Published online before print December 22, 2005, doi: 10.1161/01.STR.0000199034.26345.bc
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(Stroke. 2006;37:351.)
© 2006 American Heart Association, Inc.
Original Contributions |
Combined Effects of Hemoglobin A1c and C-Reactive Protein on the Progression of Subclinical Carotid Atherosclerosis
The INVADE Study
From the INVADE Study Group (H.G., E.B.) and Departments of Neurology (D.S., C.S.-H., B.C.) and Psychiatry (H.B.), Technical University of Munich, Munich, Germany.
Correspondence to Dr Dirk Sander, Department of Neurology, Technical University of Munich, Möhlstrasse 28, 81675 München, Germany. E-mail Dirk.Sander{at}neuro.med.tu-muenchen.de
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Abstract |
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Background and Purpose— Glycohemoglobin (hemoglobin A1c [HbA1c]) and high-sensitivity C-reactive protein (hsCRP) are risk indicators for atherosclerosis. Limited information exists regarding the combined effects of inflammation and hyperglycemia. We investigated the joint effects of both parameters on early carotid atherosclerosis progression and major vascular events in diabetic and nondiabetic subjects.
Methods— We analyzed the data of INVADE (Intervention Project on Cerebrovascular Diseases and Dementia in the Community of Ebersberg, Bavaria), a prospective, population-based study conducted in 3534 subjects (mean age, 69 years). In addition to common risk factors, measurements of carotid intima-media thickness (IMT), hsCRP, and HbA1c were performed at baseline and after 2 years of follow-up.
Results— For the entire population, IMT progression was significantly related to HbA1c (P=0.003) but not to hsCRP (P=0.06) after risk factor adjustment. The interaction hsCRPxHbA1c was highly significant (P=0.001), and the most pronounced IMT progression was seen in subjects with both parameters in the fourth quartiles compared with subjects with both parameters in the first quartiles (0.028 [0.025, 0.031] versus 0.012 mm/year [0.007, 0.019]; P=0.0013). We observed a significant joint effect of HbA1c and hsCRP on IMT progression in the diabetic (n=882) as well as the nondiabetic subgroup (n=2652). Subjects with HbA1c and hsCRP in the upper 2 quartiles had an increased risk for new vascular events (adjusted hazard ratio in diabetics: 4.3 [1.8, 7.3]; P=0.001; nondiabetics: 2.9 [1.6, 4.7]; P=0.001).
Conclusions— The combination of hyperglycemia and inflammation is associated with an advanced early carotid atherosclerosis progression and an increased risk of new vascular events in diabetic as well as nondiabetic subjects.
Key Words: atherosclerosis • carotid arteries • diabetes mellitus • epidemiology • inflammation
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Introduction |
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Because a substantial part of incident myocardial infarction (MI) and stroke is unaccounted for by traditional cardiovascular risk factors, there is a great need to find novel and preferably modifiable factors that can identify subjects at high risk. Recent evidence suggests that high-sensitivity C-reactive protein (hsCRP) represents a powerful cardiovascular risk predictor,1 provides additive information on cardiovascular risk,2 and is positively associated with an enhanced atherosclerotic burden.3,4 Elevated glycohemoglobin (hemoglobin A1c [HbA1c]) is an established predictor for developing atherosclerosis beyond the risk associated with diagnosed diabetes5 and is independently associated with cardiovascular disease and total mortality in nondiabetics.6 Insights gained from the link between inflammation and hyperglycemia can yield predictive and prognostic information for further risk.7
The determination of carotid artery intima-media thickness (IMT) is a useful method for an easy, noninvasive evaluation of early carotid atherosclerosis and is independently related to the risk of stroke and cardiovascular events.8 Limited information exists regarding the joint effects of inflammation and hyperglycemia on the progression of early carotid atherosclerosis. We analyzed the combined effects of hsCRP and HbA1c on IMT progression in diabetic and nondiabetic subjects using a large population-based sample of the INVADE (Intervention Project on Cerebrovascular Diseases and Dementia in the Community of Ebersberg, Bavaria) study.
