CLINICAL PERSPECTIVE

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(Circulation. 2007;115:228-235.)
© 2007 American Heart Association, Inc.

Imaging

Subclinical Coronary and Aortic Atherosclerosis Detected by Magnetic Resonance Imaging in Type 1 Diabetes With and Without Diabetic Nephropathy

Won Yong Kim, MD; Anne Sofie Astrup, MD; Matthias Stuber, PhD; Lise Tarnow, MD; Erling Falk, MD; René M. Botnar, PhD; Cheryl Simonsen, RT; Lotte Pietraszek; Peter R. Hansen, MD; Warren J. Manning, MD; Niels T. Andersen, PhD; Hans-Henrik Parving, MD

From the Department of Cardiology (W.Y.K., E.F.) and MR Center (W.Y.K., C.S.), Skejby Hospital, Aarhus University Hospital, Aarhus, Denmark; Steno Diabetes Center, Gentofte, Denmark (A.S.A., L.T., L.P., H.-H.P.); Russell H. Morgan Department of Radiology and Radiological Science, and Department of Electrical and Computer Engineering, Baltimore, Md (M.S.); Department of Nuclear Medicine, Technical University Munich, Munich, Germany (R.M.B.); Department of Cardiology, Gentofte University Hospital, Gentofte, Denmark (P.R.H.); Department of Medicine, Cardiovascular Division and Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Mass (W.J.M.); and Department of Biostatistics, Institute of Public Health, Aarhus University, Aarhus, Denmark (N.T.A.).

Correspondence to Won Yong Kim, MD, Department of Cardiology, Skejby Hospital, Brendstrupgaardsvej, 8200 Aarhus N, Denmark. E-mail yong.kim{at}ki.au.dk

Received April 20, 2006; accepted November 2, 2006.

	Abstract

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Background— Patients with type 1 diabetes and nephropathy maintain an excess cardiovascular mortality compared with diabetic patients with normoalbuminuria. We sought to evaluate coronary and aortic atherosclerosis in a cohort of asymptomatic type 1 diabetic patients with and without diabetic nephropathy using cardiovascular magnetic resonance imaging.

Methods and Results— In a cross-sectional study, 136 subjects with long-standing type 1 diabetes without symptoms or history of cardiovascular disease, including 63 patients (46%) with nephropathy and 73 patients with normoalbuminuria, underwent cardiovascular magnetic resonance imaging. All subjects underwent cardiac exercise testing and noninvasive tests for peripheral artery disease and autonomic neuropathy. Coronary artery stenoses were identified in 10% of subjects with nephropathy (versus 0% with normoalbuminuria; P=0.007). Coronary plaque burden, expressed as right coronary artery mean wall thickness (1.7±0.3 versus 1.3±0.2 mm; P<0.001) and maximum right coronary artery wall thickness (2.2±0.5 versus 1.6±0.3 mm; P<0.001), was greater in subjects with nephropathy. The prevalence of thoracic (3% versus 0%; P=0.28) and abdominal aortic plaque (22% versus 16%; P=0.7) was similar in both groups. Subjects with and without abdominal aortic plaques had similar coronary plaque burden.

Conclusions— In asymptomatic type 1 diabetes, cardiovascular magnetic resonance imaging reveals greater coronary plaque burden in subjects with nephropathy compared with those with normoalbuminuria.

Key Words: aorta • atherosclerosis • coronary disease • diabetes mellitus • magnetic resonance imaging

	Introduction

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Atherosclerotic cardiovascular disease, in particular coronary heart disease (CHD), is a major cause of mortality and morbidity in both type 1 and type 2 diabetes.¹ Risk assessment in asymptomatic patients with type 1 diabetes is less stringent than for type 2 diabetes. The US guidelines for the prevention of CHD consider diabetes a CHD risk equivalent, regardless of diabetes type, age, and kidney function.² The European guidelines do not consider type 1 diabetes to be a high-risk state unless microalbuminuria is present.³ In a recent prospective follow-up study, we found that the increased cardiovascular mortality in type 1 diabetes was due predominantly to a poor prognosis in patients with diabetic nephropathy.⁴

Cardiovascular magnetic resonance imaging (CMRI) allows noninvasive detection of coronary artery stenoses⁵ and imaging of atherothrombosis in the aorta^6,7 and carotid⁸ and coronary arteries.^9–11 We sought to evaluate the effect of diabetic nephropathy on atherosclerosis in type 1 diabetes using CMRI to evaluate subclinical coronary and aortic atherosclerosis in asymptomatic type 1 diabetic patients with and without nephropathy.

Clinical Perspective p 235

	Methods

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Patient Cohort and Clinical Measurements
The study cohort consisted of 136 subjects with long-standing type 1 diabetes without cardiovascular symptoms or disease who were randomly selected from a larger cohort of 3000 patients seen in the Steno Diabetes Center between July 2003 and February 2005. There were 400 patients with diabetic nephropathy in this larger cohort, which included 46 subjects from a prior 10-year prognostic follow-up study (31 with nephropathy, 15 with albuminuria).⁴ Of the 136 subjects in the study cohort, 63 (43%) had diabetic nephropathy, defined as previously persistent albuminuria (urinary albumin excretion rate >300 mg/24 h in 2 of 3 consecutive 24-hour urine collections), presence of retinopathy, and no evidence of other renal or urinary tract disease.¹²

Blood samples were obtained after 10 minutes of rest. Serum creatinine concentration was assessed by a kinetic Jaffé method. Urinary albumin excretion rate was measured in two 24-hour urine collections by an enzyme immunoassay.¹³ The most recent measurement of glomerular filtration rate in the patient file was noted because all patients with diabetic nephropathy have their glomerular filtration rate measured every year by a ⁵¹Cr-EDTA-clearance technique.¹⁴ The 24-hour ambulatory blood pressure was measured with a Takeda (Osaka, Japan) TM 2421 device. Values were averaged for each hour before the average 24-hour blood pressure was calculated. Ankle-brachial pressure index and systolic blood pressures in the big toe were measured by strain-gauge technique.¹⁵ Tests for autonomic neuropathy, heart rate variability, and orthostatic blood pressure were performed. In addition, somatic nerve function (vibratory perception threshold) was evaluated by biothesiometry. Bicycle exercise ECG was carried out in accordance with consensus guidelines.¹⁶ Test results were analyzed by a masked cardiologist (P.R.H.) and classified as either pathological or normal. If the subject failed to reach 85% of the estimated maximum heart rate, the test was classified as inconclusive. The present study was approved by the local ethics committee, and all patients gave written informed consent.

CMRI Studies
All subjects underwent CMRI examination with a Philips Intera 1.5 T MR whole-body scanner (Philips Medical Systems, Best, The Netherlands) equipped with a 5-element cardiac phased-array coil and a cardiac software package (R9.1.1). All coronary CMRI angiograms were acquired according to a previously validated protocol.^5,17,18

Right coronary artery (RCA) vessel wall scanning was done in a subset of subjects when total scan time did not exceed 1.5 hours (24 with nephropathy, 37 patients without nephropathy) with 3-dimensional black-blood imaging according to a previously validated protocol.^11,19

To evaluate aortic atherosclerosis, subjects underwent thoracoabdominal aortic CMRI with acquisition of 24 transverse slices spanning the aortic arch to the aortoiliac bifurcation using a ECG-gated, T2-weighted, and fat-suppressed black-blood turbo spin-echo sequence.⁷

Coronary Arteries: Stenosis and Plaque Burden
The 3-dimensional coronary data sets were reformatted along the entire visualized course of the coronaries and analyzed by an experienced reviewer (W.Y.K.) blinded to all clinical data. The image quality of all coronary images was visually graded as follows: 1=poor/uninterpretable, 2=good, 3=very good, and 4=excellent.⁵ Coronary angiograms of grades 2 through 4 were classified on the basis of the visual assessment of the coronary artery lumen: none or minimal luminal narrowing or with significant disease (marked attenuation of coronary lumen signal).⁵ RCA vessel wall scans of grades 2 through 4 were classified by visual interpretation of vessel walls: plaque or no plaque, depending on the presence or absence of focal coronary vessel wall thickening in any of the visualized segments. Coronary plaque burden (CPB) was quantified as the mean and maximum RCA vessel wall thicknesses along the entire proximal course of the vessel by semiautomated segmentation of the 3-dimensional reformatted black-blood vessel wall scans (Figure 1).^11,20

View larger version (135K): [in this window] [in a new window]   Figure 1. Three-dimensional reformatted black-blood vessel wall imaging of the proximal RCA showing focal coronary vessel wall thickening (dotted line represents maximum wall thickness of 2.6 mm). Average vessel wall thickness (1.8 mm) is calculated as the mean of the anterior and posterior wall thicknesses along the proximal RCA as indicated by the black lines.

Aorta: Vessel Wall Volume and Plaque Burden
Aortic CMRI data were transferred to a commercial EasyVision Work Station (version 3.0, Philips Medical Systems) and analyzed by consensus of 2 reviewers (W.Y.K., C.S.) blinded to all clinical data. Aortic vessel wall and plaque data were classified as thoracic or abdominal according to their location above or below the diaphragm, respectively. Atherosclerotic plaque was defined as characteristic luminal protrusions of 1 mm in radial thickness.⁷ The cross-sectional vessel wall area in each slice was computed. The total thoracic and abdominal aortic vessel wall volumes were then calculated as the sum of each slice area multiplied by the slice gap. To quantify the magnitude of aortic atherosclerosis in each subject, 2 estimates of plaque burden, slice plaque burden and area plaque burden, were determined.⁷

Statistical Analysis
Variables were compared between groups by a 2-sample Student t test or Wilcoxon rank-sum test. Frequencies were compared by use of a ² test or Fisher exact test.

Multiple linear regression analysis was performed to investigate the associations between CPB and the clinical variables (including tests for peripheral artery disease and autonomic neuropathy) listed in Tables 1 and 2. Each of the clinical variables was included in the analysis separately with and without diabetic nephropathy. The analysis was performed twice with and without the assumption that the association is different for subjects with and without nephropathy. This was done by including an interaction term for clinical variables and nephropathy for the model assuming different slopes. The multiple linear regression analysis also allows us to compare CPB between subjects with and without nephropathy adjusted for the clinical variables. Two-tailed values of P<0.05 were considered significant. All calculations were made with SPSS version 13.0 (SPSS, Chicago, Ill) and STATA version 9.2 (College Station, Tex).

View this table: [in this window] [in a new window]   TABLE 1. Clinical Characteristics in 136 Type 1 Diabetic Patients With and Without Diabetic Nephropathy

View this table: [in this window] [in a new window]   TABLE 2. Tests for Autonomic Neuropathy and Peripheral Arterial Disease

The authors had full access to the data and take full responsibility for the integrity of the data. All authors have read and agree to the manuscript as written.

	Results

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Subject Characteristics and Nonimaging tests
The clinical characteristics of the study cohort are summarized in Table 1. Subjects with nephropathy were on average 4 years younger than normoalbuminuric patients. Glycemic control was poorer in subjects with nephropathy (P<0.001), and the data suggest a higher systolic blood pressure (P=0.065). Total cholesterol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol levels were similar, whereas triglycerides (P<0.03) and very low-density lipoprotein cholesterol (P<0.007) were higher in subjects with nephropathy. The renoprotective and cardioprotective pharmacological treatments in the 2 groups were different (Table 1). None of the subjects (0%) with normoalbuminuria had ischemia on exercise testing, whereas 2 subjects (3%) with nephropathy had inducible ischemia (P=0.05). Subjects with nephropathy more often had inconclusive exercise tests (47% versus 14%; P<0.001). The 2 groups had markedly different autonomic and somatic nerve function (Table 2). Subjects with nephropathy also had reduced ankle-brachial pressure index (P<0.03) and big toe blood pressure (P<0.001; Table 2).

CMRI Measurements
Coronary MRI was completed in 131 of the 136 subjects (96%). Ten percent of patients with nephropathy versus 0% of those with normoalbuminuria had CMRI evidence of coronary stenoses (1 vessel, 8%; 2 vessel, 2%) (P<0.007 versus normoalbuminuric). Both subjects with ischemia on exercise testing showed evidence of coronary stenosis by CMRI. The CPB (mean and maximum RCA vessel wall thicknesses) was increased in patients with nephropathy compared with patients with normoalbuminuria (Table 3 and Figure 2). The prevalence of visually identifiable coronary plaque also was higher in subjects with nephropathy (76% versus 15%; P<0.001; Table 3). In patients with normoalbuminuria, all clinical characteristics were similar between the subset of subjects who had CPB assessment and those who did not. In subjects with nephropathy, systolic (127±18 versus 139±17 mm Hg; P=0.01) and diastolic (67±8 versus 74±10 mm Hg; P=0.01) blood pressures were lower in those subjects who underwent CPB scanning (n=21) compared with those who did not (n=42). Heart rate (73±11 versus 97±8 bpm; P=0.02) and statin use (33% versus 69%; P=0.007) also were lower in subjects who underwent CPB assessment.

View this table: [in this window] [in a new window]   TABLE 3. Coronary Plaque Burden

View larger version (157K): [in this window] [in a new window]   Figure 2. Three-dimensional reformatted coronary MRI of the proximal RCA in 2 subjects without coronary luminal stenosis: a 58-year-old man with long-standing type 1 diabetes and normoalbuminuria (A) and a 44-year-old man with long-standing type 1 diabetes and diabetic nephropathy (C). The corresponding 3-dimensional black-blood vessel wall scans show no CMRI evidence of atherosclerotic plaque (B; average and maximum vessel wall thickness, 1.1 and 1.3 mm, respectively) and an increased atherosclerotic plaque burden (D; average and maximum vessel wall thickness, 2.3 and 3.0 mm, respectively). The anterior and posterior RCA walls are indicated by arrows.

CMRI of aortic atherosclerosis was completed in 128 of the subjects (94%). In 8 subjects, imaging was not completed or the image quality was inadequate for assessment. The prevalence of thoracic and abdominal plaques was similar in both patient groups (P=NS; Table 4). Subjects with (n=8) and without (n=44) abdominal aortic plaques had similar CPB (mean vessel wall thickness, 1.6±0.3 versus 1.5±0.3 mm; P=0.15; maximum vessel wall thickness, 2.0±0.4 versus 1.8±0.5 mm; P=0.22).

View this table: [in this window] [in a new window]   TABLE 4. Aortic Plaque Burden

The results of the multiple regression analysis of CPB for the clinical variables with at least 1 value of P<0.10 are summarized in Table 5. There was a significant association between CPB and the duration of diabetes (Figure 3) and total cholesterol level. In subjects with normoalbuminuria, CPB was significantly associated with systolic (significantly different from subjects with nephropathy; Figure 4) and diastolic blood pressure, whereas in patients with nephropathy, CPB showed an association with low-density lipoprotein cholesterol levels. After the effects of the clinical variables were accounted for, there was still a significant effect of nephropathy on CPB, with CPB being significantly higher for subjects with nephropathy compared with subjects with normoalbuminuria. Thus, for all clinical variables (independent variables), regression analysis showed significantly greater intercepts (ie, CPB) for subjects with nephropathy compared with subjects with normoalbuminuria (eg, Figure 3).

View this table: [in this window] [in a new window]   TABLE 5. Factors Influencing CPB in Multiple Linear Regression Models

View larger version (27K): [in this window] [in a new window]   Figure 3. Regression of diabetes duration and RCA mean vessel wall thickness. Separate regression lines plotted for subjects with normoalbuminuria (solid line) and nephropathy (dotted line) show similar regression slopes but with a significant difference in intercepts corresponding to 0.34-mm vessel wall thickness.

View larger version (27K): [in this window] [in a new window]   Figure 4. Regression of systolic blood pressure and RCA mean vessel wall thickness. Separate regression lines plotted for subjects with normoalbuminuria (solid line) and nephropathy (dotted line) show significantly different regression slopes.

	Discussion

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To the best of our knowledge, the present study is the first to evaluate CPB and aortic plaque burden noninvasively in an asymptomatic cohort with long-standing type 1 diabetes.

In this cross-sectional study of 136 asymptomatic type 1 diabetic patients, CMRI revealed greater CPB and higher prevalence of coronary artery stenoses in patients with diabetic nephropathy compared with those with normoalbuminuria. None of our type 1 diabetic patients with normoalbuminuria had coronary artery stenoses or ischemia on exercise testing, and the prevalence of subclinical coronary plaque was low (15%). These data suggest that asymptomatic patients with type 1 diabetes and normoalbuminuria are not necessarily at high risk of atherosclerotic cardiovascular disease, which is in accordance with the most recent prospective follow-up study⁴ and current European guidelines for the prevention of CHD.³

In comparison, the prevalence of asymptomatic coronary stenosis investigated with invasive coronary angiography was 47% among 110 pretransplant patients with type 1 diabetes²¹ and 34% in a cohort of 29 asymptomatic diabetics.²² These differences may be explained by clinical differences in the study groups and methodology and more recent intensified interventions toward reducing CHD risk factors.

Aortic plaque burden was similar between groups, and the prevalence of abdominal and thoracic plaques was comparable to a previously reported group of asymptomatic subjects from the Framingham Heart Study offspring cohort.⁷

Prior studies have shown an association between angiographically determined extent of coronary artery stenosis and atherosclerosis in the thoracic aorta in patients with CHD.^23,24 In our population of asymptomatic type 1 diabetics, we found similar magnitudes of CPB in subjects with and without aortic atherosclerosis. Our data suggest that nephropathy is associated with a differential impact on aortic and coronary atherosclerosis and that coronary atherosclerosis is preferentially accelerated in subjects with nephropathy. A similar finding was reported from a prospective study, showing that peripheral artery disease and CHD in type 1 diabetes had different risk factors. Nephropathy was an independent risk factor for CHD but not for peripheral artery disease.²⁵

Existing CHD risk prediction models have been developed with data from the general population²⁶ or from patients with type 2 diabetes²⁷ and therefore do not accurately predict cardiovascular events in type 1 diabetes.²⁸ Furthermore, intensive contemporary cardioprotective and renoprotective medication has frequently been implemented, making risk stratification more challenging because the modifiable risk factors have already been favorably changed from baseline. Our data based on regression analysis showed that CPB was correlated to diabetes duration and present total cholesterol levels, whereas blood pressure showed a positive association with CPB only in patients with normoalbuminuria. The lack of correlation between blood pressure and CPB in patients with nephropathy most likely reflects the more intensive use of antihypertensive therapy. The cross-sectional design of our study precludes assessment of cardiovascular risk profile during the entire follow-up period; therefore, the long-term effect of modifiable risk factors on atherosclerosis could not be evaluated.

Cardiovascular autonomic neuropathy has been identified as an independent risk factor for cardiovascular morbidity and mortality in type 1 diabetic patients with nephropathy.²⁹ Cardiovascular autonomic neuropathy results from damage to the autonomic nerve fibers that innervate the heart and blood vessels, resulting in abnormalities in heart rate control and vascular dynamics.³⁰ The exact mechanism by which autonomic neuropathy increases cardiovascular risk in type 1 diabetes is unknown. Our data did not show significant associations between CPB and cardiovascular autonomic neuropathy.

The development of atherothrombosis in the presence of nephropathy has been attributed to several mechanisms, including hypertension, dyslipidemia, and abnormalities of fibrinolysis and coagulation.³¹ Diabetic nephropathy is associated with an atherogenic lipoprotein profile, including elevated low-density lipoprotein, very low-density lipoprotein, and lipoprotein(a) and decreased high-density lipoprotein.^32,33 Furthermore, a hypercoagulable state characterized by increased plasminogen activator inhibitor-I, factor VII, and plasma fibrinogen levels has been described.³⁴ Reduced renal function can lead to the accumulation of advanced glycosylation end products in the circulation and tissue,³⁵ which may accelerate atherosclerosis.

Noninvasive surrogate measures for cardiovascular disease events have the potential to increase the efficiency of clinical trials and to improve risk stratification. A leading candidate for such a surrogate is the carotid artery intima-media thickness. In the Epidemiology of Diabetes Interventions and Complications study, the carotid intima-media thickness of type 1 diabetics was related to conventional risk factors, including hypertension, dyslipidemia, and smoking, as well as urinary albumin excretion.³⁶ Furthermore, intensive therapy presumably mediated through improved glycemic control resulted in decreased progression of intima-media thickness after 6 years.³⁷ Whether the decrease in the progression of intima-media thickness translates into a reduction in cardiovascular events remains unknown.

The excess cardiovascular mortality in type 1 diabetes is present predominantly in patients with nephropathy.^4,38 Despite favorable alteration in cardiovascular risk factors, 40% of type 1 diabetes patients with nephropathy (versus 10% with normoalbuminuria) develop cardiovascular events over a decade of follow-up.⁴

At baseline in 1993, the cohort of patients with diabetic nephropathy had elevated lipid levels and higher blood pressure compared with patients with normoalbuminuria.⁴ The high prevalence (76%) of coronary plaques compared with the relatively low prevalence (10%) of significant coronary stenosis in our patients with nephropathy confirms the concept of outward (positive or Glagov type) remodeling with preservation of lumen size despite the progression of atherosclerotic plaques. Outward arterial remodeling is more often associated with morphological predictors of plaque instability.³⁹ Acute coronary syndromes frequently result from rupture of an atherosclerotic plaque in an area of only mild to moderate luminal narrowing.^40,41 These data suggest that coronary atherothrombosis may play an important role in the overall high cardiovascular mortality in patients with nephropathy. Given the low number of ischemic exercise tests (3%) and coronary stenosis (10%) in subjects with nephropathy, screening this population with either cardiac exercise testing or noninvasive coronary angiography would not be appropriate for risk stratification. Furthermore, a large proportion (47%) of subjects with nephropathy were unable to achieve 80% of their maximum predicted heart rate with exercise, resulting in inconclusive test results. Current guidelines recommend stress testing in asymptomatic diabetic patients only if 2 risk factors are present or if the resting ECG suggests ischemia or infarction.¹

The assessment of coronary artery stenosis was based on visual inspection of the coronary angiograms using a previously validated approach with a sensitivity for detection of significant coronary stenosis (compared with quantitative x-ray angiography) of 88% to 93%.⁵ Therefore, it is unlikely that the low prevalence of coronary stenoses in our study group was a false-negative finding. Furthermore, the reproducibility of CMRI for evaluating coronary and aortic atherosclerosis has been validated.^19,42 Because of time constraints, only 54 subjects were able to have CPB assessments. Because CPB was not positively associated with blood pressures in subjects with nephropathy, it is unlikely that the lower blood pressures in those subjects with nephropathy who had CPB measured compared with those who did not have it measured would affect the observed difference in CPB between subjects with and without nephropathy. Other limitations include spatial resolution, analysis of CPB restricted to the RCA, and lack of plaque characterization.

Conclusions
A low prevalence of coronary stenoses was found in asymptomatic middle-aged patients with long-term type 1 diabetes on contemporary cardioprotective and renoprotective medication. However, CMRI identified a greater CPB in asymptomatic type 1 diabetic patients with nephropathy compared with those with normoalbuminuria. Given the well-known high risk of cardiovascular disease in patients with type 1 diabetes and nephropathy, the aortic plaque prevalence and plaque burden were unexpectedly low in this population. The prognostic value of CMRI awaits follow-up studies in subgroups of medium- to high-risk populations such as patients with type 1 diabetes.

	Acknowledgments

 
Disclosures

Dr Parving is a current consultant to or has had a past relationship with the following companies: Merck & Co, Inc; Sanofi-Aventis; Novartis; Novo Nordisk A/S; and Pfizer, Inc. Dr Stuber was supported by a Biomedical Engineering Grant from the Whitaker Foundation (RG-02-0745) and a grant from the Donald W. Reynolds Foundation. Dr Stuber is compensated as a consultant by Philips Medical Systems NL, the manufacturer of equipment described in this presentation. The terms of this arrangement have been approved by the Johns Hopkins University in accordance with its conflict of interest policies. The other authors report no conflicts.

	References

Top Abstract Introduction Methods Results Discussion References

 
1. Consensus development conference on the diagnosis of coronary heart disease in people with diabetes: 10–11 February 1998, Miami, Florida: American Diabetes Association. Diabetes Care. 1998; 21: 1551–1559.[Medline] [Order article via Infotrieve]

2. 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. 2001; 285: 2486–2497.[Free Full Text]

3. De BG, 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. European guidelines on cardiovascular disease prevention in clinical practice: Third Joint Task Force of European and Other Societies on Cardiovascular Disease Prevention in Clinical Practice. Eur Heart J. 2003; 24: 1601–1610.[Free Full Text]

4. Astrup AS, Tarnow L, Rossing P, Pietraszek L, Hansen PR, Parving HH. Improved prognosis in type 1 diabetic patients with nephropathy: a prospective follow-up study. Kidney Int. 2005; 68: 1250–1257.[CrossRef][Medline] [Order article via Infotrieve]

5. Kim WY, Danias PG, Stuber M, Flamm SD, Plein S, Nagel E, Langerak SE, Weber OM, Pedersen EM, Schmidt M, Botnar RM, Manning WJ. Coronary magnetic resonance angiography for the detection of coronary stenoses. N Engl J Med. 2001; 345: 1863–1869.[Abstract/Free Full Text]

6. Fayad ZA, Nahar T, Fallon JT, Goldman M, Aguinaldo JG, Badimon JJ, Shinnar M, Chesebro JH, Fuster V. In vivo magnetic resonance evaluation of atherosclerotic plaques in the human thoracic aorta: a comparison with transesophageal echocardiography. Circulation. 2000; 101: 2503–2509.[Abstract/Free Full Text]

7. Jaffer FA, O’Donnell CJ, Larson MG, Chan SK, Kissinger KV, Kupka MJ, Salton C, Botnar RM, Levy D, Manning WJ. Age and sex distribution of subclinical aortic atherosclerosis: a magnetic resonance imaging examination of the Framingham Heart Study. Arterioscler Thromb Vasc Biol. 2002; 22: 849–854.[Abstract/Free Full Text]

8. Cai J, Hatsukami TS, Ferguson MS, Kerwin WS, Saam T, Chu B, Takaya N, Polissar NL, Yuan C. In vivo quantitative measurement of intact fibrous cap and lipid-rich necrotic core size in atherosclerotic carotid plaque: comparison of high-resolution, contrast-enhanced magnetic resonance imaging and histology. Circulation. 2005; 112: 3437–3444.[Abstract/Free Full Text]

9. Fayad ZA, Fuster V, Fallon JT, Jayasundera T, Worthley SG, Helft G, Aguinaldo JG, Badimon JJ, Sharma SK. Noninvasive in vivo human coronary artery lumen and wall imaging using black-blood magnetic resonance imaging. Circulation. 2000; 102: 506–510.[Abstract/Free Full Text]

10. Botnar RM, Stuber M, Kissinger KV, Kim WY, Spuentrup E, Manning WJ. Noninvasive coronary vessel wall and plaque imaging with magnetic resonance imaging. Circulation. 2000; 102: 2582–2587.[Abstract/Free Full Text]

11. Kim WY, Stuber M, Bornert P, Kissinger KV, Manning WJ, Botnar RM. Three-dimensional black-blood cardiac magnetic resonance coronary vessel wall imaging detects positive arterial remodeling in patients with nonsignificant coronary artery disease. Circulation. 2002; 106: 296–299.[Abstract/Free Full Text]

12. Parving H-H, Andersen AR, Smidt UM, Svendsen PA. Early aggressive antihypertensive treatment reduces rate of decline in kidney function in diabetic nephropathy. Lancet. 1983; 1: 1175–1179.[Medline] [Order article via Infotrieve]

13. Feldt-Rasmussen B, Dinesen B, Deckert M. Enzyme immunoassay: an improved determination of urinary albumin in diabetics with incipient nephropathy. Scand J Clin Lab Invest. 1985; 45: 539–544.[Medline] [Order article via Infotrieve]

14. Brochner-Mortensen J, Rodbro P. Selection of routine method for determination of glomerular filtration rate in adult patients. Scand J Clin Lab Invest. 1976; 36: 35–43.[Medline] [Order article via Infotrieve]

15. Lassen NA, Tvedegaard E, Jeppesen FI, Nielsen PE, Bell G, Gundersen J. Distal blood pressure measurement in occlusive arterial disease: strain gauge compared to xenon-133. Angiology. 1972; 23: 211–217.[Free Full Text]

16. Gibbons RJ, Balady GJ, Beasley JW, Bricker JT, Duvernoy WF, Froelicher VF, Mark DB, Marwick TH, McCallister BD, Thompson PD, Winters WL Jr, Yanowitz FG, Ritchie JL, Cheitlin MD, Eagle KA, Gardner TJ, Garson A Jr, Lewis RP, O’Rourke RA, Ryan TJ. ACC/AHA guidelines for exercise testing: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on Exercise Testing). Circulation. 1997; 96: 345–354.[Free Full Text]

17. Stuber M, Botnar RM, Danias PG, Sodickson DK, Kissinger KV, Van CM, De BJ, Manning WJ. Double-oblique free-breathing high resolution three-dimensional coronary magnetic resonance angiography. J Am Coll Cardiol. 1999; 34: 524–531.[Abstract/Free Full Text]

18. Spuentrup E, Katoh M, Buecker A, Manning WJ, Schaeffter T, Nguyen TH, Kuhl HP, Stuber M, Botnar RM, Gunther RW. Free-breathing 3D steady-state free precession coronary MR angiography with radial k-space sampling: comparison with cartesian k-space sampling and cartesian gradient-echo coronary MR angiography: pilot study. Radiology. 2004; 231: 581–586.[Abstract/Free Full Text]

19. Desai MY, Lai S, Barmet C, Weiss RG, Stuber M. Reproducibility of 3D free-breathing magnetic resonance coronary vessel wall imaging. Eur Heart J. 2005; 26: 2320–2324.[Abstract/Free Full Text]

20. Etienne A, Botnar RM, Van Muiswinkel AM, Boesiger P, Manning WJ, Stuber M. "Soap-bubble" visualization and quantitative analysis of 3D coronary magnetic resonance angiograms. Magn Reson Med. 2002; 48: 658–666.[CrossRef][Medline] [Order article via Infotrieve]

21. Manske CL, Wilson RF, Wang Y, Thomas W. Prevalence of, and risk factors for, angiographically determined coronary artery disease in type I-diabetic patients with nephropathy. Arch Intern Med. 1992; 152: 2450–2455.[Abstract/Free Full Text]

22. Larsen J, Brekke M, Sandvik L, Arnesen H, Hanssen KF, Dahl-Jorgensen K. Silent coronary atheromatosis in type 1 diabetic patients and its relation to long-term glycemic control. Diabetes. 2002; 51: 2637–2641.[Abstract/Free Full Text]

23. Rohani M, Jogestrand T, Ekberg M, van der LJ, Kallner G, Jussila R, Agewall S. Interrelation between the extent of atherosclerosis in the thoracic aorta, carotid intima-media thickness and the extent of coronary artery disease. Atherosclerosis. 2005; 179: 311–316.[CrossRef][Medline] [Order article via Infotrieve]

24. Taniguchi H, Momiyama Y, Fayad ZA, Ohmori R, Ashida K, Kihara T, Hara A, Arakawa K, Kameyama A, Noya K, Nagata M, Nakamura H, Ohsuzu F. In vivo magnetic resonance evaluation of associations between aortic atherosclerosis and both risk factors and coronary artery disease in patients referred for coronary angiography. Am Heart J. 2004; 148: 137–143.[CrossRef][Medline] [Order article via Infotrieve]

25. Forrest KY, Becker DJ, Kuller LH, Wolfson SK, Orchard TJ. Are predictors of coronary heart disease and lower-extremity arterial disease in type 1 diabetes the same? A prospective study. Atherosclerosis. 2000; 148: 159–169.[CrossRef][Medline] [Order article via Infotrieve]

26. Wilson PW, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998; 97: 1837–1847.[Abstract/Free Full Text]

27. Stevens RJ, Kothari V, Adler AI, Stratton IM. The UKPDS risk engine: a model for the risk of coronary heart disease in type II diabetes (UKPDS 56). Clin Sci. 2001; 101: 671–679.[CrossRef][Medline] [Order article via Infotrieve]

28. Zgibor JC, Piatt GA, Ruppert K, Orchard TJ, Roberts MS. Deficiencies of cardiovascular risk prediction models for type 1 diabetes. Diabetes Care. 2006; 29: 1860–1865.[Abstract/Free Full Text]

29. Astrup AS, Hansen BV, Hilsted J, Parving HH, Rossing P, Tarnow L. Cardiac autonomic neuropathy predicts cardiovascular morbidity and mortality in type 1 diabetic patients with diabetic nephropathy. Diabetes Care. 2006; 29: 334–339.[Abstract/Free Full Text]

30. Vinik AI, Maser RE, Mitchell BD, Freeman R. Diabetic autonomic neuropathy. Diabetes Care. 2003; 26: 1553–1579.[Abstract/Free Full Text]

31. Deckert T, Kofoed-Enevoldsen A, Norgaard K, Borch-Johnsen K, Feldt-Rasmussen B, Jensen T. Microalbuminuria: implications for micro- and macrovascular disease. Diabetes Care. 1992; 15: 1181–1191.[Abstract]

32. Jensen T, Stender S, Deckert T. Abnormalities in plasmas concentrations of lipoproteins and fibrinogen in type 1 (insulin-dependent) diabetic patients with increased urinary albumin excretion. Diabetologia. 1988; 31: 142–145.[CrossRef][Medline] [Order article via Infotrieve]

33. Winocour PH, Durrington PN, Bhatnagar D, Ishola M, Mackness M, Arrol S. Influence of early diabetic nephropathy on very low density lipoprotein (VLDL), intermediate density lipoprotein (IDL), and low density lipoprotein (LDL) composition. Atherosclerosis. 1991; 89: 49–57.[CrossRef][Medline] [Order article via Infotrieve]

34. Gruden G, Cavallo-Perin P, Bazzan M, Stella S, Vuolo A, Pagano G. PAI-1 and factor VII activity are higher in IDDM patients with microalbuminuria. Diabetes. 1994; 43: 426–429.[Abstract]

35. Makita Z, Bucala R, Rayfield EJ, Friedman EA, Kaufman AM, Korbet SM, Barth RH, Winston JA, Fuh H, Manogue KR. Reactive glycosylation endproducts in diabetic uraemia and treatment of renal failure. Lancet. 1994; 343: 1519–1522.[CrossRef][Medline] [Order article via Infotrieve]

36. Effect of intensive diabetes treatment on carotid artery wall thickness in the epidemiology of diabetes interventions and complications: Epidemiology of Diabetes Interventions and Complications (EDIC) Research Group. Diabetes. 1999; 48: 383–390.[Abstract]

37. Nathan DM, Lachin J, Cleary P, Orchard T, Brillon DJ, Backlund JY, O’Leary DH, Genuth S. Intensive diabetes therapy and carotid intima-media thickness in type 1 diabetes mellitus. N Engl J Med. 2003; 348: 2294–2303.[Abstract/Free Full Text]

38. Borch-Johnsen K, Kreiner S. Proteinuria: value as predictor of cardiovascular mortality in insulin dependent diabetes mellitus. BMJ. 1987; 294: 1651–1654.[Abstract/Free Full Text]

39. Burke AP, Kolodgie FD, Farb A, Weber D, Virmani R. Morphological predictors of arterial remodeling in coronary atherosclerosis. Circulation. 2002; 105: 297–303.[Abstract/Free Full Text]

40. Little WC, Constantinescu M, Applegate RJ, Kutcher MA, Burrows MT, Kahl FR, Santamore WP. Can coronary angiography predict the site of a subsequent myocardial infarction in patients with mild-to-moderate coronary artery disease? Circulation. 1988; 78: 1157–1166.[Abstract/Free Full Text]

41. Falk E, Shah PK, Fuster V. Coronary plaque disruption. Circulation. 1995; 92: 657–671.[Free Full Text]

42. Chan SK, Jaffer FA, Botnar RM, Kissinger KV, Goepfert L, Chuang ML, O’Donnell CJ, Levy D, Manning WJ. Scan reproducibility of magnetic resonance imaging assessment of aortic atherosclerosis burden. J Cardiovasc Magn Reson. 2001; 3: 331–338.[CrossRef][Medline] [Order article via Infotrieve]

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CLINICAL PERSPECTIVE

Patients with type 1 diabetes and nephropathy maintain an excess cardiovascular mortality compared with diabetic patients with normoalbuminuria. Risk assessment in asymptomatic patients with type 1 diabetes is less stringent than for type 2 diabetes, and the effect of diabetic nephropathy on atherosclerosis in type 1 diabetes is not well described. In this cross-sectional study of 136 asymptomatic type 1 diabetic patients with long-standing diabetes, cardiovascular magnetic resonance imaging revealed greater coronary plaque burden and higher prevalence of coronary artery stenoses in patients with diabetic nephropathy compared with those with normoalbuminuria. These data suggest that coronary atherothrombosis may play an important role in the overall high cardiovascular mortality in patients with type 1 diabetes and nephropathy.

	Footnotes

 
Guest Editor for this article was Edgardo Escobar, MD.

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