| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Circulation. 2001;104:783.)
© 2001 American Heart Association, Inc.
Clinical Investigation and Reports |
From the Department of Cardiovascular Medicine, Northwick Park and St. Marks Hospital NHS Trust and Institute for Medical Research, Harrow, Middlesex (R.S.K., R.S, A.L.); the Cardiovascular Research Institute, University of Leicester, Leicester Royal Infirmary, Leicester (J.D.S.); and the Department of Medical Statistics and Evaluation, Imperial College School of Medicine, Hammersmith Hospital, London, UK (C.D.).
Correspondence to A. Lahiri. MB, BS, MSc, MRCP, FACC, FESC, Department of Cardiovascular Medicine, Northwick Park Hospital, Watford Road, Harrow, Middlesex, United Kingdom HA1 3UJ. E-mail nphcardiology{at}netscapeonline.co.uk
| Abstract |
|---|
|
|
|---|
Methods and Results A total of 546 subjects aged <60 years and 142 subjects aged
60 years who had undergone baseline pretreatment 24-hour intra-arterial ambulatory blood pressure monitoring were followed for 9.2±4.1 years. Multivariate analysis showed that in younger subjects, 24-hour, daytime, and nighttime DBP, MAP, and SBP, when considered individually, were positively related to morbid events; DBP parameters provided the best predictive values. In the group
60 years (elderly group), 24-hour, daytime, and nighttime PP and SBP were the most predictive parameters, whereas ambulatory DBP and MAP measurements failed to provide any prognostic value. When 24-hour values of SBP and DBP were jointly included in the baseline model, DBP (z=2.02, P=0.04) but not SBP (z=-0.43, P=0.67) was related to outcome in younger subjects, whereas in the elderly group, SBP (z=3.33, P=0.001) was positively and DBP (z=-1.75, P=0.07) was negatively related to outcome. Clinic blood pressure measurements failed to provide any independent prognostic value in either age group.
Conclusions The relative prognostic significance of ambulatory blood pressure components depends on age; DBP parameters provided the best prognostic value in middle-aged individuals, whereas PP parameters were the most predictive in the elderly. This may reflect differing underlying hemodynamic mechanisms of hypertension in these age groups.
Key Words: aging blood pressure prognosis
| Introduction |
|---|
|
|
|---|
In the present analysis of the same hypertensive cohort, we hypothesized that in view of the age-related changes in blood pressure behavior, the relative prognostic significance of ambulatory SBP, DBP, PP, and mean arterial pressure (MAP) parameters in middle-aged versus elderly subjects may differ. Therefore, the aims of this study were to evaluate the age-related changes in 24-hour intra-arterial ambulatory SBP, DBP, MAP, and PP in our purely hypertensive population and to compare the prognostic significance of ambulatory blood pressure parameters in middle-aged versus elderly subjects.
| Methods |
|---|
|
|
|---|
2 untreated readings at separate clinic visits in the 4 weeks before or after the intra-arterial study. Those in whom clinic SBP was
140 mm Hg or DBP was
90 mm Hg were requested to undergo 24-hour intra-arterial ambulatory blood pressure monitoring within 2 months.
Antihypertensive medication had either not been started or had been withdrawn in the 8 weeks preceding intra-arterial blood pressure monitoring. General practitioners were informed of the results of the test, and antihypertensive therapy was generally recommended if 24-hour ambulatory SBP was
140 mm Hg or DBP was
90 mm Hg. The treatment of lower ambulatory blood pressure readings was more conservative and discretionary. Subsequent assessment of blood pressure control and treatment was largely left to the individual physicians and was based on clinic blood pressure measurements in keeping with standard clinical practice.
Intra-Arterial Blood Pressure Monitoring
The technique of intra-arterial blood pressure recording used in this laboratory has been well documented,10 as has the method of analysis.11 Blood pressure was recorded from a fine brachial artery cannula using a specially designed transducer/perfusion unit and an Oxford Medilog Mark I tape recorder. The equipment was designed so that patients were fully ambulant and able to carry out their normal daily activities away from the hospital environment. The 24-hour tape recordings were analyzed on a custom-built hybrid computer using a program that calculated mean hourly blood pressure. Twenty-four hour mean SBP, DBP, MAP, and PP were calculated by averaging the 24-hour mean readings of these parameters. Blood pressure variability was expressed as the SD of mean hourly SBP and DBP, respectively. Daytime mean SBP, DBP, MAP, and PP were defined as the average of the hourly blood pressure readings from 6 AM to 10 PM, and the nighttime mean blood pressures were defined as those between 10 PM and 6 AM.4 The nocturnal falls in SBP and DBP were calculated by subtracting respective nighttime mean from daytime mean blood pressure readings. Nondippers were defined as those who did not exhibit a reduction in mean SBP and DBP by
10% from day to night; the remaining subjects were classified as dippers.4
Follow-Up Evaluation
The study patients have been intermittently reviewed over the years to record clinic blood pressure, drug therapy, and the occurrence of interim cardiovascular events. Ethical approval for the most recent follow-up, performed during an 18-month period from 1994 to 1996, was gained from the hospital ethics committee before contacting patients or their family practitioners. To obtain complete mortality data, the dates and certified causes of interim deaths were obtained from the National Health Service Central Register, Southport, United Kingdom. The hospital records of all patients were also scrutinized. Survivors were invited to attend a follow-up evaluation for documentation of events, clinic blood pressure measurement on current treatment, serum creatinine estimation, and fasting cholesterol level. General practitioners of the nonattenders were sent a questionnaire for details on these patients.
Documented events consisted of noncardiovascular death, coronary death (myocardial infarction or ischemia, ventricular fibrillation, or cardiac failure), cerebrovascular death, peripheral vascular death, nonfatal myocardial infarction, nonfatal stroke, and coronary revascularization.
Statistical Analysis
Continuous variables were expressed as mean±SD and categorical variables as proportions. The study population was dichotomized into those aged <60 years (middle-aged) and those
60 years (elderly), and between-group comparisons of clinical variables and blood pressure parameters were made using the 2-sample t test and Fishers exact test. Within-group comparisons of those with and without events were made by univariate Cox proportional hazards analysis. Multivariate analyses were performed separately in each of the 2 age groups using a baseline Cox regression model containing age, sex (men versus women), race (South Asians versus whites and blacks versus whites), smoking (smokers versus nonsmokers), diabetes mellitus, previous cardiovascular disease, and fasting cholesterol level for predicting the time to experiencing a first event.
Separate regression models were then created by individually adding the clinic and ambulatory blood pressure parameters to the clinical variables to assess whether any of these parameters could enhance the predictive value of the model using the likelihood ratio test. Finally, a series of Kaplan-Meier survival curves were constructed for each group of patients to determine the effects of 24-hour mean SBP, DBP, MAP, and PP cut-off points of 160 mm Hg, 90 mm Hg, 110 mm Hg, and 70 mm Hg, respectively, on event-free survival after correction for clinical variables. In addition, the 24-hour mean SBP curves were adjusted for the effects of 24-hour mean DBP and vice versa; similarly, the 24-hour mean PP and 24-hour mean MAP curves were corrected for mutual effects on survival. P<0.05 was considered significant.
| Results |
|---|
|
|
|---|
Relationship Between Age and Ambulatory Blood Pressure
Figures 1 and 2 show the trends of 24-hour mean SBP, DBP, MAP, and PP in 7 groups divided according to 5-year age strata from <40 years to
65 years. Although SBP and PP generally increased with age, DBP and MAP reached a plateau at 50 to 60 years, with a gradual and more apparent fall in DBP thereafter. As a continuous variable, age was strongly correlated with PP (r=0.51; P<0.001) and SBP (r=0.33; P<0.001), weakly correlated with MAP (r=0.14; P=0.008), and bore no relationship with DBP.
|
|
Comparison of Demographic Characteristics in Patients
As shown in Table 1, the proportions of men, diabetics, and smokers in the elderly and middle-aged groups were similar, but a higher mean total cholesterol level and greater proportions of white subjects and those with previous cardiovascular disease were noted in the elderly group. Within each age group, the proportions of men, smokers, diabetics, and those with a previous history of cardiovascular disease were significantly greater in the subgroups with events than in those without events. Higher mean age and total cholesterol levels were observed in those with events compared with those without events in the younger subjects only.
|
Comparison of Clinic and Ambulatory Blood Pressure Parameters
Clinic SBP, DBP, MAP, and PP levels were higher in those aged
60 years compared with those aged <60 years (Table 2). In the younger group, clinic SBP, DBP, and MAP were higher in those with events than in those without events, but there was no significant difference in clinic PP. However, in the elderly group, none of the clinic blood pressure measurements could distinguish between those with and without events.
|
Consistent with the ambulatory blood pressure trends noted in Figures 1 and 2, the elderly subjects had higher 24-hour mean, daytime mean, and nighttime mean SBP and PP levels but similar MAP and lower DBP levels than those aged <60 years. Within each age group, those with events had higher 24-hour mean, daytime mean, and nighttime mean SBP, PP, and MAP levels than those without events. Whereas in the younger group, 24-hour mean, daytime mean, and nighttime mean DBP were higher in those with events, in the elderly group, there was a trend toward lower DBP levels in those who experienced an event. Although there was a greater proportion of nondippers and lower nocturnal reductions in SBP and DBP in the elderly compared with the younger group, within-group comparisons of those with and without events did not reveal any significant differences in these variables. Moreover, the SDs of mean hourly SBP and DBP were not able to discriminate between age groups or events.
Mulitvariate Analysis
As summarized in Table 3, multivariate analysis in those aged <60 years showed that the addition of ambulatory DBP or MAP parameters, whether 24-hour mean, daytime mean, or nighttime mean, to the baseline model provided the best predictive value. The inclusion of ambulatory SBP values also significantly improved the fit of the model, but PP measurements did not exhibit any predictive value. In the older subjects, ambulatory PP followed by SBP parameters were the most predictive blood pressure variables, whereas DBP or MAP values failed to provide any significant prognostic information. When 24-hour mean values of SBP and DBP were jointly included in the baseline model, DBP (z=2.02, P=0.04) but not SBP (z=-0.43, P=0.67) was related to outcome in younger subjects. However, in the elderly group, SBP (z=3.33, P=0.001) was positively and DBP (z=-1.75, P=0.07) was negatively related to outcome. Notably, neither the measures of blood pressure variability (including hourly standard deviations of blood pressure, nocturnal falls in blood pressure, and nondipper status) nor the clinic blood pressure measurements were able to provide any independent prognostic information in either age group.
|
Kaplan-Meier Survival Curve Analysis
Figures 3 and 4 illustrate the findings of Kaplan-Meier survival curve analysis in the 2 age groups using 24-hour mean SBP, DBP, MAP, and PP cut-off points of 160 mm Hg, 90 mm Hg, 110 mm Hg, and 70 mm Hg, respectively, after adjustment for clinical variables and respective blood pressure variables. The effects of age and PP on event-free survival were additive. Survival rates were highest in those aged <60 years with a PP <70 mm Hg and lowest in those aged
60 years with a PP
70 mm Hg; survival in the other 2 groups was intermediate. In those aged <60 years, survival outcome was similar whether the SBP was above or below 160 mm Hg or DBP above or below 90 mm Hg. However, in the older age group, there was a trend toward reduced survival in those with an SBP
160 mm Hg (compared with those with an SBP <160 mm Hg; hazard ratio, 1.6; 95% CI, 0.9 to 2.9; P=0.11) and in those with a DBP <90 mm Hg (compared with those with a DBP
90 mm Hg; hazard ratio, 1.3; 95% CI, 0.7 to 2.2; P=NS).
|
|
| Discussion |
|---|
|
|
|---|
60 years, ambulatory PP followed by SBP parameters were the best predictors of events, whereas DBP and MAP values failed to provide any additional prognostic information over and above clinical variables.
In this elderly group, the inclusion of both 24-hour mean SBP and DBP in the multivariate model suggested that the direct association of PP with subsequent morbidity and mortality was due to the independent effects of both elevated SBP and reduced DBP. This was further supported by the Kaplan-Meier survival curve analysis showing 24-hour mean values of SBP
160 mm Hg and DBP <90 mm Hg were associated with an adverse outcome in those aged
60 years. These findings suggest that the prognostic significance of ambulatory SBP, DBP, MAP, and PP measurements depend on the age group evaluated. In both age groups, clinic blood pressure measurements and markers of blood pressure variability failed to provide any independent prognostic information in conjunction with clinical variables.
Although an elevated clinic DBP has historically been associated with increased cardiovascular risk, studies from which this relationship was described often consisted of relatively younger subjects in whom systolic and pulsatile components of blood pressure were not adequately appraised.12,13 The emphasis on DBP was subsequently strengthened by a number of therapeutic trials showing the benefits of treating hypertension defined on the basis of an elevated DBP. However, recent studies evaluating the relative prognostic effects of SBP, DBP, MAP, and PP in older age groups have results that are consistent with our findings of a negative association of DBP with subsequent outcome,1417 suggesting that the use of a threshold level of DBP as a criterion for antihypertensive treatment may not be appropriate in the elderly.
Only 4 studies have previously attempted to determine the contribution of the different blood pressure components to cardiovascular risk in different age groups. As early as 1971, data from the Framingham study showed that DBP was the best discriminator of coronary heart disease risk in men younger than 45 years.18 Beyond this age, a trend of declining relative importance of DBP and a corresponding increase in the importance of SBP was noted in both sexes. Recent reanalysis of the Framingham data restricted to those older than 50 years showed that the inclusion of PP with clinical variables provided the best model for the prediction of events.17
Darne et al14 showed that the steady component of blood pressure was a strong risk factor for cardiovascular death in both sexes, but in women older than 55 years, the pulsatile component seemed to predict risk independently of the steady component. However, the number of cardiovascular deaths observed in women was small, raising uncertainty regarding the true significance of this finding. A study conducted by the Veterans Administration showed that when SBP and DBP were considered jointly in a multivariate model containing clinical variables, SBP but not DBP was related to cardiovascular death in men aged <60 years, whereas in older men, SBP was positively and DBP negatively related to outcome, suggesting that PP was the best hemodynamic predictor of outcome in the elderly.19 Benetos et al16 showed that MAP and PP were independent predictors of all-cause, noncardiovascular, total cardiovascular, and coronary mortality in normotensive and hypertensive men older and younger than 55 years.
The prognostic importance of DBP and MAP in middle-aged individuals and SBP and PP in the elderly may be attributed, at least in part, to the interaction between peripheral vascular resistance and arterial stiffness at these different stages of adult life. Peripheral resistance increases with age and, at a given cardiac output, this causes an increase in MAP, DBP, and SBP2022; increased arterial stiffness manifests in the later stages of life and leads to an increase in SBP, a decrease in DBP, and a consequent rise in PP.20,2325 The progressive rise of both SBP and DBP in middle-aged individuals relates to the predominance of increased peripheral resistance, whereas the plateau or fall in DBP, continued rise in SBP, and the increased slope of PP beyond the sixth decade signifies the preponderance of arterial stiffness in the elderly, albeit associated with an increased peripheral resistance.2 Therefore, the importance of DBP as a predictor of events in middle-aged individuals may reflect the dominant role of increased peripheral resistance in determining blood pressure behavior in this age group.
The prognostic significance of PP in the elderly may be assigned mainly to blood pressure changes induced by an increase in arterial stiffness, as implied by the independent contributions of both an elevated SBP and reduced DBP. The elevation in SBP caused by an increase in both peripheral resistance and arterial stiffness leads to a disproportionate increase in end-systolic stress, which in turn increases myocardial oxygen consumption, promotes left ventricular hypertrophy, and can compromise coronary perfusion.26,27 Because perfusion to the coronary circulation occurs predominantly in diastole, a concomitant reduction in DBP due to increased arterial stiffening may further impair myocardial blood flow and promote ischemia, particularly in the presence of existing atherosclerotic disease. Indeed, it has previously been shown that an increase in arterial stiffness accompanied by a decline in DBP is associated with a progression of atherosclerotic disease with advancing age.28
Limitations
The majority of the prognostically important baseline demographic parameters were assessed in this study, but family history of cardiovascular disease was inadequately documented and, hence, not taken into account. Although the much-quoted New Zealand chart for the assessment of cardiovascular risk29 does not include an evaluation of family history, data from the Framingham study suggest that this variable is an independent risk factor for coronary heart disease.30 Therefore, it is possible that an evaluation of family history of cardiovascular disease may have altered the findings of multivariate analysis, but the inclusion of noncardiovascular death as an end point in our study may have dampened its effects. In addition, the limited sample size of our study with dichotomization of patients on the basis of age prohibited further subgroup analysis on the basis of sex or event type.
Finally, the assessment of blood pressure control and the administration of antihypertensive drug therapy did not follow a formalized protocol; they were left entirely to the discretion of the attending physician of the hypertension clinic or the family practitioner. Therefore, it was not possible to evaluate the relationship between achieved blood pressure and event rate. Blood pressure control was based on clinic blood pressure measurements as part of standard clinical practice because it was not considered justifiable on ethical grounds to repeat intra-arterial blood pressure monitoring.
| Acknowledgments |
|---|
Received February 13, 2001; revision received June 4, 2001; accepted June 7, 2001.
| References |
|---|
|
|
|---|
2.
Franklin SS, Gustin WG, Wong ND, et al. Hemodynamic patterns of age-related changes in blood pressure: the Framingham Heart Study. Circulation. 1997; 96: 308315.
3.
Perloff D, Sokolow M, Cowan R. The prognostic value of ambulatory blood pressures. JAMA. 1983; 249: 27922798.
4.
Verdecchia P, Porcellati C, Schillaci C, et al. Ambulatory blood pressure: an independent predictor of prognosis in essential hypertension. Hypertension. 1994; 24: 793801.
5. Ohkubo T, Imai Y, Tsuji I, et al. Prediction of mortality by ambulatory blood pressure monitoring versus screening blood pressure measurements: a pilot study in Ohasama. J Hypertens. 1997; 15: 357364.[Medline] [Order article via Infotrieve]
6.
Redon J, Campos C, Narciso ML, et al. Prognostic value of ambulatory blood pressure monitoring in refractory hypertension- a prospective study. Hypertension. 1998; 31: 712718.
7.
Khattar RS, Swales JD, Dore C, et al. Prediction of coronary and cerebrovascular morbidity and mortality by direct continuous ambulatory blood pressure monitoring in essential hypertension. Circulation. 1999; 100: 10711076.
8. White WB, Lund-Johansen P, Omvik P. Assessment of four ambulatory blood pressure monitors and measurements by clinicians versus intra-arterial blood pressure at rest and during exercise. Am J Cardiol. 1989; 65: 6066.
9. Acharya DU, Heber ME, Dore CJ, et al. Ambulatory intra-arterial blood pressure in essential hyppertension: effects of age, sex, race and body mass: the Northwick Park Hospital Database Study. Am J Hypertens. 1996; 9: 943952.[Medline] [Order article via Infotrieve]
10. Millar-Craig MW, Bishop CN, Raftery EB. Circadian variation of blood pressure. Lancet. 1978; 1: 795797.[Medline] [Order article via Infotrieve]
11. Cashman PM, Stott FD, Millar-Craig MW. Hybrid system for fast data reduction of long-term blood pressure recordings. Med Biol Eng Comput. 1979; 17: 629635.[Medline] [Order article via Infotrieve]
12. Build and Blood Pressure Study. Chicago Ill: Society of Actuaries and Association of Life Insurance Medical Directors of America; 1959.
13.
Breslin DJ, Gifford RW Jr, Fairbairn JF. Essential hypertension: a 20 year follow-up study. Circulation. 1966; 33: 8797.
14.
Darne B, Girerd X, Safar M, et al. Pulsatile versus steady component of blood pressure: a cross-sectional analysis and a prospective analysis on cardiovascular mortality. Hypertension. 1989; 13: 392400.
15.
Madhavan S, Ooi WL, Cohen J, et al. Relation of pulse pressure and blood pressure reduction to the incidence of myocardial infarction. Hypertension. 1994; 23: 395401.
16.
Benetos A, Rudnichi A, Safar M, et al. Pulse pressure and cardiovascular mortality in normotensive and hypertensive subjects Hypertension. 1998; 32: 560564.
17.
Franklin SS, Khan SA, Wong ND, et al. Is pulse pressure useful in predicting risk for coronary heart disease? The Framingham Heart Study. Circulation. 1999; 100: 354360.
18. Kannel WB, Gordon T, Schwartz MJ. Systolic versus diastolic blood pressure and the risk of coronary heart disease. Am J Cardiol. 1971; 27: 335364.[Medline] [Order article via Infotrieve]
19. Lee ML, Rosner BA, Weiss St. Relationship of blood pressure to cardiovascular death: the effects of pulse pressure in the elderly. Ann Epidemiol. 1999; 9: 101107.[Medline] [Order article via Infotrieve]
20. Berne RM, Levy MN. Cardiovascular Physiology. St Louis, Mo: Mosby; 1992; 113144.
21. Nichols WW, Nicolini FA, Pepine CJ. Determinants of isolated systolic hypertension in the elderly. J Hypertens. 1991; 10 (suppl 6): S73S77.
22. Messerli FH, Sundgaard-Risse K, Ventura HO, et al. Essential hypertension in the elderly: haemodynamics, intravascular volume, plasma renin activity and circulating catecholamine levels. Lancet. 1983; 2: 983986.[Medline] [Order article via Infotrieve]
23.
Avolio AP, Chen S, Wang R, et al. Effects of ageing on changing arterial compliance and left ventricular load in a northern Chinese urban community. Circulation. 1983; 68: 5058.
24. Randall OS, van Den Bos GC, Westerhof N. Systemic compliance: does it play a role in the genesis of essential hypertension? Cardiovasc Res. 1984; 18: 455462.[Medline] [Order article via Infotrieve]
25.
McVeigh GE, Bratteli CW, Morgan DJ, et al. Age-related abnormalities in arterial compliance identified by pulse pressure contour analysis: aging and arterial compliance. Hypertension. 1999; 33: 13921398.
26. Watanabe H, Ohtsuka S, Kakihama M, et al. Coronary circulation in dogs with experimental decrease in aortic compliance. J Am Coll Cardiol. 1993; 21: 14971506.[Abstract]
27. Pannier B, Brunel P, El Aroussy W, et al. Pulse pressure and echocardiographic findings in essential hypertension. J Hypertens. 1989; 7: 127129.[Medline] [Order article via Infotrieve]
28. Witteman JC, Grobbee DE, Valkenburg HA, et al. J-shaped relation between change in diastolic blood pressure and progression of aortic atherosclerosis. Lancet. 1994; 343: 504507.[Medline] [Order article via Infotrieve]
29. Core Services Committee. Guidelines for the Management of Mildly Raised Blood Pressure in New Zealand. Wellington, New Zealand: Ministry of Health; 1995.
30. Myers RH, Kiely DK, Cupples A, et al. Parental history is an independent risk factor for coronary artery disease: the Framingham Study. Am Heart J. 1990; 120: 963969.[Medline] [Order article via Infotrieve]
This article has been cited by other articles:
![]() |
S. S. Franklin, V. A. Lopez, N. D. Wong, G. F. Mitchell, M. G. Larson, R. S. Vasan, and D. Levy Single Versus Combined Blood Pressure Components and Risk for Cardiovascular Disease: The Framingham Heart Study Circulation, January 20, 2009; 119(2): 243 - 250. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. L. Burr, E. Dolan, E. W. O'Brien, E. T. O'Brien, and P. McCormack The value of ambulatory blood pressure in older adults: the Dublin outcome study Age Ageing, March 1, 2008; 37(2): 201 - 206. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. H. Fagard, H. Celis, L. Thijs, J. A. Staessen, D. L. Clement, M. L. De Buyzere, and D. A. De Bacquer Daytime and Nighttime Blood Pressure as Predictors of Death and Cause-Specific Cardiovascular Events in Hypertension Hypertension, January 1, 2008; 51(1): 55 - 61. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Inoue, T. Ohkubo, M. Kikuya, H. Metoki, K. Asayama, T. Obara, H. Hoshi, J. Hashimoto, K. Totsune, H. Satoh, et al. Predicting Stroke Using 4 Ambulatory Blood Pressure Monitoring-Derived Blood Pressure Indices: The Ohasama Study Hypertension, November 1, 2006; 48(5): 877 - 882. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. Llamas, C. Lau, W. A. Cupples, M.-L. Rainville, E. Souzeau, and C. F. Deschepper Genetic Determinants of Systolic and Pulse Pressure in an Intercross Between Normotensive Inbred Rats Hypertension, November 1, 2006; 48(5): 921 - 926. [Abstract] [Full Text] [PDF] |
||||
![]() |
K Madin and P Iqbal Twenty four hour ambulatory blood pressure monitoring: a new tool for determining cardiovascular prognosis. Postgrad. Med. J., September 1, 2006; 82(971): 548 - 551. [Abstract] [Full Text] [PDF] |
||||
![]() |
I. Sipahi, E. M. Tuzcu, P. Schoenhagen, K. E. Wolski, S. J. Nicholls, C. Balog, T. D. Crowe, and S. E. Nissen Effects of Normal, Pre-Hypertensive, and Hypertensive Blood Pressure Levels on Progression of Coronary Atherosclerosis J. Am. Coll. Cardiol., August 15, 2006; 48(4): 833 - 838. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Ronnback, B. Isomaa, J. Fagerudd, C. Forsblom, P.-H. Groop, T. Tuomi, L. Groop, and for the Botnia Study Group Complex Relationship Between Blood Pressure and Mortality in Type 2 Diabetic Patients: A Follow-Up of the Botnia Study Hypertension, February 1, 2006; 47(2): 168 - 173. [Abstract] [Full Text] [PDF] |
||||
![]() |
G Tsivgoulis, K Spengos, N Zakopoulos, E Manios, K Xinos, D Vassilopoulos, and K N Vemmos Twenty four hour pulse pressure predicts long term recurrence in acute stroke patients J. Neurol. Neurosurg. Psychiatry, October 1, 2005; 76(10): 1360 - 1365. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. J. Zieman, V. Melenovsky, and D. A. Kass Mechanisms, Pathophysiology, and Therapy of Arterial Stiffness Arterioscler Thromb Vasc Biol, May 1, 2005; 25(5): 932 - 943. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. Fyhrquist, B. Dahlof, R. B. Devereux, S. E. Kjeldsen, S. Julius, G. Beevers, U. de Faire, H. Ibsen, K. Kristianson, O. Lederballe-Pedersen, et al. Pulse Pressure and Effects of Losartan or Atenolol in Patients With Hypertension and Left Ventricular Hypertrophy Hypertension, April 1, 2005; 45(4): 580 - 585. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Ronnback, J. Fagerudd, C. Forsblom, K. Pettersson-Fernholm, A. Reunanen, P.-H. Groop, and on behalf of the Finnish Diabetic Nephropathy Stu Altered Age-Related Blood Pressure Pattern in Type 1 Diabetes Circulation, August 31, 2004; 110(9): 1076 - 1082. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. O'Brien Ambulatory blood pressure monitoring in the management of hypertension Heart, May 1, 2003; 89(5): 571 - 576. [Full Text] [PDF] |
||||
![]() |
R. Rauramaa, R. Kuhanen, T. A. Lakka, S. B. Vaisanen, P. Halonen, M. Alen, T. Rankinen, and C. Bouchard Physical exercise and blood pressure with reference to the angiotensinogen M235T polymorphism Physiol Genomics, August 14, 2002; 10(2): 71 - 77. [Abstract] [Full Text] [PDF] |
||||
![]() |
T.J. Cleophas, I. Grabowsky, M.G. Niemeyer, W.M. Makel, E.E. van der Wall, and on Behalf of the Nebivolol Follow-Up Study Group Paradoxical Pressor Effects of {beta}-Blockers in Standing Elderly Patients With Mild Hypertension: A Beneficial Side Effect Circulation, April 9, 2002; 105(14): 1669 - 1671. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Circulation Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2001 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |