| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Hypertension. 2008;51:282.)
© 2008 American Heart Association, Inc.
Original Articles |
From the Metabolism and MRI Laboratory (A.M.S., A.P., S.G., D.D.M., B.S., V.P., D.C., M.L., E.F., A.G.), Consiglio Nazionale delle Ricerche Institute of Clinical Physiology, Pisa, Italy; and the Department of Internal Medicine (E.M., E.F.), University of Pisa School of Medicine, Pisa, Italy.
Correspondence to Anna M. Sironi, Consiglio Nazionale delle Ricerche Institute of Clinical Physiology, Via Moruzzi, 1-S Cataldo, 56124 Pisa, Italy. E-mail sironi{at}ifc.cnr.it
| Abstract |
|---|
|
|
|---|
Key Words: hypertension visceral fat epicardial fat insulin resistance cardiac MRI circumferential strain left ventricular function
| Introduction |
|---|
|
|
|---|
3-fold) of developing hypertension and cardiovascular disease in comparison with normotensive (NT) subjects.3 We have shown recently that ectopic fat accumulation in visceral and epicardial areas is a characteristic feature of essential hypertension4; the consequences, however, for cardiac morphology and function have not been investigated. We have assessed cardiac function using MRI and tagging.5–7 MRI provides a "1-shop" method for assessing not only cardiac morphology and function but also epicardial and visceral fat mass during the same session. MRI tagging, which directly measures intramural circumferential myocardial shortening, is a highly accurate method for direct quantification of regional systolic function, allowing one to reveal small, otherwise undetectable functional abnormalities of the myocardium.7
We hypothesized that the metabolic abnormalities of prehypertension and early hypertension, especially insulin resistance, may be linked with altered regional left ventricular (LV) function by affecting mechanisms involved in sustaining normal cardiac function. Thus, we set forth to investigate the early changes in heart morphology and dynamics in pre-HT subjects and newly diagnosed, untreated hypertensive subjects and their relationship with metabolic abnormalities.
| Materials and Methods |
|---|
|
|
|---|
40 kg.m–2); and no history of chest pain or previous cardiovascular disease. Subjects were studied within 3 months from first visit and were divided into 3 groups according to their blood pressure (BP) values: NT, pre-HT, and newly diagnosed hypertensive (new-HT) according to the Seventh Report of the Joint National Committee.2 The study protocol was approved by the institutional review board of the University of Pisa, and each subject gave informed written consent to participate.
Study Design
All of the subjects underwent the following: (1) a 3-hour OGTT; (2) measurement of global cardiac function and regional LV function by MRI; and (3) quantitation of abdominal subcutaneous and visceral fat and epicardial fat content by MRI. The OGTT was performed in the morning (8:00 AM) after a 10- to 12-hour overnight fast. Timed blood samples (at –15, 0, 15, 30, 60, 90, 120, 150, and 180 minutes) were collected for the measurement of plasma glucose, free fatty acids (FFAs), and insulin concentrations. Plasma glucose was measured by the glucose oxidase reaction (Beckman Glucose Analyzer). Plasma insulin, leptin, and adiponectin concentrations were measured by radioimmunoassay using specific kits (Linco Research). Plasma FFAs were measured spectrophotometrically (Wako). Serum lipid profile was determined by standard laboratory methods. Plasma norepinephrine concentration was assayed by high-performance liquid chromatography (HLC 725 apparatus) using electrochemical detection (Eurogenetics).
After a 30-minute acclimation period, BP was measured 3 times to the nearest 2 mm Hg in the sitting position using a mercury sphygmomanometer and appropriately sized cuffs. The average of 3 measurements was used to calculate systolic and diastolic BPs; mean BP was calculated as the diastolic value plus one third of the pulse pressure value.
MRI and Tagging
All of the subjects underwent a single MRI examination, inclusive of the cardiac and abdominal session. The MRI examination was performed on a whole-body MRI scanner (GE Signa CV/i 1.5T scanner; slew rate: maximum 150 mT/m per second), which operates with a 40-mT/m using a 4-channel cardiac or body coil.
Cardiac MRI acquisition was performed according to a standardized protocol. Cardiac images were obtained using breath-hold segmented gradient echo Fast Imaging Employing Steady State Acquisition, electrocardiographically triggered sequences. The echo time was 1.7 ms; repetition time was 4.0 ms; slice thickness was 8 to 10 mm with no interslice gap; field of view ranged from 320 to 380 mm; data matrix size was 256x192; trigger delay was minimum, with 8 to 12 views per segment depending on heart rate; and flip angle was 45°. Thirty cine frames were obtained both in 4-chamber and 2-chamber views to measure LV dimensions. On the 4-chamber view slice, the LV was covered from the base to apex, with a stack of slices in the true short axis. The basal short-axis slice was positioned just forward of the atrioventricular ring, and all of the subsequent breath-hold slices were acquired toward the apex. The tagging pulse sequence consisted of nonselective radiofrequency pulses separated by spatial modulation of magnetization-encoding gradients to achieve a tag separation of 7 mm.8 Three base-to-apex short-axis sections were prescribed (basal, equatorial, and apical regions). Two sets of identical short-axis views were acquired, with the second set rotated by 90°; in this way, we imaged the 3 slices within 3 breath holds (
20 seconds each). The number of views per phase was optimized on the basis of the patients heart rate.
Epicardial, visceral (VF) and subcutaneous depots were measured by MRI using previously published procedures.4,9 For epicardial fat imaging, cardiac coil and ECG triggering were used for the sequences; during the acquisition time, patients were in breath hold (10 to 12 seconds). Epicardial adipose tissue scans were obtained by fast-spin echo T1-weighted sequences with oblique axial orientation for a correct study of horizontal long axes of the heart (echo time: 42 ms; echo train length: 23; bandwidth: 62.50 KHz; slice thickness: 8 mm; slice gap: 0 mm; field of view: 38 cm; matrix: 288x224; phase field of view: 0.75; number of excitations: 1; trigger delay: minimum). For abdominal fat imaging, a sagittal localizing image was used to center transverse sections on the line through the space between L4 and L5. Thirty-two transverse, T1-weighted 256x256 images (repetition time: 135 ms; echo time: 4.2 ms; flip angle: 90°) were acquired in breath hold with a slice thickness of 5 mm with no overlap.
Data Analysis
LV contours were drawn in end-diastolic and end-systolic short-axis frames using a commercial postprocessing program (Mass Analysis, Medis) on an independent Sun-sparc Station. LV end-diastolic volume (EDV) and end-systolic volume (ESV) were measured by manual planimetry and subsequent multiplication with slice thickness. Final LV volumes were calculated by simple addition of the individual slice volumes in the stack of contiguous slices for the entire left ventricle. Indexed LV volumes were obtained by dividing EDV and ESV by the body surface area. LV mass index (grams per meter squared) was calculated by multiplying the difference between epicardial and endocardial indexed EDV by the density of myocardial tissue (1.05 g/mL). Both EDV and ESV were used to calculate LV indexed stroke volume (milliliters per meter squared) and ejection fraction. Cardiac index (liters per minute per meter squared) was obtained as the product of stroke volume and heart rate. Left ventricle was divided into 17 segments according to the American Heart Association standardized myocardial segmentation.10 The analysis of tagged cardiac images was performed using the harmonic phase technique, obtaining a fast and accurate assessment of 2D strain fields.11 Peak systolic midwall circumferential strain was determined in 16 segments in 3 slices (6 basal, 6 midcavity, and 4 apical slices). Peak systolic circumferential strain values are conventionally negative to express circumferential shortening (absolute value), ie, the circumferential length reduction that occurs during systole. Therefore, a less negative circumferential strain indicates reduced regional function. The sensitivity of harmonic phase to small changes in myocardial strain and its potential application in clinical cardiology have been described.12 During the analysis of the LV parameters, operators were blinded to the patient group. We also calculated end-systolic wall stress using the Grossman formula, as follows13: equation
|
|
where SP is the peak systolic ventricular BP (in mm Hg) measured during the MRI session, 0.133 is a conversion factor to express the final results in 103 N/m2, R is the inner radius, and T is the wall thickness measured during the end systole.
Visceral and subcutaneous volumes were analyzed by an ad hoc developed software,9 as validated recently.14 A factor of 0.92 was use to convert adipose tissue volume into adipose tissue mass.15 Epicardial fat areas were measured using a semiautomatic program for the detection of the margins of adipose tissue around the heart as region of interest from the 4 chambers images and by counting the number of pixels.4
Statistical Analysis
Data are given as the mean±SEM. Data with a skewed distribution (ie, plasma triglyceride [TG] and cholesterol concentrations and insulin parameters) are given as median and interquartile range and were log transformed for use in statistical analysis. Mean glucose, insulin, and FFA during OGTT were calculated by dividing areas under the curves (calculated by the trapezoidal rule) by 180 minutes. Insulin sensitivity was calculated as the oral glucose insulin sensitivity index, which equals the average metabolic clearance rate of glucose during the OGTT and has been validated against the euglycemic insulin clamp technique.16,17 Group values were compared by ANOVA or Kruskal-Wallis test for normal and nonnormal variables, respectively. General mixed-linear models were used to control for covariance; linear contrasts were then applied to estimate group differences.
| Results |
|---|
|
|
|---|
|
Global and Regional Cardiac Function
Indices of global cardiac function (left and right ventricle ESV and EDV and ejection fraction) were within the respective reference ranges in all of the subjects and did not differ among groups (Table 2). End systolic wall stress, calculated using the Grossman formula, was also similar. Only LV mass showed a tendency to increase across the groups. On the other hand, epicardial fat area increased across the groups by
50%.
|
LV myocardial shortening showed a marked regional variation: in the whole data set, systolic shortening at the base was consistently lower than in apical segments (–14.9±0.4 versus –16.0±0.6; P=0.03). In all 3 of the segments, circumferential shortening was reduced across the groups when compared with NT individuals (Figure 1), indicating that there was already an alteration in regional cardiac function as subjects progress from pre-HT to essential hypertension.
|
Correlations
In univariate analysis of the whole data set, higher BP (as the mean BP) was associated with older age, increased fat mass in the intra-abdominal and epicardial areas, higher fasting TG concentration, higher FFA levels during the OGTT, and impaired insulin sensitivity (Table 3). Among cardiac parameters, mean BP was associated with increased LV mass and decreased circumferential shortening in all of the segments. No association was evident between norepinephrine and regional or global cardiac function.
|
Decreased circumferential shortening was associated with higher fat mass and ectopic fat accumulation in both visceral and epicardial areas, higher fasting TG and post-OGTT FFA levels, and insulin resistance. Importantly, in these relationships, data from all of the study subjects were distributed continuously along the regression lines (Figure 2) and were still significant after controlling for age. Both TG level and epicardial fat alone explained >35% of the variability on apical shortening. The tight association between apical shortening and ectopic fat accumulation was still significant after adjusting for both age and BP (r=0.60, P<0.0003 for epicardial fat and r=0.58, P<0.04 for visceral fat).
|
When both epicardial and TG levels were put in a multiple regression analysis, the apical shortening variability that was explained by this model was 46%. The addition as independent variables of age, mean BP, body mass index, VF, or insulin sensitivity did not improve the variability explained, showing that these 2 variables (TG level and epicardial fat) are very important to LV shortening, even if this will require further studies to know the implications.
LV mass was associated with increased BP, but after accounting for mean BP and age, the only parameter that remained significantly correlated was insulin resistance (r=0.34; P=0.05). Insulin resistance was associated with increased BP, reduced LV shortening (Table 3), and increased visceral and epicardial fat. The latter correlations hold even after adjusting for age and mean BP (VF: partial r=–0.58, P=0.0004; epicardial: partial r=–0.35, P=0.04).
| Discussion |
|---|
|
|
|---|
Regional Cardiac Function and BP
We found LV shortening reduced in pre-HT and new-HT patients in all 3 of the regions (basal, middle, and apical LV segments) as compared with a control group of NT volunteers. These results are in line with a recent study that documented a reduction in circumferential shortening in a large cohort of hypertensive patients18 but has as a limitation the inclusion of patients who were pharmacologically treated or had diabetes; made no distinction between pre-HT, new HT, and treated hypertension; and, most importantly, did not report cardiac function. The patients studied here were only men, carefully selected with pre-HT or new HT, without diabetes (OGTT proven), and with a normal cardiac function, thus avoiding the most common confounding factors. Our results suggest that regional LV function is a progressive defect that worsens progressively as BP increases and is already present in subjects with mild increased BP also when levels are not yet considered pathological (ie, pre-HT) and in the absence of other cardiac abnormalities (ie, cardiac volumetry and global function). Thus, the impaired intramural systolic function may precede alterations in LV volumes and global function.
Regional Cardiac Function and Metabolic Abnormalities
Although it was not surprising that the observed reduction in LV circumferential shortening was directly related to BP (even after accounting for age), a novel finding was the association with metabolic abnormalities, such as insulin resistance, ectopic fat (visceral and epicardial) accumulation, and hypertriglyceridemia. Insulin resistance has been shown previously in patients with essential hypertension directly related to BP,4,19,20 and many studies have linked insulin resistance with cardiovascular risk.21 We found insulin resistance associated not only with increased mean BP but also with reduced LV shortening and increased LV mass, even if this value was within reference ranges.
Insulin resistance and increased BP have often also been associated with ectopic fat accumulation and lipid abnormalities.4,22 Both visceral and epicardial fat were independently associated with insulin resistance and mean BP, but the novel finding is that both were associated with reduced circumferential shortening. Because the role of ectopic fat deposits on cardiac metabolism is still not well understood, we can only speculate. Both visceral and epicardial fat are highly lipolytic,23–25 and there is growing evidence that alterations in energy substrate metabolism contribute to LV remodeling, systolic dysfunction, and cardiac hypertrophy.26 A possible role of excess lipids in altered heart metabolism has been hypothesized recently,26 and experimental studies in Zucker diabetic fatty rats indicate that cardiac "steatosis" can lead to impaired myocardial contractility and cardiomyopathy.27,28 In this cohort of subjects, impaired suppression of FFA by insulin during the OGTT and higher TG levels correlated with epicardial fat, reduced regional ventricular shortening, and reduced insulin sensitivity, indicating a role for chronic substrate alterations in the reduction of regional LV function. It is known that adipose tissue is not only a source of FFA but also secretes adipokines and inflammatory cytokines (monocyte chemotactic protein-1, interleukin-6, interleukin-1β, and tumor necrosis factor-
),29,30 and it was shown recently that epicardial adipose tissue had a high expression of chemokines and inflammatory cytokines.31,32 In this study, epicardial fat alone explained 35% of the total variability of reduced LV shortening at the apical level, suggesting epicardial fat as a new cardiometabolic risk marker.29,30
Limits of the Study
Among the limits of this study there is the small size of the studied cohort. However, this cohort of subjects was composed only of male subjects (the major part of the hypertensive population) without diabetes with similar body mass index and age and without treatments that can affect cardiac function or metabolism. This high selection, together with the high resolution and reproducibility of the tagging technique, the abdominal imaging, and the careful metabolic analyses, optimized the likelihood of detecting the subtle differences that characterize the early stages of the hypertensive disease. In conclusion, regional LV function is already reduced at early stages of hypertension, especially at the apical level, and progressively decreased with increased mean BP and deterioration in metabolic profile, such as increased insulin resistance, TG concentration, and epicardial and visceral fat accumulation.
Perspectives
Regional LV function is a progressive defect that worsens progressively as BP increases and is already present in subjects with mild increased BP also when levels are not yet considered pathological (ie, pre-HT) and in the absence of other cardiac abnormalities (ie, cardiac volumetry and global function). The concomitant presence of metabolic derangements (eg, insulin resistance, increased TGs, obesity, and increased waist circumference) suggests that they could play important roles and should be evaluated also in the early stage of hypertension. In the presence of pre-HT and metabolic alterations, changes in lifestyle should be recommended to prevent a possible deterioration in LV function and development of hypertensive cardiomyopathy.
| Acknowledgments |
|---|
Sources of Funding
The study has been financially supported by funds from the Italian National Research Council (ME.P01.011 and ME.P05.016).
Disclosures
None.
| Footnotes |
|---|
Received July 26, 2007; first decision August 12, 2007; accepted November 27, 2007.
| References |
|---|
|
|
|---|
2. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, Jones DW, Materson BJ, Oparil S, Wright JT Jr, Roccella EJ. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension. 2003; 42: 1206–1252.
3. Vasan RS, Larson MG, Leip EP, Evans JC, ODonnell CJ, Kannel WB, Levy D. Impact of high-normal blood pressure on the risk of cardiovascular disease. N Engl J Med. 2001; 345: 1291–1297.
4. Sironi AM, Gastaldelli A, Mari A, Ciociaro D, Positano V, Buzzigoli E, Ghione S, Turchi S, Lombardi M, Ferrannini E. Visceral fat in hypertension: influence on insulin resistance and beta-cell function. Hypertension. 2004; 44: 127–133.
5. Constantine G, Shan K, Flamm SD, Sivananthan MU. Role of MRI in clinical cardiology. Lancet. 2004; 363: 2162–2171.[CrossRef][Medline] [Order article via Infotrieve]
6. Rajappan K, Bellenger NG, Anderson L, Pennell DJ. The role of cardiovascular magnetic resonance in heart failure. Eur J Heart Fail. 2000; 2: 241–252.
7. Axel L, Montillo A, Kim D. Tagged magnetic resonance imaging of the heart: a survey. Med Image Anal. 2005; 9: 376–393.[CrossRef][Medline] [Order article via Infotrieve]
8. Axel L, Dougherty L. MR imaging of motion with spatial modulation of magnetization. Radiology. 1989; 171: 841–845.
9. Positano V, Gastaldelli A, Sironi AM, Santarelli MF, Lombardi M, Landini L. An accurate and robust method for unsupervised assessment of abdominal fat by MRI. J Magn Reson Imaging. 2004; 20: 684–689.[CrossRef][Medline] [Order article via Infotrieve]
10. Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, Pennell DJ, Rumberger JA, Ryan T, Verani MS. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Cliniical Cardiology of the Am Heart Association. Int J Cardiovasc Imaging. 2002; 18: 539–542.[Medline] [Order article via Infotrieve]
11. Osman NF, Prince JL. Visualizing myocardial function using HARP MRI. Phys Med Biol. 2000; 45: 1665–1682.[CrossRef][Medline] [Order article via Infotrieve]
12. Garot J, Bluemke DA, Osman NF, Rochitte CE, McVeigh ER, Zerhouni EA, Prince JL, Lima JA. Fast determination of regional myocardial strain fields from tagged cardiac images using harmonic phase MRI. Circulation. 2000; 101: 981–988.
13. Delepine S, Furber AP, Beygui F, Prunier F, Balzer P, Le Jeune JJ, Geslin P. 3-D MRI assessment of regional left ventricular systolic wall stress in patients with reperfused MI. Am J Physiol Heart Circ Physiol. 2003; 284: H1190–H1197.
14. Demerath EW, Ritter KJ, Couch WA, Rogers NL, Moreno GM, Choh A, Lee M, Remsberg K, Czerwinski SA, Chumlea WC, Siervogel RM, Towne B. Validity of a new automated software program for visceral adipose tissue estimation. Int J Obes (Lond). 2007; 31: 285–291.[CrossRef][Medline] [Order article via Infotrieve]
15. Snyder W, Cooke M, Mnassett E, Larhansen L, Howells G, Tipton I. Report of the Task Group on Reference Man. Oxford, United Kingdom: Pergammon; 1975.
16. Mari A, Pacini G, Murphy E, Ludvik B, Nolan JJ. A model-based method for assessing insulin sensitivity from the oral glucose tolerance test. Diabetes Care. 2001; 24: 539–548.
17. Mari A. Mathematical modeling in glucose metabolism and insulin secretion. Curr Opin Clin Nutr Metab Care. 2002; 5: 495–501.[CrossRef][Medline] [Order article via Infotrieve]
18. Rosen BD, Saad MF, Shea S, Nasir K, Edvardsen T, Burke G, Jerosch-Herold M, Arnett DK, Lai S, Bluemke DA, Lima JA. Hypertension and smoking are associated with reduced regional left ventricular function in asymptomatic: individuals the Multi-Ethnic Study of Atherosclerosis. J Am Coll Cardiol. 2006; 47: 1150–1158.
19. Ferrannini E, Buzzigoli G, Bonadonna R, Giorico MA, Oleggini M, Graziadei L, Pedrinelli R, Brandi L, Bevilacqua S. Insulin resistance in essential hypertension. N Engl J Med. 1987; 317: 350–357.[Abstract]
20. Ferrannini E, Natali A, Cerri M, Santoro D, Palombo C. Hypertension: a metabolic disorder? Diabete Metab. 1989; 15: 284–291.[Medline] [Order article via Infotrieve]
21. Grundy SM. Metabolic syndrome: connecting and reconciling cardiovascular and diabetes worlds. J Am Coll Cardiol. 2006; 47: 1093–1100.
22. Gastaldelli A, Ferrannini E. Pathogenesis and clinical features of obesity and insulin resistance. Curr Med Chem. 2006; 6: 81–89.
23. Nielsen S, Guo Z, Johnson CM, Hensrud DD, Jensen MD. Splanchnic lipolysis in human obesity. J Clin Invest. 2004; 113: 1582–1588.[CrossRef][Medline] [Order article via Infotrieve]
24. Rabkin SW. Epicardial fat: properties, function and relationship to obesity. Obes Rev. 2007; 8: 253–261.[CrossRef][Medline] [Order article via Infotrieve]
25. Marchington JM, Mattacks CA, Pond CM. Adipose tissue in the mammalian heart and pericardium: structure, foetal development and biochemical properties. Comp Biochem Physiol B. 1989; 94: 225–232.[CrossRef][Medline] [Order article via Infotrieve]
26. Stanley WC, Recchia FA, Lopaschuk GD. Myocardial substrate metabolism in the normal and failing heart. Physiol Rev. 2005; 85: 1093–1129.
27. Zhou YT, Grayburn P, Karim A, Shimabukuro M, Higa M, Baetens D, Orci L, Unger RH. Lipotoxic heart disease in obese rats: implications for human obesity. Proc Natl Acad Sci U S A. 2000; 97: 1784–1789.
28. Wang MY, Unger RH. Role of PP2C in cardiac lipid accumulation in obese rodents and its prevention by troglitazone. Am J Physiol Endocrinol Metab. 2005; 288: E216–221.
29. Iacobellis G, Sharma AM. Epicardial adipose tissue as new cardio-metabolic risk marker and potential therapeutic target in the metabolic syndrome. Curr Pharm Des. 2007; 13: 2180–2184.[CrossRef][Medline] [Order article via Infotrieve]
30. Sacks HS, Fain JN. Human epicardial adipose tissue: a review. Am Heart J. 2007; 153: 907–917.[CrossRef][Medline] [Order article via Infotrieve]
31. Mazurek T, Zhang L, Zalewski A, Mannion JD, Diehl JT, Arafat H, Sarov-Blat L, OBrien S, Keiper EA, Johnson AG, Martin J, Goldstein BJ, Shi Y. Human epicardial adipose tissue is a source of inflammatory mediators. Circulation. 2003; 108: 2460–2466.
32. Baker AR, Silva NF, Quinn DW, Harte AL, Pagano D, Bonser RS, Kumar S, McTernan PG. Human epicardial adipose tissue expresses a pathogenic profile of adipocytokines in patients with cardiovascular disease. Cardiovasc Diabetol. 2006; 5: 1.[CrossRef][Medline] [Order article via Infotrieve]
This article has been cited by other articles:
![]() |
J. Lin, X. Zhu, A. R. Chade, K. L. Jordan, R. Lavi, E. Daghini, M. E. Gibson, A. Guglielmotti, A. Lerman, and L. O. Lerman Monocyte Chemoattractant Proteins Mediate Myocardial Microvascular Dysfunction in Swine Renovascular Hypertension Arterioscler Thromb Vasc Biol, November 1, 2009; 29(11): 1810 - 1816. [Abstract] [Full Text] [PDF] |
||||
![]() |
N Sucunza, M J Barahona, E Resmini, J M Fernandez-Real, J Farrerons, P Lluch, T Puig, A M Wagner, W Ricart, and S M Webb Gender dimorphism in body composition abnormalities in acromegaly: males are more affected than females Eur. J. Endocrinol., December 1, 2008; 159(6): 773 - 779. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Hypertension Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2008 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |