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Circulation. 2005;111:1924-1931
doi: 10.1161/01.CIR.0000161799.91577.0A
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(Circulation. 2005;111:1924-1931.)
© 2005 American Heart Association, Inc.


Hypertension

Body Build and Risk of Cardiovascular Events in Hypertension and Left Ventricular Hypertrophy

The LIFE (Losartan Intervention For Endpoint reduction in hypertension) Study

Giovanni de Simone, MD; Kristian Wachtell, MD; Vittorio Palmieri, MD; Darcy A. Hille, MS; Gareth Beevers, MD; Björn Dahlöf, MD, PhD; Ulf de Faire, MD; Frej Fyhrquist, MD; Hans Ibsen, MD; Stevo Julius, MD; Sverre E. Kjeldsen, MD; Ole Lederballe-Pedersen, MD; Lars H. Lindholm, MD; Markku S. Nieminen, MD; Per Omvik, MD; Suzanne Oparil, MD; Richard B. Devereux, MD

From the Department of Clinical and Experimental Medicine, Federico II University of Naples, Naples, Italy (G.d.S., V.P.); Division of Cardiology, Weill Medical College of Cornell University, New York, NY (K.W., G.d.S., V.P., R.B.D.); Department of Medicine, Glostrup University Hospital, Glostrup, Denmark (K.W., H.I.); Merck Research Laboratories, Blue Bell, Penn (D.A.H.); Dudley Road Hospital, Birmingham, United Kingdom (G.B.); Department of Medicine, Sahlgrenska University Hospital/Östra, Göteborg, Sweden (B.D.); Karolinska University Hospital, Stockholm, Sweden (U.d.F.); Helsinki University Hospital, Helsinki, Finland (F.F., M.S.N.); University of Michigan Medical Center, Ann Arbor, Mich (S.J., S.E.K.); Ullevaal University Hospital, Oslo, Norway (S.E.K.); Viborg University Hospital, Viborg, Denmark (O.L.-P.); Umeå University Hospital, Umeå, Sweden (L.H.L.); Haukeland University Hospital, Bergen, Norway (P.O.); and University of Alabama, Birmingham, Ala (S.O.).

Correspondence to Giovanni de Simone, MD, Department of Clinical and Experimental Medicine, Federico II University Hospital, via S. Pansini, No. 5, 80131 Naples, Italy. E-mail simogi{at}unina.it

Received October 25, 2004; revision received February 11, 2005; accepted February 17, 2005.


*    Abstract
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*Abstract
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Background— Obesity may independently increase the risk of adverse events in hypertension with target-organ damage. We investigated whether body build was independently associated with higher cardiovascular risk and whether treatment with losartan relative to atenolol influenced the impact of body build on the primary composite end point of cardiovascular death, stroke, and myocardial infarction and on cardiovascular death in patients with hypertension and left ventricular hypertrophy in the Losartan Intervention For Endpoint reduction in hypertension (LIFE) study.

Methods and Results— The population of 9079 patients was divided as follows: thin (body mass index [BMI] <20 kg/m2, 2%), normal weight (BMI 20 to 24.9, 24%), overweight (BMI 25 to 29.9, 45%), and obese (class I: BMI 30 to 34.9, 21%; class II: BMI 35 to 39.9, 6%; class III: BMI ≥40, 2%). Incident diabetes increased progressively with BMI and was somewhat higher in the atenolol arm. Differences in gender and race were detected among the body build groups. Rates (Cox proportional hazard analysis) of the primary composite end point did not differ among body build groups after adjustment for age, gender, race, smoking habit, prevalent cardiovascular disease, and left ventricular hypertrophy. Cardiovascular death was more frequent among thin (P<0.05) and pooled class II-III obesity (both P<0.04) than normal-weight groups. Risk was not attenuated significantly by losartan treatment, nor did it interfere with the greater benefit of losartan- as opposed to atenolol-based treatment.

Conclusions— In the LIFE study, stratification for classes of body build identified increased risk of cardiovascular mortality in both thin and moderately-to-severely obese individuals. This risk was not attenuated significantly by losartan treatment, nor did it interfere with the greater benefit of losartan-based treatment as opposed to atenolol-based treatment.


Key Words: hypertension • obesity • drugs • risk factors • prognosis


*    Introduction
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There is a general consensus that the prevalence and severity of arterial hypertension increase with increasing body weight and might be particularly severe in advanced (body mass index [BMI] ≥35 kg/m2) obesity.1–4 Obesity predisposes to hypertension because of concomitant metabolic and hemodynamic abnormalities, yielding both increased circulating volume and inadequate lowering of systemic resistance.1,5,6 Hypertension in obesity, therefore, is characterized by combined volume and pressure overload, even more than in normal-weight subjects with hypertension, and the cardiocirculatory burden is thought, generally but not invariably,7 to be more severe. There is extensive evidence that obesity increases cardiovascular risk because cardiovascular risk factors tend to cluster in obese persons,3,8,9 but there is also evidence from epidemiological studies that relatively low body mass predicts higher cardiovascular risk because of associated systemic diseases.10

It is unclear whether obesity also independently increases the risk of cardiovascular events in persons with hypertension-related target-organ damage or other risk factors.11,12 This is particularly relevant in the context of the Losartan Intervention For Endpoint reduction in hypertension (LIFE) study given the current evidence for local activation of the renin-angiotensin system and its interactions with the endothelin system in obesity.13 Accordingly, the present study was designed to assess whether obesity influences the prognosis of hypertensive patients with established target-organ damage independently of prognostically relevant baseline covariates and randomization to losartan- or atenolol-based antihypertensive therapy in the LIFE study.14,15


*    Methods
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Participants
The present analysis was performed in 9079 participants (of the total population of 9193) in the LIFE study who had available baseline BMI data. Detailed inclusion and exclusion criteria and characteristics of the LIFE study population have been reported previously.15 All patients provided written informed consent, and the protocol was approved by relevant ethics committees. Previously treated or untreated outpatients with stage II or III arterial hypertension, between 55 and 80 years of age, were recruited from medical practice settings in Denmark, Finland, Iceland, Norway, Sweden, the United Kingdom, and the United States. Participants were required to have sitting systolic blood pressure 160 to 200 mm Hg or diastolic blood pressure 95 to 115 mm Hg after 1 to 2 weeks of single-blind placebo treatment without other antihypertensive medication. A major inclusion criterion was the presence of ECG-confirmed left ventricular hypertrophy (by Cornell voltage-duration product or Sokolow-Lyon voltage).15 Patients with myocardial infarction or stroke within 6 months, current heart failure or previously known left ventricular ejection fraction <40%, or serum creatinine >160 µmol/L (>1.81 mg/dL) were excluded.

Diabetes was defined by 1985 World Health Organization criteria,16 according to investigator report and plasma glucose level. Because 24-hour urinary creatinine excretion was unavailable, creatinine clearance was estimated with the Cockcroft-Gault formula,17 which uses estimated ideal body weight.18 Prevalent coronary artery disease was identified on the basis of patient and physician report and the presence of ECG Q waves that met Minnesota code criteria.14

Study Design
The present analysis was not prespecified as part of the LIFE protocol; therefore, neither selection of patients nor treatment randomization was related to body build. For this analysis, the LIFE population was stratified into 6 categories of body build according to 1998 National Institutes of Health guidelines19: thin (BMI <20 kg/m2, 2% of patients in this analysis), normal weight (BMI 20 to 24.9, 24%), overweight (BMI 25 to 29.9, 45%), and obese (class I: BMI 30 to 34.9, 21%; class II: BMI 35 to 39.9, 6%; class III: BMI ≥40, 2%). For hazard analyses, classes II and III were pooled.

End Points and Adjudication
We analyzed the primary composite end point of cardiovascular mortality, stroke, and myocardial infarction (n=1081), as well as cardiovascular mortality (n=432). End points were adjudicated by an independent committee on the basis of definitions provided in the LIFE study predefined end-point manual.20

Statistical Analysis
Data were analyzed with SPSS 12 software. Descriptive statistics were obtained with {chi}2 distributions (with Monte Carlo method for computation of exact probability value), 1-factor ANOVA, and the REGW-F post hoc test (Ryan, Einot, Gabriel, & Welsch F test). Log cumulative hazard functions were computed by Cox proportional hazards analysis with enter procedures. Hazard ratios with 95% CIs and adjusted cumulative incidences of the primary composite end point and cardiovascular mortality were examined. The null hypothesis was rejected at 2-tailed {alpha}≤0.05.


*    Results
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Characteristics of Study Population in Relation to Body Build
A higher level of physical activity, as assessed by questionnaires, was significantly less common in participants with the lowest or highest BMI class. Among overweight individuals, 48% were women, which increased to 59% with class I, 69% with class II, and 79% with class III obesity. Overweight was present in 45% of whites, 37% of blacks, and 47% of other ethnicities. Class I obesity was present in 21% of whites, 25% of blacks, and 17% of other ethnicities; class II in 5% of whites, 10% of blacks, and 8% of other ethnicities; and class III in 2% of whites, 6% of blacks, and 4% of other ethnicities. Because these differences were statistically significant (all P<0.001), gender and ethnicity were considered as covariates in multivariate analyses.

In addition to randomized treatments, other medications were used. In particular, among thin subjects, 36% were given calcium-channel blockers, 8% were given diuretics other than hydrochlorothiazide, and 13% were given other antihypertensive medications. Rates of concomitant treatment were 35% for calcium-channel blockers, 10% for diuretics, and 10% for other antihypertensive medications among normal-weight individuals; 40%, 12%, and 12%, respectively, among overweight subjects; 44%, 15%, and 14% among class I obese subjects; and 46%, 22%, and 17% in pooled class II-III obese subjects.

Cardiovascular Risk Profile
Diabetes prevalence increased from 5% in thin subjects to 7% in those of normal weight, 12% in overweight subjects, and 15%, 24% and 34% in those with class I, II, and III obesity, respectively (P for trend <0.0001). During follow up, new-onset diabetes was detected in fewer than 1% of normal-weight subjects, 3% of thin subjects, 6% of overweight subjects, and 12%, 15%, and 23% of those with class I, II, and III obesity, respectively (P<0.0001 for trend) and was slightly more frequent during treatment with atenolol than with losartan at all body size strata (achieving statistical significance in thin and overweight groups; Table 1). Current smoking was more frequent in thin individuals (43%) than in normal-weight (24%), overweight (15%), or obese (13%, 11%, and 12% in the 3 classes, respectively) subjects (P<0.0001). The prevalence of ischemic heart disease at baseline was highest in thin individuals (33%) and lowest in those with class III obesity (20%), with intermediate values in the overweight (25%), class I obesity (22%), and class II obesity (25%) groups (P<0.0001).


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TABLE 1. Risk of New-Onset Diabetes by BMI Categories in 7899 Patients Without Diabetes at Baseline

Table 2 shows that participants with class II and III obesity were younger than those in other groups and that thin participants were older than those in all other strata (all P<0.001). Mean systolic blood pressure was comparable among strata, but diastolic blood pressure was higher with obesity and lower in thin participants, who also had the highest pulse pressure (all P<0.001). Heart rate was higher with class II and III obesity or with thin body build (all P<0.001). Both total and HDL cholesterol levels were lower in class II or III obesity than in other strata. HDL cholesterol was highest in normal-weight and thin participants. Plasma glucose was lowest in the normal-weight and thin groups and rose progressively with overweight and obesity (all P<0.001).


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TABLE 2. Baseline Characteristics (n=9079)

Renal Status
The urinary albumin:creatinine ratio was markedly higher with both class III obesity and thin body build than in all other groups (P<0.001; Table 2). The lowest creatinine clearance was found in thin individuals and in the most obese participants (P<0.0001). Urine albumin/creatinine ratio and creatinine clearance were not improved significantly by losartan treatment compared with atenolol-based therapy (both P>0.3).

Left Ventricular Hypertrophy
The Sokolow-Lyon voltage decreased with increasing BMI, from thin to class II and III obesity (P<0.0001). In contrast, the Cornell voltage-duration product was progressively higher from thin to obese participants (P<0.0001). In an ANOVA post hoc evaluation, Cornell voltage-duration product was statistically indistinguishable in thin and normal-weight groups, and it was lower than in overweight or obese groups (all P<0.01) in both. Cornell voltage-duration product was similar in the 3 classes of obesity but higher than in the overweight group (all P<0.01).

Cardiovascular Events in Relation to Body Build
The crude incidences of the primary composite end point did not differ among the 6 body build strata (17% in thin, 12% in normal weight, 12% in overweight, and 10%, 12%, and 11% in class I, class II, and class III obesity, respectively), whereas cardiovascular mortality was highest in thin individuals (10%), and lower in the other groups (5% in normal weight, thin, or overweight; 4%, 5%, and 2% in class I, class II, and class III obesity, respectively; P=0.09 for overall {chi}2 distribution).

Proportional Hazard Analysis
Hazard ratios for the primary composite end point in relation to the strata of body build were examined in Cox proportional hazard analysis with adjustment for age, Sokolow-Lyon voltage, Cornell voltage-duration product, gender (1=women, 2=men), ethnicity (black and other races relative to whites), smoking habit (1=nonsmokers, 2=former smokers, 3=current smokers), diabetes, and prevalent cardiovascular disease. After controlling for covariates, the large group of overweight individuals had a 17% higher risk of the primary composite end point than normal-weight patients (Table 3). The composite event rate was 35% higher in pooled class II and III obesity. Risk of the primary composite end point was also related to older age, diabetes, current smoking, male gender, prevalent cardiovascular disease, and both ECG indices of left ventricular hypertrophy.


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TABLE 3. Cox Proportional Hazard Analysis

Risk of cardiovascular mortality was higher among thin individuals (P<0.05) and those with classes II and III obesity (P<0.004; Table 3) than among those with normal body build. Other predictors of cardiovascular death were older age, diabetes, current smoking, black race, male gender, prevalent cardiovascular disease, and both ECG indices of left ventricular hypertrophy. The Figure displays adjusted cumulative incidence of the primary composite end point and of cardiovascular mortality for categories of body build, showing the higher cardiovascular mortality rate in thin participants and those with class II or III obesity.



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Kaplan-Meier curves according to class of body build after adjustment for age, gender, race, diabetes, smoking habit, prevalent cardiovascular disease, and ECG indices of left ventricular hypertrophy (Sokolow-Lyon voltage and Cornell voltage-duration product). A, Primary composite end point; B, Cardiovascular mortality.

Therapy and Body Build
Although randomization was not stratified by body weight, treatment allocation to losartan or atenolol was similar in all body build groups: losartan was given to 54% of thin, 50% of normal-weight, 50% of overweight, 50% of class I obese, 46% of class II obese, and 52% of class III obese patients (P=0.525). The effect of randomized treatment was tested by the introduction of treatment into the Cox proportional hazard model. Table 4 shows that the increased risks of either the primary composite end point or cardiovascular mortality associated with body build were not modified substantially by treatment and that losartan maintained a protective effect compared with atenolol in reducing the risk of the primary composite end point by 15%, independent of body build and the considered covariates.


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TABLE 4. Cox Proportional Hazard Analysis Including Treatment Effect


*    Discussion
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*Discussion
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The present analysis addresses the effect of body build strata on prognosis in a large population of hypertensive patients at high risk because of the presence of ECG left ventricular hypertrophy. This study also examines the potential interaction between body build and benefit of losartan-based antihypertensive treatment. Major new findings are that in the presence of established hypertensive target-organ damage, both extremes of the body build spectrum are associated with worse cardiovascular outcome, independent of coexisting risk factors, and that adjustment for the prognostic impact of different body build strata had no effect on the benefit associated with losartan-based antihypertensive therapy in the LIFE study.

Severe Obesity as an Independent Prognostic Predictor
The evidence that obesity is related to high cardiovascular risk is strong,9,21–24 in large part because most obese persons have several major risk factors, often satisfying criteria for the metabolic syndrome.25 In unselected populations, obesity contributes to increased cardiac workload and thereby to development of left ventricular hypertrophy,26–30 which in turn is associated with adverse prognosis. In the LIFE study population, the association of obesity with increased cardiovascular mortality remained significant even after adjustment for ECG indices of left ventricular hypertrophy. Thus, after accounting for major confounders even in a context (by design) of high cardiovascular risk, obesity plays an independent role in the evolution of cardiovascular disease.31 Although the ECG is not optimally sensitive for detecting left ventricular hypertrophy in obese subjects, sensitivity was improved by combination of Cornell product and Sokolow-Lyon voltage criteria. As a result, the proportion of LIFE participants with left ventricular hypertrophy by one or both criteria was similar in all groups defined by body mass index (74% to 78%, P=0.70).32,33

The design of the LIFE study does not provide information about mechanisms of obesity-related risk. There is, however, growing evidence that severe obesity is associated with activation of inflammatory mechanisms,34–39 increase in vascular thromboxane receptor gene expression,40 and increased fibrinogen levels41 that might be involved in precipitating cardiovascular disease events, especially when cardiovascular risk is high or very high. Activation of circulating markers of inflammation is most evident with central body fat distribution.37 This pattern of body fat distribution is also associated with greater target-organ damage than peripheral body fat distribution.8,27,42 Although body fat distribution was not measured in the LIFE study, recent evidence43 indicates that class II and III obesity are mostly of the central type.44 Analyses performed in the HyperGEN registry,27,45 using receiver operating characteristic curves, confirmed that specificity of BMI ≥35 kg/m2 for central fat distribution was 99.8% and 98% in men and women, respectively.

Interestingly, in the LIFE population, class I obesity was not independently associated with higher cardiovascular risk once associated risk factors and markers of preclinical disease were taken into account. This finding suggests that the adverse effects of mild (class I) obesity are mediated mainly by conventional risk factors and resulting left ventricular hypertrophy, whereas in more severe obesity, additional biological mechanisms make increased adiposity harmful beyond established cardiovascular risk factors or preclinical cardiovascular disease.

Thin Individuals and Hypertension
Another interesting aspect of the present findings is that thin hypertensive individuals (BMI <20 kg/m2) with ECG left ventricular hypertrophy have as high a risk of cardiovascular death as those with severe obesity. This is not surprising, because thin participants in the LIFE study had more prevalent cardiovascular disease and risk factors, including a higher prevalence of smokers, higher pulse pressure, hypercholesterolemia, albuminuria, and lower creatinine clearance. The low BMI in these subjects may be, at least in part, a consequence of more severe cardiovascular impairment. Previous epidemiological studies have documented an association of low body weight with cardiovascular events,10 and in these studies, as well as in the LIFE study, thin body build remained an independent predictor, even when risk profile was taken into account.7,46 Thus, the risk associated with low body weight in the LIFE study may be related, at least in part, to the presence of underlying disease.

An aspect that linked the 2 extreme BMI classes is the association with renal dysfunction. Levels of circulating creatinine were not substantially different among the different body size groups, despite the widely different body weight, which suggests a more severe renal impairment in the older, thin individuals. In fact, in this population sample of hypertensive patients with ECG signs of left ventricular hypertrophy, estimated creatinine clearance was significantly reduced in thin individuals to a level comparable to the reduction detected in class II-III obesity.5

Because in the LIFE study, thin body build was as predictive of cardiovascular death as morbid obesity, renal dysfunction might play a role as an accelerator of impairment of arterial system.47 Although the 2 extremes of the body build distribution appear to be prognostically similar, participants with normal weight, overweight, and even class I obesity (ie, BMI 20 to 35 kg/m2) did not differ substantially in cardiovascular event rate. This risk pattern confirms the findings of large epidemiological studies of association of mortality with body size.10

Treatment Effect
The increased cardiovascular risk associated with the extremes of body build distribution was not influenced substantially by treatment, although the hazard ratios associated with thin or severely obese body build lost significance when the effect of losartan was considered in the predictive model. The small fluctuations of hazard ratios did not reveal any interaction between body build and the effect of losartan treatment. This observation cannot be extrapolated automatically to other angiotensin II type 1 receptor inhibitors. Losartan presents some functional differences from other angiotensin receptor blockers, because its activity is not specific for angiotensin II type 1 receptor inhibition. The losartan metabolite EXP3179 is detectable in patients in concentrations that exhibit antiinflammatory and antiaggregatory properties in vitro48,49, through block of thromboxane receptors,50–52 a characteristic that might be very useful in obesity.

Conclusions
In the LIFE study, stratification for classes of body build identified increased risk of cardiovascular mortality in both thin and moderately-to-severely obese individuals. This risk was not attenuated significantly by losartan treatment, nor did it interfere with the greater benefit of losartan-based treatment as opposed to atenolol-based treatment. Aggressive treatment of patients at extremes of body build distribution to lower targets for blood pressure or other risk factors may be needed to reduce cardiovascular mortality.


*    Acknowledgments
 
The LIFE study was supported by Merck & Co, Inc. The authors thank Paulette A. Lyle for assistance with preparation of the manuscript.

Disclosure

Drs Beevers, Dahlöf, de Faire, Devereux, Fyhrquist, Ibsen, Kjeldsen, Julius, Lederballe-Pedersen, Lindholm, Nieminen, Omvik, Oparil, and Wachtell have received grants from Merck & Co, Inc. Darcy Hille is an employee of Merck & Co, Inc.

Dr Beevers has served on the Advisory Boards of Merck & Co, Inc, and AstraZeneca. Dr Dahlöf has served as a consultant to Pfizer, Novartis, Boehringer, and Merck, and has had speaking engagements with Pfizer, Novartis, Boehringer, Merck, AstraZeneca, Bayer, Bristol-Myers Squibb, and Servier. Dr Fyhrquist has received honoraria for lecturing at symposia arranged by Merck Sharpe & Dohme. Dr Kjeldsen has received honoraria from AstraZeneca, Bayer, Merck, Novartis, Pharmacia, and Pfizer. Dr Omvik has received honoraria from Merck & Co, Inc, Pfizer, Novartis, Pharmacia, and AstraZeneca. Dr Oparil is the recipient of grants-in-aid from Abbott Laboratories, AstraZeneca, Aventis, Biovail, Boeheringer Ingelheim, Bristol-Myers Squibb, Eli Lilly, Encysive (previously Texas Biotechnology Corporation), Forest Laboratories, GlaxoSmithKline, Monarch, Novartis, Merck & Co, Inc, Pfizer, Sankyo Pharma, Sanofi-Synthelabo, Schering Plough, Scios, and Wyeth. Dr Oparil is a consultant for Bristol-Myers Squibb, Biovail, Merck & Co, Inc, Pfizer, Reliant, Sanofi, Novartis, The Salt Institute, and Wyeth, and she is a member of the Board of Directors for Encysive Pharmaceuticals. Dr Devereux has received honoraria for speaking engagements from and is a paid consultant for Merck & Co, Inc.


*    References
up arrowTop
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up arrowIntroduction
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*References
 
1. Dustan HP. Mechanisms of hypertension associated with obesity. Ann Intern Med. 1983; 98 (part 2): 860–864.[Medline] [Order article via Infotrieve]

2. Pan WH, Nanas S, Dyer A, Liu K, McDonald A, Schoenberger JA, Shekelle RB, Stamler R, Stamler J. The role of weight in the positive association between age and blood pressure. Am J Epidemiol. 1986; 124: 612–623.[Abstract/Free Full Text]

3. Kaplan NM. The deadly quartet: upper-body obesity, glucose intolerance, hypertriglyceridemia, and hypertension. Arch Intern Med. 1989; 149: 1514–1520.[Abstract/Free Full Text]

4. Gottdiener JS, Reda DJ, Materson BJ, Massie BM, Notargiacomo A, Hamburger RJ, Williams DW, Henderson WG. Importance of obesity, race and age to the cardiac structural and functional effects of hypertension: the Department of Veterans Affairs Cooperative Study Group on Antihypertensive Agents. J Am Coll Cardiol. 1994; 24: 1492–1498.[Abstract]

5. Hall JE, Kuo JJ, da Silva AA, de Paula RB, Liu J, Tallam L. Obesity-associated hypertension and kidney disease. Curr Opin Nephrol Hypertens. 2003; 12: 195–200.[CrossRef][Medline] [Order article via Infotrieve]

6. Rahmouni K, Correia ML, Haynes WG, Mark AL. Obesity-associated hypertension: new insights into mechanisms. Hypertension. 2004; 45: 9–14.[CrossRef][Medline] [Order article via Infotrieve]

7. Barrett-Connor E, Khaw KT. Is hypertension more benign when associated with obesity? Circulation. 1985; 72: 53–60.[Abstract/Free Full Text]

8. Lakka TA, Lakka HM, Salonen R, Kaplan GA, Salonen JT. Abdominal obesity is associated with accelerated progression of carotid atherosclerosis in men. Atherosclerosis. 2001; 154: 497–504.[CrossRef][Medline] [Order article via Infotrieve]

9. Wilson PW, D’Agostino RB, Sullivan L, Parise H, Kannel WB. Overweight and obesity as determinants of cardiovascular risk: the Framingham experience. Arch Intern Med. 2002; 162: 1867–1872.[Abstract/Free Full Text]

10. 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.[Abstract/Free Full Text]

11. Lenfant C, Chobanian AV, Jones DW, Roccella EJ. Seventh report of the Joint National Committee on the Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC 7): resetting the hypertension sails. Hypertension. 2003; 41: 1178–1179.[Free Full Text]

12. Practice guidelines for primary care physicians: 2003 ESH/ESC hypertension guidelines. J Hypertens. 2003; 21: 1779–1786.[CrossRef][Medline] [Order article via Infotrieve]

13. Barton M, Carmona R, Ortmann J, Krieger JE, Traupe T. Obesity-associated activation of angiotensin and endothelin in the cardiovascular system. Int J Biochem Cell Biol. 2003; 35: 826–837.[CrossRef][Medline] [Order article via Infotrieve]

14. Dahlöf B, Devereux RB, de Faire U, Fyhrquist F, Hedner T, Ibsen H, Julius S, Kjeldsen S, Kristianson K, Lederballe-Pedersen O, Omvik P, Nieminen MS, Oparil S, Wedel H. The Losartan Intervention For Endpoint reduction (LIFE) in Hypertension Study. Am J Hypertens. 1997; 10: 705–713.[CrossRef][Medline] [Order article via Infotrieve]

15. Dahlöf B, Devereux RB, Julius S, Kjeldsen SE, Beevers G, de Faire U, Fyhrquist F, Hedner T, Ibsen H, Kristianson K, Lederballe-Pedersen O, Lindholm LH, Nieminen MS, Omvik P, Oparil S, Wedel H. Characteristics of 9194 patients with left ventricular hypertrophy: the LIFE study. Hypertension. 1998; 32: 989–997.[Abstract/Free Full Text]

16. World Health Organization. Diabetes mellitus: a report of a WHO study group. Geneva, Switzerland: World Health Organization; 1985. No. 727. Technical Report Series.

17. Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976; 16: 31–41.[Medline] [Order article via Infotrieve]

18. Pai MP, Paloucek FP. The origin of the "ideal" body weight equations. Ann Pharmacother. 2000; 34: 1066–1069.[Abstract]

19. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: the evidence report: National Institutes of Health. Obes Res. 1998; 6 (suppl 2): 51S–209S.[Medline] [Order article via Infotrieve]

20. Dahlöf B, Devereux RB, Kjeldsen SE, Julius S, Beevers G, Faire U, Fyhrquist F, Ibsen H, Kristiansson K, Lederballe-Pedersen O, Lindholm LH, Nieminen MS, Omvik P, Oparil S, Wedel H. Cardiovascular morbidity and mortality in the Losartan Intervention For Endpoint reduction in hypertension study (LIFE): a randomised trial against atenolol. Lancet. 2002; 359: 995–1003.[CrossRef][Medline] [Order article via Infotrieve]

21. Hubert HB, Feinleib M, McNamara PM, Castelli WP. Obesity as an independent risk factor for cardiovascular disease: a 26-year follow-up of participants in the Framingham Heart Study. Circulation. 1983; 67: 968–977.[Abstract/Free Full Text]

22. Manson JE, Colditz GA, Stampfer MJ, Willett WC, Rosner B, Monson RR, Speizer FE, Hennekens CH. A prospective study of obesity and risk of coronary heart disease in women. N Engl J Med. 1990; 322: 882–889.[Abstract]

23. Wilson PW. Established risk factors and coronary artery disease: the Framingham Study. Am J Hypertens. 1994; 7 (part 2): 7S–12S.[Medline] [Order article via Infotrieve]

24. Welty TK, Lee ET, Yeh J, Cowan LD, Go O, Fabsitz RR, Le NA, Oopik AJ, Robbins DC, Howard BV. Cardiovascular disease risk factors among American Indians: the Strong Heart Study. Am J Epidemiol. 1995; 142: 269–287.[Abstract/Free Full Text]

25. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). 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) final report. Circulation. 2002; 106: 3143–3421.[Free Full Text]

26. Kenchaiah S, Evans JC, Levy D, Wilson PW, Benjamin EJ, Larson MG, Kannel WB, Vasan RS. Obesity and the risk of heart failure. N Engl J Med. 2002; 347: 305–313.[Abstract/Free Full Text]

27. de Simone G, Palmieri V, Bella JN, Celentano A, Hong Y, Oberman A, Kitzman DW, Hopkins PN, Arnett DK, Devereux RB. Association of left ventricular hypertrophy with metabolic risk factors: the HyperGEN study. J Hypertens. 2002; 20: 323–331.[CrossRef][Medline] [Order article via Infotrieve]

28. Collis T, Devereux RB, Roman MJ, de Simone G, Yeh J, Howard BV, Fabsitz RR, Welty TK. Relations of stroke volume and cardiac output to body composition: the Strong Heart Study. Circulation. 2001; 103: 820–825.[Abstract/Free Full Text]

29. Kuch B, Hense HW, Gneiting B, Doring A, Muscholl M, Brockel U, Schunkert H. Body composition and prevalence of left ventricular hypertrophy. Circulation. 2000; 102: 405–410.[Abstract/Free Full Text]

30. de Simone G, Devereux RB, Roman MJ, Alderman MH, Laragh JH. Relation of obesity and gender to left ventricular hypertrophy in normotensive and hypertensive adults. Hypertension. 1994; 23: 600–606.[Abstract/Free Full Text]

31. Kurth T, Gaziano JM, Berger K, Kase CS, Rexrode KM, Cook NR, Buring JE, Manson JE. Body mass index and the risk of stroke in men. Arch Intern Med. 2002; 162: 2557–2562.[Abstract/Free Full Text]

32. Suk SH, Sacco RL, Boden-Albala B, Cheun JF, Pittman JG, Elkind MS, Paik MC. Abdominal obesity and risk of ischemic stroke: the Northern Manhattan Stroke Study. Stroke. 2003; 34: 1586–1592.[Abstract/Free Full Text]

33. McGill HC Jr, McMahan CA, Herderick EE, Zieske AW, Malcom GT, Tracy RE, Strong JP. Obesity accelerates the progression of coronary atherosclerosis in young men. Circulation. 2002; 105: 2712–2718.[Abstract/Free Full Text]

34. Xu H, Barnes GT, Yang Q, Tan G, Yang D, Chou CJ, Sole J, Nichols A, Ross JS, Tartaglia LA, Chen H. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J Clin Invest. 2003; 112: 1821–1830.[CrossRef][Medline] [Order article via Infotrieve]

35. Wellen KE, Hotamisligil GS. Obesity-induced inflammatory changes in adipose tissue. J Clin Invest. 2003; 112: 1785–1788.[CrossRef][Medline] [Order article via Infotrieve]

36. Engeli S, Feldpausch M, Gorzelniak K, Hartwig F, Heintze U, Janke J, Mohlig M, Pfeiffer AF, Luft FC, Sharma AM. Association between adiponectin and mediators of inflammation in obese women. Diabetes. 2003; 52: 942–947.[Abstract/Free Full Text]

37. Festa A, D’Agostino R Jr, Williams K, Karter AJ, Mayer-Davis EJ, Tracy RP, Haffner SM. The relation of body fat mass and distribution to markers of chronic inflammation. Int J Obes Relat Metab Disord. 2001; 25: 1407–1415.[CrossRef][Medline] [Order article via Infotrieve]

38. Ramos EJ, Xu Y, Romanova I, Middleton F, Chen C, Quinn R, Inui A, Das U, Meguid MM. Is obesity an inflammatory disease? Surgery. 2003; 134: 329–335.[CrossRef][Medline] [Order article via Infotrieve]

39. Visser M, Bouter LM, McQuillan GM, Wener MH, Harris TB. Elevated C-reactive protein levels in overweight and obese adults. JAMA. 1999; 282: 2131–2135.[Abstract/Free Full Text]

40. Traupe T, Lang M, Goettsch W, Munter K, Morawietz H, Vetter W, Barton M. Obesity increases prostanoid-mediated vasoconstriction and vascular thromboxane receptor gene expression. J Hypertens. 2002; 20: 2239–2245.[CrossRef][Medline] [Order article via Infotrieve]

41. Palmieri V, Celentano A, Roman MJ, de Simone G, Lewis MR, Best L, Lee ET, Robbins DC, Howard BV, Devereux RB. Fibrinogen and preclinical echocardiographic target organ damage: the Strong Heart Study. Hypertension. 2001; 38: 1068–1074.[Abstract/Free Full Text]

42. De Michele M, Panico S, Iannuzzi A, Celentano E, Ciardullo AV, Galasso R, Sacchetti L, Zarrilli F, Bond MG, Rubba P. Association of obesity and central fat distribution with carotid artery wall thickening in middle-aged women. Stroke. 2002; 33: 2923–2928.[Abstract/Free Full Text]

43. Ferreira I, Twisk JWR, van Mechelen W, Kemper HCG, Seidell JCS, Stehouwer CDA. Current and adolescent body fatness and fat distribution: relationship with carotid intima-media thickness and large artery stiffness at age 36. J Hypertens. 2004; 22: 145–155.[CrossRef][Medline] [Order article via Infotrieve]

44. de Simone G, Grassi G. Fat is bad: even in thin people? J Hypertens. 2004; 22: 35–37.[CrossRef][Medline] [Order article via Infotrieve]

45. Williams RR, Rao DC, Ellison RC, Arnett DK, Heiss G, Oberman A, Eckfeldt JH, Leppert MF, Province MA, Mockrin SC, Hunt SC. NHLBI family blood pressure program: methodology and recruitment in the HyperGEN network: Hypertension genetic epidemiology network. Ann Epidemiol. 2000; 10: 389–400.[CrossRef][Medline] [Order article via Infotrieve]

46. Wassertheil-Smoller S, Fann C, Allman RM, Black HR, Camel GH, Davis B, Masaki K, Pressel S, Prineas RJ, Stamler J, Vogt TM. Relation of low body mass to death and stroke in the Systolic Hypertension in the Elderly Program: the SHEP Cooperative Research Group. Arch Intern Med. 2000; 160: 494–500.[Abstract/Free Full Text]

47. London GM. Vascular disease and atherosclerosis in uremia. Blood Purif. 2001; 19: 139–142.[CrossRef][Medline] [Order article via Infotrieve]

48. Kramer C, Sunkomat J, Witte J, Luchtefeld M, Walden M, Schmidt B, Tsikas D, Boger RH, Forssmann WG, Drexler H, Schieffer B. Angiotensin II receptor–independent anti-inflammatory and antiaggregatory properties of losartan: role of the active metabolite EXP3179. Circ Res. 2002; 90: 770–776.[Abstract/Free Full Text]

49. Schmidt B, Schieffer B. Angiotensin II AT1 receptor antagonists: clinical implications of active metabolites. J Med Chem. 2003; 46: 2261–2270.[CrossRef][Medline] [Order article via Infotrieve]

50. Liu EC, Hedberg A, Goldenberg HJ, Harris DN, Webb ML. DuP 753, the selective angiotensin II receptor blocker, is a competitive antagonist to human platelet thromboxane A2/prostaglandin H2 (TP) receptors. Prostaglandins. 1992; 44: 89–99.[CrossRef][Medline] [Order article via Infotrieve]

51. Li P, Ferrario CM, Brosnihan KB. Losartan inhibits thromboxane A2–induced platelet aggregation and vascular constriction in spontaneously hypertensive rats. J Cardiovasc Pharmacol. 1998; 32: 198–205.[CrossRef][Medline] [Order article via Infotrieve]

52. Katugampola SD, Davenport AP. Thromboxane receptor density is increased in human cardiovascular disease with evidence for inhibition at therapeutic concentrations by the AT(1) receptor antagonist losartan. Br J Pharmacol. 2001; 134: 1385–1392.[CrossRef][Medline] [Order article via Infotrieve]




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