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Assessment and Treatment of Cardiovascular Risk in Prediabetes: Impaired Glucose Tolerance and Impaired Fasting Glucose Ralph A. DeFronzo, MD,* and Muhammad Abdul-Ghani, MD, PhD Individuals with impaired glucose tolerance (IGT) and/or impaired fasting glucose (IFG) are at high risk, not only to develop diabetes mellitus, but also to experience an adverse cardiovascular (CV) event (myocardial infarction, stroke, CV death) later in life. The underlying pathophysiologic disturbances (insulin resistance and impaired -cell function) responsible for the development of type 2 diabetes are maximally/ near maximally expressed in subjects with IGT/IFG. These individuals with so-called prediabetes manifest all of the same CV risk factors (dysglycemia, dyslipidemia, hypertension, obesity, physical inactivity, insulin resistance, procoagulant state, en- dothelial dysfunction, inflammation) that place patients with type 2 diabetes at high risk for macrovascular complications. The treatment of these CV risk factors should follow the same guidelines established for patients with type 2 diabetes, and should be aggressively followed to reduce future CV events. © 2011 Elsevier Inc. All rights reserved. (Am J Cardiol 2011;108[suppl]:3B–24B) “Prediabetes” is a general term that refers to an intermediate stage between normal glucose tolerance (NGT) and overt type 2 diabetes mellitus. As such, it represents 2 groups of individuals, those with impaired glucose tolerance (IGT) and those with impaired fasting glucose (IFG). IGT and IFG often are lumped together, but they have distinct pathophys- iologic etiologies. According to the American Diabetes As- sociation (ADA), 1 individuals with isolated IGT have a fasting plasma glucose (FPG) concentration 100 mg/dL [1 mg/dL 0.05555 mmol/L] and a 2-hour plasma glucose (PG) concentration, measured by a 75-g oral glucose toler- ance test (OGTT), ranging between 140 mg/dL and 200 mg/dL. Individuals with isolated IFG have a 2-hour PG (measured by an OGTT) of 140 mg/dL and a FPG be- tween 100 mg/dL and 126 mg/dL. Subjects with iso- lated IGT have moderate-to-severe insulin resistance in muscle and impaired first- and second-phase insulin secre- tion, while individuals with IFG have moderate insulin resistance in the liver, impaired first-phase insulin secretion, and normal/near-normal muscle insulin sensitivity. 2–6 Sub- jects with IGT or IFG are at high risk for developing both type 2 diabetes 7–17 and clinically significant atherosclerotic cardiovascular disease (ASCVD). 18 –36 Most, 20,21,24 but not all 28 studies have shown that IGT is stronger than IFG as a predictor of macrovascular complications. In a meta-analy- sis of 20 studies including 95,783 nondiabetic subjects with a mean follow-up of 12.4 years, Coutinho and colleagues 37 recorded 3,707 cardiovascular (CV) events. An exponential correlation between CV events and both FPG and postload PG concentration was found, and this relationship ex- tended below diagnostic blood glucose levels (Figure 1). 37 In the Diabetes Epidemiology: Collaborative Anal- ysis of Diagnostic Criteria in Europe (DECODE), 19,20 Hoorn, 34 DECODA (Diabetes Epidemiology: Collaborative Analysis of Diagnostic Criteria in Asia), 33 and Funagata Dia- betes 32 studies, CV mortality in subjects with IGT was close to that of individuals with overt type 2 diabetes and much greater than in subjects with IFG. Prediabetes and Type 2 Diabetes Mellitus: Are They Different? The natural history of type 2 diabetes has been well de- scribed in multiple populations and has been reviewed by DeFronzo. 38,39 Individuals destined to develop type 2 dia- betes inherit a set of genes from their parents that make their tissues resistant to insulin. 38–46 In the liver, the insulin resistance is manifest by an overproduction of glucose during the basal state despite the presence of fasting hyperinsulinemia 47 and an impaired suppression of hepatic glucose production in response to insulin, as occurs follow- ing a meal. 48 In muscle 43,49,50 insulin resistance is manifest by impaired glucose uptake after ingestion of a carbohy- drate-rich meal and results in postprandial hyperglycemia. 48 Although the origins of the insulin resistance can be traced to their genetic background, 39,41,44 the epidemic of diabetes that has enveloped westernized countries is related to the epidemic of obesity and physical inactivity. 51 Both obesity 52 Diabetes Division, University of Texas Health Science Center, San Antonio, Texas, USA. Publication of this supplement was supported by funding from Novo Nordisk. Editorial support was provided by Dr. Ruth Kleinpell and Mary Lou Briglio. Statement of author disclosure: Please see the Author Disclosures section at the end of this article. *Address for reprints: Ralph A. DeFronzo, MD, Diabetes Division, University of Texas Health Science Center, 7703 Floyd Curl Drive, San Antonio, Texas 78229. E-mail address: [email protected]. 0002-9149/11/$ – see front matter © 2011 Elsevier Inc. All rights reserved. www.AJConline.org doi:10.1016/j.amjcard.2011.03.013

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Assessment and Treatment of Cardiovascular Risk in Prediabetes:Impaired Glucose Tolerance and Impaired Fasting Glucose

Ralph A. DeFronzo, MD,* and Muhammad Abdul-Ghani, MD, PhD

Individuals with impaired glucose tolerance (IGT) and/or impaired fasting glucose(IFG) are at high risk, not only to develop diabetes mellitus, but also to experience anadverse cardiovascular (CV) event (myocardial infarction, stroke, CV death) later inlife. The underlying pathophysiologic disturbances (insulin resistance and impaired�-cell function) responsible for the development of type 2 diabetes are maximally/near maximally expressed in subjects with IGT/IFG. These individuals with so-calledprediabetes manifest all of the same CV risk factors (dysglycemia, dyslipidemia,hypertension, obesity, physical inactivity, insulin resistance, procoagulant state, en-dothelial dysfunction, inflammation) that place patients with type 2 diabetes at highrisk for macrovascular complications. The treatment of these CV risk factors shouldfollow the same guidelines established for patients with type 2 diabetes, and shouldbe aggressively followed to reduce future CV events. © 2011 Elsevier Inc. All rights

reserved. (Am J Cardiol 2011;108[suppl]:3B–24B)

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“Prediabetes” is a general term that refers to an intermediatestage between normal glucose tolerance (NGT) and overttype 2 diabetes mellitus. As such, it represents 2 groups ofindividuals, those with impaired glucose tolerance (IGT)and those with impaired fasting glucose (IFG). IGT and IFGoften are lumped together, but they have distinct pathophys-iologic etiologies. According to the American Diabetes As-sociation (ADA),1 individuals with isolated IGT have aasting plasma glucose (FPG) concentration �100 mg/dL [1g/dL � 0.05555 mmol/L] and a 2-hour plasma glucose

(PG) concentration, measured by a 75-g oral glucose toler-ance test (OGTT), ranging between �140 mg/dL and �200mg/dL. Individuals with isolated IFG have a 2-hour PG(measured by an OGTT) of �140 mg/dL and a FPG be-tween �100 mg/dL and �126 mg/dL. Subjects with iso-lated IGT have moderate-to-severe insulin resistance inmuscle and impaired first- and second-phase insulin secre-tion, while individuals with IFG have moderate insulinresistance in the liver, impaired first-phase insulin secretion,and normal/near-normal muscle insulin sensitivity.2–6 Sub-jects with IGT or IFG are at high risk for developing bothtype 2 diabetes7–17 and clinically significant atheroscleroticardiovascular disease (ASCVD).18–36 Most,20,21,24 but not

all28 studies have shown that IGT is stronger than IFG as a

Diabetes Division, University of Texas Health Science Center, SanAntonio, Texas, USA.

Publication of this supplement was supported by funding from NovoNordisk. Editorial support was provided by Dr. Ruth Kleinpell and MaryLou Briglio.

Statement of author disclosure: Please see the Author Disclosuresection at the end of this article.

*Address for reprints: Ralph A. DeFronzo, MD, Diabetes Division,niversity of Texas Health Science Center, 7703 Floyd Curl Drive, Sanntonio, Texas 78229.

E-mail address: [email protected].

002-9149/11/$ – see front matter © 2011 Elsevier Inc. All rights reserved.doi:10.1016/j.amjcard.2011.03.013

redictor of macrovascular complications. In a meta-analy-is of 20 studies including 95,783 nondiabetic subjects withmean follow-up of 12.4 years, Coutinho and colleagues37

recorded 3,707 cardiovascular (CV) events. An exponentialcorrelation between CV events and both FPG and postloadPG concentration was found, and this relationship ex-tended below diagnostic blood glucose levels (Figure1).37 In the Diabetes Epidemiology: Collaborative Anal-ysis of Diagnostic Criteria in Europe (DECODE),19,20

Hoorn,34 DECODA (Diabetes Epidemiology: CollaborativeAnalysis of Diagnostic Criteria in Asia),33 and Funagata Dia-betes32 studies, CV mortality in subjects with IGT was close tohat of individuals with overt type 2 diabetes and much greaterhan in subjects with IFG.

rediabetes and Type 2 Diabetes Mellitus:re They Different?

he natural history of type 2 diabetes has been well de-cribed in multiple populations and has been reviewed byeFronzo.38,39 Individuals destined to develop type 2 dia-etes inherit a set of genes from their parents that make theirissues resistant to insulin.38–46 In the liver, the insulin

resistance is manifest by an overproduction of glucoseduring the basal state despite the presence of fastinghyperinsulinemia47and an impaired suppression of hepaticglucose production in response to insulin, as occurs follow-ing a meal.48 In muscle43,49,50 insulin resistance is manifesty impaired glucose uptake after ingestion of a carbohy-rate-rich meal and results in postprandial hyperglycemia.48

Although the origins of the insulin resistance can be tracedto their genetic background,39,41,44 the epidemic of diabetesthat has enveloped westernized countries is related to the

epidemic of obesity and physical inactivity.51 Both obesity52

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and decreased physical activity53 are insulin-resistant statesnd, when added to the genetic burden of the insulin resis-ance, place a major stress on the pancreatic �-cells to

augment their secretion of insulin to offset the defect in insulinaction.43 As long as the �-cells are able to augment theirsecretion of insulin sufficiently to offset the insulin resistance,glucose tolerance remains normal.54 However, with time, post-meal glucose levels and subsequently FPG concentration beginto rise, leading to the onset of overt diabetes. Collectively, the

Figure 2. Natural history of type 2 diabetes mellitus. The plasma insulinresponse (open circles) depicts the classic Starling’s curve of the pancreas.1

Closed circles � insulin-mediated glucose uptake (top panel). DIAB �iabetes; Hi INS � high insulin secretion; IGT � impaired glucoseolerance; Lo INS � low insulin secretion; NGT � normal glucose toler-nce; OB � obese; OGTT � oral glucose tolerance test. (Reprinted with

Figure 1. Relation between cardiovascular events and fasting and postloadplasma glucose concentrations in a meta-analysis of 20 studies including95,783 nondiabetic subjects with a mean follow up of 12.4 years. Thecurves and 95% confidence intervals are shown. (Reprinted with permis-sion from The American Diabetes Association.37)

rermission from The American Diabetes Association.39)

insulin resistance in muscle and liver and �-cell failure havebeen referred to as “the triumvirate.”55

As illustrated in Figure 2,39 individuals with NGT whore destined to develop type 2 diabetes already manifestoderate-to-severe insulin resistance, which is genetic in

rigin and made worse by accompanying obesity and phys-cal inactivity. Although the transition from NGT to IGT isssociated with a worsening of the insulin resistance, glu-ose tolerance is only mildly impaired because of the com-ensatory increase in insulin secretion and resultant hyper-nsulinemia. However, plasma insulin levels should not bequated with �-cell function. The �-cell responds to an

incremental change in glucose with an incremental changein insulin, and this response is modulated by the severity ofinsulin resistance.2–6,39,56 Therefore, the “gold standard”ormula for �-cell function is �I/�G � IR (where �I rep-

resents an incremental change in insulin, �G is the incre-mental change in glucose, and IR is insulin resistance). Asshown in Figure 3,39 individuals in the upper tertile of NGT(2-hour PG � 120–139 mg/dL) have a loss of �50% oftheir �-cell function, compared with a loss of 70%–80% forndividuals in the upper tertile of IGT (2-hour PG � 180–99 mg/dL). Thus, from the pathophysiologic standpoint,ubjects with IGT should be considered to have type 2iabetes. In a postmortem analysis, Butler et al57 have

shown that individuals with IFG have a 50% decrease in�-cell volume, suggesting that there is a significant loss of�-cell mass in the prediabetic state, long before the onset ofovert type 2 diabetes.

The recently published results of the Diabetes PreventionProgram (DPP)58 have raised further concern about thelinical implications of the term “prediabetes.” In the DPP,ndividuals who entered with a diagnosis of IGT and stillad IGT 3 years later had a 7.9% incidence of backgroundiabetic retinopathy at the time of study end. Individuals,ho entered the DPP with IGT but who progressed toiabetes after 3 years, had a 12.6% incidence of diabetic

Figure 3. Insulin secretion/insulin resistance (disposition) index (defined aschange in insulin/change in glucose � insulin resistance [�INS/�GLU �IR]) in individuals with normal glucose tolerance (NGT), impaired glucosetolerance (IGT), and type 2 diabetes mellitus (T2DM) as a function of the2-hour plasma glucose (PG) concentration in lean (closed circles) andobese (open circles) subjects. (Reprinted with permission from The Amer-ican Diabetes Association.39)

etinopathy at the end of study. Moreover, these individ-

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uals who remained with IGT or who progressed to dia-betes developed diabetic retinopathy with hemoglobin A1c

(HbA1c) levels of 5.9% and 6.1%, respectively, values muchlower than the current ADA treatment goal of 7.0%. Pe-ripheral neuropathy also is a common finding in IGT, oc-curring in as many as 5%–10% of patients.59,60

In summary, individuals with IGT are maximally or nearmaximally insulin resistant, have lost 80% of their �-cellunction, and have an approximate 10% incidence of dia-etic retinopathy. By both pathophysiologic and clinicaltandpoints, these individuals with prediabetes who haveGT should be considered to have type 2 diabetes. Thelinical implications of these findings for the prevention ofype 2 diabetes and associated complications are that thehysician must intervene early, at the stage of IGT or IFG,ith interventions that target pathogenic mechanismsnown to cause �-cell failure and insulin resistance. From

the standpoint of cardiovascular disease (CVD), it is equallyimportant for the physician to recognize that IGT and type2 diabetes are CV risk equivalents (see subsequent discus-sion).

Impaired Glucose Tolerance and Type 2 DiabetesMellitus Are Major Cardiovascular Risk Factors

Although microvascular complications are a major cause ofmorbidity in type 2 diabetes, macrovascular complicationsrepresent the primary cause of mortality, with heart attacksand stroke accounting for �80% of all deaths.61 In patients

ith type 2 diabetes without a prior history of myocardialnfarction (MI), the 7-year incidence of MI is equal to orreater than the 7-year incidence of heart attack in nondia-etic individuals with prior MI.62 In patients with diabetesith a previous history of heart attack, the 7-year incidencef subsequent MI is more than double that for nondiabeticndividuals.62 Similarly, the recurrence rate of major ath-rosclerotic events in patients with type 2 diabetes with arior CV event is very high, around 6% per year.63 Theseesults document that diabetes is a major CV risk equiva-ent.

The DECODE study19,20,64,65 analyzed databases fromultiple European populations and concluded that peopleith type 2 diabetes had twice the risk for CVD (including

oronary artery disease [CAD] and stroke) compared withondiabetic individuals, after adjustment for other CV riskactors. Furthermore, DECODE demonstrated that the rela-ion between glycemia and CV risk started within the nor-al blood glucose range, with a linear relationship and no

vidence of a threshold effect.19,20 Both the FPG and post-hallenge PG levels were correlated with CV risk (Figure),19 although the strongest correlation was with the post-

prandial glucose level; addition of the FPG level to thepostprandial glucose level did not further increase the risk.Similar observations have been reported in the Framing-

ham Offspring Study66 and the Hoorn Study.34 The Fu- N

agata Study also showed a higher CV mortality rate inersons with IGT compared with individuals with IFG.32

Similar results have been published by the DECODAStudy Group21 in Asian populations. Multiple cohort stud-ies27,67–69 have demonstrated an increased CV risk in sub-ects with IGT, although the later studies did not comparehese subjects with individuals with IFG. In a recentlyublished Austrian Study of 1,040 patients who underwentoronary arteriography for suspected/established CAD andho were followed for a mean of 3.8 years, CV event-free

urvival was similar in individuals with IGT and with newlyiagnosed type 2 diabetes, and both were significantlyreater compared with individuals with NGT (Figure 5).70

The progression of abnormal glucose metabolism fromNGT to IGT to type 2 diabetes in 5,000 patients withestablished with CAD in the Euro Heart Survey71 also wasssociated with worsening CV prognosis. After 1 year ofollow up, all-cause mortality was 2.2% in patients with

Figure 4. Cumulative hazard curves for cardiovascular disease based on theAmerican Diabetes Association (ADA) fasting glucose criteria and WorldHealth Association (WHO) 2-hour glucose criteria adjusted by age, sex,and study center. (Reprinted with permission from Elsevier, Inc.19)

GT, 2.7%–3.7% in subjects with IGT/IFG, 5.5% in pa-

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tients with newly diagnosed type 2 diabetes, and 7.7% inpatients with known diabetes. A notable exception to thegreater CV risk in patients with IGT compared with IFG isthe Australian Diabetes Study.36 Although, after 6 years offollow up, individuals with IGT had a higher cumulativeincidence of all-cause mortality compared with individualswith IFG, the incidence of CVD mortality was similar in the2 groups and was higher for both compared with subjectswith NGT.

Several potential explanations could account for thehigher rates of CVD in subjects with IGT compared withIFG. First, postprandial hyperglycemia contributes more tothe overall day-long glycemic exposure in individuals withIGT compared with IFG.2,3,72 Second, individuals with IGThave a higher prevalence of the metabolic syndrome,73–81 aluster of abnormalities including central obesity dyslipide-ia, hypertension, and dysglycemia, that by itself increases

he risk for ASCVD.82–84 Third, postprandial blood glucoseoncentrations are associated with the highest diurnal levelsf glycemia and the greatest fluctuations in blood glucoseoncentrations that may have a more damaging effect on theasculature,85–90 including increased oxidative stress, acti-ation of inflammatory pathways, increased procoagulanttate, and abnormal vasomotion.

ncidence of Prediabetes and Diabetes Mellitus inndividuals with Coronary Artery Disease

he prevalence of previously unrecognized postchallengeyperglycemia (IGT and type 2 diabetes) in patients under-oing coronary angiography exceeds 60%,91–96 and the se-erity of postchallenge hyperglycemia correlates closelyith the extent of angiographically determined CAD91 andith future macrovascular events and total mortality.36 The

Figure 5. Event-free survival with respect to glycemic state in 1,040patients who underwent coronary arteriography for suspected/establishedcoronary artery disease. IGT � impaired glucose tolerance; NGT � normalglucose tolerance. (Reprinted with permission from Oxford UniversityPress.70)

IGAMI (Diabetes Insulin Glucose and Myocardial Infarc-

ion) Study94 examined the prevalence of dysglycemia(OGTT performed at hospital discharge) in 164 patientsadmitted to the hospital with an acute MI, with assessmentrepeated 4–5 days later (n � 164) and 3 months later (n �44). Prediabetes and newly diagnosed type 2 diabetes,espectively, were diagnosed in 35% and 31% of patients.he similar incidence of abnormal glucose tolerance de-

ected 3 months later excluded acute illness and increasedympathetic tone as the cause of the disturbance in glucoseetabolism. Similar findings have been reported in 3 longer

tudies, the 25-country Euro Heart Survey,93 the ChinaHeart Survey,96 and a study from Austria.36

In summary, �60% of individuals with previously un-diagnosed prediabetes or diabetes who experience an MI orcome to coronary catheterization because of suspected CADhave IGT, IFG, or type 2 diabetes. Because of this very highincidence of dysglycemia, it is recommended that all pa-tients with acute MI and new-onset angina or CAD shouldhave a 75-g, 2-hour OGTT. Individuals with stable chronicCAD also should have an OGTT to exclude underlyingprediabetes/diabetes.

Assessing Cardiovascular Risk and the Need forScreening in Patients with Prediabetes

There are no prospective studies that have evaluated whichasymptomatic individuals with prediabetes should bescreened for CAD. However, because prediabetes, like overttype 2 diabetes, is a CV risk equivalent, it is reasonable touse the same criteria applied to diabetes. Recently, theADA97 revised its 1998 Consensus Conference Guidelines98

about screening for diabetes because of failure of studies todemonstrate that the load of traditional risk factors predictedinducible ischemia in nuclear or echocardiographic myocar-dial perfusion studies.99,100 Moreover, efforts using datarom the Framingham study and the United Kingdom Pro-pective Diabetes Study (UKPDS) have proved only mod-stly successful.101

In the absence of symptomatic CAD, clinical featuresthat identify patients with diabetes at increased risk for MIor cardiac death include clinical evidence of ASCVD in-volving the lower extremity, cerebral, or renal arteries,102,103

microalbuminuria,104,105 abnormal electrocardiogram (Q-aves, T-wave inversion, left bundle branch block),106,107

autonomic neuropathy,108 retinopathy,109 age, and sex. Al-though CAD screening studies in patients with type 2 dia-betes have failed to establish an association between thenumber of CV risk factors and inducible ischemic onperfusion imaging,100 multiple risk factors (hypertension,dyslipidemia, obesity [especially visceral], smoking,physical inactivity, evidence of inflammation, insulin re-sistance) in the same individual markedly increase thelikelihood of experiencing a CV event.74 –77,80,81 Becauseprediabetes and type 2 diabetes are part of a continuous

spectrum, it is not unreasonable to assume that these
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same abnormalities predict increased CV risk in individ-uals with prediabetes.

Although the presence of multiple CV risk factors doesnot identify individuals at risk for inducible ischemia onperfusion imaging, it does identify people at high risk for asubsequent coronary event. Consistent with this, autopsystudies in type 2 diabetes have demonstrated severe multi-vessel coronary atherosclerosis even in asymptomatic indi-viduals.110 Subjects with the metabolic syndrome, the ma-ority of whom have some form of dysglycemia,111 are at

increased risk for type 2 diabetes and CVD, accounting forup to half of new cases of type 2 diabetes and up to one thirdof new CVD cases over 8 years of follow up.112,113 Thus, its reasonable to consider individuals with prediabetes withultiple CV risk factors at high risk for CVD, and they

hould receive aggressive multifactorial intervention (seeubsequent discussion), which has been shown to be effec-ive in reducing CV events in patients with type 2 diabetesn the Steno-2,114,115 Clinical Outcomes Utilizing Revascu-

larization and Aggressive Drug Evaluation (COUR-AGE),116 and Multiple Risk Factor Intervention TrialMRFIT)117 studies. If screening is to be undertaken in

subjects with prediabetes, newer CAD diagnostic modalitiesincluding computed tomographic angiography,118 coronaryartery calcium score using electron-beam or multislice tech-nology,119,120 or cardiac magnetic resonance imaging is rec-ommended.121

The recently reported results of the DPP in the UnitedStates provide support for the approach advocated above.81

In the DPP 3,324 individuals with IGT were randomized tointensive lifestyle modification, metformin, or placebo. CVrisk factors (high-density lipoprotein [HDL] cholesterol[HDL-C], systolic/diastolic blood pressure, triglycerides[TG], and low-density lipoprotein [LDL] particle size)worsened as glucose tolerance status deteriorated from IGTto type 2 diabetes and improved with reversion to NGT,especially in the lifestyle intervention group. Based onchanges in risk factor levels, the incremental risk associatedwith conversion to diabetes was quite modest. Of note, CVrisk factors were associated with glycemia in a linear fash-ion, without any unique effect of conversion to diabetes.Moreover, most of the increased CV risk, based on thesetraditional risk factors, was well established at the stage ofIGT. Similarly, nondiabetic (NGT and IGT) participants inthe San Antonio Heart Study (SAHS) who developed type 2diabetes over an 8-year follow-up period had higher total/LDL cholesterol (LDL-C) and TG concentrations, systolicand diastolic blood pressure, and body mass index (BMI),and lower HDL-C levels than subjects who did not developdiabetes.77 Based on these observations, the SAHS investi-ators put forward the “ticking clock” hypothesis, whichtates that the clock for CAD starts to tick long before thenset of overt diabetes (Figure 6). The Nurses Healthtudy122 and the Botnia Study80 also demonstrated the pres-

ence of abnormal CV risk factors long before the develop-

ment of overt diabetes.

In summary, multiple studies demonstrate that individu-als with prediabetes, especially those with multiple riskfactors for CVD, are at increased risk for a CV event overthe subsequent follow-up period of 10 years.

Insulin Resistance, Hyperinsulinemia, andAtherosclerotic Cardiovascular Disease:the Missing Links

Insulin and atherosclerosis: Insulin resistance and hy-perinsulinemia have been implicated as the missing links inthe increased risk for CVD.123 In vivo and in vitro studieshave demonstrated that insulin can promote atherogene-sis.124–126 Insulin enhances de novo lipogenesis and aug-ments hepatic very-low-density lipoprotein (VLDL) synthe-sis127,128 via stimulation of sterol regulatory element–binding protein-1c and inhibition of acetyl-coenzyme A–1carboxylase.129 In cultured arterial smooth muscle cells,nsulin increases LDL-C transport,130 augments collagenynthesis,131,132 stimulates arterial smooth muscle cell pro-iferation,133,134 and activates multiple genes involved innflammation.132 In vivo studies in dogs,135 rabbits,136 and

chickens137 provide further evidence that insulin promotesatherogenesis. Rats chronically infused with insulin, whilemaintaining euglycemia, become markedly resistant to thestimulation of glucose uptake and suppression of plasmafree fatty acids by insulin138 and become hypertensive.139

Two other points about hyperinsulinemia are noteworthy. Inhumans with NGT, insulin infusion to raise the fastingplasma insulin (FPI) from 57 to 104 pmol/L for 3 daysproduces severe insulin resistance,140,141 a risk factor forCVD (see subsequent discussion). Hyperinsulinemia andinsulin therapy are also associated with weight gain,142 andobesity is a major risk factor for CVD.143,144 Weight gainromotes atherogenesis via multiple mechanisms includingyslipidemia and hypertension, while fat deposition in therterial wall promotes inflammation, which directly accel-rates atherogenesis.145–147

Insulin resistance (metabolic) syndrome: Much evi-

Figure 6. Schematic representation of the ticking clock hypothesis. CAD �coronary artery disease; T2DM � type 2 diabetes mellitus.

dence indicates that insulin resistance per se and associated

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components of the insulin resistance (metabolic) syn-drome38–40 play a pivotal role in the development of ASCVD.t is noteworthy that individuals with prediabetes are asnsulin resistant as lean patients with type 2 diabetes andbese subjects with NGT (Figure 7).123 In fact, insulinesistance is fully established in the NGT offspring of 2arents with type 2 diabetes.40,43,45 In all of these groups,nsulin resistance primarily affects the glycogen syntheticathway (Figure 7).38–43,45,46,148,149 Type 2 diabetes61,62 andbesity143,144 are major CV risk factors, and it is not sur-

prising, therefore, that patients with prediabetes also are atincreased risk for CVD. A common thread linking all com-ponents of the insulin resistance syndrome is the basiccellular/molecular cause of the insulin resistance,40,123

which not only promotes inflammation and atherogenesisbut also leads to and/or aggravates other components of thesyndrome, which themselves are independent and majorCVD risk factors.

Insulin resistance is a central feature of the metabolic(insulin resistance) syndrome, and it primarily involves theglycogen synthetic pathway (Figure 7).150–152 Hypertensionalso is a well-established risk factor for CVD.153

Individuals with type 2 diabetes and obesity, as well assubjects with prediabetes, develop dyslipidemia character-ized by hypertriglyceridemia, reduced HDL-C, and small,dense atherogenic LDL particles.82–84,149,154–157 Hypertri-lyceridemia, but not hypercholesterolemia, is associatedith insulin resistance (Figure 7).154,157–159 The frequency

of hypercholesterolemia is not increased in patients withtype 2 diabetes.156 However, elevated LDL-C acts synergis-tically with other risk factors to accelerate atherogenesis.160

Studies by Bressler et al161 were the first to conclusivelydemonstrate that individuals with diffuse CAD were mark-edly insulin resistant compared with participants with NGT

Figure 7. Insulin-stimulated glucose disposal (40 mU/m2 per min, eugly-cemic-hyperinsulinemic clamp) in lean healthy control (CON) participants,obese participants with normal glucose tolerance (NGT), lean drug-naiveparticipants with type 2 diabetes mellitus (T2DM), lean participants withNGT and hypertension (HTN), participants with NGT and hypertriacylg-lycerolemia (Hypertriacyl), and nondiabetic participants with coronaryartery disease (CAD). White bar sections indicate nonoxidative glucosedisposal (glycogen synthesis); black bar sections indicate glucose oxida-tion. *p �0.01 vs CON; †p �0.001 vs CON. (With kind permission from

pringer Science�Business Media: Diabetologia, Insulin resistance, lipo-oxicity, type 2 diabetes and atherosclerosis: the missing links [the Claudeernard Lecture 2009], Volume 53, 2010, DeFronzo RA, Figure 1.123)

who had clean coronary arteries. Again, the insulin resis- i

tance primarily affected the glycogen synthetic pathway inskeletal muscle (Figure 7).161 Studies by Reaven149 and

aternostro and colleagues162 also have shown that nondi-betic individuals with established CAD are resistant tonsulin. The myocardium of nondiabetic individuals withAD and patients with type 2 diabetes without CAD also is

esistant to insulin.162–164

In summary, each component of the metabolic syndromeis characterized by insulin resistance involving the glycogensynthetic pathway (Figure 7). The insulin resistance is pres-ent at the stage of IGT,2,3 ie, prediabetes, even before anybnormality in glucose tolerance is observed43,45,46,165

and is an independent risk factor for CVD (see subse-quent discussion).

Insulin Resistance and the Insulin ResistanceSyndrome Predict Future Cardiovascular Disease

Multiple prospective studies, including the SAHS166 andthe Botnia Study,80 have demonstrated that insulin resis-ance in subjects with NGT predicts future CVD, evenfter adjustment for multiple CV risk factors. Each com-onent of the insulin resistance syndrome, as well asnsulin resistance per se, is associated with a 1.5- to-fold increase in the incidence of CVD. Similar obser-ations have been made in the Bruneck,167 Verona Dia-

betes,168 and Insulin Resistance Atherosclerosis StudiesIRAS).169 A strong relation between insulin resistancend carotid intima-media thickness—a surrogate measuref ASCVD—also been demonstrated,170 as has an asso-iation between insulin resistance and a greater CV riskactor load.171 The analysis by D’Agostino and col-

leagues172 of 6 prospective studies further supports anndependent role for insulin resistance in CVD. Using theramingham cardiovascular risk calculator,173 only 69%f the observed risk for CVD could be explained, leaving1% unaccounted for (Figure 8A).172 Similarly, in the

Atherosclerosis Risk in Communities (ARIC) Study (Fig-ure 8B),174 only �70% of the increase in carotid intima-media thickness could be accounted for by dyslipidemia,hypertension, glucose intolerance, or obesity. It is likelythat this unexplained risk can be attributed in part to theunderlying molecular etiology of insulin resistance,which involves impaired insulin signaling through theinsulin receptor substrate–1 (IRS-1)/phosphatidylinositol(PI) 3-kinase pathway and increased insulin signalingthrough the MAP kinase pathway.40,123

The molecular etiology of insulin resistance in skeletaland vascular smooth muscle cells is genetic in origin andcan be demonstrated in the lean NGT offspring of 2 parentswith type 2 diabetes.45,46,124 These offspring are at very highisk to develop type 2 diabetes and their tissues are beingncubated in a sea of molecular insulin resistance andtherogenicity from a very early stage of life. This explains,

n part, why clinically evident ASCVD is present in 5%–
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20% of individuals with type 2 diabetes at initial diagno-sis175 and why insulin resistance and ASCVD are so closelylinked.123

In summary, individuals with prediabetes manifest thesame molecular defect in insulin action as patients with type2 diabetes and obesity, placing them at increased risk forCVD.

Assessment and Treatment of Prediabetes: a RationalPathophysiologic and Cardiovascular RiskFactor–based Approach

Because prediabetes (IGT and IFG) and diabetes represent acontinuum of dysglycemia and CV risk, the same principlesthat apply to the assessment and treatment of type 2 diabetes

Figure 8. (A) Predictive value (%) of cardiovascular disease (CVD) usingthe Framingham risk calculator from Framingham Heart Study (FHS), theAtherosclerosis Risk in Community Study (ARIC), the Honolulu HeartProgram (HHP), the Puerto Rico Heart Health Program (PR), the StrongHeart Study (SHS), and the Cardiovascular Health Study (CHS). On mean,the Framingham Risk calculator predicts only 69% of the risk of a futurecardiovascular event. Amer � American; F � female; M � male.Adapted with and reprinted permission from JAMA.172 Copyright

(2001) American Medical Association. All rights reserved.) (B) Excessarotid intima-media thickness (IMT) in relation to the individual compo-ents of the insulin resistance syndrome (IRS) as listed. GLU � glucose;DL � high-density lipoprotein; HTN � hypertension; TG � triglycer-

des; 1 � increase; 2 � decrease. (With kind permission from Springercience�Business Media: Diabetologia, Insulin resistance, lipotoxicity,

ype 2 diabetes and atherosclerosis: the missing links [the Claude Bernardecture 2009], Volume 53, 2010, DeFronzo RA, Figure 1.123)

should apply to the prediabetic state (Table 1).

Dysglycemia: Subjects with IFG should have a formal2-hour OGTT, because �33% of these individuals will havetype 2 diabetes. Both individuals with IFG but without type2 diabetes and subjects with IGT should have a repeat FPGtest annually and a repeat OGTT every 1–2 years based onthe FPG results and the discretion of the physician.

Within the prediabetic range, both the FPG and 2-hourPG are independent risk factors for the development ofASCVD.19,20,32,34,37,64–81 In DECODE, the risk for CADnd stroke increased progressively from IFG to IGT to typediabetes,19,20 indicating that hyperglycemia is a continu-

ous risk factor for CV mortality.176 In the UKPDS, HbA1c

was the third greatest risk factor for CVD in type 2 diabe-tes.177 In MRFIT, CV mortality increased with an increasingumber of coexisting CV risk factors, and the risk wasagnified by concomitant hyperglycemia in subjects with

ype 2 diabetes.156,164 Similarly, in UKPDS178 a potent in-eraction between hyperglycemia and blood pressure to in-rease the risk of MI and stroke was documented. Thesebservations highlight the important role of dysglycemia asmajor risk factor for ASCVD.No CV intervention study has targeted the prediabetic

opulation specifically. However “tight” glycemic controln the extension of the UKPDS179 and DCCT180 demon-trated that treatment of hyperglycemia in patients withiabetes significantly decreased CV events181,182 In the Pro-

spective Pioglitazone Clinical Trial in Macrovascular Events(PROactive) trial,183,184 pioglitazone reduced the second prin-cipal endpoint of all-cause mortality, MI, and stroke in patientswith type 2 diabetes with a prior CV event, although the CVbenefit most likely was the result of combined improvementsin the HbA1c, dyslipidemia, blood pressure, and other inflam-matory markers that were not measured.

The results of the Study to Prevent Non–Insulin-Depen-dent Diabetes Mellitus (STOP-NIDDM) trial185 providesupport for the specific treatment of postprandial glucoselevels. This study, which demonstrated a 30% reduction inthe conversion rate of IGT to type 2 diabetes, was associated

able 1ardiovascular risk assessment in prediabetes (IGT/IFG)

● HyperglycemiaX FastingX Postprandial

● Obesity● Physical activity● Dyslipidemia

X HypercholesterolemiaXSmall dense LDL particlesX HypertriglyceridemiaX Low HDL cholesterolX Non-HDL cholesterol

● Hypertension● Procoagulant state● Endothelial dysfunction

● Inflammation
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with reductions in any CV event (by 49%), acute MI (by91%), and development of hypertension (by 34%).

Both IGT and IFG are major independent risk factors forthe development of type 2 diabetes, and individuals withcombined IGT and IFG are at especially high risk.7–17 Life-tyle intervention, including weight loss and increasedhysical activity,186–189 should be the mainstay of therapy in

individuals with IGT and/or IFG. Pharmacologic interven-tion185,186,190–198 also has been shown to be effective ineducing the conversion rate of IGT to type 2 diabetes. Inhe DPP studies in the United States186 and Finland (FIN-

D2D),187 lifestyle modification in subjects with IGT reducedhe conversion rate to diabetes by 62% and 58%, respec-ively. Other CV benefits also were noted in these studies,ncluding reduction in systolic/diastolic blood pressure,lasma TG, LDL-C, insulin, and C-reactive protein (CRP)evels and an increase in HDL-C. However, as has beenbserved with most weight loss programs, the majority ofhe lost weight was regained despite moderately intensiveollow-up programs in both the US and Finnish trials.199,200

In both the US DPP190 and Indian198 (IDPP) studies,etformin was effective in reducing the conversion of IGT

o type 2 diabetes, by 31% and 26%, respectively, but theecrease was only approximately half of that observed withifestyle changes. An ADA Consensus statement201 has rec-mmended use of metformin in high-risk (aged �60 years,MI �30, HbA1c �6.0%) patients with IGT.

The most impressive results preventing the conversion ofIGT to type 2 diabetes have been observed with the thiazo-lidinedione (TZD) class of drugs, which consistently havereduced the conversion rate of IGT to type 2 diabetes by50%–70%.191–194 In ACT NOW (Actos Now for the Pre-vention of Diabetes), the conversion rate of IGT to type 2diabetes was reduced by 72% with pioglitazone, and 48% ofIGT individuals reverted to NGT. Significant reductions inblood pressure, TG levels, and rate of progression of carotidintima-media thickness, and an increase in HDL-C alsowere observed. Although the glycemic benefits of the TZDsare clearly established, physicians must be cognizant oftheir potential side effects including fluid retention andbone fractures. Although concern has been raised aboutthe CV safety of rosiglitazone,202 both PROactive183,184

and a meta-analysis203 have shown that pioglitazone doesnot increase CV events and, to the contrary, improves CVDoutcomes. Although weight gain commonly is observedwith the TZDs, the greater the weight gain is, the greateralso is the decline in HbA1c, the improvement in insulinsensitivity, and the improvement in �-cell function.204,205

Thus, the TZD-related weight gain primarily represents acosmetic concern. The results of the CANOE (CanadianNormoglycemia Outcomes Evaluation) study,195 whichevaluated the use of low-dose combination therapy withrosiglitazone (2 mg/day) plus metformin (1,000 mg/day),are especially encouraging. The conversion rate of IGT totype 2 diabetes was reduced by 66% without weight gain or

fluid retention. Because of the CV safety issues with rosigli- I

tazone, low-dose pioglitazone (15–30 mg/day) plus met-formin (500–1,000 mg/day) represents a logical choice forthe treatment of IGT when lifestyle intervention fails toachieve the desired effect. However, it should be empha-sized that, at present, the US Food and Drug Administration(FDA) has not approved any pharmacologic therapy for thetreatment of IGT or IFG.

Obesity: As part of the assessment of individuals withIGT and IFG, body weight (on every visit) and heightshould be recorded and BMI calculated. It also is recom-mended that waist circumference be measured.206

Obesity, especially visceral obesity, is a major risk factorfor ASCVD.143,144 It also is associated with moderate-to-evere insulin resistance, is the driving force behind thelobal epidemic of type 2 diabetes,51,207 and is associated

with the insulin resistance syndrome and multiple risk fac-tors for CVD.82–84 Therefore, an effort should be directed atweight loss in patients with prediabetes, the majority ofwhom are overweight. The ADA recommends screening fortype 2 diabetes in persons with a BMI �25 and in those�45 years of age.208 Such screening would be expected toidentify large numbers of individuals with prediabetes (IGTand IFG). Moreover, lifestyle intervention with caloric re-striction/increased physical activity is recommended byboth the ADA and the American Heart Association(AHA).208–211 Such interventions significantly decrease theconversion rate of IGT to type 2 diabetes, reduce HbA1c

levels, enhance insulin sensitivity, and improve CV riskfactors.212–217 No long-term study with sufficient numbersof patients has been completed to assess the effect of weightloss on CV outcomes, but the Look Action for Health inDiabetes (Look AHEAD) trial in patients with type 2 dia-betes with a BMI �25 is designed to address this issue.218

A detailed description of the principles of medical nutritiontherapy for achieving weight loss and improving the CVrisk profile has been provided by the ADA and theAHA.208–212,219

Physical inactivity: The level of physical activityshould be assessed in all subjects with prediabetes.208 Thiscan be done by use of simple questionnaires or with apedometer. A more quantitative measure can be obtained bydetermination of maximum oxygen consumption (VO2max),lthough this is not routinely recommended.

Physical inactivity, as manifested by a low VO2max,is a major risk factor for both type 2 diabetes andASCVD.210 –213,220,221 In subjects with IGT and type 2 di-abetes reduced physical fitness is associated with increasedCV mortality, whereas enhanced physical activity reducesthe risk of CVD.222–226 Moreover, incorporation of routinephysical activity of moderate intensity, 3–4 times per week,has been shown to reduce the conversion of IGT to type 2diabetes and improve the CV risk factor profile213,214 andhould be an integral part of any intervention programesigned to reduce CV risk and prevent diabetes in IGT and

FG individuals. To improve glycemic control, promote
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weight maintenance, and reduce CV risk, the ADA andAHA recommend �30 minutes of moderate-intensity phys-ical activity 3 days per week, and preferably 45–60 minutesof moderate intensity physical activity 5 days per week.208

Insulin resistance: Use of the euglycemic insulin clamps the gold standard for quantitating the severity of insulinesistance,227 but this is impractical on an individual basis orn large-scale epidemiologic trials. The homeostatic modelssessment of insulin resistance (HOMA-IR; calculated asPG in millimoles per liter � FPI in milliunits per liter �2.5) �3–4 is a surrogate measure of insulin resistance228

that correlates reasonably well with insulin resistance mea-sured with the euglycemic insulin clamp.229 An alternativemeasure is FPI concentration or stimulated insulin concen-tration �75% above the upper limit of normal.230 A TG–

DL-C ratio �3.0 also has been suggested as a surrogateeasure of insulin resistance.231 Measurement of BMI also

can be useful. The great majority (�80%–90%) of individ-uals with a BMI �30 are insulin resistant,232 as are mostpeople with visceral obesity (�102 cm in males and �88m in females).233 From the clinical standpoint, if the pa-ient has IGT, the physician can assume that he or she isnsulin resistant.2–6

Insulin resistance is a core defect responsible for thedevelopment of type 2 diabetes39,40,123 and is maximally/near maximally established in individuals with prediabetes(IGT/IFG)2–6,39 and in the genetically predisposed NGTffspring of parents with type 2 diabetes.43,45,46 Moreover,

insulin resistance is an independent risk factor for the de-velopment of ASCVD123 and is the major factor underlyinghe insulin resistance (metabolic) syndrome.84,123–126 Theathogenic mechanisms via which insulin resistance with itsompensatory hyperinsulinemia leads to each component ofhe insulin resistance syndrome have been reviewed in de-ail.82,84,124–126,149,150 A total of 25%–50% of individualsith prediabetes have the insulin resistance syndrome asefined by National Cholesterol Education ProgramNCEP) Adult Treatment Panel III (ATP III),111 and �50%

of these individuals have �2 components of the insulinresistance syndrome,234 placing them at high risk for

SCVD.From the therapeutic standpoint, the TZDs are potent insu-

in sensitizers in muscle, liver, and adipocytes39,123,235–237 andalso enhance �-cell function.39,238 Not surprisingly, the

ZDs have proved highly effective in preventing therogression of IGT/IFG to type 2 diabetes.190–195 Inhe PROactive study, pioglitazone significantly reduced theombined endpoint of all-cause mortality, MI, and stroke,183

and in a meta-analysis of all published studies significantlydecreased CV events in patients with type 2 diabetes.203

Therefore, the TZDs—especially at low doses and in com-bination with metformin—represent a rational choice toameliorate insulin resistance, prevent the progression ofIGT/IFG to type 2 diabetes, and possibly to reduce the high

incidence of CV events in individuals with prediabetes and o

type 2 diabetes. In subjects with these conditions, TZDs alsoreduce CRP, circulating inflammatory markers, and proco-agulant factors.239,240

Metformin also is an insulin sensitizer but its primaryeffect is on the liver, with a weak effect on muscle.241–243 Inhe US DPP study, metformin decreased the conversion ratef IGT to type 2 diabetes by 32%,190 but this decrease

represented only about 50% of the effectiveness of use oflifestyle intervention or TZDs.191–194 Metformin also de-creased CV events in the UKPDS.244 Because of its provenfficacy, cost-effectiveness, and safety, the ADA has rec-mmended metformin for the treatment of high-risk indi-iduals with IGT or IFG.201

Dyslipidemia: Any assessment of the patient with pre-diabetes should involve the measurement of plasma LDL-C,non–HDL-C (total cholesterol minus HDL-C), HDL-C, andTG concentrations. Whether LDL particle size and numbershould be measured as part of the general evaluation of thepatient with prediabetes remains at the discretion of theindividual physician.

Elevated LDL-C, non–HDL-C, small, dense LDL parti-cles (phenotype B), and reduced HDL-C are major riskfactors for ASCVD in individuals with NGT and in personswith prediabetes and type 2 diabetes.245–250 The role oflevated TGs as a major CV risk factor remains controver-ial.251 In individuals with prediabetes and type 2 diabetes,he incidence of hypercholesterolemia is not increased com-ared with the general population,252 but the incidence ofmall, dense atherogenic LDL particles (phenotype B) isarkedly increased and represents a major risk factor for

ccelerated atherogenesis.250 Small, dense LDL particles arelosely associated with insulin resistance.253

LDL-C: Multiple studies have documented the benefitof LDL-C reduction in individuals with type 2 diabetes. Inthe Heart Protection Study254,255 reduction in LDL-C withimvastatin was shown to be effective in decreasing CVvents in patients with diabetes with and without a historyf CAD, an HbA1c level �7.0 or �7.0%, and irrespective ofhe starting levels of LDL-C (�115 mg/dL or �115 mg/L), HDL-C (�35 mg/dL or �35 mg/dL) [1 mg/dL �.0259 mmol/L], and TGs (�182 mg/dL or �182 mg/dL [1g/dL � 0.0113 mmol/L]). In the Scandinavian Simvastatinurvival Study (4S),256 simvastatin was effective in reduc-

ing coronary events in individuals with normal fasting glu-cose, IFG, and diabetes. Similarly, the subgroup analysis inthe Cholesterol and Recurrent Events (CARE) trial246 dem-onstrated that, for similar initial cholesterol levels, prava-statin was more effective in reducing CV events in patientswith IFG and diabetes compared with individuals with anormal fasting glucose concentration. In the CollaborativeAtorvastatin Diabetes Study (CARDS),257,258 use of atorva-tatin in patients with diabetes reduced major CV events by7% and stroke by 48%. Of note, the patients with diabetesn CARDS had “normal” cholesterol levels and no evidence

f CVD. In the Treating to New Targets (TNT) trial,259
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intensive therapy with atorvastatin (80 mg/day) reduced therate of major CV events by 25%, compared with 10 mg/dayof atorvastatin in patients with diabetes with CAD. TheLDL-C level at study end in the 2 treatment groups was 77mg/dL and 99 mg/dL, respectively. In the recently pub-lished JUPITER (Justification for the use of Statins in Pre-vention: an International Trial Evaluating Rosuvastatin)trial patients with diabetes but without evidence of CADand a starting LDL-C level of 108 mg/dL were treated withrosuvastatin to achieve a goal of 54 mg/dL.260 The incidencef CV events was reduced by 46% with rosuvastatin com-ared with placebo.

Because prediabetes and diabetes are CV risk equiva-ents, the goals for LDL-C level should be similar in bothroups261,262: LDL-C �70 mg/dL in patients with predia-

betes/diabetes with known CVD or without CVD but with�1 additional major CV risk factor; and LDL-C �100mg/dL in patients with prediabetes/diabetes without CVDand without any major CV risk factor. However, it shouldbe noted that identification of patients with diabetes withoutCVD and without major CV risk factors (obesity, dyslipi-demia, hypertension) is distinctly uncommon. Moreover,the results of JUPITER strongly suggest that even patientswith diabetes without CVD or CV risk factors should betreated to an LDL-C goal of 70 mg/dL.260

LDL particle size and number: Many studies, bothcross-sectional263 and prospective,264–268 have demonstratedhat LDL particle number and size may be better indicatorsf CV risk than LDL-C concentration. Small, dense LDLarticles are especially atherogenic and also are an impor-ant predictor of CVD.269,270 Therefore, the physician mayish to obtain a nuclear magnetic resonance measurementf LDL particle number or size. However, if the goal ofherapy is to reduce the LDL-C concentration to 70 mg/dL,he role of more aggressive therapy with a 3-hydroxy-3ethylglutaryl coenzyme A reductase inhibitor (statin),

ven if LDL particle number/size is not normalized, is notlear. On the other hand, if the goal of therapy is an LDL-Carget of 100 mg/dL, the finding of an increased number ofmall, dense LDL particles might push the physician tourther reduce LDL-C to 70 mg/dL.

HDL-C: Many studies have demonstrated that a lowDL-C level is a risk factor for CVD in individuals with

nd without diabetes.271,272 The ADA recommends thera-peutic goals for HDL-C of �40 mg/dL in men and �50mg/dL in women,208 whereas the AHA recommends raisingHDL-C without setting a specific goal.111,273 The most ef-ective drug for raising HDL-C is nicotinic acid, but thereave been no large, long-term CV outcomes trials specifi-ally targeting either diabetic or prediabetic populations.oreover, it is difficult to define the specific role of raisingDL-C in preventing CVD because all interventions that

aise HDL-C also improve the concentrations of other lipo-roteins.274 The Veterans Affairs High-Density Lipoprotein

holesterol Intervention Trial (VA-HIT)275 examined the

effect of gemfibrozil in individuals, including 625 patientswith diabetes, with CAD and low HDL-C levels. A post hocanalysis showed a modest reduction in CV events thatcorrelated with the increase in HDL-C level.275 Althoughnot well appreciated, the TZDs, especially pioglitazone,raise levels of HDL-C by an average of 4–6 mg/dL.276,277

Chronic physical training also is effective in raising theHDL-C level278 and has other benefits, including improvedinsulin sensitivity, protection against the development oftype 2 diabetes in individuals with prediabetes, and reduc-tion in CV events. Dietary intake of omega-3 fatty acids alsocan cause a modest elevation in HDL-C.279

Plasma TGs: During the fasting state, plasma TGs pri-marily are located in VLDL, and the plasma TG concentra-tion has been used as a surrogate measure of VLDL. In moststudies plasma TGs are a univariate predictor of CVD butthey drop out as a predictor in multivariate analyses, mostlikely because elevated plasma TG concentrations areclosely linked to reduced HDL-C and, to a lesser extent, toelevated LDL-C.280 In the FIELD (Fenofibrate Interventionand Event Lowering in Diabetes) study, fenofibrate causeda nonsignificant reduction in the primary outcome of totalCV events in patients with diabetes.251 The secondary out-come of nonfatal MI decreased, but fatal MI increased.Decreased nonfatal MI without benefit on fatal MI or totalmortality also has been seen with clofibrate,281 gemfibro-il,275,282 and bezafibrate.283 The largely negative results of

FIELD251 have been attributed to the low starting plasmaTG concentration (173 mg/dL) and higher statin drop-in ratein the placebo group. In the Helsinki Heart Study,282 thesubgroup of patients with diabetes who had very high TGand low HDL-C levels experienced a reduction in CVevents with gemfibrozil. Similarly, in the Action to ControlCardiovascular Risk in Diabetes (ACCORD) trial, in thesubgroup of patients with diabetes who had high plasma TG(�204 mg/dL) and low HDL-C (�34 mg/dL) levels, areduction in CV events (p � 0.06) was observed.284 Basedon the results summarized above, treatment to LDL-C andnon–HDL-C (see below) goals should remain the primaryand secondary focuses of lipid intervention therapy, respec-tively, in patients with prediabetes or type 2 diabetes. In-terventions to raise HDL-C should be the tertiary aim.

Non–HDL-C: Non–HDL-C represents the differencebetween total cholesterol and HDL-C concentrations andreflects the amount of cholesterol within those lipoproteinparticles that have been demonstrated to be atherogenic.Several studies have documented that non–HDL-C is a betterpredictor of CVD than the LDL-C concentration.285–288 TheADA, American College of Cardiology (ACC), and ATP IIIrecommend targeting LDL-C first, with non–HDL-C as asecondary target.262,273 The non–HDL-C goals should be 30mg/dL greater than the LDL goal. Thus, for the great ma-jority of patients with prediabetes or diabetes in whom theLDL-C goal is 70 mg/dL, the non–HDL-C goal will be 100

mg/dL. Interventional strategies for treating non–HDL-C
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include use of low-fat diet, niacin, fibrates, pioglitazone,and omega-3 fatty acids.

Blood pressure: All patients with prediabetes shouldave their systolic and diastolic blood pressure measuredfter 5 minutes in the reclining position and after standing.he Joint National Committee on Prevention, Detection,valuation, and Treatment of High Blood Pressure (JNC7)lassifies blood pressure in 4 categories: (1) normal, �120/80 mm Hg; (2) prehypertension, 120–129/80–89 mm Hg;

3) stage 1 hypertension, 140–150/90–99 mm Hg; and (4)tage 2 hypertension, �160/�100 mm Hg.289

Hypertension is a major risk factor for CVD,290 occurs in50%–60% of individuals with type 2 diabetes,291 and is 2–3times more common in individuals with prediabetes com-pared with nondiabetic subjects.292 Diabetes and hyperten-ion,293,294 as well as prediabetes and hypertension,295 aredditive risk factors for atherosclerosis and CVD. Epidemi-logic studies show that the increased risk for CV events andortality starts at a blood pressure level �115/75 mm Hg in

he general population and doubles for every 20-mm Hgystolic and 10-mm Hg diastolic increase.296 The ADA/

AHA suggest that the blood pressure goal in patients withtype 2 diabetes should be 130/80 mm Hg,261 while the JNC7ecommendation is �140/90 mm Hg. However, the optimalevel of blood pressure control remains controversial. In theypertension Optimal Treatment (HOT) trial,297 subjects

with and without diabetes were randomized to 1 of 3 dia-stolic blood pressure categories (�90, �85, or �80 mmHg). In the group with diabetes, patients randomized to adiastolic target of �80 mm Hg had 50% of the risk of majorCV events compared with the �90-mm Hg target group.297

Most recently, the ACCORD Study298 randomized 4,733atients with type 2 diabetes to a systolic blood pressurearget �120 mm Hg or �140 mm Hg for 4.7 years. At 1ear, mean blood pressure was 119 mm Hg in the inten-ively treated group and 133 mm Hg in the standard therapyroup. The respective values for diastolic blood pressureere 64 mm Hg and 70 mm Hg. The primary compositeutcome of nonfatal MI, stroke, and death from CV causesas similar in both groups (hazard ratio [HR] � 0.88, p �.20). The HR for stroke was significantly reduced in thentensive group (HR � 0.59, p � 0.01), but the total number

of strokes (36 vs 62) was relatively small in both groups.Serious adverse events attributed to antihypertensive ther-apy occurred in 3.3% of intensively treated patients withdiabetes compared with 1.3% in the standard therapy group(p �0.001). Overall, targeting systolic blood pressure to120 mm Hg versus 140 mm Hg did not reduce the risk forCV events and increased the risk for serious adverse events.The achievement of lower blood pressure in the intensivetherapy group required a greater number of drugs fromevery class (mean number of medications, 3.4). Of note, inthe ABCD (Appropriate Blood Pressure Control in Diabe-tes) trial, a mean systolic blood pressure of 132 mm Hg was

achieved in the intensively treated group, but no significant

decrease in CVD endpoints occurred although total mortal-ity was reduced.299 In the ADVANCE (Action in Diabetesnd Vascular Disease: Preterax and Diamicron Modifiedelease Controlled Evaluation) trial, the fixed combinationf an angiotensin-converting enzyme (ACE) inhibitor plushe diuretic indapamide in patients with diabetes reducedhe risk of both microvascular and macrovascular compli-ations by 9% and decreased the risk of CV death by 18%egardless of the initial blood pressure level.300 In summary,

the HOT trial indicates that targeting diastolic blood pres-sure to 80 mm Hg significantly reduces CV risk. However,the ideal target for systolic blood pressure (ie, �140 mm Hgvs �120 mm Hg) remains controversial. For now the ADA/AHA goal of systolic blood pressure �130 mmHg remainsreasonable.261

With regard to the choice of antihypertensive agents, arecent meta-analysis of 147 randomized, controlled bloodpressure trials in patients with and without diabetes con-cluded that all classes of blood pressure–lowering drugs hada similar effect on reduction of CV events for a givenreduction in blood pressure.289 The exception was the�-blockers which, when given shortly after an MI and whencontinued for 1–2 years thereafter, significantly reduced CVrisk compared with other categories of drugs.289 Becausemultiple trials suggest that the beneficial effects of ACEinhibitors and angiotensin receptor blockers (ARBs) are notlimited to blood pressure reduction,301–304 and because ACEnhibitors/ARBs have a specific preventive effect on dia-etic nephropathy,305,306 they are recommended as the drugs

of choice in patients with diabetes, and it seems reasonableto use them as first-line therapy in patients with prediabetesas well. However, it should be noted that most patients withprediabetes or diabetes require at least 2–4 antihypertensivemedications to achieve optimal blood pressure control.

Procoagulant state: No specific assessment of coagula-bility is recommended in patients with prediabetes. How-ever, antiplatelet therapy is advocated in patients with thiscondition who are at high risk for CVD. Diabetes is ahypercoagulable state, and multiple coagulation abnormal-ities have been described, including increased levels ofplasminogen activator inhibitor–1 and fibrinogen, as well asincreased platelet adherence.307 Meta-analyses of 195 trialsncluding �135,000 patients (4,961 with diabetes) at highisk for CVD given antiplatelet drugs (aspirin, clopidogrel,r dipyridamole alone or in combination) revealed a 25%eduction in stroke, MI, or vascular death.308–310 The opti-al effective aspirin dose was 75–150 mg/dL. In patientsith diabetes and established CVD, clopidogrel gave thereatest protection against CV events.311–313 The most re-ent AHA/ADA guidelines recommend aspirin as primaryrevention in patients with diabetes at increased CV risk,261

and it is reasonable to use the same approach in patientswith prediabetes.

Tobacco smoking: All patients with prediabetes should

be questioned about their history of smoking. Cigarette
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smoking is a strong CV risk factor in individuals with orwithout diabetes,314,315and smoking cessation leads to asignificant reduction in mortality with a trend toward reduc-tion in CV death.316 All patients with prediabetes or diabeteshould be cautioned against smoking, and those who smokehould be referred to a formal smoking-cessation programnd/or considered for treatment with nicotine substitutesnd/or bupropion hydrochloride.

Endothelial dysfunction: The assessment of endothelialysfunction (postischemic brachial arterial dilation or ace-ylcholine-induced brachial arterial vasodilation) is notractical for the primary care physician. However, it iseasonable to assume that patients with prediabetes or dia-etes who are insulin-resistant also have moderate-to-severendothelial dysfunction.317

The endothelium plays a pivotal role in arterial vascularsmooth muscle cell relaxation317–320 by releasing nitric ox-de (NO), formed intracellularly by NO synthase, from

L-arginine in response to a variety of stimuli includingnsulin. NO is a potent vasodilator and antiatherogenic mol-cule.317–320 NO stimulates muscle guanylyl cyclase to form

cyclic guanosine monophosphate, leading to vasodilation ofvascular smooth muscle cells. In states of NO deficiency, asoccurs in prediabetes321 and type 2 diabetes,322 the athero-clerotic process is accelerated, blood pressure is increased,nd paradoxical coronary arterial vasoconstriction occurs.ecause NO generation is dependent on an intact insulin

ignaling (IRS-1/PI-3 kinase/Akt) pathway, states of insulinesistance, such as prediabetes and type 2 diabetes, areharacterized by NO deficiency, endothelial dysfunction,ypertension, and accelerated atherosclerosis.123 Insulin-ensitizing drugs, in particular the TZDs, have a majormpact on improvement of endothelial dysfunction.

Inflammation: Chronic inflammation is a characteristiceature of type 2 diabetes,320,322 and elevated circulating

levels of inflammatory cytokines (eg, interleukin-6)323 haveeen reported in individuals with prediabetes. Some centersave advocated the measurement of CRP as part of thevaluation of CV risk,324and the FDA has approved the usef rosuvastatin in patients without diabetes with an LDL-Cevel �100 mg/dL and an elevated CRP level �2.0 mg/dL1 mg/dL � 9.52 nmol/L]. However, routine measurementf CRP has yet to be endorsed by the AHA or the ADA.

Absolute risk assessment: It generally is recommendedhat all patients identified as having increased CV risk (eg,atients with prediabetes) have a global risk assessment forheir 10-year risk for CVD.206 A global risk assessment cane performed using the Framingham cardiovascular riskalculator173 or the Prospective Cardiovascular Münster

(PROCAM) scoring system.294 These methods use easy-to-collect clinical parameters including age, sex, use of cigarettes,plasma lipids, and blood pressure. Based on the Framingham

score, individuals with the metabolic syndrome have been

divided into high (�20%), moderately high (10%–20%), andmoderate (�10%) 10-year CV event risk categories.

Conclusion

Prediabetes (IGT and/or IFG) is a CV risk equivalent, andpatients with IGT or IFG should be aggressively treated tocorrect all CV risk factors. Lifestyle modification and, in high-risk individuals, pharmacologic intervention, should be initi-ated to prevent the progression of IGT/IFG to overt type 2diabetes.

Author Disclosures

The authors who contributed to this article have disclosedthe following industry relationships:

Ralph A. DeFronzo, MD, is a member of the Speakers’Bureau of Novo Nordisk A/S; serves on the advisory boardsof Amylin Pharmaceuticals, Inc., Boehringer Ingelheim, EliLilly and Company, Isis Pharmaceuticals, Inc., and TakedaPharmaceuticals North America, Inc.; and has received re-search/grant support from Amylin Pharmaceuticals, Inc., EliLilly and Company, and Takeda Pharmaceuticals NorthAmerica, Inc.

Muhammad Abdul-Ghani, MD, PhD, reports no rela-tionships to disclose with any manufacturer of a product ordevice discussed in this supplement.

1. American Diabetes Association. Diagnosis and classification of dia-betes mellitus. Diabetes Care 2008;31:S55–S60.

2. Abdul-Ghani MA, Jenkinson CP, Richardson DK, Tripathy D, De-Fronzo RA. Insulin secretion and action in subjects with impairedfasting glucose and impaired glucose tolerance: results from theVeterans Administration Genetic Epidemiology Study. Diabetes2006;55:1430–1435.

3. Abdul-Ghani MA, Tripathy D, DeFronzo RA. Contributions of �-celldysfunction and insulin resistance to the pathogenesis of impairedglucose tolerance and impaired fasting glucose. Diabetes Care 2006;29:1130–1139.

4. Abdul-Ghani M, Matsuda M, Sabbah M, Jenkinson C, RichardsonDK, DeFronzo RA. The relative contribution of insulin resistance and�-cell failure to the transitiion from normal to impaired glucosetolerance varies in different ethnic groups. Diabetes Metab Syndr2007;1:105–112.

5. Gastaldelli A, Ferrannini E, Miyazaki Y, Matsuda M, DeFronzo RA.�-Cell dysfunction and glucose intolerance: results from the SanAntonio metabolism (SAM) study. Diabetologia 2004;47:31–39.

6. Ferrannini E, Gastaldelli A, Miyazaki Y, Matsuda M, Mari A, De-Fronzo RA. �-Cell function in subjects spanning the range fromnormal glucose tolerance to overt diabetes: a new analysis. J ClinEndocrinol Metab 2005;90:493–500.

7. Charles MA, Fontbonne A, Thibult N, Warnet JM, Rosselin GE,Eschwege E. Risk factors for NIDDM in white population: ParisProspective Study. Diabetes 1991;40:796–799.

8. Motala AA, Omar MA, Gouws E. High risk of progression toNIDDM in South-African Indians with impaired glucose tolerance.Diabetes 1993;42:556–563.

9. Kahn SE, Leonetti DL, Prigeon RL, Boyko EJ, Bergstom RW,

Fujimoto WY. Proinsulin levels predict the development of non-
Page 13: 00029149_S0002914911X00115_S0002914911012148_main

15BDeFronzo and Abdul-Ghani/Cardiovascular Risk in Prediabetes: IGT and IFG

insulin-dependent diabetes mellitus (NIDDM) in Japanese-Americanmen. Diabet Med 1996;13:S63–S66.

10. Saad MF, Knowler WC, Pettitt DJ, Nelson RG, Mott DM, BennettPH. The natural history of impaired glucose tolerance in the PimaIndians. N Engl J Med 1988;319:1500–1506.

11. King H, Zimmet P, Raper LR, Balkau B. The natural history ofimpaired glucose tolerance in the Micronesian population of Nauru:a six-year follow-up study. Diabetologia 1984;26:39–43.

12. de Vegt F, Dekker JM, Jager A, Hienkens E, Kostense PJ, StehouwerCD, Nijpels G, Bouter LM, Heine RJ. Relation of impaired fastingand postload glucose with incident type 2 diabetes in a Dutch pop-ulation: the Hoorn Study. JAMA 2001;285:2109–2113.

13. Ferrannini E, Nannipieri M, Williams K, Gonzales C, Haffner SM,Stern MP. 2004 Mode of onset of type 2 diabetes from normal orimpaired glucose tolerance. Diabetes 2004;53:160–165.

14. Haffner SM, Miettinen H, Gaskill SP, Stern MP. Decreased insulinsecretion and increased insulin resistance are independently related tothe 7-year risk of NIDDM in Mexican-Americans. Diabetes 1995;44:1386–1391.

15. Wong MS, Gu K, Heng D, Chew SK, Chew LS, Tai ES. TheSingapore impaired glucose tolerance follow-up study: does the tick-ing clock go backward as well as forward? Diabetes Care 2003;26:3024–3030.

16. Ko GT, Chan JC, Cockram CS. Change of glycaemic status inChinese subjects with impaired fasting glycaemia. Diabet Med 2001;18:745–748.

17. Gerstein HC, Santaguida P, Raina P, Morrison KM, Balion C, HuntD, Yazdi H, Booker L. Annual incidence and relative risk of diabetesin people with various categories of dysglycemia: a systematic over-view and meta-analysis of prospective studies. Diabetes Res ClinPract 2007;78:305–312.

18. Barr EL, Boyko EJ, Zimmet PZ, Wolfe R, Tonkin AM, Shaw JE.Continuous relationships between non-diabetic hyperglycaemia andboth cardiovascular disease and all-cause mortality: the AustralianDiabetes, Obesity, and Lifestyle (AusDiab) study. Diabetologia2009;52:415–424.

19. The DECODE Study Group. Glucose tolerance and mortality: com-parison of WHO and American Diabetes Association diagnostic cri-teria. Lancet 1999;354:617–621.

20. DECODE Study Group. Glucose tolerance and cardiovascular mor-tality: comparison of fasting and 2-hour diagnostic criteria. ArchIntern Med 2001;161:397–405.

21. Qiao Q, Pyorala K, Pyorala M, Nissinen A, Lindstrom J, Tilvis R,Tuomilehto J. Two-hour glucose is a better risk predictor for incidentcoronary heart disease and cardiovascular mortality than fasting glu-cose. Eur Heart J 2002;23:1267–1275.

22. Nakagami T. Hyperglycaemia and mortality from all causes and fromcardiovascular disease in five populations of Asian origin. Diabeto-logia 2004;47:385–394.

23. Hyvarinen M, Qiao Q, Tuomilehto J, Laatikainen T, Heine RJ,Stehouwer CD, Alberti KG, Pyorala K, Zethelius B, Stegmayr B.Hyperglycemia and stroke mortality: comparison between fasting and2-h glucose criteria. Diabetes Care 2009;32:348–354.

24. Ning F, Tuomilehto J, Pyorala K, Onat A, Soderberg S, Qiao Q.Cardiovascular disease mortality in europeans in relation to fastingand 2h plasma glucose levels within a normoglycemic range. Diabe-tes Care 2010;33:2211–2216.

25. Fuller JH, Shipley MJ, Rose G, Jarrett RJ, Keen H. Coronary-heart-disease risk and impaired glucose tolerance: the Whitehall Study.Lancet 1980;1:1373–1376.

26. Rodriguez BL, Lau N, Burchfiel CM, Abbott RD, Sharp DS, Yano K,Curb JD. Glucose intolerance and 23-year risk of coronary heartdisease and total mortality: the Honolulu Heart Program. DiabetesCare 1999;22:1262–1265.

27. Balkau B, Shipley M, Jarrett RJ, Pyorala K, Pyorala M, Forhan A,Eschwege E. High blood glucose concentration is a risk factor for

mortality in middle-aged nondiabetic men: 20-year follow-up in the

Whitehall Study, the Paris Prospective Study, and the HelsinkiPolicemen Study. Diabetes Care 1998;21:360–367.

28. Barr EL, Zimmet PZ, Welborn TA, Jolley D, Magliano DJ, DunstanDW, Cameron AJ, Dwyer T, Taylor HR, Tonkin AM, et al. Risk ofcardiovascular and all-cause mortality in individuals with diabetesmellitus, impaired fasting glucose, and impaired glucose tolerance:the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab).Circulation 2007;116:151–157.

29. Jarrett RJ, McCartney P, Keen H. The Bedford survey: ten yearmortality rates in newly diagnosed diabetics, borderline diabetics andnormoglycaemic controls and risk indices for coronary heart diseasein borderline diabetics. Diabetologia 1982;22:79–84.

30. Butler WJ, Ostrander LD Jr, Carman WJ, Lamphiear DE. Mortalityfrom coronary heart disease in the Tecumseh study. Long-term effectof diabetes mellitus, glucose tolerance and other risk factors. Am JEpidemiol 1985;121:541–547.

31. Barzilay JI, Spiekerman CF, Wahl PW, Kuller LH, Cushman M,Furberg CD, Dobs A, Polak JF, Savage PJ. Cardiovascular disease inolder adults with glucose disorders: comparison of American Diabe-tes Association criteria for diabetes mellitus with WHO criteria.Lancet 1999;354:622–625.

32. Tominaga M, Eguchi H, Manaka H, Igarashi K, Kato T, Sekikawa A.Impaired glucose tolerance is a risk factor for cardiovascular disease,but not impaired fasting glucose: the Funagata Diabetes Study. Dia-betes Care 1999;22:920–924.

33. Lawes CM, Parag V, Bennett DA, Suh I, Lam TH, Whitlock G, BarziF, Woodward M. Blood glucose and risk of cardiovascular disease inthe Asia Pacific region. Diabetes Care 2004;27:2836–2842.

34. de Vegt F, Dekker JM, Ruhe HG, Stehouwer CD, Nijpels G, BouterLM, Heine RJ. Hyperglycaemia is associated with all-cause andcardiovascular mortality in the Hoorn population: the Hoorn Study.Diabetologia 1999;42:926–931.

35. Rijkelijkhuizen JM, Nijpels G, Heine RJ, Bouter LM, Stehouwer CD,Dekker JM. High risk of cardiovascular mortality in individuals withimpaired fasting glucose is explained by conversion to diabetes: theHoorn study. Diabetes Care 2007;30:332–336.

36. Sourij H, Saely CH, Schmid F, Zweiker R, Marte T, Wascher TC,Drexel H. Post-challenge hyperglycaemia is strongly associated withfuture macrovascular events and total mortality in angiographiedcoronary patients. Eur Heart J 2010;31:1583–1590.

37. Coutinho M, Gerstein HC, Wang Y, Yusuf S. The relationship be-tween glucose and incident cardiovascular events. A meta regressionanalysis of published data from 20 studies of 95,783 individualsfollowed for 12.4 years. Diabetes Care 1999;22:233–240.

38. DeFronzo RA. Pathogenesis of type 2 diabetes mellitus. Med ClinNorth Am 2004;88:787–835.

39. DeFronzo RA. From the triumvirate to the ominous octet: a newparadigm for the treatment of type 2 diabetes mellitus [Bantinglecture]. Diabetes 2009;58:773–795.

40. Bajaj M, DeFronzo RA. Metabolic and molecular basis of insulinresistance. J Nucl Cardiol 2003;10:311–323.

41. DeFronzo RA. Pathogenesis of type 2 diabetes: metabolic and mo-lecular implications for identifying diabetes genes. Diabetes Rev1997;5:177–269.

42. Eriksson J, Franssila-Kallunki A, Ekstrand A, Saloranta C, Widen E,Schalin C, Groop L. Early metabolic defects in persons at increasedrisk for non-insulin-dependent diabetes mellitus. N Engl J Med 1989;321:337–343.

43. Pendergrass M, Bertoldo A, Bonadonna R, Nucci G, Mandarino L,Cobelli C, DeFronzo RA. Muscle glucose transport and phosphory-lation in type 2 diabetic, obese nondiabetic, and genetically predis-posed individuals. Am J Physiol Endocrinol Metab 2007;292:E92–E100.

44. Groop L, Lyssenko V. Genes and type 2 diabetes mellitus. Curr DiabRep 2008;8:192–197.

45. Pratipanawatr W, Pratipanawatr T, Cusi K, Berria R, Adams JM,

Jenkinson CP, Maezono K, DeFronzo RA, Mandarino LJ. Skeletal
Page 14: 00029149_S0002914911X00115_S0002914911012148_main

16B The American Journal of Cardiology (www.AJConline.org) Vol 108 (3S) August 2, 2011

muscle insulin resistance in normoglycemic subjects with a strongfamily history of type 2 diabetes is associated with decreasedinsulin-stimulated insulin receptor substrate-1 tyrosine phosphoryla-tion. Diabetes 2001;50:2572–2578.

46. Morino K, Petersen KF, Dufour S, Befroy D, Frattini J, Shatzkes N,Neschen S, White MF, Bilz S, Sono S, Pypaert M, Shulman GI.Reduced mitochondrial density and increased IRS-1 serine phosphor-ylation in muscle of insulin-resistant offspring of type 2 diabeticparents. J Clin Invest 2005;115:3587–3593.

47. DeFronzo RA, Ferrannini E, Simonson DC. Fasting hyperglycemia innon-insulin-dependent diabetes mellitus: contributions of excessivehepatic glucose production and impaired tissue glucose uptake. Me-tabolism 1989;38:387–395.

48. Ferrannini E, Simonson DC, Katz LD, Reichard G Jr, Bevilacqua S,Barrett EJ, Olsson M, DeFronzo RA. The disposal of an oral glucoseload in patients with non-insulin-dependent diabetes. Metabolism1988;37:79–85.

49. DeFronzo RA, Gunnarsson R, Bjorkman O, Olsson M, Wahren J.Effects of insulin on peripheral and splanchnic glucose metabolism innoninsulin-dependent (type II) diabetes mellitus. J Clin Invest 1985;76:149–155.

50. Groop LC, Bonadonna RC, DelPrato S, Ratheiser K, Zyck K, Fer-rannini E, DeFronzo RA. Glucose and free fatty acid metabolism innon-insulin-dependent diabetes mellitus. Evidence for multiple sitesof insulin resistance. J Clin Invest 1989;84:205–213.

51. James WP. The fundamental drivers of the obesity epidemic. ObesRev 2008;9(suppl 1):6–13.

52. DeFronzo RA, Soman V, Sherwin RS, Hendler R, Felig P. Insulinbinding to monocytes and insulin action in human obesity, starvation,and refeeding. J Clin Invest 1978;62:204–213.

53. Koivisto VA, Yki-Jarvinen H, DeFronzo RA. Physical training andinsulin sensitivity. Diabetes Metab Rev 1986;1:445–481.

54. Diamond MP, Thornton K, Connolly-Diamond M, Sherwin RS, De-Fronzo RA. Reciprocal variations in insulin-stimulated glucose up-take and pancreatic insulin secretion in women with normal glucosetolerance. J Soc Gyn Invest 1995;2:708–715.

55. DeFronzo RA. The triumvirate: �-cell, muscle, liver. A collusionresponsible for NIDDM [Lilly Lecture 1987]. Diabetes 1988;37:667–687.

56. Bergman RN, Finegood DT, Kahn SE. The evolution of �-celldysfunction and insulin resistance in type 2 diabetes. Eur J ClinInvest 2002;32(suppl 3):35–45.

57. Butler AE, Janson J, Bonner-Weir S, Ritzel R, Rizza RA, Butler PC.�-Cell deficit and increased �-cell apoptosis in humans with type 2diabetes. Diabetes 2003;52:102–110.

58. Diabetes Prevention Research Group. The prevalence of retinopathyin impaired glucose tolerance and recent-onset diabetes in the Dia-betes Prevention Program. Diabet Med 2007;24:137–144.

59. Ziegler D, Rathmann W, Dickhaus T, Meisinger C, Mielck A.Prevalence of polyneuropathy in pre-diabetes and diabetes isassociated with abdominal obesity and macroangiopathy: theMONICA/KORA Augsburg Surveys S2 and S3. Diabetes Care2008;31:464 – 469.

60. Smith AG, Russell J, Feldman EL, Goldstein J, Peltier A, Smith S,Hamwi J, Pollari D, Bixby B, Howard J, Singleton JR. Lifestyleintervention for pre-diabetic neuropathy. Diabetes Care 2006;29:1294–1299.

61. Morrish NJ, Wang SL, Stevens LK, Fuller JH, Keen H. Mortality andcauses of death in the WHO Multinational Study of Vascular Diseasein Diabetes. Diabetologia 2001;44(suppl 2):S14–S21.

62. Haffner SM, Lehto S, Ronnemaa T, Pyorala K, Laakso M. Mortalityfrom coronary heart disease in subjects with type 2 diabetes and innondiabetic subjects with and without prior myocardial infarction.N Engl J Med 1998;339:229–234.

63. Giorda CB, Avogaro A, Maggini M, Lombardo F, Mannucci E,Turco S, Alegiani SS, Raschetti R, Velussi M, Ferrannini E.

Recurrence of cardiovascular events in patients with type 2 dia-

betes: epidemiology and risk factors. Diabetes Care2008;31:2154 –2159.

64. The DECODE Study Group, on behalf of the European DiabetesEpidemiology Group. Consequences of the new diagnostic criteriafor diabetes in older men and women. DECODE Study. DiabetesCare 1999;22:1667–1671.

65. DECODE Study Group. Is the current definition for diabetes relevantto mortality risk from all causes and cardiovascular and noncardio-vascular diseases? Diabetes Care 2003;26:688–696.

66. Meigs JB, Nathan DM, D’Agostino RB Sr, Wilson PW. Fasting andpostchallenge glycemia and cardiovascular disease risk: the Framing-ham Offspring Study. Diabetes Care 2002;25:1845–1850.

67. Pyorala K, Savolainen E, Lehtovirta E, Punsar S, Siltanen P. Glucosetolerance and cornary heart disease: Helsinki Policemen Study.J Chron Dis 1979;32:373–376.

68. Fuller JH, Shipley MJ, Rose G, Jarrett RJ, Keen H. Mortality fromcoronary heart disease and stroke in relation to degree of glycaemia:the Whitehall study. BMJ 1983;287:867–870.

69. Fujishima M, Kiyohara Y, Kato I, Ohmura T, Iwamoto H, NakayamaK, Ohmori S, Yoshitake T. Diabetes and cardiovascular disease in aprospective population survey in Japan: the Hisayama Study. Diabe-tes 1996;45(suppl 3):S14–S16.

70. Sourij H, Saely CH, Schmid F, Zweiker R, Marte T, Wascher TC,Drexel H. Post-challenge hyperglycaemia is strongly associated withfuture macrovascular events and total mortality in angiographiedcoronary patients. Eur Heart J 2010 ;31:1583–1590.

71. Lenzen M, Ryden L, Ohrvik J, Bartnik M, Malmberg K, Scholte OpReimer W, Simoons ML. Diabetes known or newly detected, but notimpaired glucose regulation, has a negative influence on 1-year out-come in patients with coronary artery disease: a report from the EuroHeart Survey on diabetes and the heart. Eur Heart J 2006;27:2969–2974.

72. Woerle HJ, Pimenta WP, Meyer C, Gosmanov NR, Szoke E, Szom-bathy T, Mitrakou A, Gerich JE. Diagnostic and therapeutic impli-cations of relationships between fasting, 2-hour postchallenge plasmaglucose and hemoglobin A1c values. Arch Intern Med 2004;164:1627–1632.

73. Blake DR, Meigs JB, Muller DC, Najjar SS, Andres R, Nathan DM.Impaired glucose tolerance, but not impaired fasting glucose, isassociated with increased levels of coronary heart disease risk factors:results from the Baltimore Longitudinal Study on Aging. Diabetes2004;53:2095–2100.

74. Medalie JH, Papier CM, Goldbourt U, Herman JB. Major factors inthe development of diabetes mellitus in 10,000 men. Arch Intern Med1975;135:811–817.

75. McPhillips JB, Barrett-Connor E, Wingard DL. Cardiovascular dis-ease risk factors prior to the diagnosis of impaired glucose toleranceand non-insulin-dependent diabetes mellitus in a community of olderadults. Am J Epidemiol 1990;131:443–453.

76. Mykkanen L, Kuusisto J, Pyorala K, Laakso M. Cardiovasculardisease risk factors as predictors of type 2 (non-insulin-depen-dent) diabetes mellitus in elderly subjects. Diabetologia 1993;36:553–559.

77. Haffner SM, Stern MP, Hazuda HP, Mitchell BD, Patterson JK.Cardiovascular risk factors in confirmed prediabetic individuals.Does the clock for coronary heart disease start ticking before theonset of clinical diabetes? JAMA 1990;263:2893–2898.

78. Haffner SM. Insulin resistance, inflammation, and the prediabeticstate. Am J Cardiol 2003;92:18J–26J.

79. Haffner SM, Mykkanen L, Festa A, Burke JP, Stern MP. Insulin-resistant prediabetic subjects have more atherogenic risk factors thaninsulin-sensitive prediabetic subjects: implications for preventingcoronary heart disease during the prediabetic state. Circulation 2000;101:975–980.

80. Isomaa B, Almgren P, Tuomi T, Forsen B, Lahti K, Nissen M,

Taskinen MR, Groop L. Cardiovascular morbidity and mortality
Page 15: 00029149_S0002914911X00115_S0002914911012148_main

17BDeFronzo and Abdul-Ghani/Cardiovascular Risk in Prediabetes: IGT and IFG

associated with the metabolic syndrome. Diabetes Care2001;24:683–689.

81. Goldberg RB, Temprosa M, Haffner S, Orchard TJ, Ratner RE,Fowler SE, Mather K, Marcovina S, Saudek C, Matulik MJ, Price D,for the Diabetes Prevention Program Research Group. Effect ofprogression from impaired glucose tolerance to diabetes on cardio-vascular risk factors and its amelioration by lifestyle and metforminintervention: the Diabetes Prevention Program randomized trial bythe Diabetes Prevention Program Research Group. Diabetes Care2009;32:726–732.

82. Grundy SM. Metabolic syndrome pandemic. Arterioscler ThrombVasc Biol 2008;28:629–636.

83. Noto D, Barbagallo CM, Cefalu AB, Falletta A, Sapienza M, CaveraG, Amato S, Pagano M, Maggiore M, Carroccio A, Notarbartolo A,Averna MR. The metabolic syndrome predicts cardiovascular eventsin subjects with normal fasting glucose: results of a 15 years fol-low-up in a Mediterranean population. Atherosclerosis 2008;197:147–153.

84. Miranda PJ, DeFronzo RA, Califf RM, Guyton JR. Metabolic syn-drome: evaluation of pathological and therapeutic outcomes. AmHeart J 2005;149:20–32.

85. Monnier L, Lapinski H, Colette C. Contributions of fasting andpostprandial plasma glucose increments to the overall diurnal hyper-glycemia of type 2 diabetes patients. Diabetes Care 2003;26:881–885.

86. Ceriello A. Impaired glucose tolerance and cardiovascular disease:the possible role of post-prandial hyperglycemia. Am Heart J 2004;147:803–807.

87. Ceriello A, Taboga C, Tonutti L, Quagliaro L, Piconi L, Bais B,Da Ros R, Motz E. Evidence for an independent and cumulativeeffect of postprandial hypertriglyceridemia and hyperglycemia onendothelial dysfunction and oxidative stress generation: effects ofshort- and long-term simvastatin treatment. Circulation 2002;106:1211–1218.

88. Scognamiglio R, Negut C, De Kreutzenberg SV, Tiengo A, AvogaroA. Postprandial myocardial perfusion in healthy subjects and in type2 diabetic patients. Circulation 2005;112:179–184.

89. Hanefeld M, Fischer S, Julius U, Schulze J, Schwanebeck U, Sch-mechel H, Ziegelasch HJ, Lindner J. Risk factors for myocardialinfarction and death in newly detected NIDDM: the Diabetes Inter-vention Study, 11-year follow-up. Diabetologia 1996;39:1577–1583.

90. Cavalot F, Petrelli A, Traversa M, Bonomo K, Fiora E, Conti M,Anfossi G, Costa G, Trovati M. Postprandial blood glucose is astronger predictor of cardiovascular events than fasting blood glucosein type 2 diabetes mellitus, particularly in women: lessons from theSan Luigi Gonzaga Diabetes Study. J Clin Endocrinol Metab 2006;91:813–819.

91. Saely CH, Drexel H, Sourij H, Aczel S, Jahnel H, Zweiker R,Langer P, Marte T, Hoefle G, Benzer W, Wascher TC. Key role ofpostchallenge hyperglycemia for the presence and extent of cor-onary atherosclerosis: an angiographic study. Atherosclerosis2008;199:317–322.

92. Wascher TC, Sourij H, Roth M, Dittrich P. Prevalence of patholog-ical glucose metabolism in patients undergoing elective coronaryangiography. Atherosclerosis 2004;176:419–421.

93. Bartnik M, Ryden L, Ferrari R, Malmberg K, Pyorala K, Simoons M,Standl E, Soler-Soler J, Ohrvik J. The prevalence of abnormal glu-cose regulation in patients with coronary artery disease across Eu-rope: the Euro Heart Survey on diabetes and the heart. Eur Heart J2004;25:1880–1890.

94. Norhammar A, Tenerz A, Nilsson G, Hamsten A, Efendic S, RydenL, Malmberg K. Glucose metabolism in patients with acute myocar-dial infarction and no previous diagnosis of diabetes mellitus: aprospective study. Lancet 2002;359:2140–2144.

95. Harris MI, Klein R, Welborn TA, Knuiman MW. Onset of NIDDMoccurs at least 4-7 yr before clinical diagnosis. Diabetes Care 1992;

15:815–819.

96. Hu DY, Pan CY, Yu JM. The relationship between coronary arterydisease and abnormal glucose regulation in China: the China HeartSurvey. Eur Heart J 2006;27:2573–2579.

97. Bax JJ, Young LH, Frye RL, Bonow RO, Steinberg HO, Barrett EJ.Screening for coronary artery disease in patients with diabetes. Dia-betes Care 2007;30:2729–2736.

98. American Diabetes Association. Consensus development conferenceon the diagnosis of coronary heart disease in people with diabetes.Diabetes Care 1998;21:1551–1559.

99. Scognamiglio R, Negut C, Ramondo A, Tiengo A, Avogaro A.Detection of coronary artery disease in asymptomatic patients withtype 2 diabetes mellitus. J Am Coll Cardiol 2006;47:65–71.

100. Wackers FJ, Young LH, Inzucchi SE, Chyun DA, Davey JA, BarrettEJ, Taillefer R, Wittlin SD, Heller GV, Filipchuk N, et al. Detectionof silent myocardial ischemia in asymptomatic diabetic subjects: theDIAD study. Diabetes Care 2004;27:1954–1961.

101. Guzder RN, Gatling W, Mullee MA, Mehta RL, Byrne CD. Prog-nostic value of the Framingham cardiovascular risk equation and theUKPDS risk engine for coronary heart disease in newly diagnosedType 2 diabetes: results from a United Kingdom study. Diabet Med2005;22:554–562.

102. Golomb BA, Dang TT, Criqui MH. Peripheral arterial disease:morbidity and mortality implications. Circulation 2006;114:688 –699.

103. Mann JF, Gerstein HC, Pogue J, Bosch J, Yusuf S. Renal insuffi-ciency as a predictor of cardiovascular outcomes and the impact oframipril: the HOPE randomized trial. Ann Intern Med 2001;134:629–636.

104. Gerstein HC, Mann JF, Yi Q, Zinman B, Dinneen SF, HoogwerfB, Halle JP, Young J, Rashkow A, Joyce C, Nawaz S, Yusuf S.Albuminuria and risk of cardiovascular events, death, and heartfailure in diabetic and nondiabetic individuals. JAMA 2001;286:421– 426.

105. Grimm RH Jr, Svendsen KH, Kasiske B, Keane WF, Wahi MM, forthe MRFIT Research Group. Proteinuria is a risk factor for mortalityover 10 years of follow-up: Multiple Risk Factor Intervention Trial.Kidney Int 1997;63(suppl):S10–S14.

106. Rajagopalan N, Miller TD, Hodge DO, Frye RL, Gibbons RJ. Iden-tifying high-risk asymptomatic diabetic patients who are candidatesfor screening stress single-photon emission computed tomographyimaging. J Am Coll Cardiol 2005;45:43–49.

107. Rutter MK, McComb JM, Brady S, Marshall SM. Silent myocar-dial ischemia and microalbuminuria in asymptomatic subjectswith non-insulin-dependent diabetes mellitus. Am J Cardiol 1999;83:27–31.

108. Vinik AI, Maser RE, Mitchell BD, Freeman R. Diabetic autonomicneuropathy. Diabetes Care 2003;26:1553–1579.

109. Hiller R, Sperduto RD, Podgor MJ, Ferris FL III, Wilson PW.Diabetic retinopathy and cardiovascular disease in type II diabetics:the Framingham Heart Study and the Framingham Eye Study. Am JEpidemiol 1988;128:402–409.

110. Goraya TY, Leibson CL, Palumbo PJ, Weston SA, Killian JM,Pfeifer EA, Jacobsen SJ, Frye RL, Roger VL. Coronary atherosclerosisin diabetes mellitus: a population-based autopsy study. J Am Coll Car-diol 2002;40:946–953.

111. Expert Panel on Detection, Evaluation, and Treatment of HighBlood Cholesterol in Adults. Executive Summary of the ThirdReport of the National Cholesterol Education Program (NCEP)Expert Panel on Detection, Evaluation, and Treatment of HighBlood Cholesterol in Adults (Adult Treatment Panel III). JAMA2001;285:2486 –2497.

112. Wilson PW, D’Agostino RB, Parise H, Sullivan L, Meigs JB. Met-abolic syndrome as a precursor of cardiovascular disease and type 2diabetes mellitus. Circulation 2005;112:3066–3072.

113. Rutter MK, Meigs JB, Sullivan LM, D’Agostino RB Sr, Wilson PW.

Insulin resistance, the metabolic syndrome, and incident cardiovas-
Page 16: 00029149_S0002914911X00115_S0002914911012148_main

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

18B The American Journal of Cardiology (www.AJConline.org) Vol 108 (3S) August 2, 2011

cular events in the Framingham Offspring Study. Diabetes2005;54:3252–3257.

14. Gaede P, Vedel P, Larsen N, Jensen GV, Parving HH, Pedersen O.Multifactorial intervention and cardiovascular disease in patientswith type 2 diabetes. N Engl J Med 2003;348:383–393.

15. Gaede P, Lund-Andersen H, Parving HH, Pedersen O. Effect of amulifactorial interventiion on mortality in type 2 diabetes. N EnglJ Med 2008;358:580–591.

16. Boden WE, O’Rourke RA, Teo KK, Hartigan PM, Maron DJ, KostukW, Knudtson M, Dada M, Casperson P, Harris CL, et al. Design andrationale of the Clinical Outcomes Utilizing Revascularization andAggressive DruG Evaluation (COURAGE) trial Veterans AffairsCooperative Studies Program no. 424. Am Heart J 2006;151:1173–1179.

17. The Multiple Risk Factor Intervention Trial Research Group. Mor-tality after 16 years for participants randomized to the Multiple RiskFactor Intervention Trial. Circulation 1996;94:946–951.

18. Schuijf JD, Pundziute G, Jukema JW, Lamb HJ, van der HoevenBL, de Roos A, van der Wall EE, Bax JJ. Diagnostic accuracy of64-slice multislice computed tomography in the noninvasive eval-uation of significant coronary artery disease. Am J Cardiol 2006;98:145–148.

19. Mazzone T. The role of electron beam computed tomography formeasuring coronary artery atherosclerosis. Curr Diab Rep 2004;4:20–25.

20. Anand DV, Lim E, Hopkins D, Corder R, Shaw LJ, Sharp P, LipkinD, Lahiri A. Risk stratification in uncomplicated type 2 diabetes:prospective evaluation of the combined use of coronary artery cal-cium imaging and selective myocardial perfusion scintigraphy. EurHeart J 2006;27:713–721.

21. Schuijf JD, Bax JJ, Shaw LJ, de Roos A, Lamb HJ, van der Wall EE,Wijns W. Meta-analysis of comparative diagnostic performance ofmagnetic resonance imaging and multislice computed tomographyfor noninvasive coronary angiography. Am Heart J 2006;151:404–411.

22. Hu FB, Stampfer MJ, Haffner SM, Solomon CG, Willett WC,Manson JE. Elevated risk of cardiovascular disease prior to clin-ical diagnosis of type 2 diabetes. Diabetes Care 2002;25:1129 –1134.

23. DeFronzo RA. Insulin resistance, lipotoxicity, type 2 diabetes andatherosclerosis: the missing links [the Claude Bernard Lecture 2009].Diabetologia 2010;53:1270–1287.

24. Kashyap SR, DeFronzo RA. The insulin resistance syndrome: phys-iological considerations. Diab Vasc Dis Res 2007;4:13–19.

25. DeFronzo RA, Ferrannini E. Insulin resistance: a multifaceted syn-drome responsible for NIDDM, obesity, hypertension, dyslipidemia,and atherosclerotic cardiovascular disease. Diabetes Care 1991;14:173–194.

26. DeFronzo RA. Is insulin resistance atherogenic? Possible mecha-nisms. Atheroscler Suppl 2006;7:11–15.

27. Koopmans SJ, Kushwaha RS, DeFronzo RA. Chronic physiologichyperinsulinemia impairs suppression of plasma free fatty acids andincreases de novo lipogenesis but does not cause dyslipidemia inconscious normal rats. Metabolism 1999;48:330–337.

28. Tobey TA, Greenfield M, Kraemer F, Reaven GM. Relationshipbetween insulin resistance, insulin secretion, very low density lipo-protein kinetics, and plasma triglyceride levels in normotriglycer-idemic man. Metabolism 1981;30:165–171.

29. Azzout-Marniche D, Becard D, Guichard C, Foretz M, Ferre P,Foufelle F. Insulin effects on sterol regulatory-element-binding pro-tein-1c (SREBP-1c) transcriptional activity in rat hepatocytes.Biochem J 2000;350(pt 2):389–393.

30. Stout RW. The effect of insulin on the incorporation of sodium(1-14C)-acetate into the lipids of the rat aorta. Diabetologia 1971;7:367–372.

131. King GL, Goodman AD, Buzney S, Moses A, Kahn CR. Receptors

and growth-promoting effects of insulin and insulinlike growth fac-

tors on cells from bovine retinal capillaries and aorta. J Clin Invest1985;75:1028–1036.

132. Coletta DK, Balas B, Chavez AO, Baig M, Abdul-Ghani M, KashyapSR, Folli F, Tripathy D, Mandarino LJ, Cornell JE, Defronzo RA,Jenkinson CP. Effect of acute physiological hyperinsulinemia ongene expression in human skeletal muscle in vivo. Am J PhysiolEndocrinol Metab 2008;294:E910–E917.

133. Nakao J, Ito H, Kanayasu T, Murota S. Stimulatory effect of insulinon aortic smooth muscle cell migration induced by 12-L-hydroxy-5,8,10,14-eicosatetraenoic acid and its modulation by elevated extra-cellular glucose levels. Diabetes 1985;34:185–191.

134. Pfeifle B, Ditschuneit H. Effect of insulin on growth of culturedhuman arterial smooth muscle cells. Diabetologia 1981;20:155–158.

135. Cruz AB Jr, Amatuzio DS, Grande F, Hay LJ. Effect of intra-arterialinsulin on tissue cholesterol and fatty acids in alloxan-diabetic dogs.Circ Res 1961;9:39–43.

136. Duff GL, McMillan GC. The effect of alloxan diabetes on experi-mental cholesterol atherosclerosis in the rabbit. J Exp Med 1949;89:611–630.

137. Stamler J, Pick R, Katz LN. Effect of insulin in the induction andregression of atherosclerosis in the chick. Circ Res 1960;8:572–576.

138. Koopmans SJ, Ohman L, Haywood JR, Mandarino LJ, DeFronzoRA. Seven days of euglycemic hyperinsulinemia induces insulinresistance for glucose metabolism but not hypertension, elevatedcatecholamine levels, or increased sodium retention in consciousnormal rats. Diabetes 1997;46:1572–1578.

139. Meehan WP, Buchanan TA, Hsueh W. Chronic insulin adminis-tration elevates blood pressure in rats. Hypertension 1994;23:1012–1017.

140. Del Prato S, Leonetti F, Simonson DC, Sheehan P, Matsuda M,DeFronzo RA. Effect of sustained physiologic hyperinsulinaemia andhyperglycaemia on insulin secretion and insulin sensitivity in man.Diabetologia 1994;37:1025–1035.

141. Iozzo P, Pratipanawatr T, Pijl H, Vogt C, Kumar V, Pipek R, MatsudaM, Mandarino LJ, Cusi KJ, DeFronzo RA. Physiological hyperinsu-linemia impairs insulin-stimulated glycogen synthase activity andglycogen synthesis. Am J Physiol Endocrinol Metab 2001;280:E712–E719.

142. Holman RR, Thorne KI, Farmer AJ, Davies MJ, Keenan JF, PaulS, Levy JC. Addition of biphasic, prandial, or basal insulin to oraltherapy in type 2 diabetes. N Engl J Med 2007;357:1716 –1730.

43. Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath CW Jr. Body-mass index and mortality in a prospective cohort of U.S. adults.N Engl J Med 1999;341:1097–1105.

44. Allison DB, Fontaine KR, Manson JE, Stevens J, VanItallie TB.Annual deaths attributable to obesity in the United States. JAMA1999;282:1530–1538.

45. Wang L, Sapuri-Butin AR, Aung HH, Parikh AN, Rutledge JC.Triglyceride-rich lipoprotein lipolysis increases aggregation of endo-thelial membrane microdomains an dproduces reactive oxygen spe-cies. Am J Physiol Heart Circ Physiol 2008;295:H237–H244.

46. Felton CV, Crook D, Davies MJ, Oliver MF. Relation of plaque lipidcomposition and morphology to the stability of human aortic plaques.Arterioscler Thromb Vasc Biol 1997;17:1337–1345.

47. Felton CV, Crook D, Davies MJ, Oliver MF. Dietary polyunsaturatedfatty acids and composition of human aortic plaques. Lancet 1994;344:1195–1196.

148. Bonadonna RC, Groop L, Kraemer N, Ferrannini E, Del Prato S,DeFronzo RA. Obesity and insulin resistance in humans: a dose-response study. Metabolism 1990;39:452–459.

149. Reaven GM. Role of insulin resistance in human disease [Bantinglecture 1988]. Diabetes 1988;37:1595–1607.

150. Reaven G. Insulin resistance, hypertension, and coronary heart dis-

ease. J Clin Hypertens 2003;5:269–274.
Page 17: 00029149_S0002914911X00115_S0002914911012148_main

19BDeFronzo and Abdul-Ghani/Cardiovascular Risk in Prediabetes: IGT and IFG

151. Ferrannini E, Buzzigoli G, Bonadonna R, Giorico MA, Oleggini M,Graziadei L, Pedrinelli R, Brandi L, Bevilacqua S. Insulin resistancein essential hypertension. N Engl J Med 1987;317:350–357.

152. Solini A, DeFronzo RA. Insulin resistance, hypertension, and cellularion transport systems. Acta Diabetologia 1992;29:196–200.

153. Law MR, Morris JK, Wald NJ. Use of blood pressure lowering drugsin the prevention of cardiovascular disease: meta-analysis of 147randomised trials in the context of expectations from prospectiveepidemiological studies. BMJ 2009;338:b1665.

154. DeFronzo RA. Insulin resistance: a multifaceted syndrome responsi-ble for NIDDM, obesity, hypertension, dyslipidaemia and atheroscle-rosis. Neth J Med 1997;50:191–197.

155. Rana JS, Visser ME, Arsenault BJ, Despres JP, Stroes ES, KasteleinJJ, Wareham NJ, Boekholdt SM, Khaw KT. Metabolic dyslipidemiaand risk of future coronary heart disease in apparently healthy menand women: the EPIC-Norfolk prospective population study. IntJ Cardiol 2010;143:299–404.

156. Stamler J, Vaccaro O, Neaton JD, Wentworth D. Diabetes, other riskfactors, and 12-yr cardiovascular mortality for men screened in theMultiple Risk Factor Intervention Trial. Diabetes Care 1993;16:434–444.

157. Sheu WH, Shieh SM, Fuh MM, Shen DD, Jeng CY, Chen YD, ReavenGM.Insulinresistance,glucoseintolerance,andhyperinsulinemia.Hypertri-glyceridemia versus hypercholesterolemia. Arterioscler Thromb 1993;13:367–370.

158. Jeppesen J, Hollenbeck CB, Zhou MY, Coulston AM, Jones C, ChenYD, Reaven GM. Relation between insulin resistance, hyperinsulin-emia, postheparin plasma lipoprotein lipase activity, and postprandiallipemia. Arterioscler Thromb Vasc Biol 1995;15:320–324.

159. Galvan AQ, Santoro D, Natali A, Sampietro T, Boni C, Masoni A,Buzzigoli G, Ferrannini E. Insulin sensitivity in familial hypercho-lesterolemia. Metabolism 1993;42:1359–1364.

160. Howard BV, Robbins DC, Sievers ML, Lee ET, Rhoades D,Devereux RB, Cowan LD, Gray RS, Welty TK, Go OT, HowardWJ. LDL cholesterol as a strong predictor of coronary heartdisease in diabetic individuals with insulin resistance and lowLDL: the Strong Heart Study. Arterioscler Thromb Vasc Biol2000;20:830 – 835.

161. Bressler P, Bailey SR, Matsuda M, DeFronzo RA. Insulin resistanceand coronary artery disease. Diabetologia 1996;39:1345–1350.

162. Paternostro G, Camici PG, Lammerstma AA, Marinho N, BaligaRR, Kooner JS, Radda GK, Ferrannini E. Cardiac and skeletalmuscle insulin resistance in patients with coronary heart disease:a study with positron emission tomography. J Clin Invest 1996;98:2094 –2099.

163. Iozzo P, Chareonthaitawee P, Dutka D, Betteridge DJ, Ferrannini E,Camici PG. Independent association of type 2 diabetes and coronaryartery disease with myocardial insulin resistance. Diabetes 2002;51:3020–3024.

164. Lautamaki R, Airaksinen KE, Seppanen M, Toikka J, Luotolahti M,Ball E, Borra R, Harkonen R, Iozzo P, Stewart M, Knuuti J, NuutilaP. Rosiglitazone improves myocardial glucose uptake in patients withtype 2 diabetes and coronary artery disease: a 16-week randomized,double-blind, placebo-controlled study. Diabetes 2005;54:2787–2794.

165. Gulli G, Ferrannini E, Stern M, Haffner S, DeFronzo RA. Themetabolic profile of NIDDM is fully established in glucose-tolerantoffspring of two Mexican-American NIDDM parents. Diabetes 1992;41:1575–1586.

166. Hanley AJ, Williams K, Stern MP, Haffner SM. Homeostasis modelassessment of insulin resistance in relation to the incidence of car-diovascular disease: the San Antonio Heart Study. Diabetes Care2002;25:1177–1184.

167. Bonora E, Kiechl S, Willeit J, Oberhollenzer F, Egger G, Meigs JB,Bonadonna RC, Muggeo M. Insulin resistance as estimated by ho-

meostasis model assessment predicts incident symptomatic cardio-

vascular disease in caucasian subjects from the general population:the Bruneck study. Diabetes Care 2007;30:318–324.

168. Bonora E, Formentini G, Calcaterra F, Lombardi S, Marini F, ZenariL, Saggiani F, Poli M, Perbellini S, Raffaelli A, et al. HOMA-estimated insulin resistance is an independent predictor of cardiovas-cular disease in type 2 diabetic subjects: prospective data from theVerona Diabetes Complications Study. Diabetes Care 2002;25:1135–1141.

169. Howard G, O’Leary DH, Zaccaro D, Haffner S, Rewers M, HammanR, Selby JV, Saad MF, Savage P, Bergman R, for the Insulin Resis-tance Atherosclerosis Study (IRAS) Investigators. Insulin sensitivityand atherosclerosis. Circulation 1996;93:1809–1817.

170. Hedblad B, Nilsson P, Janzon L, Berglund G. Relation betweeninsulin resistance and carotid intima-media thickness and stenosis innon-diabetic subjects: results from a cross-sectional study in Malmo,Sweden. Diabet Med 2000;17:299–307.

171. Ferrannini E, Balkau B, Coppack SW, Dekker JM, Mari A, Nolan J,Walker M, Natali A, Beck-Nielsen H. Insulin resistance, insulinresponse, and obesity as indicators of metabolic risk. J Clin Endo-crinol Metab 2007;92:2885–2892.

172. D’Agostino RB Sr, Grundy S, Sullivan LM, Wilson P. Validationof the Framingham coronary heart disease prediction scores: re-sults of a multiple ethnic groups investigation. JAMA 2001;286:180 –187.

173. Wilson PW, D’Agostino RB, Levy D, Belanger AM, Silbershatz H,Kannel WB. Prediction of coronary heart disease using risk factorcategories. Circulation 1998;97:1837–1847.

174. Golden SH, Folsom AR, Coresh J, Sharrett AR, Szklo M, Brancati F.Risk factor groupings related to insulin resistance and their synergis-tic effects on subclinical atherosclerosis: the Atherosclerosis Risk inCommunities Study. Diabetes 2002;51:3069–3076.

175. Uusitupa MI, Niskanen LK, Siitonen O, Voutilainen E, Pyorala K.Ten-year cardiovascular mortality in relation to risk factors andabnormalities in lipoprotein composition in type 2 (non-insulin-de-pendent) diabetic and non-diabetic subjects. Diabetologia 1993;36:1175–1184.

176. Gerstein HC. Is glucose a continuous risk factor for cardiovascularmortality? Diabetes Care 1999;22:659–660.

177. UK Prospective Diabetes Study (UKPDS) Group. Intensive blood-glucose control with sulphonylureas or insulin compared with con-ventional treatment and risk of complications in patients with type 2diabetes (UKPDS 33). Lancet 1998;352:837–853.

178. Stratton IM, Cull CA, Adler AI, Matthews DR, Neil HA, HolmanRR. Additive effects of glycaemia and blood pressure exposure onrisk of complications in type 2 diabetes: a prospective observationalstudy (UKPDS 75). Diabetologia 2006;49:1761–1769.

179. Holman RR, Paul SK, Bethel MA, Neil HA, Matthews DR. Long-term follow-up after tight control of blood pressure in type 2 diabetes.N Engl J Med 2008;359:1565–1576.

180. Nathan DM, Cleary PA, Backlund JY, Genuth SM, Lachin JM,Orchard TJ, Raskin P, Zinman B. Intensive diabetes treatment andcardiovascular disease in patients with type 1 diabetes. N Engl J Med2005;353:2643–2653.

181. Gerstein HC, Miller ME, Byington RP, Goff DC Jr, Bigger JT, BuseJB, Cushman WC, Genuth S, Ismail-Beigi F, Grimm RH Jr, et al.Effects of intensive glucose lowering in type 2 diabetes. N EnglJ Med 2008;358:2545–2559.

182. Patel A, MacMahon S, Chalmers J, Neal B, Billot L, Woodward M,Marre M, Cooper M, Glasziou P, Grobbee D, et al. Intensive bloodglucose control and vascular outcomes in patients with type 2 dia-betes. N Engl J Med 2008;358:2560–2572.

183. Dormandy JA, Charbonnel B, Eckland DJ, Erdmann E, Massi-Bene-detti M, Moules IK, Skene AM, Tan MH, Lefebvre PJ, Murray GD,et al. Secondary prevention of macrovascular events in patients withtype 2 diabetes in the PROactive Study (PROspective pioglitAzoneClinical Trial In macroVascular Events): a randomised controlled

trial. Lancet 2005;366:1279–1289.
Page 18: 00029149_S0002914911X00115_S0002914911012148_main

1

1

1

1

1

1

1

2

2

2

2

2

20B The American Journal of Cardiology (www.AJConline.org) Vol 108 (3S) August 2, 2011

184. Betteridge DJ, DeFronzo RA, Chilton RJ. PROactive: time for acritical appraisal. Eur Heart J 2008;29:969–983.

85. Chiasson JL, Josse RG, Gomis R, Hanefeld M, Karasik A, Laakso M.Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomised trial. Lancet 2002;359:2072–2077.

86. Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, LachinJM, Walker EA, Nathan DM, for the Diabetes Prevention ProgramResearch Group. Reduction in the incidence of type 2 diabetes withlifestyle intervention or metformin. N Engl J Med 2002;346:393–403.

87. Tuomilehto J, Lindström J, Eriksson JG, Valle TT, Hämäläinen H,Ilanne-Parikka P, Keinänen-Kiukaanniemi S, Laakso M, LouherantaA, Rastas M, et al, for the Finnish Diabetes Prevention Study Group.Prevention of type 2 diabetes mellitus by changes in lifestyle amongsubjects with impaired glucose tolerance. N Engl J Med 2001;344:1343–1350.

88. Abdul-Ghani MA, Lyssenko V, Tuomi T, DeFronzo RA, Groop L.Fasting versus postload plasma glucose concentration and the risk forfuture type 2 diabetes: results from the Botnia Study. Diabetes Care2009;32:281–286.

89. Eriksson KF, Lindgärde F. Prevention of type 2 (non-insulin-depen-dent) diabetes mellitus by diet and physical exercise: the 6-yearMalmö feasibility study. Diabetologia 1991;34:891–898.

90. Knowler WC, Hamman RF, Edelstein SL, Barrett-Connor E,Ehrmann DA, Walker EA, Fowler SE, Nathan DM, Kahn SE, for theDiabetes Prevention Program Research Group. Prevention of type 2diabetes with troglitazone in the Diabetes Prevention Program. Dia-betes 2005;54:1150–1156.

91. Berkowitz K, Peters R, Kjos SL, Goico J, Marroquin A, Dunn ME,Xiang A, Azen S, Buchanan TA. Effect of troglitazone on insulinsensitivity and pancreatic �-cell function in women at high risk forNIDDM. Diabetes 1996;45:1572–1579.

192. Xiang AH, Peters RK, Kjos SL, Marroquin A, Goico J, Ochoa C,Kawakubo M, Buchanan TA. Effect of pioglitazone on pancreaticbeta-cell function and diabetes risk in Hispanic women with priorgestational diabetes. Diabetes 2006;55:517–522.

193. Gerstein HC, Yusuf S, Bosch J, Pogue J, Sheridan P, Dinccag N,Hanefeld M, Hoogwerf B, Laakso M, Mohan V, et al, for theDREAM (Diabetes REduction Assessment with ramipril and rosigli-tazone Medication) Trial Investigators. Effect of rosiglitazone on thefrequency of diabetes in patients with impaired glucose tolerance orimpaired fasting glucose: a randomised controlled trial. Lancet 2006;368:1096–1105.

194. DeFronzo RA, Tripathy D, Schwenke DC, Banerji M, Bray GA,Buchanan TA, Clement SC, Henry RR, Hodis HN, Kitabchi AE, et al,for the ACT NOW Study group. Pioglitazone for diabetes preventionin impaired glucose tolerance. N Engl J Med 2011;364:1104–1115.

195. Zinman B, Harris SB, Neuman J, Gerstein HC, Retnakaran RR,Raboud J, Qi Y, Hanley AJ. Low-dose combination therapy withrosiglitazone and metformin to prevent type 2 diabetes mellitus (CA-NOE trial): a double-blind randomised controlled study. Lancet 2010;376:103–111.

196. Kawamori R, Tajima N, Iwamoto Y, Kashiwagi A, Shimamoto K,Kaku K, for the Voglibose Ph-3 Study Group. Voglibose for preven-tion of type 2 diabetes mellitus: a randomised, double-blind trial inJapanese individuals with impaired glucose tolerance. Lancet 2009;373:1607–1614.

197. Torgerson JS, Hauptman J, Boldrin MN, Sjöström L. XENical in theprevention of diabetes in obese subjects (XENDOS) study: a ran-domized study of orlistat as an adjunct to lifestyle changes for theprevention of type 2 diabetes in obese patients. Diabetes Care 2004;27:155–161.

198. Ramachandran A, Snehalatha C, Mary S, Mukesh B, Bhaskar AD,Vijay V, for the Indian Diabetes Prevention Programme (IDPP). TheIndian Diabetes Prevention Programme shows that lifestyle modifi-

cation and metformin prevent type 2 diabetes in Asian Indian subjects

with impaired glucose tolerance (IDPP-1). Diabetologia2006;49:289–297.

199. Venditti EM, Bray GA, Carrion-Petersen ML, Delahanty LM, Edel-stein SL, Hamman RF, Hoskin MA, Knowler WC, Ma Y, for theDiabetes Prevention Program Research Group. First versus repeattreatment with a lifestyle intervention program: attendance andweight loss outcomes. Int J Obes (Lond) 2008;32:1537–1554.

200. Saaristo T, Moilanen L, Korpi-Hyövälti E, Vanhala M, Saltevo J,Niskanen L, Jokelainen J, Peltonen M, Oksa H, Tuomilehto J, Uus-itupa M, Keinänen-Kiukaanniemi S. Lifestyle intervention for pre-vention of type 2 diabetes in primary health care: one-year follow-upof the Finnish National Diabetes Prevention Program (FIN-D2D).Diabetes Care 2010;33:2146–2151.

201. Nathan DM, Davidson MB, DeFronzo RA, Heine RJ, Henry RR,Pratley R, Zinman B, for the American Diabetes Association. Im-paired fasting glucose and impaired glucose tolerance: implicationsfor care. Diabetes Care 2007;30:753–759.

202. Nissen SE, Wolski K. Effect of rosiglitazone on the risk of myocar-dial infarction and death from cardiovascular causes. N Engl J Med2007;356:2457–2471.

203. Lincoff AM, Wolski K, Nicholls SJ, Nissen SE. Pioglitazone andrisk of cardiovascular events in patients with type 2 diabetesmellitus: a meta-analysis of randomized trials. JAMA 2007;298:1180 –1188.

204. Miyazaki M, De Filippis E, Bajaj M, Wajcberg E, Glass L, Triplitt C,Cersosimo E, Mandarino LJ, DeFronzo RA. Predictors of improvedglycaemic control with rosiglitazone therapy in type 2 diabetic pa-tients: a practical approach for the primary care physician. Br JDiabetes Vasc Dis 2005;5:28–35.

205. Miyazaki Y, Glass L, Triplitt C, Wajcberg E, Mandarino L, De-Fronzo RA. Abdominal fat distribution and peripheral and hepaticinsulin resistance in type 2 diabetes mellitus. Am J Physiol Endocri-nol Metab 2002;46:E1135–E1143.

206. Rosenzweig JL, Ferrannini E, Grundy SM, Haffner SM, Heine RJ,Horton ES, Kawamori R, for the Endocrine Society. Primary preven-tion of cardiovascular disease and type 2 diabetes in patients atmetabolic risk: an endocrine society clinical practice guideline. J ClinEndocrinol Metab 2008 ;93:3671–3689.

207. Mokdad AH, Ford ES, Bowman BA, Dietz WH, Vinicor F, Bales VS,Marks JS. Prevalence of obesity, diabetes, and obesity-related healthrisk factors, 2001. JAMA 2003;289:76–79.

208. American Diabetes Assocation. 2006 Standards of medical care indiabetes—2006. Diabetes Care 2006;29(suppl 1):S4–S42.

209. Sigal RJ, Kenny GP, Wasserman DH, Castaneda-Sceppa C, WhiteRD. Physical activity/exercise and type 2 diabetes: a consensus state-ment from the American Diabetes Association. Diabetes Care 2006;29:1433–1438.

10. Jones LR, Wilson CI, Wadden TA. Lifestyle modification in thetreatment of obesity: an educational challenge and opportunity. ClinPharmacol Ther 2007;81:776–779.

11. Berry C, Tardif JC, Bourassa MG. Coronary heart disease in patientswith diabetes. Part I: recent advances in prevention and noninvasivemanagement. J Am Coll Cardiol 2007;49:631–642.

12. Lichtenstein AH, Appel LJ, Brands M, Carnethon M, Daniels S,Franch HA, Franklin B, Kris-Etherton P, Harris WS, Howard B et al.Diet and lifestyle recommendations revision 2006: a scientific state-ment from the American Heart Association Nutrition Committee.Circulation 2006;114:82–96.

13. Kitabchi AE, Temprosa M, Knowler WC, Kahn SE, Fowler SE,Haffner SM, Andres R, Saudek C, Edelstein SL, Arakaki R, MurphyMB, Shamoon H, for the Diabetes Prevention Program ResearchGroup. Role of insulin secretion and sensitivity in the evolution oftype 2 diabetes in the diabetes prevention program: effects of lifestyleintervention and metformin. Diabetes 2005;54:2404–2414.

14. Saaristo T, Moilanen L, Korpi-Hyövälti E, Vanhala M, Saltevo J,Niskanen L, Jokelainen J, Peltonen M, Oksa H, Tuomilehto J, Uus-

itupa M, Keinänen-Kiukaanniemi S. Lifestyle intervention for pre-
Page 19: 00029149_S0002914911X00115_S0002914911012148_main

2

2

2

2

2

2

2

2

2

2

2

2

2

2

2

2

2

21BDeFronzo and Abdul-Ghani/Cardiovascular Risk in Prediabetes: IGT and IFG

vention of type 2 diabetes in primary health care: one-year follow-upof the Finnish National Diabetes Prevention Program (FIN-D2D).Diabetes Care 2010;33:2146–2151.

15. DeFronzo RA, Soman V, Sherwin RS, Hendler R, Felig P. Insulinbinding to monocytes and insulin action in human obesity, starvation,and refeeding. J Clin Invest 1978;62:204–213.

16. Henry RR, Wallace P, Olefsky JM. Effects of weight loss on mech-anisms of hyperglycemia in obese non-insulin-dependent diabetesmellitus. Diabetes 1986;35:990–998.

17. Goldhaber-Fiebert JD, Goldhaber-Fiebert SN, Tristán ML, NathanDM. Randomized controlled community-based nutrition and exerciseintervention improves glycemia and cardiovascular risk factors intype 2 diabetic patients in rural Costa Rica. Diabetes Care 2003;26:24–29.

218. Ryan DH, Espeland MA, Foster GD, Haffner SM, Hubbard VS,Johnson KC, Kahn SE, Knowler WC, Yanovski SZ. Look AHEAD(Action for Health in Diabetes): design and methods for a clinicaltrial of weight loss for the prevention of cardiovascular disease intype 2 diabetes. Control Clin Trials 2003;24:610–628.

219. Franz MJ, Bantle JP, Beebe CA, Brunzell JD, Chiasson JL, Garg A,Holzmeister LA, Hoogwerf B, Mayer-Davis E, Mooradian AD, Pur-nell JQ, Wheeler M. Nutrition principles and recommendations indiabetes. Diabetes Care 2004;27(suppl 1):S36–S46.

220. Church TS, Cheng YJ, Earnest CP, Barlow CE, Gibbons LW, PriestEL, Blair SN. Exercise capacity and body composition as predictorsof mortality among men with diabetes. Diabetes Care 2004;27:83–88.

221. Sigal RJ, Kenny GP, Wasserman DH, Castaneda-Sceppa C. Physicalactivity/exercise and type 2 diabetes. Diabetes Care 2004;27:2518–2539.

222. Wei M, Gibbons LW, Kampert JB, Nichaman MZ, Blair SN. Lowcardiorespiratory fitness and physical inactivity as predictors of mor-tality in men with type 2 diabetes. Ann Intern Med 2000;132:605–611.

223. Hu FB, Stampfer MJ, Solomon C, Liu S, Colditz GA, Speizer FE,Willett WC, Manson JE. Physical activity and risk for cardiovascularevents in diabetic women. Ann Intern Med 2001;134:96–105.

224. Batty GD, Shipley MJ, Marmot M, Smith GD. Physical activity andcause-specific mortality in men with Type 2 diabetes/impaired glu-cose tolerance: evidence from the Whitehall study. Diabet Med 2002;19:580–588.

225. Gregg EW, Gerzoff RB, Caspersen CJ, Williamson DF, NarayanKM. Relationship of walking to mortality among US adults withdiabetes. Arch Intern Med 2003;163:1440–1447.

26. Tanasescu M, Leitzmann MF, Rimm EB, Hu FB. Physical activity inrelation to cardiovascular disease and total mortality among men withtype 2 diabetes. Circulation 2003;107:2435–2439.

27. DeFronzo RA, Tobin JD, Andres R. Glucose clamp technique: amethod for quantifying insulin secretion and resistance. Am J Physiol1979;237:E214–E223.

228. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF,Turner RC. Homeostasis model assessment: insulin resistance and�-cell function from fasting plasma glucose and insulin concentra-tions in man. Diabetologia 1985;28:412–419.

29. Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained fromoral glucose tolerance testing: comparison with the euglycemic insu-lin clamp. Diabetes Care 1999;22:1462–1470.

30. Stern SE, Williams K, Ferrannini E, DeFronzo RA, Bogardus C,Stern MP. Identification of individuals with insulin resistance usingroutine clinical measurements. Diabetes 2005;54:333–339.

31. McLaughlin T, Reaven G, Abbasi F, Lamendola C, Saad M, WatersD, Simon J, Krauss RM. Is there a simple way to identify insulin-resistant individuals at increased risk of cardiovascular disease? Am JCardiol 2005;96:399–404.

32. Ferrannini E, Balkau B, Coppack SW, Dekker JM, Mari A, Nolan

J, Walker M, Natali A, Beck-Nielsen H, for the RISC Investiga-

tors. Insulin resistance, insulin response, and obesity as indicatorsof metabolic risk. J Clin Endocrinol Metab 2007;92:2885–2892.

33. Savva SC, Tornartis M, Savva ME, Kourides Y, Panagi A, SilikiotouN, Georgiou C, Kafatos A. Waist circumfernce and waist-to-heightratio are better predictors of cardiovascular disease risk factors inchildren than body mass index. Nature 2000;24:1453–1458.

34. Alexander CM, Landsman PB, Teutsch SM, Haffner SM, for theThird National Health and Nutrition Examination Survey (NHANESIII) and the National Cholesterol Education Program (NCEP). NCEP-defined metabolic syndrome, diabetes, and prevalence of coronaryheart disease among NHANES III participants age 50 years andolder. Diabetes 2003;52:1210–1214.

35. Miyazaki Y, He H, Mandarino LJ, DeFronzo RA. Rosiglitazoneimproves downstream insulin receptor signaling in type 2 diabeticpatients. Diabetes 2003;52:1943–1950.

236. Bajaj M, Baig R, Suraamornkul S, Hardies LJ, Coletta DK, ClineGW, Monroy A, Koul S, Sriwijitkamol A, Musi N, Shulman GI,DeFronzo RA. Effects of pioglitazone on intramyocellular fat me-tabolism in patients with type 2 diabetes mellitus. J Clin EndocrinolMetab 2010;95:1916–1923.

237. Yki-Järvinen H. Thiazolidinediones. N Engl J Med 2004;351:1106–1118.

38. Gastaldelli A, Ferrannini E, Miyazaki Y, Matsuda M, Mari A, De-Fronzo RA. Thiazolidinediones improve �-cell function in type 2diabetic patients. Am J Physiol 2007;292:E871-E833.

39. Bays H, Mandarino L, DeFronzo RA. Role of the adipocyte, free fattyacids, and ectopic fat in pathogenesis of type 2 diabetes mellitus:peroxisomal proliferator-activated receptor agonists provide a ratio-nal therapeutic approach. J Clin Endocrinol Metab 2004;89:463–478.

40. Mazzone T. Strategies in ongoing clinical trials to reduce cardiovas-cular disease in patients with diabetes mellitus and insulin resistance.Am J Cardiol 2004;93(suppl):27C–31C.

41. Natali A, Ferrannini E. Effects of metformin and thiazolidinedioneson suppression of hepatic glucose production and stimulation ofglucose uptake in type 2 diabetes: a systematic review. Diabetologia2006;49:434–441.

42. Cusi K, Consoli A, DeFronzo RA. Metabolic effects of metformin onglucose and lactate metabolism in noninsulin-dependent diabetesmellitus. J Clin Endocrinol Metab 1996;81:4059–4067.

243. Cusi K, DeFronzo RA. Metformin: a review of its metabolic effects.Diabetes Rev 1998;6:89–131.

244. UK Prospective Diabetes Study (UKPDS) Group. Effect of intensiveblood-glucose control with metformin on complications in over-weight patients with type 2 diabetes (UKPDS 34). Lancet 1998;352:854–865.

245. Colhoun HM, Betteridge DJ, Durrington PN, Hitman GA, Neil HA,Livingstone SJ, Thomason MJ, Mackness MI, Charlton-Menys V,Fuller JH, for the CARDS investigators. Primary prevention of car-diovascular disease with atorvastatin in type 2 diabetes in the Col-laborative Atorvastatin Diabetes Study (CARDS): multicentre ran-domised placebo-controlled trial. Lancet 2004;364:685–696.

246. Stokes J, 3rd, Kannel WB, Wolf PA, Cupples LA, D’Agostino RB.The relative importance of selected risk factors for various manifes-tations of cardiovascular disease among men and women from 35 to64 years old: 30 years of follow-up in the Framingham Study.Circulation 1987;75:V65–V73.

247. Schneider CA. Improving macrovascular outcomes in type 2 diabe-tes: outcome studies in cardiovascular risk and metabolic control.Curr Med Res Opin 2006;22(suppl 2):S15–S26.

248. Rydén L, Standl E, Bartnik M, Van den Berghe G, Betteridge J, deBoer MJ, Cosentino F, Jönsson B, Laakso M, Malmberg K, et al, forthe Task Force on Diabetes and Cardiovascular Diseases of theEuropean Society of Cardiology (ESC) and the European Associationfor the Study of Diabetes (EASD). Guidelines on diabetes, pre-diabetes, and cardiovascular diseases: executive summary. The Task

Force on Diabetes and Cardiovascular Diseases of the European
Page 20: 00029149_S0002914911X00115_S0002914911012148_main

22B The American Journal of Cardiology (www.AJConline.org) Vol 108 (3S) August 2, 2011

Society of Cardiology (ESC) and of the European Association for theStudy of Diabetes (EASD). Eur Heart J 2007;28:88–136.

249. Turner RC, Millns H, Neil HA, Stratton IM, Manley SE, MatthewsDR, Holman RR. Risk factors for coronary artery disease in non-insulin dependent diabetes mellitus: United Kingdom ProspectiveDiabetes Study (UKPDS: 23). BMJ 1998;316:823–828.

250. Lamarche B, St-Pierre AC, Ruel IL, Cantin B, Dagenais GR, DesprésJP. A prospective, population-based study of low-density lipoproteinparticle size as a risk factor for ischemic heart disease in men. CanJ Cardiol 2001;17:859–865.

251. Keech A, Simes RJ, Barter P, Best J, Scott R, Taskinen MR, ForderP, Pillai A, Davis T, Glasziou P, et al. Effects of long-term fenofibratetherapy on cardiovascular events in 9795 people with type 2 diabetesmellitus (the FIELD study): randomised controlled trial. Lancet 2005;366:1849–1861.

252. Stamler J, Vaccaro O, Neaton JD, Wentworth D. Diabetes, other riskfactors, and 12-yr cardiovascular mortality for men screened in theMultiple Risk Factor Intervention Trial. Diabetes Care 1993;16:434–444.

253. Reaven GM. Role of insulin resistance in human disease [Bantinglecture 1988]. Diabetes 1988;37:1595–1607.

254. Heart Protection Study Collaborative Group. MRC/BHF Heart Pro-tection Study of cholesterol lowering with simvastatin in 20,536high-risk individuals: a randomised placebo-controlled trial. Lancet2002;360:7–22.

255. Collins R, Armitage J, Parish S, Sleigh P, Peto R. MRC/BHF HeartProtection Study of cholesterol-lowering with simvastatin in 5963people with diabetes: a randomised placebo-controlled trial. Lancet2003;361:2005–2016.

256. Pyorala K, Pedersen TR, Kjekshus J, Faergeman O, Olsson AG,Thorgeirsson G. Cholesterol lowering with simvastatin improvesprognosis of diabetic patients with coronary heart disease: a subgroupanalysis of the Scandinavian Simvastatin Survival Study (4S). Dia-betes Care 1997;20:614–620.

257. Goldberg RB, Mellies MJ, Sacks FM, Moye LA, Howard BV, How-ard WJ, Davis BR, Cole TG, Pfeffer MA, Braunwald E, for theCARE Investigators. Cardiovascular events and their reduction withpravastatin in diabetic and glucose-intolerant myocardial infarctionsurvivors with average cholesterol levels: subgroup analyses in theCholesterol and Recurrent Events (CARE) trial. Circulation 1998;98:2513–2519.

258. 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 atorva-statin in type 2 diabetes in the Collaborative Atorvastatin DiabetesStudy (CARDS): multicentre randomised placebo-controlled trial.Lancet 2004;364:685–696.

259. Shepherd J, Barter P, Carmena R, Deedwania P, Fruchart JC, HaffnerS, Hsia J, Breazna A, LaRosa J, Grundy S, Waters D. Effect oflowering LDL cholesterol substantially below currently recom-mended levels in patients with coronary heart disease and diabetes:the Treating to New Targets (TNT) study. Diabetes Care 2006;29:1220–1226.

260. Ridker PM, Danielsen E, Fonseca FAH, Genest J, Gotto AM,Kastelein JJP, Koenig W, Libby P, Lorenzatti AJ, MacFadyen JG,et al. Rosuvastatin to prevent vascualr events in men and womenwith elevated C-reactive protein. N Engl J Med 2008;359:2195–2207.

261. Buse JB, Ginsberg HN, Bakris GL, Clark NG, Costa F, Eckel R,Fonseca V, Gerstein HC, Grundy S, Nesto RW, et al. Primaryprevention of cardiovascular diseases in people with diabetesmellitus: a scientific statement from the American Heart Associ-ation and the American Diabetes Association. Circulation 2007;115:114 –126.

262. Brunzell JD, Davidson M, Furberg CD, Goldberg RB, Howard BV,Stein JH, Witztum JL. Lipoprotein management in patients with

cardiometabolic risk: consensus statement from the American Dia-

betes Association and the American College of CardiologyFoundation. Diabetes Care 2008;31:811–822.

263. Mora S, Szklo M, Otvos JD, Greenland P, Psaty BM, Goff DC Jr,O’Leary DH, Saad MF, Tsai MY, Sharrett AR. LDL particle sub-classes, LDL particle size, and carotid atherosclerosis in the Multi-Ethnic Study of Atherosclerosis (MESA). Atherosclerosis 2007;192:211–217.

264. Kuller L, Arnold A, Tracy R, Otvos J, Burke G, Psaty B, SiscovickD, Freedman DS, Kronmal R. 2002 Nuclear magnetic resonancespectroscopy of lipoproteins and risk of coronary heart disease in theCardiovascular Health Study. Arterioscler Thromb Vasc Biol 2002;22:1175–1180.

265. Rosenson RS, Otvos JD, Freedman DS. Relations of lipoproteinsubclass levels and low-density lipoprotein size to progression ofcoronary artery disease in the Pravastatin Limitation of Atheroscle-rosis in the Coronary Arteries (PLAC-I) trial. Am J Cardiol 2002;90:89–94.

266. Blake GJ, Otvos JD, Rifai N, Ridker PM. Low-density lipoproteinparticle concentration and size as determined by nuclear magneticresonance spectroscopy as predictors of cardiovascular disease inwomen. Circulation 2002;106:1930–1937.

267. Otvos JD, Collins D, Freedman DS, Shalaurova I, Schaefer EJ,McNamara JR, Bloomfield HE, Robins SJ. Low-density lipoproteinand high-density lipoprotein particle subclasses predict coronaryevents and are favorably changed by gemfibrozil therapy in theVeterans Affairs High-Density Lipoprotein Intervention Trial. Cir-culation 2006;113:1556–1563.

268. El Harchaoui K, van der Steeg WA, Stroes ES, Kuivenhoven JA,Otvos JD, Wareham NJ, Hutten BA, Kastelein JJ, Khaw KT, Boek-holdt SM. Value of low-density lipoprotein particle number and sizeas predictors of coronary artery disease in apparently healthy men andwomen: the EPIC-Norfolk Prospective Population Study. J Am CollCardiol 2007;49:547–553.

269. Sacks FM, Campos H. Cardiovascular endocrinology: Low-densitylipoprotein size and cardiovascular disease: a reappraisal [clinicalreview 163]. J Clin Endocrinol Metab 2003;88:4525–4532.

270. Lamarche B, Tchernof A, Moorjani S, Cantin B, Dagenais GR,Lupien PJ, Despres JP. Small, dense low-density lipoprotein particlesas a predictor of the risk of ischemic heart disease in men: prospectiveresults from the Quebec Cardiovascular Study. Circulation 1997;95:69–75.

271. Castelli WP, Garrison RJ, Wilson PW, Abbott RD, Kalousdian S,Kannel WB. Incidence of coronary heart disease and lipoproteincholesterol levels: the Framingham Study. JAMA 1986;256:2835–2838.

272. Sharrett AR, Ballantyne CM, Coady SA, Heiss G, Sorlie PD, Catel-lier D, Patsch W. Coronary heart disease prediction from lipoproteincholesterol levels, triglycerides, lipoprotein(a), apolipoproteins A-Iand B, and HDL density subfractions: the Atherosclerosis Risk inCommunities (ARIC) Study. Circulation 2001;104:1108–1113.

273. Grundy SM, Cleeman JI, Merz CN, Brewer HB Jr, Clark LT,Hunninghake DB, Pasternak RC, Smith SC Jr, Stone NJ. Impli-cations of recent clinical trials for the National Cholesterol Edu-cation Program Adult Treatment Panel III guidelines. Circulation2004;110:227–239.

274. Singh IM, Shishehbor MH, Ansell BJ. High-density lipoprotein asa therapeutic target: a systematic review. JAMA 2007;298:786 –798.

275. Robins SJ, Collins D, Wittes JT, Papademetriou V, Deedwania PC,Schaefer EJ, McNamara JR, Kashyap ML, Hershman JM, WexlerLF, et al. Relation of gemfibrozil treatment and lipid levels withmajor coronary events. VA-HIT: a randomized controlled trial. JAMA2001;285:1585–1591.

276. Goldberg RB, Kendall DM, Deeg MA, Buse JB, Zagar AJ, PinaireJA, Tan MH, Khan MA, Perez AT, Jacober SJ. A comparison of lipid

and glycemic effects of pioglitazone and rosiglitazone in patients
Page 21: 00029149_S0002914911X00115_S0002914911012148_main

2

2

2

2

2

2

2

2

2

2

2

2

2

2

2

23BDeFronzo and Abdul-Ghani/Cardiovascular Risk in Prediabetes: IGT and IFG

with type 2 diabetes and dyslipidemia. Diabetes Care2005;28:1547–1554.

277. Chiquette E, Ramirez G, DeFronzo R. A meta-analysis comparing theeffect of thiazolidinediones on cardiovascular risk factors. Arch In-tern Med 2004;164:2097–2104.

78. Kraus WE, Houmard JA, Duscha BD, Knetzger KJ, Wharton MB,McCartney JS, Bales CW, Henes S, Samsa GP, Otvos JD, KulkarniKR, Slentz CA. Effects of the amount and intensity of exercise onplasma lipoproteins. N Engl J Med 2002;347:1483–1492.

79. Tholstrup T, Hellgren LI, Petersen M, Basu S, Straarup EM, SchnohrP, Sandström B. A solid dietary fat containing fish oil redistributeslipoprotein subclasses without increasing oxidative stress in men. JNutr 2004;134:1051–1057.

80. Sarwar N, Danesh J, Eiriksdottir G, Sigurdsson G, Wareham N,Bingham S, Boekholdt SM, Khaw KT, Gudnason V. Triglyceridesand the risk of coronary heart disease: 10,158 incident cases among262,525 participants in 29 Western prospective studies. Circulation2007;115:450–458.

81. Clofibrate and niacin in coronary heart disease. JAMA 1975;231:360–381.

82. Frick MH, Elo O, Haapa K, Heinonen OP, Heinsalmi P, Helo P,Huttunen JK, Kaitaniemi P, Koskinen P, Manninen V, et al. HelsinkiHeart Study: primary prevention trial with gemfibrozil in middle-aged men with dyslipidemia. Safety of treatment, changes in riskfactors, and incidence of coronary heart disease. N Engl J Med1987;317:1237–1245.

83. The BIP Study Group. Secondary prevention by raising HDL cho-lesterol and reducing triglycerides in patients with coronary arterydisease: the Bezafibrate Infarction Prevention (BIP) study. Circula-tion 2000;102:21–27.

84. Gerstein HC, Miller ME, Byington RP, Goff DC Jr, Bigger JT, BuseJB, Cushman WC, Genuth S, Ismail-Beigi F, Grimm RH Jr, et al, forthe Action to Control Cardiovascular Risk in Diabetes Study Group.Effects of intensive glucose lowering in type 2 diabetes. N EnglJ Med 2008;358:2545–2559.

85. Lu W, Resnick HE, Jablonski KA, Jones KL, Jain AK, Howard WJ,Robbins DC, Howard BV. Non-HDL cholesterol as a predictor ofcardiovascular disease in type 2 diabetes: the Strong Heart Study.Diabetes Care 2003;26:16–23.

86. Liu J, Sempos C, Donahue RP, Dorn J, Trevisan M, Grundy SM.Joint distribution of non-HDL and LDL cholesterol and coronaryheart disease risk prediction among individuals with and withoutdiabetes. Diabetes Care 2005;28:1916–1921.

87. Pischon T, Girman CJ, Sacks FM, Rifai N, Stampfer MJ, Rimm EB.Non-high-density lipoprotein cholesterol and apolipoprotein B in theprediction of coronary heart disease in men. Circulation 2005;112:3375–3383.

88. Ginsberg HN, Elam MB, Lovato LC, Crouse JR III, Leiter LA, LinzP, Friedewald WT, Buse JB, Gerstein HC, Probstfield J, et al. Effectsof combination lipid therapy in type 2 diabetes mellitus. N EnglJ Med 2010;362:1563–1574.

89. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA,Izzo JL Jr, Jones DW, Materson BJ, Oparil S, Wright JT Jr, RoccellaEJ, for the National Heart, Lung, and Blood Institute Joint NationalCommittee on Prevention, Detection, Evaluation, and Treatment ofHigh Blood Pressure and the National High Blood Pressure Educa-tion Program Coordinating Committee. The Seventh Report of theJoint National Committee on Prevention, Detection, Evaluation, andTreatment of High Blood Pressure: the JNC 7 report. JAMA 2003;289:2560–2572.

90. Law MR, Morris JK, Wald NJ. Use of blood pressure lowering drugsin the prevention of cardiovascular disease: meta-analysis of 147randomised trials in the context of expectations from prospectiveepidemiological studies. BMJ 2009;338:b1665.

91. Salomaa VV, Strandberg TE, Vanhanen H, Naukkarinen V, Sarna S,Miettinen TA. Glucose tolerance and blood pressure: long term

follow up in middle aged men. BMJ 1991;302:493–496.

92. Segura J, Ruilope LM. Treatment of prehypertension in diabetes andmetabolic syndrome: what are the pros? Diabetes Care 2009;32(suppl 2):S284–S289.

293. Golden SH, Folsom AR, Coresh J, Sharrett AR, Szklo M, Brancati F.Risk factor groupings related to insulin resistance and their synergis-tic effects on subclinical atherosclerosis: the Atherosclerosis Risk inCommunities Study. Diabetes 2002;51:3069–3076.

294. Assmann G, Cullen P, Schulte H. Simple scoring scheme for calcu-lating the risk of acute coronary events based on the 10-year fol-low-up of the Prospective Cardiovascular Munster (PROCAM)study. Circulation 2002;105:310–315.

295. Zhang Y, Lee ET, Devereux RB, Yeh J, Best LG, Fabsitz RR,Howard BV. Prehypertension, diabetes, and cardiovascular diseaserisk in a population-based sample: the Strong Heart Study. Hyper-tension 2006;47:410–414.

296. Lewington S, Clarke R, Qizilbash N, Peto R, Collins R. Age-specificrelevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospectivestudies. Lancet 2002;360:1903–1913.

297. Hansson L, Zanchetti A, Carruthers SG, Dahlof B, Elmfeldt D, JuliusS, Menard J, Rahn KH, Wedel H, Westerling S, for the HOT StudyGroup. Effects of intensive blood-pressure lowering and low-doseaspirin in patients with hypertension: principal results of the Hyper-tension Optimal Treatment (HOT) randomised trial. Lancet 1998;351:1755–1762.

298. Cushman WC, Evans GW, Byington RP, Goff DC Jr, Grimm RH Jr,Cutler JA, Simons-Morton DG, Basile JN, Corson MA, ProbstfieldJL, et al. Effects of intensive blood-pressure control in type 2 diabetesmellitus. N Engl J Med 2010;362:1575–1585.

299. Estacio RO, Jeffers BW, Gifford N, Schrier RW. Effect of bloodpressure control on diabetic microvascular complications in patientswith hypertension and type 2 diabetes. Diabetes Care 2000;23(suppl2):B54–B64.

300. Patel A, MacMahon S, Chalmers J, Neal B, Woodward M, Billot L,Harrap S, Poulter N, Marre M, Cooper M, et al. Effects of a fixedcombination of perindopril and indapamide on macrovascular andmicrovascular outcomes in patients with type 2 diabetes mellitus (theADVANCE trial): a randomised controlled trial. Lancet 2007;370:829–840.

301. Turnbull F, Neal B, Algert C, Chalmers J, Chapman N, Cutler J,Woodward M, MacMahon S. Effects of different blood pressure-lowering regimens on major cardiovascular events in individualswith and without diabetes mellitus: results of prospectively de-signed overviews of randomized trials. Arch Intern Med 2005;165:1410 –1419.

302. Varughese GI, Lip GY. Antihypertensive therapy in diabetes melli-tus: insights from ALLHAT and the Blood Pressure-Lowering Treat-ment Trialists’ Collaboration meta-analysis. J Hum Hypertens 2005;19:851–853.

303. Heart Outcomes Prevention Evaluation Study Investigators. Effectsof ramipril on cardiovascular and microvascular outcomes in peoplewith diabetes mellitus: results of the HOPE study and MICRO-HOPEsubstudy. Lancet 2000;355:253–259.

304. Yusuf S, Sleight P, Pogue J, Bosch J, Davies R, Dagenais G, for theHeart Outcomes Prevention Evaluation Study Investigators. Effectsof an angiotensin-converting-enzyme inhibitor, ramipril, on cardio-vascular events in high-risk patients. N Engl J Med 2000;342:145–153.

305. Lewis EJ, Hunsicker LG, Clarke WR, Berl T, Pohl MA, Lewis JB,Ritz E, Atkins RC, Rohde R, Raz I, for the Collaborative StudyGroup. Renoprotective effect of the angiotensin-receptor antagonistirbesartan in patients with nephropathy due to type 2 diabetes. N EnglJ Med 2001;345:851–860.

306. Brenner BM, Cooper ME, de Zeeuw D, Keane WF, Mitch WE,Parving HH, Remuzzi G, Snapinn SM, Zhang Z, Shahinfar S, for the

RENAAL Study Investigators. Effects of losartan on renal and car-
Page 22: 00029149_S0002914911X00115_S0002914911012148_main

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

3

24B The American Journal of Cardiology (www.AJConline.org) Vol 108 (3S) August 2, 2011

diovascular outcomes in patients with type 2 diabetes andnephropathy. N Engl J Med 2001;345:861–869.

07. Festa A, D’Agostino R Jr, Tracy RP, Haffner SM, for the InsulinResistance Atherosclerosis Study. Elevated levels of acute-phaseproteins and plasminogen activator inhibitor-1 predict the develop-ment of type 2 diabetes: the Insulin Resistance Atherosclerosis Study.Diabetes 2002;51:1131–1137.

08. Antithrombotic Trialists’ Collaboration. Collaborative meta-analysis of ran-domised trials of antiplatelet therapy for prevention of death, myocardialinfarction, and stroke in high risk patients. BMJ 2002;324:71–86.

309. World Health Organisation European Collaborative Group. Europeancollaborative trial of multifactorial prevention of coronary heart dis-ease: final report on the 6-year results. Lancet 1986;1:869–872.

310. Hayden M, Pignone M, Phillips C, Mulrow C. Aspirin for the primaryprevention of cardiovascular events: a summary of the evidence for the U.S.Preventive Services Task Force. Ann Intern Med 2002;136:161–172.

11. Patrono C, Bachmann F, Baigent C, Bode C, De Caterina R, Char-bonnier B, Fitzgerald D, Hirsh J, Husted S, Kvasnicka J, et al, for theTask Force on the Use of Antiplatelet Agents in Patients with Ath-erosclerotic Cardiovascular Disease of the European Society of Car-diology. Expert consensus document on the use of antiplatelet agents.Eur Heart J 2004;25:166–181.

12. Hirsh J, Bhatt DL. Comparative benefits of clopidogrel and aspirin inhigh-risk patient populations: lessons from the CAPRIE and CUREstudies. Arch Intern Med 2004;164:2106–2110.

13. Bhatt DL, Marso SP, Hirsch AT, Ringleb PA, Hacke W, Topol EJ.Amplified benefit of clopidogrel versus aspirin in patients with dia-betes mellitus. Am J Cardiol 2002;90:625–628.

14. Haire-Joshu D, Glasgow RE, Tibbs TL. Smoking and diabetes. Di-abetes Care 1999;22:1887–1898.

15. Haire-Joshu D, Glasgow RE, Tibbs TL. Smoking and diabetes. Di-abetes Care 2004;27 (suppl 1):S74–S75.

16. Anthonisen NR, Skeans MA, Wise RA, Manfreda J, Kanner RE,

Connett JE. The effects of a smoking cessation intervention on

14.5-year mortality: a randomized clinical trial. Ann Intern Med2005;142:233–239.

17. Brunner H, Cockcroft JR, Deanfield J, Donald A, Ferrannini E,Halcox J, Kiowski W, Luscher TF, Mancia G, Natali A, et al.Endothelial function and dysfunction. Part II: Association with car-diovascular risk factors and diseases. A statement by the WorkingGroup on Endothelins and Endothelial Factors of the European So-ciety of Hypertension. J Hypertens 2005;23:233–246.

18. Cersosimo E, DeFronzo RA. Insulin resistance and endothelial dys-function: the road map to cardiovascular diseases. Diabetes MetabRes Rev 2006;22:423–436.

19. Gokce N, Keaney JF Jr, Hunter LM, Watkins MT, Nedeljkovic ZS,Menzoian JO, Vita JA. Predictive value of noninvasively determinedendothelial dysfunction for long-term cardiovascular events in pa-tients with peripheral vascular disease. J Am Coll Cardiol 2003;41:1769–1775.

20. Ross R. Atherosclerosis—an inflammatory disease. N Engl J Med1999;340:115–126.

21. Balletshofer BM, Rittig K, Enderle MD, Volk A, Maerker E, Jacob S,Matthaei S, Rett K, Häring HU. Endothelial dysfunction is detectablein young normotensive first-degree relatives of subjects with type 2diabetes in association with insulin resistance. Circulation 2000;101:1780–1784.

22. Caballero AE. Metabolic and vascular abnormalities in subjects atrisk for type 2 diabetes: the early start of a dangerous situation. ArchMed Res 2005;36:241–249.

23. Tsimikas S, Willerson JT, Ridker PM. C-reactive protein and otheremerging blood biomarkers to optimize risk stratification of vulner-able patients. J Am Coll Cardiol 2006;47:C19–C31.

24. Ridker PM, Fifai N, Clearfield M, Downs JR, Weiss SE, Miles JS,Gotto AM Jr. Measurement of C-reactive protein for the targeting ofstatin therapy in the primary prevention of acute coronary events.

N Engl J Med 2001;344:1959–1965.