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Hypertension. 2008;52:865-872
Published online before print October 13, 2008, doi: 10.1161/HYPERTENSIONAHA.108.110478
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(Hypertension. 2008;52:865.)
© 2008 American Heart Association, Inc.


Original Articles

Metabolic Syndrome Affects Cardiovascular Risk Profile and Response to Treatment in Hypertensive Postmenopausal Women

Rosario Rossi; Annachiara Nuzzo; Giorgia Origliani; Maria Grazia Modena

From the Institute of Cardiology (R.R., A.N., M.G.M.), Policlinico Hospital; University of Modena and Reggio Emilia; and Centro "Bine Essire Donna" (G.O.), Azienda Policlinico di Modena, Italy.

Correspondence to Rosario Rossi, MD, Institute of Cardiology, Policlinico Hospital, Via del Pozzo, 71-41100 Modena, Italy. E-mail rossi.rosario{at}unimore.it


*    Abstract
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*Abstract
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Metabolic syndrome is increasingly recognized as an important cardiovascular risk factor in hypertension, but its influence on the cardiovascular risk profile in hypertensive postmenopausal women has not been studied. The aim of the present study was to investigate the impact of metabolic syndrome on the cardiovascular risk profile and the response to treatment. We enrolled 350 hypertensive postmenopausal women, 55±6 years of age (range 47 to 60 years of age). Patients were divided into 2 groups according to the presence of metabolic syndrome. Compared with those without, women with metabolic syndrome had higher waist circumference, body mass index, and levels of glucose, triglycerides, and HDL cholesterol, as would be expected, based on definition. In addition, patients with metabolic syndrome had a cardiovascular risk profile less favorable, characterized by a significantly higher highly sensitive C-reactive protein (2.2±0.6 versus 1.7±0.7 ng/L; P<0.01), a more compromised endothelial function (flow-mediated vasodilation 2.4±2.2 versus 4.4±2.5%; P=0.01), and a significantly higher left ventricular mass (44±15 versus 41±16 g/m2.7). Also, antihypertensive treatment induced a more modest improvement of both endothelial dysfunction and subclinical inflammation in women with metabolic syndrome. The results of our study show that in postmenopausal women, there are 2 different forms of hypertension: that which is isolated, and that which is associated with metabolic syndrome. This last form is related to a more severe risk profile, and response to therapy is less favorable.


Key Words: women • metabolic syndrome • hypertension • cardiovascular diseases • drugs • risk factors


*    Introduction
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up arrowAbstract
*Introduction
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down arrowResults
down arrowDiscussion
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Hypertension is highly prevalent in postmenopausal women, and the postmenopausal period is a well-established risk factor for cardiovascular disease in women.1 As one example of this phenomenon, the prevalence of hypertension is higher in males 30 to 45 years of age than in females of similar age, whereas the prevalence of hypertension in females after this age increases to levels similar to2 or exceeding that3 in males. Hypertension can be considered an isolated disease or part of the metabolic syndrome (MS). MS, a clustering of lipid and nonlipid cardiovascular risk factors, is estimated to affect {approx}20% to 30% of the middle-aged population,4 and the prevalence of the disorder appears to be increasing in the US population.5 Postmenopausal status is associated with a 60% increased risk of MS, even after adjusting for confounding variables.6

MS is increasingly recognized as an independent predictor of cardiovascular disease in hypertension.7 Moreover, in those studies in which the prognostic impact of MS has been examined separately in men and women, the coronary or cardiovascular morbidity/mortality hazard ratios associated with MS were almost invariably found to be higher in the female sex.8–10 Therefore, the risk of cardiovascular disease attributed to MS appears to be especially high in women, and it is estimated that half of all cardiovascular events in women are related to MS.11 However, we have no evidence that MS directly influences the cardiovascular risk profile or resistance to treatment. To the best of our knowledge, this issue has never been studied in a specific population of postmenopausal women.

Therefore, the aim of the present study was to investigate the impact of MS on the cardiovascular risk profile and the response to treatment. This question was addressed in a sample of white postmenopausal women with essential hypertension, free from diabetes and cardiovascular disease, who had never received antihypertensive drug treatment.


*    Methods
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up arrowIntroduction
*Methods
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Study Sample
The study sample consisted of consecutive postmenopausal women with never-treated essential hypertension who were self-referred to the "Bene Essere Donna" center, an institution dedicated to the study, prevention, and treatment of menopause-related disorders. This service, located in a third-level university hospital, is open to all women provided they are in their postmenopausal period (postmenopausal status was defined as the absence of menstruation for ≥6 months or by a follicle-stimulating hormone blood level >40 IU/L and 17 β-estradiol levels <120 pmol/L) and are ≤60 years of age. These women were initially drawn to the center through local media advertising, have free access, and can make queries or obtain advice about particular symptoms they are having by making appointments beforehand. All participants gave their written informed consent to participate in this study, which had been approved by the science and ethics committee of our institution.

Evaluation of the Cardiovascular Risk Profile
Physical examination variables measured at baseline included body weight, height, waist circumference, and systolic and diastolic blood pressure (BP). BP was measured by a physician with a mercury sphygmomanometer and cuff adapted to arm circumference, with the subject sitting for ≥10 minutes. The appearance of Korotkoff sounds was taken to be the systolic and their point of disappearance (phase 5) the diastolic BP. The average of 3 measurements was considered for the analysis.

Participants provided questionnaire data concerning lifestyle potential risk factors for cardiovascular disease (cigarette smoking, hypercholesterolemia, diabetes, and hypertension).

We collected, in all patients, a venous blood sample to determine the concentrations of fasting glucose, a complete lipid profile, and fasting insulin. A homeostasis model assessment of insulin resistance index was performed to assess insulin resistance. It was calculated as follows: [fasting insulin(µU/mL)xfasting glucose (mmol/L)]/22.5.

Fasting plasma glucose, serum total cholesterol, and triglycerides were determined by enzymatic colorimetric method. Serum HDL cholesterol was measured by enzymatic colorimetric method after precipitation with polyethilenglycole. LDL cholesterol was calculated by means of the Friedewald formula.

MS was defined, according to the Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults,12 by the presence, in addition to hypertension, of ≥2 of the following criteria: (1) serum triglyceride levels >150 mg/dL; (2) serum HDL cholesterol <50 mg/dL; (3) fasting plasma glucose ≥110 mg/dL; and (4) waist circumference >88 cm.

In addition to the classic risk factors, we included in the definition of the cardiovascular risk profile the study of endothelial function and the determination of C-reactive protein, an acute phase reactant, which was the most sensitive marker of subclinical inflammation.

Diagnosis of Hypertension and Treatment Protocol
Postmenopausal patients with newly diagnosed hypertension were eligible for the study. The cases of hypertension were identified in the following ways: (1) self-report of physician diagnosis; (2) comparison of systolic BP values ≥140 mm Hg or diastolic BP values ≥90 mm Hg during the visit. If this latter condition was encountered, we took steps to check the BP, before diagnosing hypertension, on 2 further occasions: the first after 1 week and the second after 1 month from the initial anomalous measurement. Only in cases in which these values remained persistently high (≥140 mm Hg for systolic BP or ≥90 mm Hg for diastolic BP) was hypertension diagnosed.

Once the diagnosis of hypertension was made, patients were to receive optimal antihypertensive treatment according to the recommendations of the Seventh Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure.13 All women were advised to modify their lifestyle habits according to the recommendations of the Seventh Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure.13 If these measures were unable to reduce BP, pharmacological therapy was initiated. Therapies were assigned to maintain systolic BP <140 mm Hg and diastolic BP <90 mm Hg. Patients were visited every 4 weeks. The choice of the antihypertensive drug used was at the discretion of the study investigators and was made on the basis of a "step-by-step approach" when the BP values were unsatisfactory (>140/>90 mm Hg). When BP values were <140/90 mm Hg for 3 consecutive measurements (ie, ≥3 months of controlled BP), the number and the class of the drugs taken from the patient were recorded.

Exclusion Criteria of the Study
Patients with a past medical history of chest pain, diagnostic coronary angiography, coronary revascularization, myocardial infarction, stroke, or transient ischemic attack were excluded from the study. Women were also excluded for the following reasons: (1) past, present, or suspected neoplastic, degenerative, or inflammatory pathology; (2) past or present use of any estrogen or progestin-containing compounds or other hormonal agents such as tibolone or selective estrogen receptor modulators such as tamoxifen or raloxifen; (3) cardiomyopathies; (4) alcoholism or other drug abuse; (5) a failure to achieve a BP <140/<90 mm Hg after 6 months of treatment; or (6) a current participation in other ongoing clinical trials.

Echocardiographic Examination
Echocardiographic examination information can be found in an online supplement available at http://hyper.ahajournals.org.

Evaluation of Endothelial Function
Endothelial function was evaluated through the measure of the flow-mediated (endothelial-dependent) vasodilation performed on the brachial artery. The study of the endothelial function was completed by the dosage of the plasma levels of endothelin-1 and von Willebrand factor. The study of endothelial function was performed at baseline and after 1 year of follow-up.

Flow-mediated dilation (endothelium-dependent) of the brachial artery was measured unaware of the other data. The technique for assessing flow-mediated dilation has been described in detail previously.14,15

In our laboratory, the methodology had an interobserver variability in diameter measurements of 0.45±0.25%, yielding a coefficient of variation of 1.34% and a coefficient of repeatability of 0.8%. Levels of endothelin-1 and von Willebrand factor were measured on plasma samples using commercially available kits. Endothelin-1 was dosed using an enzyme immunometric assay kit (TiterZyme enzyme immunoassay; Assay Designs Inc). Von Willebrand factor antigen levels were measured quantitatively using an immunoturbidimetric method (Dade Behring von Willebrand factor Ag*).

Study of Subclinical Inflammation
To measure C-reactive protein level, we used a highly sensitive immunoturbidimetric assay and an automated clinical chemistry analyzer (C-reactive protein [Latex] US Modular P method, Roche Hitachi). This test is based on creation of an immunocomplex between an anti–C-reactive protein monoclonal antibody and the C-reactive protein–specific antigen. The intra-assay coefficient of variation was <5%. To avoid elevation of C-reactive protein level attributable to exogenous inflammatory stimuli, subjects with a serum C-reactive protein level >3 SD above the mean were excluded.

Two dosages of highly sensitive C-reactive protein were performed: at baseline and after 12 months of follow-up.

Statistical Analysis
The continuous variables were expressed as mean±1 SD, and the categorical variables were expressed as percentages. The 2 groups were compared by the Student t test for unpaired data and the {chi}2 test with the Yates correction for continuity, when appropriate. Baseline values and those recorded after 12 months were compared by repeated measures of variance. All P values are 2-tailed. P<0.05 was taken as significant.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
*Results
down arrowDiscussion
down arrowConclusion
down arrowReferences
 
We enrolled 350 hypertensive postmenopausal women, 55±6 years of age (range 47 to 60 years of age) and divided them into 2 groups according to the presence of MS. The baseline characteristics of our population are illustrated in Table 1. Compared with those without MS, women with MS had higher waist circumference, body mass index, and levels of glucose, triglycerides, and HDL cholesterol, as would be expected based on the definition of MS. Significant differences were not observed in baseline BP, renal function, total and LDL cholesterol plasma concentrations, left atrium and left ventricular dimensions, and left ventricular performance. However, patients with MS had a cardiovascular risk profile that was less favorable, characterized by a significantly higher highly sensitive C-reactive protein, a more compromised endothelial function, and a significantly higher left ventricular mass.


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Table 1. Baseline Characteristics of the Study Patients Divided in 2 Groups According to the Presence of MS

The antihypertensive regimens and proportion of subjects who received a lifestyle modification only, angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, calcium channel blockers, β-blockers and thiazide diuretics, alone or combined, or other drugs, are shown in Table 2. The number of antihypertensive drugs used to maintain BP in the chosen normal range (<140/<90 mm Hg) was on average higher in hypertensive patients with MS (4.5±1) versus others (3.5±1; P<0.05). The mean reduction of SBP/ DBP for every added antihypertensive drug was –5.2/–2.4 mm Hg in patients with MS versus others (–7.2/–2.9 mm Hg; P<0.05 for DBP, P<0.01 for SBP).


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Table 2. BP Values at Baseline and After 1 Year of Treatment and the Antihypertensive Regimen: A Comparison Between Groups

The proportion of patients taking statins was not statistically different in the 2 groups (52 of 180 [28.9%] in the MS group versus 39 of 170 [22.9%] in the other group; P=NS), whereas the proportion of patients with MS taking fibrates or omega-3 (65 of 180 [36.1%] in the MS group versus 12 of 170 [7.0%] in the other group; P<0.0001) was significantly higher.

Outcome
During the study period (1 year of follow-up), there was 1 death, from a neoplasm. No difference was found in the dropout rate: 3 patients in the MS group and 2 patients in the other group (P=NS) were lost from the follow-up.

The effects of treatment on our studied parameters are shown in Table 3. The most relevant differences between the 2 groups are summarized in Figure 1, which shows that, among all the parameters that have shown significant changes induced by 1 year of treatment, only the behavior of highly sensitive C-reactive protein and indices of endothelial dysfunction are statistically different in women with MS compared with others. In particular, in hypertensive patients with MS, antihypertensive treatment produced a more modest improvement of both endothelial dysfunction and subclinical inflammation.


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Table 3. Effects of Antihypertensive Treatment on Our Studied Parameters


Figure 1
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Figure 1. The mean percentage variation (and 1 SD) of the parameters was significantly modified after 1 year of follow-up in hypertensive postmenopausal women with MS (gray bars) vs patients without MS (patterned bars). SBP indicates systolic BP; LVM, left ventricular mass; hs-CRP, highly sensitive C-reactive protein; FMD, flow-mediated vasodilation; ET-1, endothelin-1.

Effects of Obesity
To better study the influence of overweight and obesity on the response to treatment, we divided our patients with MS (n=180) into 2 groups: normal weight (body mass index between 20 and 25 kg/m2; n=54; 30% of the women with MS) and overweight/obese (body mass index >25 kg/m2; n=126; 70% of the women with MS), according to the definition of the World Health Organization. The baseline comparison between the 2 subgroups is shown in Table 4. All of the normal weight patients with hypertension and MS had a family history of type 2 diabetes or a history of gestational diabetes; no other parameters were significantly different between the 2 groups. Figure 2 takes into account the same relevant parameters shown in Figure 1. We found no significant differences in the improvement in the study parameters by body weight or obesity status.


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Table 4. Baseline Characteristics of the 180 Women With Hypertension and MS Divided Into 2 Groups According to the Presence of Overweight/Obesity


Figure 2
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Figure 2. The behavior (mean percentage variation and 1 SD) of the parameters that have changed since 1 year of medical therapy in women with hypertension and MS. The comparison affects patients with normal weight (white bars) compared with overweight/obese patients (gray bars). The figure shows how the response to therapy seems to be not statistically different regardless of body weight. SBP indicates systolic BP; LVM, left ventricular mass; hs-CRP, highly sensitive C-reactive protein; FMD, flow-mediated vasodilation; ET-1, endothelin-1.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowConclusion
down arrowReferences
 
The results of our study show that in postmenopausal women, there are 2 different forms of hypertension: the isolated form, and the one associated with MS. This last form is associated with a more severe cardiovascular risk profile, and the response to therapy is less favorable. In other words, the presence of MS seems to aggravate the severity of hypertension and reduce the capacity to respond to specific treatments. It is then reasonable to consider MS a potentially unfavorable prognostic factor in hypertensive postmenopausal women.

About one third of our postmenopausal patients who experienced both hypertension and MS (according to the criteria of Adult Treatment Panel III) were of normal weight. According to our results, these patients respond to treatment in a similar way to overweight/obese patients. We believe that practitioners should pay particular attention to this population to accurately diagnose the presence of MS in these patients. Indeed, most physicians tend to consider the diagnosis of MS only in obese patients. In reality, MS can be found in lean but insulin-resistant postmenopausal women. According to the data from our study, these women generally have a normal weight, are hypertensive, have high triglycerides and low HDL, have a family history of diabetes, or have a history of gestational diabetes. It is well known that in a population with a family history of type II diabetes, individuals with MS have a higher mortality.16

A main finding of our study was the evidence of a possible link between inflammation and endothelial dysfunction in postmenopausal hypertensive women with MS. In our study, in fact, among patients with MS, there was a significant proportion of women with left ventricular hypertrophy, increased levels of highly sensitive C-reactive protein, and markers of endothelial dysfunction (flow-mediated dilation and levels of endothelin-1 and Von Willebrand factor) compared with patients without MS. Interestingly, all these markers were significantly related to the presence of MS and were unrelated to either antihypertensive therapy or different classes of used drugs. These data are also independent from the presence of overweight/obesity.

It is well known that MS is an aggravating factor in hypertensive patients. Many studies identify MS, especially in postmenopausal women, as an important risk factor for cardiovascular and cerebrovascular disease.9,17,18 Several studies have shown that insulin resistance/hyperinsulinemia, a hallmark of MS, is a predictor of ischemic heart disease in the population at large19,20–22 and in patients with type II diabetes.23

High BP is a major and independent cardiovascular risk factor. On the other hand, hypertension tends to cluster with other metabolic risk factors,24 and about half of patients with essential hypertension are insulin resistant.25 Individuals with MS tend to have systemic endothelial dysfunction26 and chronic subclinical inflammation,27 which are increasingly recognized as powerful risk factors for cardiac and cerebrovascular events.28,29 Previous experimental evidence did suggest a role for inflammation in the development of vascular damage in hypertension. Hypertension exerts a number of proinflammatory effects through the increased expression of several mediators.30,31 An increased vessel wall stretch has been shown to activate the reduced nicotinamide-adenine dinucleotide phosphate oxidase and the nuclear factor {kappa}B to increase adhesion molecule expression by endothelial cells and to upregulate endothelial cell secretion of proinflammatory cytokines.32 These effects can enhance monocyte adhesion to the endothelium, their transmigration into the vessel wall and into the tissue interstitium, and the development of endothelium dysfunction and inflammation.33 In this regard, an increased degree of left ventricular mass, an increased level of markers of inflammation, or an increased level of markers of endothelial dysfunction has been shown previously in hypertensives with MS in separate studies.18,29,34

Limitations of the Study
Our study has some limitations. First of all, it is a cross-sectional, not-randomized, study that demonstrates a potentially negative prognostic role of MS in hypertensive postmenopausal women. Another important limit is that the admittance to our center is completely free for all women ≤60 years of age. For this reason, we analyzed a relatively young age group. We designed our practice to allow every woman (with the limitation of age) free access to our center whenever they have a problem or simply a question. As a consequence, the prevalence of cardiovascular risk factors noted in our sample of patients could be different from that of general population of postmenopausal women. However, the study presents several strengths, including the relatively large and homogeneous sample and the strict follow-up of the participants.


*    Conclusion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*Conclusion
down arrowReferences
 
This study explores the relationship among the presence or absence of MS, the cardiovascular risk profile, and the response to treatment in hypertensive postmenopausal women. This study is unique in that it addresses whether MS negatively influences both cardiovascular risk profile and resistance to treatment. Our data are in line with the innovative evidence that postmenopausal hypertensive women with MS are more compromised (in terms of end organ damage) and have a greater resistance to antihypertensive therapy compared with those without MS. The clinical implication of this fact is that a close follow-up and an aggressive management of hypertension are justified in these patients. Additional studies are needed to determine whether there are long-term differences in response to treatment in terms of hard outcome.

Perspectives
The broad implications of the present study are that MS should be considered a potentially negative prognostic factor in hypertensive postmenopausal women, able to adversely affect both the severity of hypertension (in the sense of more serious end organ damage, more impaired endothelial function, more frequent left ventricular hypertrophy, more severe subclinical inflammation) and the patient’s ability to respond to specific treatment. For these important implications, clinicians should give attention to accurately diagnosing MS in hypertensive postmenopausal women because this condition can occur not only in obese subjects but even in lean but insulin-resistant patients (approximately one third of our population), particularly in those with a family history of diabetes or history of gestational diabetes.

It is reasonable to assume that close follow-up and an aggressive pharmacological and nonpharmacological approach could improve outcomes for hypertensive postmenopausal women with MS. Further controlled studies would be needed to assess whether this approach can effectively reduce major cardiovascular events.


*    Acknowledgments
 
Source of Funding

This work was partly supported by a grant from the Ministero della Università e della Ricerca, Rome, Italy.

Disclosures

None.

Received January 16, 2008; first decision February 6, 2008; accepted September 5, 2008.


*    References
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up arrowConclusion
*References
 
1. Sowers JR, Epstein M, Froholich ED. Diabetes, hypertension, and cardiovascular disease. An update. Hypertension. 2001; 37: 1053–1059.[Abstract/Free Full Text]

2. Vokonas PS, Kannel WB, Cupples LA. Epidemiology and risk of hypertension in the elderly: the Framingham study. J Hypertens. 1988; 6 (suppl): S3–S9.

3. Burl VL, Whelton P, Roccella EJ, Brown C, Cutler JA, Higgins M, Horan MJ, Labarthe D. Prevalence of hypertension in the US adult population. Results from the Third National Health and Nutrition Examination Survey, 1988–1991. Hypertension. 1995; 25: 305–313.[Abstract/Free Full Text]

4. Lakka HM, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J, Salonen JT. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. J Am Med Assoc. 2002; 288: 2709–2716.[Abstract/Free Full Text]

5. Meigs JB. Epidemiology of the metabolic syndrome, 2002. Am J Manag Care. 2002; 8 (suppl 11): S283–S296.[Medline] [Order article via Infotrieve]

6. Park YW, Zhu S, Palaniappan L, Heshka S, Carnethon MR, Heymsfield SB. The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988–1994. Arch Intern Med. 2003; 163: 427–436.[Abstract/Free Full Text]

7. Schillaci G, Pirro M, Vaudo G, Gemelli F, Marchesi S, Porcellati C, Mannarino E. Prognostic value of the metabolic syndrome in essential hypertension. J Am Coll Cardiol. 2004; 43: 1817–1822.[Abstract/Free Full Text]

8. Onat A, Ceyhan K, Basar O, Erer B, Toprak S, Sansoy V. Metabolic syndrome: major impact on coronary risk in a population with low cholesterol levels: a prospective and cross-sectional evaluation. Atherosclerosis. 2002; 165: 285–292.[CrossRef][Medline] [Order article via Infotrieve]

9. Hunt KJ, Resendez RG, Williams K, Haffner SM, Stern MP. National Cholesterol Education Program versus World Health Organization metabolic syndrome in relation to all-cause and cardiovascular mortality in the San Antonio Heart Study. Circulation. 2004; 110: 1251–1257.[Abstract/Free Full Text]

10. Celentano A, Palmieri V, Arezzi E, Mureddu GF, Sabatella M, Di Minno G, De Simone G. Gender differences in left ventricular chamber and midwall systolic function in normotensive and hypertensive adults. J Hypertens. 2003; 21: 1415–1423.[CrossRef][Medline] [Order article via Infotrieve]

11. Wilson PW, Kannel WB, Silbershatz H, D'Agostino RB. Clustering of metabolic factors and coronary heart disease. Arch Intern Med. 1999; 159: 1104–1109.[Abstract/Free Full Text]

12. Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA. 2001; 285: 2486–2497.[Free Full Text]

13. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jones DW, Materson BJ, Oparil S, Wright JT, Roccella EJ; the National High Blood Pressure Education Program Coordinating Committee. Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension. 2003; 42: 1206–1252.[Abstract/Free Full Text]

14. Celermajer DS, Sorensen KE, Gooch VM, Spiegelhalter DJ, Miller OI, Sullivan ID, Lloyd JK, Deanfield JE. Non-invasive detection of endothelial dysfunction in children and adults at risk of atherosclerosis. Lancet. 1992; 340: 1111–1115.[CrossRef][Medline] [Order article via Infotrieve]

15. Verma S, Buchanan MR, Anderson TJ. Endothelial function testing as a biomarker of vascular disease. Circulation. 2003; 108: 2054–2059.[Free Full Text]

16. Isomaa B, Almgren P, Tuomi T, Forsen B, Lahti K, Nissen M, Taskinen MR, Groop L. Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care. 2001; 24: 683–689.[Abstract/Free Full Text]

17. Mc Neill AM, Rosamond WD, Girman CJ, Golden SH, Schmidt MI, East HE, Ballantyne CM, Heiss G. The metabolic syndrome and 11-year risk of incident cardiovascular disease in the Atherosclerosis Risk in Communities Study. Diabetes Care. 2005; 28: 385–390.[Abstract/Free Full Text]

18. Schillaci G, Pirro M, Pucci G, Mannarino MR, Gemelli F, Siepi D, Vaudo G, Mannarino E. Different impact of the metabolic syndrome on left ventricular structure and function in hypertensive men and women. Hypertension. 2006; 47: 881–886.[Abstract/Free Full Text]

19. Pyörälä K. Relationship of glucose tolerance and plasma insulin to the incidence of coronary heart disease: results from two population studies in Finland. Diabetes Care. 1979; 2: 131–141.[Abstract]

20. Welborn TA, Wearne K. Coronary heart disease incidence and cardiovascular mortality in Busselton with reference to glucose and insulin concentrations. Diabetes Care. 1979; 2: 154–160.[Abstract]

21. Fontbonne A, Charles MA, Thibult N, Richard JL, Claude JR, Carnet JM, Rosselin GE, Eschwege E. Hyperinsulinemia as a predictor of coronary heart disease mortality in a healthy population: the Paris prospective study, 15-year follow-up. Diabetologia. 1991; 34: 356–361.[CrossRef][Medline] [Order article via Infotrieve]

22. Despres JP, Lamarche B, Mauriege P, Cantin B, Dagenais GR, Moorjani S, Lupien PJ. Hyperinsulinemia as an independent risk factor for ischemic heart disease. N Engl J Med. 1996; 334: 952–957.[Abstract/Free Full Text]

23. Lehto S, Rönnemaa T, Pyörälä K, Laakso M. Cardiovascular risk factor clustering with endogenous hyperinsulinemia predict death from coronary heart disease in patients with type II diabetes. Diabetologia. 2000; 43: 148–155.[CrossRef][Medline] [Order article via Infotrieve]

24. Rossi R, Turco V, Origliani G, Modena MG. Type 2 diabetes mellitus is a risk factor for the development of hypertension in postmenopausal women. J Hypertens. 2006; 24: 2017–2022.[Medline] [Order article via Infotrieve]

25. Lind L, Berne C, Lithell H. Prevalence of insulin resistance in essential hypertension. J Hypertens. 1995; 13: 1457–1462.[Medline] [Order article via Infotrieve]

26. Steinberg HO, Chaker H, Leaming R, Johnson A, Brechtel G, Baron AD. Obesity/insulin resistance is associated with endothelial dysfunction: implications for the syndrome of insulin resistance. J Clin Invest. 1996; 97: 2601–2610.[Medline] [Order article via Infotrieve]

27. Festa A, D'Agostino R, Howard G, Mykkänen L, Tracy RP, Haffner SM. Chronic subclinical inflammation as part of the insulin resistance syndrome: the insulin resistance atherosclerosis study (IRAS). Circulation. 2000; 102: 42–47.[Abstract/Free Full Text]

28. Targonski PV, Bonetti PO, Pumper GM, Higano ST, Holmes DR, Lerman A. Coronary endothelial dysfunction is associated with an increased risk of cerebrovascular events. Circulation. 2003; 107: 2805–2809.[Abstract/Free Full Text]

29. Modena MG, Bonetti L, Coppi F, Bursi F, Rossi R. Prognostic role of reversibile endothelial dysfunction in hypertensive postmenopausal women. J Am Coll Cardiol. 2002; 40: 505–510.[Abstract/Free Full Text]

30. Redón J, Oliva MR, Termos C, Giner V, Chaves J, Iradi A, Sáez GT. Antioxidant activities and oxidative stress byproducts in human hypertension. Hypertension. 2003; 41: 1096–1101.[Abstract/Free Full Text]

31. Hilgers KF, Hartner A, Porst M, Mai M, Wittmann M, Hugo C. Monocyte chemoattractant protein-1 and macrophage infiltration in hypertensive kidney injury. Kidney Int. 2000; 58: 2408–2419.[CrossRef][Medline] [Order article via Infotrieve]

32. Wang DL, Wung BS, Shyy YJ, Lin CF, Chao YJ, Usami S, Chien S. Mechanical strain induces monocyte chemotactic protein-1 gene expression in endothelial cells: effects of mechanical strain on monocyte adhesion to endothelial cells. Circ Res. 1995; 77: 294–302.[Abstract/Free Full Text]

33. Schieffer B, Luchtefeld M, Braun S, Hilfiker A, Hilfiker-Kleiner D, Drexler H. Role of NAD(P)H oxidase in angiotensin II-induced JAK/STAT signaling and cytokine induction. Circ Res. 2000; 87: 1195–1201.[Abstract/Free Full Text]

34. Leoncini G, Ratto E, Viazzi F, Vaccaro V, Parodi D, Parodi A, Falqui V, Tomolillo C, Deferrari G, Pontremoli R. Metabolic syndrome is associated with early signs of organ damage in nondiabetic, hypertensive patients. J Intern Med. 2005; 257: 454–460.[CrossRef][Medline] [Order article via Infotrieve]


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