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Methods |
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Subjects
This investigation is part of the INVADE study, a prospective and population-based cohort study in the elderly. All inhabitants of the community of Ebersberg, 30 km east of Munich, Germany, who were born before 1946 and were members of the health insurance company AOK (Allgemeine Ortskrankenkasse) were identified in the AOK database and were then invited to participate (n=10 325). In the community of Ebersberg, >40% of all inhabitants aged >55 years were AOK members. During a baseline phase (2001–2003), 3905 subjects followed the invitation. A total of 3534 subjects were included in the present study. The remaining subjects were excluded because of incomplete laboratory data (n=195) or IMT data that were missing (n=95) or not analyzable (n=81). The baseline investigation was done by primary care physicians of the community of Ebersberg (n=65) and included a standardized questionnaire, a physical examination, evaluation of several risk factors, medical and disease history, a 12-lead ECG, and an overnight fasting venous blood sample for analysis in a central laboratory. A duplex ultrasonographic examination of the carotid arteries was done in all subjects according to a standardized protocol in 8 local centers of excellence after training. All data were entered into a central database after plausibility checks for further evaluation. After the initial baseline investigation, the primary care physician investigated the participants every 3 months. Complete follow-up investigations were scheduled after 2 years and were available for 3478 participants (98.5%). The local institutional review board approved this investigation. All patients provided informed consent before entering the study.
Cardiovascular Disease Status and Risk Factors
Follow-up information on current health status, medical history, lifestyle, cognitive status, mood disorders, drug use, and former cardiovascular risk factors was obtained by a computerized questionnaire at baseline. Risk factors determined included the following: body mass index (BMI) (kg/m2), smoking status, duration of smoking, alcohol consumption, actual medication, social status, education status, arterial hypertension (treatment with antihypertensive medication or documented blood pressure 
140 mm Hg systolic or 90 mm Hg diastolic measured in a standardized fashion9), diabetes mellitus (treatment with antidiabetic drugs or overnight fasting serum glucose levels 7.0 mmol/L or HbA1c >6.0%), prevalent ischemic heart disease (documented by previous MI or angina pectoris, bypass surgery, or >50% angiographic stenosis of 1 major coronary artery), prevalent peripheral artery disease, and prevalent stroke (neurological deficit that persisted >24 hours, evaluated by a neurologist). MI10 and stroke11 were diagnosed according to recent recommendations.
Clinical End Points
Once subjects enter the INVADE study, they are continuously monitored for major events through linkage of the study database with the 3-month visit files from the general practitioners, the AOK database, and the municipality. For reported events, additional information was obtained from hospital records, autopsy records, and death certificates. Two physicians (D.S. or C.S.-H.) independently coded all fatal and nonfatal events. The clinical study end point was the occurrence of major adverse cardiovascular events, a composite of MI, stroke, and vascular death.
Laboratory Examinations
Overnight fasting blood samples were drawn from each subject and were transferred on ice to a central laboratory that performed all analyses. We used a high-sensitivity assay for measurement of serum hsCRP (N High Sensitivity CRP, DADE Behring) with a lower detection level of 0.175 mg/L and a coefficient of variation of 7.6%. The intra-assay precision ranges from 3.1% for a CRP content of 0.5 mg/L to 4.0% for a CRP content of 15 mg/L; the interassay precision was 2.5% and 2.6%, respectively.
HbA1c was measured by high-pressure liquid chromatography separation of hemoglobin fractions with a reference value of 4.0% to 6.0% and a coefficient of variation of 1.8% on a Hi nAuto A1c HA-8140 device (KDK). In addition to these values, cholesterol, LDL, HDL, triglycerides, creatinine, fasting serum glucose, and homocysteine were measured.
Ultrasound Imaging
Eight experienced investigators performed the duplex ultrasonography using a standardized study protocol. The ultrasound data were stored on video or digital audiotapes, were transferred to the neurovascular laboratory of the Department of Neurology, and were digitalized if necessary. The measurements of mean common carotid artery IMT were performed as previously described in detail12 with the use of a computer-supported image analysis system (SigmascanPro 5.0, SPSS). The progression of early carotid atherosclerosis was defined as the difference between the last and first IMT measurement and was normalized as the change of IMT per year.
Statistical Analysis
All values are given as mean and 95% CI or as median and interquartile range (IQR) (range from the 25th to the 75th percentile) or as counts and percentages. We used 
2 tests, independent t tests, Mann-Whitney U tests, and the Spearman rank correlation for univariate analysis, as appropriate. The study population was divided into quartiles according to levels of HbA1c and hsCRP. The IMT differences between subgroups according to hsCRP and HbA1c were tested with multiple linear regression techniques, and the covariate-adjusted mean IMT values (least square means) were reported. To analyze the combined effect of HbA1c and hsCRP on IMT, the interaction term HbA1cxhsCRP was included in the regression models. In all models the IMT data were entered as continuous values. Survival curves were estimated by using the Kaplan-Meier product-limit method and compared by means of the log-rank test. Hazard ratios (HRs) were calculated with the Cox proportional hazard regression model. All multiple analyses were adjusted for the same relevant covariates (baseline age, sex, smoking status, cholesterol, LDL, BMI, systolic and diastolic blood pressure, prevalent ischemic heart disease, and statin use). Calculations were performed with JMP 5.01 software (SPSS Inc). A calculated difference of P<0.05 was considered statistically significant.
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Results |
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The mean age of the participants was 69 (68.8, 69.4) years; 1446 (41%) were male. Diabetes mellitus was diagnosed in 882 patients (25%). Of these, 662 had known diabetes at baseline; in 220 subjects diabetes was newly diagnosed. Three hundred thirty-eight patients received oral antidiabetic therapy; 145 patients received insulin therapy. Complete follow-up 2-year investigations were available for 3478 participants. Follow-up could not be obtained in 56 patients because of vascular (n=13) or nonvascular (n=14) death, loss of follow-up (n=17), or incomplete data (n=12).
Effects of hsCRP and HbA1c on IMT Progression
There was a significant univariate association between IMT progression and HbA1c (r=0.08; P<0.0001) as well as hsCRP (r=0.06; P<0.0001). Analyzing the effects of HbA1c and CRP after adjusting for the other risk factors, we found a significant overall relationship between HbA1c, hsCRP, and IMT progression (F=3.53; P<0.0001; Figure 1). However, after risk factor adjustment only HbA1c (P=0.003) but not hsCRP (P=0.06) remained significantly associated with IMT progression. The interaction hsCRPxHbA1c was highly significant (F=7.36; P=0.001). Accordingly, the most pronounced IMT progression was seen in subjects with both parameters in the fourth quartiles. In contrast, subjects with both parameters in the first quartiles revealed the lowest IMT progression (0.028 [0.025, 0.031] versus 0.012 mm/year [0.007, 0.019]; P=0.0013; Figure 1).
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Diabetic Versus Nondiabetic Subjects
Baseline data of both subgroups are given in Table 1. Diabetic subjects showed significantly higher hsCRP values, increased baseline IMT, and enhanced IMT progression during follow-up (Table 1) compared with the nondiabetic subgroup. As expected, HbA1c was significantly increased in diabetic subjects (Table 1). After risk factor adjustment, IMT progression remained significantly related to HbA1c in both subgroups (Table 2). In diabetic subjects, hsCRP was a predictor of IMT progression after adjustment (P=0.003; Table 2). In contrast, hsCRP was no longer independently associated with IMT progression in the nondiabetic subjects (P=0.29; Table 2). The interaction term HbA1cxhsCRP was highly significant in both subgroups (Table 2), indicating that HbA1c and hsCRP jointly contribute to IMT progression. The model accounted jointly for 39% of the variation in IMT progression in diabetic subjects and for 31% of the variation in nondiabetic subjects (multiple r=0.62, P<0.0001 and 0.56, P=0.0002).
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Effects of hsCRP and HbA1c on Major Cardiovascular Adverse Events
During follow-up, 143 cardiovascular events occurred in 139 patients (4%), including 62 MIs, 68 nonfatal strokes, and 13 vascular deaths. Adjusted HRs for the occurrence of cardiovascular events according to increasing quartiles of HbA1c and hsCRP are given in Table 3 for the diabetic and nondiabetic subgroups. We then tested for interaction between HbA1c and hsCRP with cardiovascular events. Interactions were considered by adding an interaction term (HbA1c [in quartiles]xhsCRP [in quartiles]) to the multivariate model. Adding this term, we observed a significant change of the model fit as indicated by a likelihood ratio test (2=8.82; df 2; P=0.01). To analyze the combined effects of hsCRP and HbA1c in more detail, the subject population was then further subdivided into 3 groups: group I (n=949, 26.9%) consisted of subjects with both hsCRP and HbA1c in the lower 2 quartiles; group II (n=1586, 44.9%) consisted of subjects with 1 of the parameters in the lower 2 quartiles and the other parameter in the upper 2 quartiles; and group III (n=999, 28.2%) consisted of subjects with both parameters in the upper 2 quartiles. A gradually increased risk for adverse events from group I to III was observed (Figure 2). Adjusted HRs for the occurrence of vascular events were most increased in subjects with both parameters in the upper 2 quartiles (Table 3), and diabetic subjects in particular showed a substantially increased risk for new vascular events (HR=4.3; Table 3).
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2.0 mg/L, HbA1c |
Discussion |
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This investigation demonstrates several important findings that may have implications for therapeutic approaches and future studies. First, HbA1c and hsCRP are differently related to carotid atherosclerosis in diabetic compared with nondiabetic subjects. In nondiabetics, we detected a significant association between IMT progression and HbA1c, whereas hsCRP was not significantly related to progression of IMT after adjustment for several conventional risk factors. In contrast, in diabetic patients HbA1c and hsCRP are independent predictors of IMT progression.
Until now there have been conflicting findings regarding the relationship between hsCRP and IMT. Some cross-sectional studies demonstrated that hsCRP is related to the extent of IMT,13,14 whereas other prospective studies could not establish a significant association with IMT progression after adjustment for several traditional risk indices.15 An analysis from the Rotterdam Study has shown that hsCRP predicts progression of more advanced atherosclerosis with the use of a composite plaque score.4 Additionally, a recent small investigation also detected a relationship between progression of plaque number as well as plaque score and CRP.16 In summary, these data indicate that hsCRP may play a more important role in advanced stages of atherosclerosis or active atherosclerotic disease17 rather than in early atherosclerosis as studied by use of IMT measurements.
Previous cross-sectional studies could demonstrate a positive relation between increasing levels of HbA1c and carotid IMT.5,18 Data from the Tromsø study19 indicated that even modestly elevated levels of glycohemoglobin are strongly related to the prevalence of carotid plaques with high echogenicity in nondiabetic individuals. To the best of our knowledge, the present study is the first large and population-based investigation that prospectively demonstrated a significantly enhanced IMT progression in subjects with average HbA1c values in the upper normal range as well as in the nondiabetic subgroup. This pronounced effect of HBA1c on early carotid atherosclerosis progression corroborates the hypothesis that HbA1c may be causally related to atherosclerosis even at low levels and may explain the positive association between HbA1c and future cardiovascular risk even in nondiabetic subjects.6,20
The most important result of our study is that even slightly elevated levels of hsCRP and HbA1c jointly contribute to the progression of atherosclerosis at early and subclinical stages of the disease in diabetic as well as nondiabetic subjects. In the nondiabetic subgroup, median HBA1c levels >5.5% and median hsCRP levels >1.8 mg/L are jointly related to significantly enhanced IMT progression and were associated with a nearly 3-fold increased risk for new major vascular events. The combined effect of both parameters on vascular events is even more pronounced in diabetic subjects with a HR of 4.3. Inflammation is one of the primary mechanisms of atherogenesis, and elevation of hsCRP heralds atherothrombotic events. However, hsCRP was described not merely as a marker of atherosclerosis risk but also as directly promoting endothelial cell activation, adhesion molecule expression, and resultant dysfunction.21 Our data further suggest that in the presence of hyperglycemia, hsCRP exerts harmful effects on atherosclerosis progression, particularly in diabetic subjects, even at subclinical stages.22 Although an association between hsCRP, hyperglycemia, and atherosclerosis has been described in clinical and experimental observations,23 the mechanisms through which hyperglycemia might strengthen the proatherogenic effects of hsCRP are not unequivocally clarified. Several findings suggest that hsCRP may be related to atherogenesis by diminishing nitric oxide.21 Interestingly, acute hyperglycemia also reduces nitric oxide bioavailability,24 pointing to the possibility that the combined effect of raised hsCRP concentrations and increased HbA1c may jointly reduce nitric oxide bioavailability.
Because a substantial part of incident MI and stroke is unaccounted for by traditional cardiovascular risk factors, there is a great need to find novel and preferably modifiable factors that can identify subjects at high risk.25 Considering the combined effect of HbA1c and hsCRP may help to more exactly identify and better treat these patients at high risk. Our data show that risk estimates for the progression of atherosclerosis associated with both HbA1c and CRP in the upper quartiles were at least as high as those associated with traditional risk factors and clearly indicate an increased risk for new major vascular events even in asymptomatic nondiabetic subjects. Because the risk was even greater in diabetic subjects, these findings underscore the importance of optimized diabetes control particular in diabetic subjects with elevated hsCRP levels. Recent findings demonstrate a regression of carotid atherosclerosis by control of postprandial hyperglycemia in type 2 diabetes26 and a joint effect of elevated CRP and HbA1c levels on poor outcome because of cardiovascular adverse events in patients with advanced atherosclerotic disease.7 It is obvious to suggest that treatment with statins targeting chronic inflammation may be particularly beneficial for these subjects.27 Furthermore, our data may explain the beneficial effects of statin therapy on clinical end points, particularly in diabetic patients, as recently demonstrated in the Heart Protection Study and Collaborative Atorvastatin Diabetes Study.28,29
Our study has some limitations. The follow-up period of 2 years is relatively short, and the number of vascular events is therefore limited. However, the major strength of our study is the nearly complete follow-up (98.4%) and the fact that we were able to examine accepted surrogate markers (IMT) during follow-up in 3478 of 3534 of our subjects.
In conclusion, the combined occurrence of elevated HbA1c, indicating hyperglycemia, and elevated hsCRP, indicating low-level inflammation, is independently associated with an advanced subclinical carotid atherosclerosis progression and an increased incidence of new vascular events.
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Acknowledgments |
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The Bavarian health insurance company AOK funded this work.
Received August 20, 2005; revision received September 29, 2005; accepted November 2, 2005.
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References |
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TopAbstractIntroductionMethodsResultsDiscussionReferences |
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- Zhu J, Quyyumi AA, Norman JE, Csako G, Waclawiw MA, Shearer GM, Epstein SE. Effects of total pathogen burden on coronary artery disease risk and C-reactive protein levels. Am J Cardiol. 2000; 85: 140–146.[CrossRef][Medline] [Order article via Infotrieve]
- Koenig W, Lowel H, Baumert J, Meisinger C. C-reactive protein modulates risk prediction based on the Framingham score: implications for future risk assessment: results from a large cohort study in southern Germany. Circulation. 2004; 109: 1349–1353.
[Abstract/Free Full Text] - Sander D, Winbeck K, Klingelhofer J, Etgen T, Conrad B. Progression of early carotid atherosclerosis is only temporarily reduced after antibiotic treatment of Chlamydia pneumoniae seropositivity. Circulation. 2004; 109: 1010–1015.
[Abstract/Free Full Text] - Van Der Meer IM, De Maat MP, Hak AE, Kiliaan AJ, Del Sol AI, Van Der Kuip DA, Nijhuis RL, Hofman A, Witteman JC. C-reactive protein predicts progression of atherosclerosis measured at various sites in the arterial tree: the Rotterdam Study. Stroke. 2002; 33: 2750–2755.
[Abstract/Free Full Text] - Gerstein HC, Anand S, Yi QL, Vuksan V, Lonn E, Teo K, Malmberg K, McQueen M, Yusuf S. The relationship between dysglycemia and atherosclerosis in South Asian, Chinese, and European individuals in Canada: a randomly sampled cross-sectional study. Diabetes Care. 2003; 26: 144–149.
[Abstract/Free Full Text] - Khaw KT, Wareham N, Bingham S, Luben R, Welch A, Day N. Association of hemoglobin A1c with cardiovascular disease and mortality in adults: the European Prospective Investigation into Cancer in Norfolk. Ann Intern Med. 2004; 141: 413–420.
[Abstract/Free Full Text] - Schillinger M, Exner M, Amighi J, Mlekusch W, Sabeti S, Rumpold H, Wagner O, Minar E. Joint effects of C-reactive protein and glycated hemoglobin in predicting future cardiovascular events of patients with advanced atherosclerosis. Circulation. 2003; 108: 2323–2328.
[Abstract/Free Full Text] - Hollander M, Hak AE, Koudstaal PJ, Bots ML, Grobbee DE, Hofman A, Witteman JCM, Breteler MMB. Comparison between measures of atherosclerosis and risk of stroke: the Rotterdam Study. Stroke. 2003; 34: 2367–2372.
[Abstract/Free Full Text] - Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, Jones DW, Materson BJ, Oparil S, Wright JT Jr, Roccella EJ. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension. 2003; 42: 1206–1252.
[Abstract/Free Full Text] - Alpert JS, Thygesen K, Antman E, Bassand JP. Myocardial infarction redefined: a consensus document of the Joint European Society of Cardiology/American College of Cardiology Committee for the Redefinition of Myocardial Infarction. J Am Coll Cardiol. 2000; 36: 959–969.
[Free Full Text] - Adams H, Adams R, Del Zoppo G, Goldstein LB. Guidelines for the early management of patients with ischemic stroke: 2005 guidelines update: a scientific statement from the Stroke Council of the American Heart Association/American Stroke Association. Stroke. 2005; 36: 916–923.
[Free Full Text] - Sander D, Kukla C, Klingelhofer J, Winbeck K, Conrad B. Relationship between circadian blood pressure patterns and progression of early carotid atherosclerosis: a 3-year follow-up study. Circulation. 2000; 102: 1536–1541.
[Abstract/Free Full Text] - Winbeck K, Kukla C, Poppert H, Klingelhofer J, Conrad B, Sander D. Elevated C-reactive protein is associated with an increased intima to media thickness of the common carotid artery. Cerebrovasc Dis. 2002; 13: 57–63.[CrossRef][Medline] [Order article via Infotrieve]
- Magyar MT, Szikszai Z, Balla J, Valikovics A, Kappelmayer J, Imre S, Balla G, Jeney V, Csiba L, Bereczki D. Early-onset carotid atherosclerosis is associated with increased intima-media thickness and elevated serum levels of inflammatory markers. Stroke. 2003; 34: 58–63.
[Abstract/Free Full Text] - Sitzer M, Markus HS, Mendall MA, Liehr R, Knorr U, Steinmetz H. C-reactive protein and carotid intimal medial thickness in a community population. J Cardiovasc Risk. 2002; 9: 97–103.[CrossRef][Medline] [Order article via Infotrieve]
- Hashimoto H, Kitagawa K, Hougaku H, Shimizu Y, Sakaguchi M, Nagai Y, Iyama S, Yamanishi H, Matsumoto M, Hori M. C-reactive protein is an independent predictor of the rate of increase in early carotid atherosclerosis. Circulation. 2001; 104: 63–67.
[Abstract/Free Full Text] - Schillinger M, Exner M, Mlekusch W, Sabeti S, Amighi J, Nikowitsch R, Timmel E, Kickinger B, Minar C, Pones M, Lalouschek W, Rumpold H, Maurer G, Wagner O, Minar E. Inflammation and Carotid Artery—Risk for Atherosclerosis Study (ICARAS). Circulation. 2005; 111: 2203–2209.
[Abstract/Free Full Text] - Vitelli LL, Shahar E, Heiss G, McGovern PG, Brancati FL, Eckfeldt JH, Folsom AR. Glycosylated hemoglobin level and carotid intimal-medial thickening in nondiabetic individuals: the Atherosclerosis Risk in Communities Study. Diabetes Care. 1997; 20: 1454–1458.[Abstract]
- Jorgensen L, Jenssen T, Joakimsen O, Heuch I, Ingebretsen OC, Jacobsen BK. Glycated hemoglobin level is strongly related to the prevalence of carotid artery plaques with high echogenicity in nondiabetic individuals: the Tromso Study. Circulation. 2004; 110: 466–470.
[Abstract/Free Full Text] - Selvin E, Marinopoulos S, Berkenblit G, Rami T, Brancati FL, Powe NR, Golden SH. Meta-analysis: glycosylated hemoglobin and cardiovascular disease in diabetes mellitus. Ann Intern Med. 2004; 141: 421–431.
[Abstract/Free Full Text] - Verma S, Wang CH, Li SH, Dumont AS, Fedak PW, Badiwala MV, Dhillon B, Weisel RD, Li RK, Mickle DA, Stewart DJ. A self-fulfilling prophecy: C-reactive protein attenuates nitric oxide production and inhibits angiogenesis. Circulation. 2002; 106: 913–919.
[Abstract/Free Full Text] - Devaraj S, Xu DY, Jialal I. C-reactive protein increases plasminogen activator inhibitor-1 expression and activity in human aortic endothelial cells: implications for the metabolic syndrome and atherothrombosis. Circulation. 2003; 107: 398–404.
[Abstract/Free Full Text] - Ridker PM, Buring JE, Cook NR, Rifai N. C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: an 8-year follow-up of 14 719 initially healthy American women. Circulation. 2003; 107: 391–397.
[Abstract/Free Full Text] - Giugliano D, Marfella R, Coppola L, Verrazzo G, Acampora R, Giunta R, Nappo F, Lucarelli C, D’Onofrio F. Vascular effects of acute hyperglycemia in humans are reversed by L-arginine: evidence for reduced availability of nitric oxide during hyperglycemia. Circulation. 1997; 95: 1783–1790.
[Abstract/Free Full Text] - Ridker PM. High-sensitivity C-reactive protein, inflammation, and cardiovascular risk: from concept to clinical practice to clinical benefit. Am Heart J. 2004; 148: S19–S26.[CrossRef][Medline] [Order article via Infotrieve]
- Esposito K, Giugliano D, Nappo F, Marfella R. Regression of carotid atherosclerosis by control of postprandial hyperglycemia in type 2 diabetes mellitus. Circulation. 2004; 110: 214–219.
[Abstract/Free Full Text] - Albert MA, Danielson E, Rifai N, Ridker PM. Effect of statin therapy on C-reactive protein levels: the Pravastatin Inflammation/CRP Evaluation (PRINCE): a randomized trial and cohort study. JAMA. 2001; 286: 64–70.
[Abstract/Free Full Text] - Collins R, Armitage J, Parish S, Sleigh P, Peto R. MRC/BHF Heart Protection Study of cholesterol-lowering with simvastatin in 5963 people with diabetes: a randomised placebo-controlled trial. Lancet. 2003; 361: 2005–2016.[CrossRef][Medline] [Order article via Infotrieve]
- Colhoun HM, Betteridge DJ, Durrington PN, Hitman GA, Neil HA, Livingstone SJ, Thomason MJ, Mackness MI, Charlton-Menys V, Fuller JH. Primary prevention of cardiovascular disease with atorvastatin in type 2 diabetes in the Collaborative Atorvastatin Diabetes Study (CARDS): multicentre randomised placebo-controlled trial. Lancet. 2004; 364: 685–696.[CrossRef][Medline] [Order article via Infotrieve]
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