601–1610, 2003[Free Full Text]
  8. American Diabetes Association: Consensus development conference on the diagnosis of coronary heart disease in people with diabetes. Diabetes Care 21:1551–1559, 1998[Medline]
  9. Gibbons LW, Mitchell TL, Wei M, Blair SN, Cooper KH: Maximal exercise test as a predictor of risk for mortality from coronary heart disease in asymptomatic men. Am J Cardiol 86:53–58, 2000[Medline]
  10. Holaj R, Spacil J, Petrasek J, Malik J, Haas T, Aschermann M: Intima-media thickness of the common carotid artery is the significant predictor of angiographically proven coronary artery disease. Can J Cardiol 19:670–676, 2003[Medline]
  11. Furberg CD, Adams HP Jr, Applegate WB, Byington RP, Espeland MA, Hartwell T, Hunninghake DB, Lefkowitz DS, Probstfield J, Riley WA: Effect of lovastatin on early carotid atherosclerosis and cardiovascular events: Asymptomatic Carotid Artery Progression Study (ACAPS) Research Group. Circulation 90:1679–1687, 1994[Abstract/Free Full Text]
  12. 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 96:1432–1437, 1997[Abstract/Free Full Text]
  13. Chambless LE, Heiss G, Folsom AR, Rosamond W, SzkloM, Sharrett AR, Clegg LX: Association of coronary heart disease incidence with carotid arterial wall thickness and major risk factors: the Atherosclerosis Risk in Communities (ARIC) Study, 1987–1993. Am J Epidemiol 146:483–494, 1997[Abstract/Free Full Text]
  14. Hodis HN, Mack WJ, LaBree L, Selzer RH, Liu C, Liu C, Azen SP: The role of carotid arterial intima-media thickness in predicting clinical coronary events. Ann Intern Med 128:262–269, 1998[Abstract/Free Full Text]
  15. O’Leary DH, Polak JF, Kronmal RA, Manolio TA, Burke GL, Wolfsom SK, the Cardiovascular Health Study Collaborative Research Group: Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. N Engl J Med 340:14–22, 1999[Abstract/Free Full Text]
  16. Wagenknecht LE, D’Agostino RB Jr, Haffner SM, Savage PJ, Rewers M: Impaired glucose tolerance, type 2 diabetes and carotid wall thickness: the Insulin Resistance Atherosclerosis Study. Diabetes Care 21:1812–1818, 1998[Abstract]
  17. Temelkova-Kurktschiev TS, Koehler C, Leonhardt W, Schaper F, Henkel E, Siegert G, Hanefeld M: Increased intimal-medial thickness in newly detected type 2 diabetes: risk factors. Diabetes Care 22:333–338, 1999[Abstract/Free Full Text]
  18. Yamasaki Y, Kodama M, Nishizawa H, Sakamoto K, Matsuhisa M, Kajimoto Y, Kosugi K, Shimizu Y, Kawamori R, Hori M: Carotid intima-media thickness in Japanese type 2 diabetic subjects: predictors of progression and relationship with incident coronary heart disease. Diabetes Care 23:1310–1315, 2000[Abstract/Free Full Text]
  19. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults: Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 285:2486–2497, 2001[Free Full Text]
  20. Touboul PJ, Prati P, Scarabin PY, Adrai V, Thibout E, Ducimetière P: Use of monitoring software to improve the measurement of carotid wall thickness by B-mode imaging. J Hypertens 10:S37–S41, 1992
  21. Iglesias del Sol A, Moons KG, Hollander M, Hofman A, Koudstaal PJ, Grobbee DE, Breteler MM, Witteman JC, Bots ML: Is carotid intima-media thickness useful in cardiovascular disease risk assessment? The Rotterdam Study. Stroke 32:1532–1538, 2001[Abstract/Free Full Text]

Add to CiteULike CiteULike   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?


This article has been cited by other articles:


Home page
JAMAHome page
Ankle Brachial Index Collaboration
Ankle Brachial Index Combined With Framingham Risk Score to Predict Cardiovascular Events and Mortality: A Meta-analysis
JAMA, July 9, 2008; 300(2): 197 - 208.
[Abstract] [Full Text] [PDF]


Home page
British Journal of Diabetes & Vascular DiseaseHome page
P. Raggi and A. Bellasi
Review: Imaging to assess effect of medical therapy in patients with diabetes mellitus
The British Journal of Diabetes & Vascular Disease, July 1, 2007; 7(4): 157 - 164.
[Abstract] [PDF]


Home page
Diabetes CareHome page
S. Hirayama, T. Miida, O. Miyazaki, and Y. Aizawa
Pre{beta}1-HDL Concentration Is a Predictor of Carotid Atherosclerosis in Type 2 Diabetic Patients
Diabetes Care, May 1, 2007; 30(5): 1289 - 1291.
[Full Text] [PDF]


Home page
J Am Coll CardiolHome page
I. J. Kullo and A. R. Malik
Arterial Ultrasonography and Tonometry as Adjuncts to Cardiovascular Risk Stratification
J. Am. Coll. Cardiol., April 3, 2007; 49(13): 1413 - 1426.
[Abstract] [Full Text] [PDF]


Home page
JAMAHome page
T. Mazzone, P. M. Meyer, S. B. Feinstein, M. H. Davidson, G. T. Kondos, R. B. D'Agostino Sr, A. Perez, J.-C. Provost, and S. M. Haffner
Effect of Pioglitazone Compared With Glimepiride on Carotid Intima-Media Thickness in Type 2 Diabetes: A Randomized Trial
JAMA, December 6, 2006; 296(21): 2572 - 2581.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
H. Yokoyama, N. Katakami, and Y. Yamasaki
Recent Advances of Intervention to Inhibit Progression of Carotid Intima-Media Thickness in Patients With Type 2 Diabetes Mellitus
Stroke, September 1, 2006; 37(9): 2420 - 2427.
[Abstract] [Full Text] [PDF]


Home page
Diabetes CareHome page
P. Raggi, A. Bellasi, and C. Ratti
Ischemia Imaging and Plaque Imaging in Diabetes: Complementary Tools to Improve Cardiovascular Risk Management: Response to Rutter and Nesto
Diabetes Care, May 1, 2006; 29(5): 1188 - 1188.
[Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Bernard, S.
Right arrow Articles by Moulin, P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bernard, S.
Right arrow Articles by Moulin, P.
Social Bookmarking
 Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Diabetes Diabetes Care Clinical Diabetes Diabetes Spectrum