| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Hypertension. 2005;45:499.)
© 2005 American Heart Association, Inc.
Original Articles |
From the Research Center for Prevention and Health (T.W.H.); Medical Department M (J.J., S.R., H.I.), Glostrup University Hospital; and Department of Cardiology (C.T.P., T.W.H.), Bispebjerg University Hospital, Copenhagen, Denmark.
Correspondence to Tine Willum Hansen, Bispebjerg Hospital, Y-forskning bygning 40, Bispebjerg Bakke, 2400 Copenhagen NV, Denmark. E-mail tw{at}heart.dk
| Abstract |
|---|
|
|
|---|
Key Words: blood pressure monitoring epidemiology mortality risk factors
| Introduction |
|---|
|
|
|---|
In 1993 to 1994, we recorded ambulatory BP in a random sample of 1700 men and women from the general Danish population. Survival status was recorded until October 2003, allowing us to study the relationship between ambulatory BP and mortality in a general Western population for the first time. Because the recommendations from recent guidelines on cardiovascular disease prevention in clinical practice9 are based on 10-year risk of fatal cardiovascular disease, the relationship between ambulatory BP and 10-year risk of fatal cardiovascular disease was a matter of special interest in this study.
| Methods |
|---|
|
|
|---|
Criteria of Exclusion
For the present study, 956 subjects were initially excluded (574 because of technical problems or unwillingness to participate in the ambulatory BP monitoring, 240 with too few ambulatory BP readings [<14 readings of systolic and diastolic BP during the day or <7 readings of systolic and diastolic BP during the night]) according to recommendations,12 (13 with nighttime work and 129 with a previous diagnosis of myocardial infarction or stroke or using digoxin or nitrates), leaving 1700 (64%) men and women.
Data Collection
Office BP was measured with a random zero mercury sphygmomanometer with an appropriate cuff size in the sitting position after 5 minutes of rest. The mean of 2 measurements was reported. The ambulatory BP measurement was initiated immediately after recording of office BP using a Takeda TM-2421 (A&D, Tokyo, Japan) device. This device has passed validation tests.13 Oscillometric recordings were used in this study. BP recordings were made every 15 minutes between 7:00 AM and 11:00 PM, and every 30 minutes between 11:00 PM and 7:00 AM. Means of ambulatory BP were computed with weights according to the time interval between successive readings. The discrimination between daytime and nighttime was based on a diary, and when this information was inadequate (n=111) we defined daytime as the interval between 6:00 AM and 12:00 AM and nighttime from 12:00 AM to 6:00 AM.
Insulin, glucose, lipids, body mass index, waist to hip ratio, and subdidivision of the population according to smoking status, low or high level of physical activity, and average daily intake
5 or <5 beverages was determined as described elsewhere.14
End Points
Complete follow-up regarding death was obtained through information from the Civil Registration System. Death certificates were collected and 2 independent investigators blinded to information on BP and other baseline data classified them. Coding decision was based on the underlying cause of death. All deaths were classified as cardiovascular unless a noncardiovascular cause was clearly described. The predefined endpoints for this study were all-cause mortality and cardiovascular mortality.
Statistical Analysis
All analyses were performed with the Statistical Analysis System (SAS), version 8.2. Survival was analyzed with Cox proportional hazard models. To identify variables listed in Table 1 that were significantly related to all-cause and cardiovascular mortality, all the variables were entered in Cox proportional hazard models with forward and backward selection. Both approaches gave the same results. The variables selected were then entered in our final Cox proportional hazard models that always included at least 1 BP variable. The assumption of linearity and the proportional hazard assumption were tested. Interaction was tested with a likelihood ratio test. Finally, we calculated the absolute risk of all cause and cardiovascular mortality in subgroups stratified by other variables of interest using Cox proportional hazard models. All statistical tests were 2-sided and the significance level was chosen as P<0.05.
|
| Results |
|---|
|
|
|---|
Follow-Up and Mortality
The mean study durationfrom baseline evaluation until October 1, 2003was 9.5 years (SD, 0.41 years). A total of 174 participants died; 63 (36%) were classified as cardiovascular deaths: 18 (29%) as acute myocardial infarction, 13 (21%) as stroke, 4 (6%) as ischemic heart disease, 7 (11%) as other specified cardiovascular disease, and 21 (33%) as unspecified cardiovascular disease. A total of 5 death certificates were missing. The typical examples of unspecified cardiovascular death were sudden or unexpected death without autopsy. Of the 111 noncardiovascular deaths, 72 (65%) died of cancer.
BP and Risk
To study the overall relationship between ambulatory BP and mortality, we first examined the population divided into quintiles of BP for those who died (all-cause or cardiovascular). Figure 1 shows the univariate and multivariate hazard ratios for the overall relationship between ambulatory BP and mortality. The relationships were log-linear with no indication of a threshold.
|
The relationship between the various BPs and all-cause mortality are shown in Table 2. Of the variables listed in Table 1, only age, smoking, alcohol consumption, and physical activity were significantly related to all-cause mortality and thus entered with the various BPs in our final multivariate models. In these models, all the ambulatory BPs were significant predictors of all-cause mortality, whereas neither systolic nor diastolic office BP were significant predictors of all-cause mortality.
|
Table 3 shows the relationship between the various BPs and cardiovascular mortality. Of the variables listed in Table 1, only age and smoking were significantly related to cardiovascular mortality and thus entered with the various BPs in our final multivariate models. Considered separately, all BPs were significant predictors of cardiovascular mortality.
|
Notably, sex, total/high-density lipoprotein cholesterol ratio, and diabetes were not significant predictors of all-cause or cardiovascular mortality in this population along with ambulatory BP. Sex was a significant predictor for all-cause mortality and cardiovascular mortality if ambulatory BP was replaced with office BP.
As seen in Tables 2 and 3
, the predictive value of daytime and nighttime BP was nearly identical and when they were both entered in models they had similar importance.
When systolic ambulatory BP and systolic office BP were entered in the same multivariate model, only systolic ambulatory BP was a significant predictor of all-cause mortality (P=0.001) and cardiovascular mortality (P=0.0003), whereas systolic office BP was not a significant predictor of all-cause mortality (P=0.23) or cardiovascular mortality (P=0.96). When entering diastolic ambulatory BP and diastolic office BP in the same model, a similar result was found, and only diastolic ambulatory BP was a significant predictor of all-cause mortality (P<0.0001) and cardiovascular mortality (P<0.0001), whereas diastolic office BP was not a significant predictor of all-cause mortality (P=0.17) or cardiovascular mortality (P=0.49).
When systolic ambulatory BP and diastolic ambulatory BP were entered in the same multivariate model, the results showed that only diastolic ambulatory BP was a significant predictor of all-cause mortality (P=0.009) and cardiovascular mortality (P=0.007), whereas systolic ambulatory BP did not give significant additional information about all-cause mortality (P=0.97) or about cardiovascular mortality (P=0.28). When both systolic office BP and diastolic office BP were entered in the same multivariate model, neither of the BPs were significant predictors of all-cause (P=0.82/0.20 [systolic/diastolic]) and cardiovascular mortality (P=0.19/0.21 [systolic/diastolic]).
Figure 2 shows the calculated 10-year absolute risk of all cause and cardiovascular mortality according to diastolic ambulatory BP and systolic ambulatory BP stratified by smoking status and age, the only other variables that were significant predictors of cardiovascular mortality. Diastolic BP is shown in the interval between 60 and 90 mm Hg and systolic BP in the interval between 110 and 155 mm Hg corresponding to the 5th and 95th percentiles of the respective BPs. The absolute risk related to ambulatory BP was strongly dependent on smoking status and age.
|
Additional Analysis
We repeated all analyses: (1) excluding the 160 participants using antihypertensive medication; (2) including the participants with too few observations of ambulatory BP or with nighttime work; (3) defining daytime between 10:00 AM and 8:00 PM and nighttime between 12:00 AM and 6:00 AM in subjects with inadequate information in the diary about sleeping time; (4) including all risk factors listed in Table 1 in one multivariate model; and (5) including participants with previous cardiovascular complications. The results of these analyses were basically identical to the results of our main analyses (data not shown). Finally, we examined the relationship between BP and cancer mortality, and no BPs were significant predictors of cancer mortality (data not shown)
| Discussion |
|---|
|
|
|---|
A major issue in hypertensive research is whether the relationships between both systolic and diastolic BP and risk of mortality are log-linearly increasing, or whether there is a threshold in this relation.15 Only 1 other large study has examined the relationship between ambulatory BP and mortality in a general population: the Ohasama study.16 In this study, there was a U-shaped relationship between ambulatory BP and cardiovascular mortality. The reason for this discrepancy between the Ohasama study and our study may rely on inclusion criteria. In the Ohasama study, subjects with cardiovascular diseases were included, whereas in our study subjects with major cardiovascular disease were excluded. Thus, in a relatively healthy population no threshold could be identified between risk of all-cause and cardiovascular mortality and ambulatory BP.
In the Ohasama study,7 systolic ambulatory BP was a significant predictor of cardiovascular mortality in a multivariate model including systolic office BP, whereas systolic office BP was not. This finding was confirmed in our study.
In this study, using the Cox proportional hazard models with systolic BP and diastolic BP entered in the same model, diastolic ambulatory BP provided more information on risk of all-cause and cardiovascular mortality than systolic ambulatory BP, whereas systolic and diastolic office BP failed to provide any independent information on risk of all-cause and cardiovascular mortality when entered in the same model. In the present study, diastolic ambulatory BP was positively related to risk of all-cause and cardiovascular mortality in all age groups, including the elderly, as seen in Figure 2. This was also the case for diastolic office BP (data not shown). These findings are in contrast with findings from the Framingham Heart Study, in which office diastolic BP was found to be negatively related to cardiovascular disease risk in the elderly.17 We have no obvious explanation for this discrepancy, but it should be noted that also in the Chicago Heart Association Study office diastolic BP was positively related to risk of all-cause and cardiovascular mortality.18
Study Limitations
A total of 574 subjects had to be excluded because of technical problems or unwillingness to participate in the ambulatory BP recordings. This highlights an inherent limitation with ambulatory BP recordings. Nevertheless, this group of subjects did not differ significantly from the included group with respect to mortality; therefore, we believe that our results can be generalized.
Clinical Significance
Our findings may have important clinical implications and point to an opportunity to refine risk stratification strategies. This study showed that ambulatory BP was a better predictor of risk of all-cause and cardiovascular mortality compared with office BP. A clinical relevant example of how much better ambulatory BP was to predict risk compared with office BP is demonstrated in Figure 3. This Figure shows the 10-year calculated absolute risk of cardiovascular mortality for a 60-year-old person based on ambulatory BP and office BP adjusted for smoking status. It is seen that the slope describing the relationship between BP and risk was much steeper for ambulatory BP, and that ambulatory BP overall could identify subjects with a 10-year absolute risk of cardiovascular mortality as high as 10%, whereas office BP overall only could identify subjects with an absolute risk of
6%. It is also seen that subjects with low ambulatory BPs had an overall low risk of cardiovascular mortality.
|
What is an "acceptable" BP? The present study is the first to our knowledge to evaluate the prognostic value of ambulatory BP in a general Western population, and the conclusion seems to be that in general, it is not meaningful to evaluate only the level of BP, as illustrated in Figure 2. The curves in this Figure were calculated using Cox proportional hazard model and reflect the relative importance of significant risk factors. A given BP needs to be assessed in context with the overall risk profile. For example, in a 41-year-old person, the absolute 10-year risk of all-cause and cardiovascular mortality was low over the whole range of diastolic ambulatory BP and systolic ambulatory BP, regardless of smoking status. In contrast, for a 71-year-old smoker, the absolute risk of 10-year cardiovascular mortality increased from 17% to 30% when the diastolic ambulatory BP increased from 70 mm Hg to 80 mm Hg.
Perspectives
Our study points out that ambulatory BP provided prognostic information about mortality above and beyond that of office BP in a general population. In addition, this study shows that there is a continuous graded relationship between ambulatory BP and risk of mortality without a well-defined lower limit, but also that it is not meaningful to talk about a general upper acceptable ambulatory BP limit without considering the presence of other risk factors.
| Acknowledgments |
|---|
Received December 15, 2004; first decision December 30, 2004; accepted February 3, 2005.
| 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: 12061252.
3. Zanchetti A, Cifkova R, Fagard R, Kjeldsen S, Mancia G, Poulter N, Rahn KH, Rodicio JL, Ruilope LM, Staessen J, van Zwieten P, Waeber B, Williams B. 2003 European Society of Hypertension-European Society of Cardiology guidelines for the management of arterial hypertension. J Hypertens. 2003; 21: 10111053.[CrossRef][Medline] [Order article via Infotrieve]
4. Verdecchia P, Porcellati C, Schillaci G, Borgioni C, Ciucci A, Battistelli M, Guerrieri M, Gatteschi C, Zampi I, Santucci A. Ambulatory blood pressure. An independent predictor of prognosis in essential hypertension. Hypertension. 1994; 24: 793801.
5. Staessen JA, Thijs L, Fagard R, OBrien ET, Clement D, de Leeuw PW, Mancia G, Nachev C, Palatini P, Parati G, Tuomilehto J, Webster J. Predicting cardiovascular risk using conventional vs ambulatory blood pressure in older patients with systolic hypertension. Systolic Hypertension in Europe Trial Investigators. JAMA. 1999; 282: 539546.
6. Clement DL, De Buyzere ML, De Bacquer DA, de Leeuw PW, Duprez DA, Fagard RH, Gheeraert PJ, Missault LH, Braun JJ, Six RO, Van Der Niepen P, OBrien E. Prognostic value of ambulatory blood-pressure recordings in patients with treated hypertension. N Engl J Med. 2003; 348: 24072415.
7. Ohkubo T, Imai Y, Tsuji I, Nagai K, Watanabe N, Minami N, Itoh O, Bando T, Sakuma M, Fukao A, Satoh H, Hisamichi S, Abe K. Prediction of mortality by ambulatory blood pressure monitoring versus screening blood pressure measurements: a pilot study in Ohasama. J Hypertens. 1997; 15: 357364.[CrossRef][Medline] [Order article via Infotrieve]
8. Ohkubo T, Hozawa A, Nagai K, Kikuya M, Tsuji I, Ito S, Satoh H, Hisamichi S, Imai Y. Prediction of stroke by ambulatory blood pressure monitoring versus screening blood pressure measurements in a general population: the Ohasama study. J Hypertens. 2000; 18: 847854.[CrossRef][Medline] [Order article via Infotrieve]
9. De Backer G, Ambrosioni E, Borch-Johnsen K, Brotons C, Cifkova R, Dallongeville J, Ebrahim S, Faergeman O, Graham I, Mancia G, Manger Cats V, Orth-Gomer K, Perk J, Pyorala K, Rodicio JL, Sans S, Sansoy V, Sechtem U, Silber S, Thomsen T, Wood D. European guidelines on cardiovascular disease prevention in clinical practice. Third Joint Task Force of European and Other Societies on Cardiovascular Disease Prevention in Clinical Practice. Eur Heart J. 2003; 24: 16011610.
10. Tunstall-Pedoe H, Kuulasmaa K, Mahonen M, Tolonen H, Ruokokoski E, Amouyel P. Contribution of trends in survival and coronary-event rates to changes in coronary heart disease mortality: 10-year results from 37 WHO MONICA project populations. Monitoring trends and determinants in cardiovascular disease. Lancet. 1999; 353: 15471557.[CrossRef][Medline] [Order article via Infotrieve]
11. Rasmussen SL, Torp-Pedersen C, Borch-Johnsen K, Ibsen H. Normal values for ambulatory blood pressure and differences between casual blood pressure and ambulatory blood pressure: results from a Danish population survey. J Hypertens. 1998; 16: 14151424.[CrossRef][Medline] [Order article via Infotrieve]
12. OBrien E, Asmar R, Beilin L, Imai Y, Mallion JM, Mancia G, Mengden T, Myers M, Padfield P, Palatini P, Parati G, Pickering T, Redon J, Staessen J, Stergiou G, Verdecchia P. European Society of Hypertension recommendations for conventional, ambulatory and home blood pressure measurement. J Hypertens. 2003; 21: 821848.[CrossRef][Medline] [Order article via Infotrieve]
13. OBrien E, Waeber B, Parati G, Staessen J, Myers MG. Blood pressure measuring devices: recommendations of the European Society of Hypertension. BMJ. 2001; 322: 531536.
14. Hansen TW, Jeppesen J, Rasmussen S, Ibsen H, Torp-Pedersen C. Relation between insulin and aortic stiffness: a population-based study. J Hum Hypertens. 2004; 18: 17.[CrossRef][Medline] [Order article via Infotrieve]
15. Port S, Demer L, Jennrich R, Walter D, Garfinkel A. Systolic blood pressure and mortality. Lancet. 2000; 355: 175180.[CrossRef][Medline] [Order article via Infotrieve]
16. Ohkubo T, Imai Y, Tsuji I, Nagai K, Ito S, Satoh H, Hisamichi S. Reference values for 24-hour ambulatory blood pressure monitoring based on a prognostic criterion: the Ohasama Study. Hypertension. 1998; 32: 255259.
17. Franklin SS, Larson MG, Khan SA, Wong ND, Leip EP, Kannel WB, Levy D. Does the relation of blood pressure to coronary heart disease risk change with aging? The Framingham Heart Study. Circulation. 2001; 103: 12451249.
18. Miura K, Dyer AR, Greenland P, Daviglus ML, Hill M, Liu K, Garside DB, Stamler J. Pulse pressure compared with other blood pressure indexes in the prediction of 25-year cardiovascular and all-cause mortality rates: The Chicago Heart Association Detection Project in Industry Study. Hypertension. 2001; 38: 232237.
Related Article:
Hypertension 2005 45: 483-484.
This article has been cited by other articles:
![]() |
F. H. Messerli and H. Makani Relentless Progression Toward Sustained Hypertension Hypertension, August 1, 2009; 54(2): 217 - 218. [Full Text] [PDF] |
||||
![]() |
P. Verdecchia, F. Angeli, G. Mazzotta, G. Gentile, and G. Reboldi Home Blood Pressure Measurements Will Not Replace 24-Hour Ambulatory Blood Pressure Monitoring Hypertension, August 1, 2009; 54(2): 188 - 195. [Full Text] [PDF] |
||||
![]() |
A. Adiyaman, D. G. Dechering, J. Boggia, Y. Li, T. W. Hansen, M. Kikuya, K. Bjorklund-Bodegard, T. Richart, L. Thijs, C. Torp-Pedersen, et al. Determinants of the Ambulatory Arterial Stiffness Index in 7604 Subjects From 6 Populations Hypertension, December 1, 2008; 52(6): 1038 - 1044. [Abstract] [Full Text] [PDF] |
||||
![]() |
G. F. Salles, C. R. L. Cardoso, and E. S. Muxfeldt Prognostic Influence of Office and Ambulatory Blood Pressures in Resistant Hypertension Arch Intern Med, November 24, 2008; 168(21): 2340 - 2346. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. W. Hansen, L. Thijs, J. Boggia, Y. Li, M. Kikuya, K. Bjorklund-Bodegard, T. Richart, T. Ohkubo, J. Jeppesen, C. Torp-Pedersen, et al. Prognostic Value of Ambulatory Heart Rate Revisited in 6928 Subjects From 6 Populations Hypertension, August 1, 2008; 52(2): 229 - 235. [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] |
||||
![]() |
E. S. Ommen, B. Schroppel, J.-Y. Kim, G. Gaspard, E. Akalin, G. de Boccardo, V. Sehgal, M. Lipkowitz, and B. Murphy Routine Use of Ambulatory Blood Pressure Monitoring in Potential Living Kidney Donors Clin. J. Am. Soc. Nephrol., September 1, 2007; 2(5): 1030 - 1036. [Abstract] [Full Text] [PDF] |
||||
![]() |
Authors/Task Force Members:, G. Mancia, G. De Backer, A. Dominiczak, R. Cifkova, R. Fagard, G. Germano, G. Grassi, A. M. Heagerty, S. E. Kjeldsen, et al. 2007 Guidelines for the Management of Arterial Hypertension: The Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC) Eur. Heart J., June 11, 2007; (2007) ehm236v1. [Full Text] [PDF] |
||||
![]() |
I. Z. Ben-Dov, J. D. Kark, D. Ben-Ishay, J. Mekler, L. Ben-Arie, and M. Bursztyn Predictors of All-Cause Mortality in Clinical Ambulatory Monitoring: Unique Aspects of Blood Pressure During Sleep Hypertension, June 1, 2007; 49(6): 1235 - 1241. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. B. Leitao, L. H. Canani, C. K. Kramer, J. C. Boza, A. F. Pinotti, and J. L. Gross Masked Hypertension, Urinary Albumin Excretion Rate, and Echocardiographic Parameters in Putatively Normotensive Type 2 Diabetic Patients Diabetes Care, May 1, 2007; 30(5): 1255 - 1260. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Kikuya, J. A. Staessen, T. Ohkubo, L. Thijs, H. Metoki, K. Asayama, T. Obara, R. Inoue, Y. Li, E. Dolan, et al. Ambulatory Arterial Stiffness Index and 24-Hour Ambulatory Pulse Pressure as Predictors of Mortality in Ohasama, Japan Stroke, April 1, 2007; 38(4): 1161 - 1166. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. P. Patel, S. L. Goldstein, J. D. Mahan, B. Smith, C. B. Fried, H. Currier, and J. T. Flynn A Standard, Noninvasive Monitoring of Hematocrit Algorithm Improves Blood Pressure Control in Pediatric Hemodialysis Patients Clin. J. Am. Soc. Nephrol., March 1, 2007; 2(2): 252 - 257. [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] |
||||
![]() |
W. Palmas, A. Moran, T. Pickering, J. P. Eimicke, J. Teresi, J. E. Schwartz, L. Field, R. S. Weinstock, and S. Shea Ambulatory Pulse Pressure and Progression of Urinary Albumin Excretion in Older Patients With Type 2 Diabetes Mellitus Hypertension, August 1, 2006; 48(2): 301 - 308. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Verdecchia, F. Angeli, and J. A. Staessen Compared With Whom?: Addressing the Prognostic Value of Ambulatory Blood Pressure Categories Hypertension, May 1, 2006; 47(5): 820 - 821. [Full Text] [PDF] |
||||
![]() |
M. E. Ernst, B. L. Carter, C. J. Goerdt, J. J.G. Steffensmeier, B. B. Phillips, M. B. Zimmerman, and G. R. Bergus Comparative Antihypertensive Effects of Hydrochlorothiazide and Chlorthalidone on Ambulatory and Office Blood Pressure Hypertension, March 1, 2006; 47(3): 352 - 358. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Bell Problems With Blood Pressure Terminology Hypertension, February 1, 2006; 47(2): e2 - e2. [Full Text] [PDF] |
||||
![]() |
N. M. Kaplan Treatment of Hypertension: Remaining Issues After the Anglo-Scandinavian Cardiac Outcomes Trial Hypertension, January 1, 2006; 47(1): 10 - 13. [Full Text] [PDF] |
||||
![]() |
L. R. Krakoff Cost-Effectiveness of Ambulatory Blood Pressure: A Reanalysis Hypertension, January 1, 2006; 47(1): 29 - 34. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. W. Hansen, J. Jeppesen, H. Ibsen, E. Dolan, E. T. O'Brien, J. A. Staessen, T. Ohkubo, Y. Imai, R. Sega, R. Facchetti, et al. Letter Regarding Article by Sega et al, "Prognostic Value of Ambulatory and Home Blood Pressures Compared With Office Blood Pressure in the General Population" * Response Circulation, September 27, 2005; 112(13): e244 - e246. [Full Text] [PDF] |
||||
![]() |
F. H. Messerli and D. Cotiga Masked Hypertension and White-Coat Hypertension: Therapeutic Navigation Between Scylla and Charybdis J. Am. Coll. Cardiol., August 2, 2005; 46(3): 516 - 517. [Full Text] [PDF] |
||||
![]() |
P. Verdecchia and F. Angeli How Can We Use the Results of Ambulatory Blood Pressure Monitoring in Clinical Practice? Hypertension, July 1, 2005; 46(1): 25 - 26. [Full Text] [PDF] |
||||
![]() |
M. G. Myers Ambulatory Blood Pressure Monitoring for Routine Clinical Practice Hypertension, April 1, 2005; 45(4): 483 - 484. [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Hypertension Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2005 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |