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. 2013 Oct 25;15(6):559–574. doi: 10.1007/s11906-013-0401-0

Blood Pressure Control and Primary Prevention of Stroke: Summary of the Recent Clinical Trial Data and Meta-Analyses

Zbigniew Gaciong 1,, Maciej Siński 1, Jacek Lewandowski 1
PMCID: PMC3838588  PMID: 24158454

Abstract

Stroke is the second most common cause of death worldwide and of adult disability, but in the near future the global burden of cerebrovascular diseases will rise due to ageing and adverse lifestyle changes in populations worldwide. The risk of stroke increases at blood pressure levels above 115/75 mm Hg and high blood pressure (BP) is the most important modifiable risk factor for stroke, associated with 54 % episodes of stroke worldwide. There is strong evidence from clinical trials that antihypertensive therapy reduces substantially the risk of any type of stroke, as well as stroke-related death and disability. The risk attributed to BP is associated not only with absolute values but also with certain parameters describing BP diurnal pattern as well as short-term and long-term variability. Many studies reported that certain features of BP like nocturnal hypertension, morning surge or increased variability predict an increased stroke risk. However, there is no accepted effective modality for correction of these disturbances (chronotherapy, certain classes of antihypertensive drugs). In the elderly, who are mostly affected by stroke, the primary prevention guidelines recommend treatment with diuretics and calcium channel blockers to lower blood pressure to the standard level.

Keywords: Stroke; Risk, risk factors; Blood, blood pressure; Ambulatory, ambulatory blood pressure measurement; Circadian, circadian rhythm; Non, non-dipping; Morning, morning surge; Blood, blood pressure variability; Antihypertensive, antihypertensive treatment; Randomized, randomized clinical trial; Meta, meta-analysis; Hypertension

Introduction

For last three decades, stroke remains the second most common cause of mortality [1] and recently has become the third leading cause of global disease burden estimated using disability-adjusted life years [2]. In developed countries, despite decreased incidence of stroke, paradoxically the absolute number of stroke victims still raises because of rapid ageing of population and tight correlation of stroke risk with age [3]. These trends are accompanied by a decline of the mean age of stroke victims, which is now 69 years [4]. On the contrary, in low income and middle income countries the incidence of stroke is growing and nowadays two-thirds of all individuals that have suffered from a stroke live in developing countries where stroke is the second cause of disabilities. Due to these trends in global health, cerebrovascular disease is predicted to remain the second leading cause of mortality, reaching almost eight million annual deaths by 2030 [5] .

Blood Pressure and the Risk of Stroke

The relationship between hypertension and stroke was first described by Frederick Akbar Mohamad - a physician of mixed Indian and Irish origin working in Guy’s Hospital in London in the 19th century. He constructed a quantitative sphygmograph to estimate the level of blood pressure and described a natural history of essential hypertension, including initial asymptomatic stage, subclinical lesions (left ventricular hypertrophy) and finally, clinical complications, including cerebrovascular accidents like transient ischemic attacks (“a passing paralysis”) or stroke (“severe apopleptic seizure”) [6].

In the 20th century, major risk factors for stroke were identified and their relative impact estimated. Globally, 51 % of stroke deaths are attributable to high systolic BP and local rates of incidence of stroke are correlated with the prevalence of hypertension. Hypertension is the major modifiable factor and the second most powerful risk factor after age, regardless of geographic location and ethnic background. Blood pressure is a major determinant of both ischemic and hemorrhagic stroke (intracerebral and subarachnoid) and correlates with the risk of the first as well as recurrent episodes of cerebrovascular incidents.

Components of Blood Pressure and the Risk of Stroke

The Framingham Heart Study is the longest-running, prospective epidemiologic project, initiated in 1948 to identify potential and reversible causes of cardiovascular diseases. Although originally the study was designed to analyze causes of coronary heart disease in men younger than 60 years, after six decades of research it provided valuable information on the effects of different factors on the risk of stroke and cognitive dysfunction.

Results of the first cohort of subjects showed that hypertensive patients (with BP > 160/95 mm Hg) had the incidence of stroke five to more than 30 times higher as compared to normotensive persons (<140/90 mm Hg) depending on age and gender. The increased risk was also noted in so-called “borderline hypertensives”. Using data [7] from subjects aged 55-84 years and free of cerebrovascular disease at the time of data collection, probability of stroke was calculated. The Framingham stroke prediction algorithm (http://www.framinghamheartstudy.org/risk/stroke.html) included SBP values and age, diabetes mellitus, smoking, history of cardiovascular disease, presence of atrial fibrillation, left ventricular hypertrophy and the use of hypertensive medication.

Initial observations from the Framingham study found casual SBP as good as a predictor of stroke as various components of BP, including diastolic and mean arterial pressure, pulse pressure, as well as lability of pressure [8].

Individual data of 958,074 subjects participating in 61 separate prospective studies without known cardiovascular disease at the baseline were used in the meta-analysis [9] to calculate correlation between BP and mortality from stroke. This is the largest meta-analysis ever published, which was preceded by earlier studies by the same group of authors including smaller groups of subjects [10, 11]. The results of Prospective Study Collaboration show that in patients between 40-89 years of age, BP is strongly and directly associated with total vascular and stroke mortality. Each difference of 20 mm Hg of systolic and 10 mm of diastolic Hg was associated with doubling the risk of stroke death. This correlation was continuous without any evidence of a threshold down to at least 115/75 mm Hg. For stroke mortality, average BP was a slightly better predictor than any components of BP, and systolic BP was more informative than diastolic BP or pulse pressure (SBP-DBP difference). The pattern of correlation between BP and stroke mortality was similar in males and females, any type of stroke and geographical regions.

Results of the meta-analysis by the Prospective Study Collaboration are contradictory to some previous findings, which identified a widened pulse pressure as an independent marker of cardiovascular risk, including stroke [12]. For example, analysis of data from the elderly with isolated systolic hypertension from SHEP (Systolic Hypertension in the Elderly Program) study demonstrated an 11 % increase in stroke risk and a 16 % increase in risk of all-cause mortality for each 10-mm Hg increase in pulse pressure [13]. Since widened pulse pressure results from increased conduit vessel stiffness, this association may indicate more advanced lesions in arteries and other target organs. These findings were confirmed by meta-analysis of three trials including systolic hypertension in the elderly (European Working Party on High Blood Pressure in the Elderly, Systolic Hypertension in Europe Trial (Syst-Eur), and Systolic Hypertension in China Trial (Syst-China) [14].

Similarly, in a Finnish study of 4,333 men and 5,270 women aged 45-64 years with no history of vascular disease, the risk of coronary heart disease, stroke, cardiovascular disease and all-cause mortality increased with the increasing pulse pressure during 15 years of follow up, independent of the DBP level. However, after adjustment for systolic blood pressure, the positive association between mortality and increasing pulse pressure disappeared [15].

Results of some studies suggest that an ethnic background may modify the impact of BP on stroke risk. The Reason for Geographic And Racial Differences in Stroke (REGARDS) study included 30,239 black and white individuals over 45 years of age, who were observed for at least 4.5 years. Among white participants, a difference in SBP of 10 mm Hg was associated with an 8 % increase in stroke risk; among black participants, a 10-mm Hg difference was associated with a 24 % increase. The black-white disparity was higher in younger individuals and at a higher SBP level. The results of the REGARDS study suggest that blacks are more susceptible to stroke but the difference may be also attributed to higher prevalence and poorer control of high BP in Afro-Americans [16].

In eastern Asian countries, stroke was a leading cause of death with a greater incidence, higher mortality and greater proportion of hemorrhagic stroke as compared to Western Europe and North America. The Eastern Stroke and Coronary Heart Disease Collaboration Project aimed to study associations of diastolic BP and cholesterol level with the cardiovascular risk in populations in China and Japan. Using data from 124,774 participants the authors suggested a stronger impact of DBP on stroke risk than in Western countries [11] . However, they have not confirmed their own data in the following Prospective Study Collaboration using global registry (see above).

The majority of studies included in the Prospective Study Collaboration meta-analysis recorded only stroke-related mortality, not incidence; also, type of stroke was not identified in about half of the cases. The INTERSTROKE study evaluated risk factors for first-time acute stroke in 22 countries in order to determine major modifiable risk factors [17••]. The data on 3,000 strokes (78 % ischemic) were collected and compared with 3,000 matched control cases. Type of stroke was diagnosed using neuroimaging and hypertension and was defined either as self-reported or when BP higher than 160/90 was measured during examination. Five risk factors were identified that contributed to 80 % of stroke risk: hypertension, smoking status, waist-to-hip ratio, diet and physical activity. Hypertension was diagnosed in 55 % and 83 % of patients with ischemic and hemorrhagic stroke, respectively, while among controls there were 37 % subjects with high BP. Five other risk factors accounted for an additional 10 % of stroke risk: diabetes mellitus, alcohol use, psychosocial factors , cardiac causes and ratio of apolipoprotein B to apolipoprotein A1. Some other factor, not analyzed in the INTERSTROKE study, may affect the risk of cerebrovascular risk. For example, hypertensive patients with a first-ever episode of stroke had a larger left atrial size and left ventricular mass index [18].

The results of the INTERSTROKE study showed that hypertension was the strongest risk factor for all types of stroke, with the greater risk for intracerebral haemorrhagic stroke than for ischaemic stroke. The impact of hypertension was greater in individuals younger than 45 years than in those aged 45 years or older.

Office and Ambulatory Measurements and the Risk of Stroke

Due to multiple readings, ambulatory blood pressure monitoring (ABPM) offers better accuracy of assessment of a subject’s BP with higher sensitivity and specificity for diagnosis of hypertension than office-based BP measurements [19]. A number of studies have suggested that the risk of target-organ damage and cardiovascular complications correlates more closely with 24-hour, daytime, or nighttime ABPM than with the office pressure [20]. Moreover, only ABPM allows for detection of abnormalities in circadian rhythm of BP like white-coat or masked hypertension, non-dipping or extreme dipping and morning surge. Results of ABPM readings can be used to calculate variables, like the ambulatory arterial stiffness index that can better estimate target organ lesions and cardiovascular risk [21].

However, prospective studies using ABPM for cardiovascular risk assessment included relatively small groups with a limited number of outcome events, frequently stroke episodes were not reported separately [22]. Conen and Bamberg made a meta-analysis which included 9,299 participants with 11.1 years of follow up [23] and 881 cardiovascular events. They found a consistent association between mean 24-h systolic BP and cardiovascular mortality and morbidity, even after adjustment for office BP. ABPM was a stronger predictor of stroke than other cardiovascular events, such as cardiovascular and total mortality. For each 10 mm Hg increase of 24-h SBP , there was a hazard ratio (95 % confidence interval) of 1.33 (1.22-1.44) for stroke, 1.19 (1.13-1.26) for cardiovascular mortality, 1.12 (1.07-1.17) for total mortality and 1.17 (1.09-1.25) for cardiac endpoints.

In their meta-analysis , daytime and nighttime BP have a similar ability to predict cardiovascular events, including stroke; however, higher nighttime BP was associated with increased total mortality as well as cardiovascular mortality. The results of their meta-analysis are confirmed by recent data from the IDACO study (International database on Ambulatory blood pressure in relation Cardiovascular Outcomes) which shows that 24-h systolic BP was a stronger predictor of stroke than cardiac events and cardiovascular mortality [24].

Unfortunately, there are limited data on 24-h DBP; therefore, the effect of diastolic values on the risk of stroke and other cardiovascular complications cannot be estimated. The Dublin Outcome Study included 5,292 untreated hypertensive patients who had clinic and ambulatory blood pressure measurement at baseline, and they were followed for a median period of 8.4 years [25]. With adjustment for gender, age, body mass index, smoking status, diabetes, history of cardiovascular events and clinic BP, higher mean values of ambulatory blood pressure were independent predictors for cardiovascular mortality. The relative hazard ratio for each 10-mm Hg increase in systolic blood pressure was 1.12 (1.06 to 1.18; p = 0.001) for daytime and 1.21 (1.15 to 1.27; p = 0.001) for nighttime systolic blood pressure. The hazard ratios for each 5-mm Hg increase in diastolic blood pressure were 1.02 (0.99 to 1.07; p = NS) for daytime and 1.09 (1.04 to 1.13; p = 0.01) for nighttime diastolic pressures. Nighttime ABPM provided additional predictive information over daytime ABPM, as does ABPM SBP over ABPM DBP, for total, cardiovascular, stroke, and cardiac mortality.

In most of these studies, ABPM was recorded in initially untreated subjects or during a placebo run-in phase. The Office versus Ambulatory Blood Pressure (OvA) Study included 1,963 patients without history of cardiovascular incident who were followed for a median of five years [26]. All subjects had an ABPM recording after at least three months of blood pressure lowering treatment and a higher ambulatory systolic or diastolic blood pressure predicted for cardiovascular events even after adjustment for classic risk factors including office measurements of blood pressure. For cerebrovascular outcomes analyzed separately, ambulatory blood pressure was not predictive of the risk after adjustment for office blood pressure. However, office SBP was associated with stroke risk, and the number of episodes could be too small (36 patients) to detect a significant association.

Dipping Status and the Risk of Stroke

The average nocturnal BP is approximately 15 percent lower than daytime values in both control and hypertensive patients. Based on 24-hour BP monitoring, subjects can be classified as nondippers (nocturnal reduction of systolic pressure by <10 % of awake systolic pressure), dippers (reduction by ≥10 % to <20 %), and extreme dippers (reduction by ≥20 %). In some patients so-called “reverse dipping” has been described with an increase in BP during nighttime [27•]. The dipper/nondipper classification of nocturnal blood pressure was first introduced in 1988 when a retrospective analysis suggested that hypertensive patients without nocturnal fall in BP had a higher risk of stroke than the majority of patients with a dipping pattern [28]. Dipping pattern is associated not only with clinical cerebrovascular events but also with the development of silent brain infarcts [29]. In asymptomatic hypertensive patients who underwent 24-hour monitoring and brain magnetic resonance imaging, the frequency of asymptomatic cerebrovascular damage (silent infarcts and advanced deep white matter ischemic lesions) was higher in nondippers as compared to dippers, and extreme dippers had more advanced cerebrovascular lesions [30, 31].

Since then, there have been many studies evaluating morbidity and dipping status, and most large-scale prospective studies support the concept that a diminished nocturnal blood pressure decline is associated with a worse prognosis [32, 33]. Moreover, three longitudinal studies conducted in patients with hypertension have shown that a diminished nocturnal decline in blood pressure predicts cardiovascular events [3436]. One study suggested that daytime pressure is a better predictor of cardiac events than nighttime pressure, the latter being more important for stroke [37].

The first prospective study to demonstrate that a diminished nocturnal decline in blood pressure is a risk factor for cardiovascular mortality, independent of the overall blood pressure load during a 24-hour period, was the Ohasama study in a Japanese population, which showed that, on average, each 5 % decrease in the decline in nocturnal blood pressure was associated with 20 % greater risk of cardiovascular mortality. Importantly, this association was observed not only in hypertensive individuals but also in normotensive individuals [38]. Kario et al. [36] prospectively observed group of 575 patients with sustained hypertension and known dipping status. Baseline brain magnetic resonance imaging (MRI) disclosed that the percentages with multiple silent cerebral infarcts were 53 % in extreme-dippers, 29 % in dippers, 41 % in nondippers, and 49 % in reverse-dippers. During follow up for an average duration of 41 months, they recorded 54 stroke incidents, and there was a J-shaped relationship between dipping status and stroke incidence (extreme-dippers, 12 %; dippers, 6.1 %; nondippers, 7.6 %; and reverse-dippers, 22 %). Intracranial hemorrhage was more common in reverse-dippers (29 % of strokes) than in other subgroups (7.7 % of strokes, p < 0.04).

Despite the absolute risk of cardiovascular complications, the relation to blood pressure is lower in women than in men, the relation between differences in ABPM values and the rates of cardiovascular complications – including stroke - is higher. Data published by the IDACO consortium showed a much steeper relation of all cardiovascular events and stroke with nighttime BP. Again, the BP level achieved at night was more important than the amount of dipping per se. In this study 9,357 subjects (4 397 women) were prospectively observed for the median of 11.2 years and both office and 24-hour ambulatory BP were recorded [39].

White Coat Hypertension and the Risk of Stroke

In many patients blood pressure taken in the office may be substantially higher than BP during normal daily activities. White coat hypertension (WCH), also called isolated clinic or office hypertension, is diagnosed when BP is elevated in the office at repeated visits but remains normal out of the office, either on ABPM or HBPM. The prevalence of WCH ranges from 10 to more than 20 percent, and appears to be higher in children and the elderly. A white coat hypertension effect may also occur in patients with apparently resistant hypertension and is called “white coat reaction”. In a study of nearly 500 treated hypertensive patients (over 60 percent on three or more antihypertensive agents), 37 % had normal BP on ABPM [40].

The prognostic relevance of WCH still remains a matter of controversy. Cross-sectional studies demonstrated a higher frequency of target organ damage in patients with WCH than in normotensive controls [41]. Results of longitudinal studies show that cardiovascular risk was slightly higher compared with persistent normotension but well below the risks associated with either masked or sustained hypertension. In three prospective cohort analyses including nearly 6,000 subjects followed for a median of 7.5 years, the risk of stroke was 15 % greater in WCH patients as compared to normotensive population, but the difference was not statistically significant [42]. Analysis of subjects with WCH among patients with isolated systolic hypertension included in the IDACO database show no difference in cardiovascular risk between normotensive and WCH patients, either treated or untreated. However, observed risk was significantly higher compared to patients with masked or sustained hypertension. Stroke episodes were not analyzed separately [43]. In a recent meta-analysis which included nearly 8,000 untreated subjects with WCH diagnosed by means of ABPM, there was no significant difference in cardiovascular risk between normotensive and WCH patients [44].

However, a small number of patients included in studies with short time of follow-up and low initial cardiovascular risk make an unequivocal demonstration of correlation between WCH and increased CV risk difficult. Therefore, WCH cannot be considered an innocent finding. In the Hisayama Study 2,915 Japanese aged over 40 years had ABPM performed along with ultrasound screening for carotid atherosclerosis [45]. As compared to normotensive population, subjects with WCH had significantly higher intima-media thickness of the carotid artery (0.73 mm vs. 0.67 mm, p < 0.001) and increased likelihood of carotid stenosis (odds ratio 2.36 with 95 % CI 1.27-4.37).

In long-term studies, the incidence of stroke in WCH patients began to rise after 6-8 years of observation [42, 44]. Although they have “normal” ABPM or HBPM, still their values are slightly, yet significantly higher, than BP levels recorded in normotensive controls [46]. They also show a greater prevalence and severity of metabolic risk factors and are characterized with a greater 24-hour BP variability [47].

WCH patients are frequently treated, and the reduction of clinic BP leads to a reduced incidence of CV events. In the Hypertension in the Very Elderly Trial [48], treatment of hypertensive subjects over 80 years of age with indapamide/perindopril versus matching placebo was associated with a 30 % reduction in the rate of fatal or nonfatal stroke, a 39 % reduction in the rate of death from stroke as well as lower total mortality and the risk of other analyzed clinical endpoints [48]. In a small group of patients from both active treatment and placebo groups, ABPM was measured and the results suggest that between 40 % and 60 % of eligible participants in the main study may have had WCH [49]. Therefore, in the elderly, WHC may be associated with an increased cardiovascular risk and active treatment could reduce incidence of significant clinical complications, including stroke. To change current clinical practice, appropriate randomized clinical trials should be required.

Masked Hypertension and the Risk of Stroke

The term “masked hypertension” was introduced by Thomas Pickering to describe patients who are normotensive by conventional clinic measurement and hypertensive by ABPM [50]. This phenomenon, also called isolated ambulatory hypertension, has been identified by screening clinical studies, since patients who are normotensive by office readings do not typically undergo ambulatory monitoring. The prevalence of masked hypertension depends on the study population, setting and modality of out-of-office measurement (ABPM or home blood pressure monitoring, HBPM). Meta-analysis which used data from 28 studies including 25,605 subjects found average prevalence of masked hypertension of 16.8 % (95 % CI13.0-20.5 %)[51]. There are two categories of causal mechanism of masked hypertension: selective reduction of office BP relative to out-of-office BP attributed to the “regression to the mean” phenomenon, and the presence of conditions that selectively increase ambulatory BP. These factors may include smoking, increased physical activity, drinking, obesity, anxiety and job stress, male gender and younger age [20, 5154]. Poor treatment adherence and intake of medications immediately before scheduled visit can also be responsible cause [55].

Patients with masked hypertension have higher left ventricular mass than normotensives [51, 54, 56]. In The Hisayama Study, subjects with masked hypertension had intima-media thickness of the carotid artery similar to sustained hypertensives (0.77 mm) significantly higher than normotensive population (0.67 mm, p < 0.001), and increased risk of carotid stenosis (odds ratio 1.95 with 95 % CI 1.25-3.03) as compared to control population [45]. These data confirm previous findings from smaller studies [57, 58]. Masked hypertension is associated with an increased pulse wave velocity, a measure of arterial stiffness, similar to sustained hypertensives and significantly higher than in normotensive subjects [58].

Masked hypertension has been associated with an increased long-term risk of sustained hypertension and cardiovascular morbidity similar to stage 1 hypertension. In the latest meta-analysis including eight studies with 7,961 subjects [51], compared with normotension, the overall hazard ratio for cardiovascular events was 2.09 (95 % CI 1.55-2.81) for masked hypertension, 0.96 (95 % CI 0.65-1.42) for WCH and 2.59 (95 % CI 2.9-3.335) for sustained hypertension (p = 0.0001). All these surveys took into account total cardiovascular complications without separating cerebrovascular events [51, 54, 59].

Because of the risk associated with masked hypertension, ABPM should be considered in patients referred for possible hypertension (for a variety of reasons, such as left ventricular hypertrophy) despite repeatedly normal BP when measured in the clinic [60].

Morning Surge and the Risk of Stroke

Frequency of cardiovascular complications shows a diurnal variation with a peak incidence between 6 AM and noon [61]. Systematic review of the data on timing of the onset of acute stroke and the subtype of stroke was performed using 31 reports including 11,816 strokes [62]. All cerebrovascular events, ischemic and hemorrhagic stroke as well as transient ischemic episodes, displayed a significant variation in time of onset. The time period of the highest risk was found between 6 and 9 AM and the lowest number of events occurred from midnight to 3 AM. There was a 58 % “morning excess” of strokes when compared with the value expected if all strokes had been evenly distributed. Risk of all subtypes of stroke was increased during morning hours (6 AM to noon): 55 % for ischemic stroke, 34 % for hemorrhagic stroke and 76 % for transient ischemic accidents. Diurnal pattern in stroke onset is independent of patient demographics, clinical features, or predisposing risk factors [63, 64].

Morning excess of cardiovascular risk parallels the normal circadian pattern of BP, heart rate, physical activity, plasma catecholamines, cortisol, and other humoral and nervous factors. Cerebral blood flow, autoregulation and cerebrovascular reactivity to physiologic stimuli are impaired in the morning and that might explain the increased risk of stroke [65]. Also, increase in sympathetic activity, impaired endothelial function and increased platelet aggregability could contribute to morning excess of cardiac and cerebral events [66].

Some studies suggest that circadian system modulates not only cardiovascular risk markers (i.e., BP or heart rate) at rest but also their reactivity to environmental factors [67]. In certain subjects an exaggerated BP response to regular daily physical activity can be observed and for that phenomenon the term “morning surge” was coined.

Kario and associates first demonstrated that this phenomenon is an independent risk factor for cardiovascular diseases, including stroke. This findings were confirmed in six prospective studies (for review see [68••]. Subjects with “morning surge” – even without hypertension, have a higher incidence of target organ damage (left ventricular hypertrophy, carotid atherosclerosis, intima-media thickness, pulse wave velocity), higher levels of inflammatory markers and urinary catecholamines and albumin excretion [6971].

Increased stiffness of large arteries results in reduced sensitivity of carotid baroreceptors. Thus, they cannot initiate an effective reflex response to suppress BP surge, particularly in the morning. This notion is supported by a correlation of baroreflex response during the Valsalva maneuver with an increase in morning BP [72].

Morning surge is associated with many factors: ageing, glucose intolerance, alcohol intake, psychological and physical stress, and sleep apnea [68••]. Increases in BP after awakening are higher on Mondays and over the winter and this may explain Monday and winter peak of cardiovascular incidents [73, 74].

However, only one study investigated the association between morning surge and the time of onset of acute cerebrovascular event [75]. The Jichi Medical University School of Medicine Japan Morning Surge Ambulatory Blood Pressure Monitoring Study included 519 older hypertensives with silent cerebral infarct detected on brain MRI, and who were followed up prospectively for an average of 41 months. Incidence of stroke episodes in the morning hours was higher in those with morning surge as compared to subjects without an exaggerated rise in BP after being awake. In this study, the morning surge was associated with stroke events independently of 24-hour BP, nocturnal BP dipping status, and baseline prevalence of silent infarct (P = 0.008). However, Pierdomenico et al., observing 1,191 elderly treated for hypertension (mean follow up 9.1 ± 4.9 years) found that morning surge of systolic BP was not associated with the risk of stroke in a population as a whole. When dippers and nondippers were analyzed separately, in dippers stroke risk was significantly higher in the third tertile (>23 mm Hg of systolic BP) of morning surge (hazard ratio 2.08 95 % CI 1.03-4.23, p = 0.04). Stroke risk was significantly and similarly higher in dippers with morning surge >23 mm Hg of systolic BP and in nondippers as compared to the group of dippers with morning surge < 23 mm Hg of systolic BP [76].

Morning surge is detected based on ABPM measurements and there are some controversies regarding reproducibility of this phenomenon [77, 78], which may be related to the lack of uniform definition. Studies defining morning surge as the BP 2-hour after rising (morning BP) minus the average BP during sleep (sleep BP) provided the most reproducible results.

There are no clinical studies that pharmacological treatment of morning surge results in regression of target organ damage and prevention of cardiovascular complications. Bedtime dosing of antihypertensive medications may reduce morning rise in BP and it was reported in small open-label studies with doxazosine (The Japan Morning Surge Study 1) and candesartan (the Japan-Target Organ Protection Study). Also, reduction in albumin excretion was observed [79, 80]. However, whether prevention of morning surge as well as reversal of nondipping is possible or beneficial is uncertain and this hypothesis should be tested in randomized clinical trials in the future. Unfortunately, the Controlled Onset Verapamil Investigation of Cardiovascular End Points (CONVINCE) trial, which was designed to compare chronotherapy with standard treatment was stopped prematurely. However, data available showed that controlled-onset extended-release verapamil was not better than standard therapy with beta-blocker and thiazide for preventing coronary heart disease and stroke [81].

Blood Pressure Variability and the Risk of Stroke

Blood pressure variability (BPV) may be divided into short-term variability including changes in BP from beat-to-beat or within 24 hours, midterm-day by day, and long-term variability related to BP fluctuations between visits, seasons, years and even decades [82]. Physiologically, short-term changes in BP represent an adaptive response of body regulatory systems to internal and external stimuli. Short-term BPV, usually expressed as the average of standard deviation or coefficient of variation of BP readings during different time intervals, is associated with the risk of cardiovascular complications but is a much weaker predictor of future outcomes than the 24-hour ambulatory blood pressure level [83]. Also, BPV derived from home BP measurements was not a stronger predictor of cardiovascular risk than mean systolic BP [84, 85].

Long-term BPV shows only weak correlation with short term fluctuations (assessed with ABPM) and may result from different determinants like seasonal changes due to ambient temperature and daylight hours, errors in BP readings, low patients’ compliance and adherence, and behavioral changes related to workdays and weekends [8, 47, 86]. Results from the twin study suggest that some phenotypes of BPV may be genetically determined [87].

Both short or long term BPV has been associated with development, progression and severity of cardiac, vascular and renal organ damage and with an increased risk of cardiovascular events and mortality, independently of basic BP levels (for review see [88••]. For the first time, investigators of the Swedish Trial in Old Patients with Hypertension (STOP) observed that active treatment reduced the risk of stroke more than it could be attributed to the reduction of BP per se [89]. They suggested that therapy with antihypertensive medications might protect against stroke by decreasing variability in BP.

Recently, Rothwell et al. [90] conducted a post hoc analysis of the data of UK Transient Ischemic Attack aspirin trial (UK-TIA), selecting a cohort of patients with at least seven office BP measurements, once every four months. They found substantial BPV within a single subject from one visit to the next, even when antihypertensive regimen was not changed. In the UK-TIA trial, visit-to-visit systolic BPV was a stronger and independent predictor for future stroke than average systolic BP and its value was similar in subjects treated or not treated for hypertension. These findings were confirmed in three cohorts with a history of ischemic stroke or TIA selected from randomized clinical trials (European Stroke Prevention Study, Dutch TIA and Anglo-Scandinavian Cardiac Outcome Trial-Blood Pressure Lowering Arm, ASCOT-BPLA). In the UK-TIA patients, maximum systolic BP predicted stroke independently of average systolic BP. Patients who did not have sustained hypertension but had episodic severe hypertension at one or more visits had a higher risk of stroke as compared to those with persistent hypertension, despite having lower average systolic BP. There was no association between diastolic BP variability and the risk of stroke.

In the ASCOT-BPLA trial, high-risk hypertensive subjects were randomized to the treatment based on amlodipine adding perindopril mg as required or atenolol adding thiazide diuretic. The majority of patients (89 %) had no history of previous stroke or transient ischemic attack. Compared with the atenolol-based regimen, individuals on the amlodipine-based regimen had a lower risk of fatal and non-fatal stroke (hazard ratio 0.77, 95 % CI 0.66-0.89, p = 0.0003), total cardiovascular events (hazard ratio 0.84, 95 % CI 0.78-0.90, p < 0.0001), and all-cause mortality (hazard ratio 0.89, 95 % CI 0.81-0.99, p = 0.025). Visit-to-visit BPV was a strong predictor of both stroke and coronary events, while average systolic BP was a weaker predictor of both [91].

In their study they also analyzed data from 18,530 patients from the ASCOT-BPLA study without a history of cerebrovascular incident including subgroup of 1,905 participants with repeated ABPM [90]. BPV assessed using ABPM, and expressed as the standard deviation of daytime systolic BP, correlated with visit-to-visit office systolic BPV, and both measures predicted independently of daytime average systolic BP, in particular in younger patients and at lower values of mean systolic BP. Visit-to-visit BPV was a stronger predictor for cardiovascular outcomes than variability on ABPM. Visit-to-visit BPV was greater in the atenolol than in the amlodipine group. In the subsequent meta-analysis they analyzed effects of different classes of antihypertensive drugs on BPV variability and the risk of stroke [92••] – see “Optimal selection for antihypertensive drugs for stroke prevention”.

The prognostic importance of visit-to-visit BPV was supported by data from the Third National Health and Nutrition Examination Survey [93]. In a cohort representing the USA population, total mortality was 50 % greater in subjects with the highest tertile of BPV. Data on incidents of stroke were not presented. The relationship between visit-to-visit BPV was also observed in subjects without hypertension. Greater BPV was associated with age, female gender, history of myocardial infarction, higher mean systolic BP and pulse pressure, and use of ACE inhibitors. However, in the European Lacidipine Study on Atherosclerosis (ELSA), which included 1,521 hypertensive patients observed for four years, long-term BPV was not related to the risk of cardiovascular complications (separate number of strokes were not listed). On the contrary, subclinical complications as well as cardiovascular outcomes were significantly correlated with the mean clinic or ambulatory SBP [94].

Recently, Hastie et al. [95] published a study which investigated data on the prognostic value of long-term BPV. In a large population of 16,011 treated hypertensive patients with a follow up extending up to 35 years, they found a consistent association between increasing values of long-term and ultra long-term BPV and risks of cardiovascular and non-cardiovascular mortality, independent from average systolic BP. In contrast to previous studies, no significant relationship was observed between BPV and stroke mortality. However, previous studies that reported strong links between BPV and stroke assessed stroke incidence, for which the authors had no data. Also, in meta-analysis of 14 clinical trials, greater BPV was not related to higher risk of new-onset atrial fibrillation suggesting that other mechanisms might explain the association between variability and stroke risk [96].

In some studies, measures of intra-individual variability on a visit and not on individual visit-to-visit variability were used, however strict correlation between these two measures of BPV was demonstrated [90]. Using data from the UK-TIA Aspirin Trial and the European Carotid Surgery Trial (ECST), Howard and Rothwell show a reproducibility of repeated BPV measurements in subjects with previous cerebrovascular accidents [97]. This finding was also confirmed in the Cohort Study of Medication Adherence among older Adults (CoSMO) which included 772 elderly with treated hypertension [98] and by the data from the Glasgow Blood Pressure Clinic [95] with mostly patients with uncomplicated hypertension.

Episodic hypertension and high visit-to-visit BPV despite good control of mean BP indicates an increased stroke risk.

Optimal Blood Pressure for Prevention of Stroke

Early trials demonstrated that BP-lowering was effective in preventing stroke in subjects with severe hypertension, in later studies these benefits were also shown in patients with mild to moderate hypertension. In the following clinical trials, reduction in stroke was observed in various populations: elderly, subjects with isolated systolic hypertension, different ethnic groups, subjects with diabetes, high cardiovascular risk, history of coronary heart disease or previous cerebrovascular incident [99]. Results of meta-analysis which used data from 147 randomized clinical trials showed that blood pressure reduction of 10 mm Hg systolic and 5 mm Hg diastolic was associated with a 41 % (33 % to 48 %) reduction in stroke for all trials, 46 % (35 – 55 %) in primary prevention trials, 44 % (21 – 44 %) in secondary prevention trials, and 35 % (20 – 47 %) in trials including subjects with a history of coronary heart disease. The reductions in disease events in the trials were similar to those expected from the cohort study [100••].

The risk of stroke increases continuously above BP values of 115/75 mm Hg. In clinical trials average BP on treatment usually did not fall below 130/80 mm Hg, but available data show continuous reduction of stroke risk parallel to attained BP level. Data from clinical trials do not suggest a J-curve phenomenon between BP and the risk of stroke (see “Targeted Blood Pressure and Stroke—J-curve Phenomenon?”) but there are only a few clinical trials which investigated cardiovascular outcomes in subjects treated to different BP goals (for review see [101•].

The Action to Control Cardiovascular Risk In Diabetes – Blood Pressure Arm (ACCORD-BP) study investigated the effect of treatment aimed at intensive lowering of SBP to <120 mmHg (compared to standard therapy) on the incidence of cardiovascular events in 4,733 patients with type 2 diabetes [102]. After a year of treatment, the mean SBP was 119.3 mmHg in the group managed intensively and 133.5 mmHg in the group on standard therapy, while the mean DBP values were 64.4 and 70.5 mmHg, respectively. The incidence of stroke was significantly lower in the group receiving intensive treatment (0.32 % vs. 0.53 %; p = 0.01); a similar relationship was found for nonfatal stroke (0.30 % vs. 0.47 %; p = 0.03). However, the incidence of adverse complications of treatment (orthostatic hypotension, hyperkalemia, syncope, bradycardia, arrhythmia or renal function impairment) was significantly increased (3.3 % vs. 1.3 %). There was no significant difference in the primary endpoint, comprising nonfatal MI or stroke, or death due to cardiovascular causes (1.87 % per year in the group on intensive treatment compared with 2.09 % of those on standard therapy; p = 0.20).

In the Studio Italiano Sugli Effetti CARDIOvascolari del Controllo Della Pressione Arteriosa SIStolica (CARDIO-SIS) study subject (n = 1,111) with initial systolic BP >150 mm Hg and no diabetes, were randomly allocated to strict control of SBP (target value <130 mmHg; n = 558), or the standard one (target value <140 mmHg; n = 553). After two years of follow up, in the strict control group as compared to the typical control, there was a significantly lower risk of total cardiovascular events. There was also a difference in number of incidents of stroke and TIA (1 · 6 % vs 0 · 7 %, standard and intensive group, respectively), yet due to low numbers of events they did not reach statistical significance [103].

Meta-analysis of 11 published randomized clinical trials with 42,572 participants investigated the risk of stroke in patients who achieved an intensive (<130 mm Hg) or standard (<140 mm Hg) target of systolic BP. Tight BP control appears to provide additional stroke protection but only among patients with risk factors. Subjects with established cardiovascular disease did not benefit from lowering systolic BP < 130 mm Hg [104].

Another meta-analysis compared different BP-lowering agents and different BP intervention strategies on stroke risk in a total of 73,913 patients with diabetes randomized in 31 intervention trials [105]. Allocation to more-tight, compared with less-tight, BP control reduced the risk of stroke by 31 % (relative risk (RR) 0.61, 95 % confidence interval (CI) 0.48-0.79], whereas the reduction in the risk of MI was close to statistical significance [odds ratio (OR) 0.87, 95 % CI 0.74-1.02]. In a meta-regression analysis, the risk of stroke decreased by 13 % (95 % CI 5-20, P = 0.002) for each 5-mmHg reduction in SBP, and by 11.5 % (95 % CI 5-17, P < 0.001) for each 2-mmHg reduction in DBP. The risk of MI did not show any association with the extent of BP reduction.

Current European Guidelines [98] recommend lowering of BP below 140/90 mm Hg for all subjects with hypertension with few exceptions like diabetics (diastolic BP below 85 mm Hg) and elderly over 80 years of age (systolic BP between 140- 150 mm Hg). Some data suggest that further lowering of BP close to optimal level (120/80 mm Hg) may offer additional protection against stroke. However, this strategy can be considered only in subjects with uncomplicated hypertension and initial high stroke risk.

Classes of Antihypertensive Drugs and Stroke Prevention

Starting from the 1980s, randomized trials have compared the effects of different blood pressure lowering medication on cardiovascular events. Meta-analysis of these trials did not find any substantial differences between treatment regimens and combined cardiovascular outcomes. Generally, the major benefit, including protection against stroke, was attributed to the treatment regimen offering lower BP level.

However, some data showing that in the case of primary stroke prevention, calcium channel blockers may be more effective than other groups of drugs. In the ASCOT-BPLA study, a treatment regimen based on amlodipine was more effective in stroke reduction than treatment based on atenolol. However, there was a slightly lower blood pressure achieved in the amlodipine arm than in the atenolol arm, and it may be responsible for observed differences in stroke risk [91]. The reduced risk of stroke in patients treated with a calcium channel antagonist as compared with other classes of BP lowering medications did not reach statistical significance in other trials [100••].

Results of the ASCOT-BPLA trial opened a debate on the role of beta-blockers in the treatment of uncomplicated hypertension. Some group of experts recommended avoiding use of beta-blockers as first line treatment due to their lower protection against stroke [106]. Meta-analysis by Law et al. [100••] included all identified randomized trials of BP lowering drugs in which coronary events or stroke were recorded. The relative risk estimates for stroke in the drug comparison trials were close to 1.0, with two exceptions: greater preventive effect of calcium channel blockers than other drugs (relative risk 0.91, 95 % confidence interval 0.84 - 0.98; p = 0.01), and a lesser effect of β blockers (relative risk 1.18, 1.03 - 1.36; p = 0.02). The differences remained significant after adjustment for the small difference in blood pressure reduction between the groups. The observed lesser effect of β blockers, however, was based on trials that directly compared calcium channel blockers with β blockers. Exclusion of the results of these trials from meta-analysis weakened the evidence favoring a disadvantage of β blockers over the three other classes (relative risk 1.11, 0.86 - 1.44; p = 0.40) but had little effect on the strength of evidence favoring an advantage of calcium channel blockers over the three other classes of drug (relative risk 0.93, 0.86 to 1.01; p = 0.07). The results of comparisons of different classes of antihypertensive drugs were similar in primary and secondary prevention of stroke.

Beta-blockers and calcium channel antagonists differ in their influence on central BP measured in the aorta. The Conduit Artery Function Evaluation (CAFÉ) substudy of ASCOT BPLA showed greater reduction of central SBP as compared to brachial BP in patients in the amlodipine arm than in subjects on atenolol-based therapy [107]. For a similar effect on brachial BP, amlodipine lowered central SBP by an additional 4.3 mm Hg as compared to atenolol. The influence on central aortic BP might explain the results of the Nordic Diltiazem (NORDIL) trial where, despite lower systolic BP by 3 mm Hg, the number of fatal and nonfatal strokes was significantly higher on beta-blocker than during administration of calcium channel blocker (7.9 vs 6.4 events per 1000 patient-years; p = 0.04) [108]. Ding et al., performed a meta-analysis including trials that compared beta-blockers with other classes of anti-hypertensive agents in their effect on stroke and central hemodynamics [109]. In nine trials, beta-blockers reduced central aortic pressure (estimated as an Augmentation Index, AI) to less extent than other classes of drugs. The difference in central systolic BP could be largely explained by the heart-rate slowing effect of beta-blockers. In a subsequent meta-regression of these trials , the base-line adjusted change in heart rate by ten beats per minute was associated with a significant increase of AI by 7 %. In outcome trials, odds ratio for stroke was 1.23, which corresponds to the difference in central SBP derived from the above meta-regression analysis.

Calcium channel blockers lower BP acting on resistance arterioles and in a small, but interesting study on stroke outcome, survivors of acute stroke had a lower systemic vascular resistance [110].

Differences between angiotensin-converting enzyme inhibitors and angiotensin receptor blockers on the risk of stroke were investigated in the meta-analysis including trials in subjects with high cardiovascular risk (ONTARGET), heart failure (ELITE), post-MI (OPTIMAAL, VALIANT) or diabetic nephropathy (DETAIL). Although both groups of drugs reduced BP to the same extent, and there was no difference in the risk of cardiovascular mortality and MI, the risk of stroke was slightly lower with ARBs than ACE inhibitors (odds ratio 0.92; 95 % confidence interval 0.85-0.99; P = 0.037) [111].

Major clinical trials with different classes of BP lowering drugs in hypertensive populations without previous history of cerebrovascular events (less 5 % of stroke victims at the baseline) are listed in Table 1.

Table 1.

Major clinical trials with different classes of BP lowering drugs in hypertensive population without previous history of cerebrovascular events (less 5 % of stroke victims at the baseline)

Trial
[ref]
No of participants Mean age (yrs) Main drug /comparator Average reduction in blood pressure (mm Hg) Number of strokes
treatment control /comparator systolic diastolic treatment Control/comparator
ABCD-2[117] 237 243 59 iACE/CcCB 7.4 6.0 4 13
ADVANCE [118] 5569 5571 66 any 5.6 2.2 215 218
Australian TTMH [119] 1721 1706 50 D/plac - 5.6 13 22
BBB [120] 1063 1063 60 any 8.7 7.1 8 11
CAPPP [121] 5492 5493 52 iACE/plac - - 193 149
CONVINCE [81] 8241 8361 66 CaCB/bB + D 0.1 0.7 133 118
DREAM [122] 2623 2646 55 iACE/plac 4.3 2.7 4 8
EWPHE [123] 381 396 72 D/plac 21 8 27 39
FEVER [124] 4841 4870 62 CaCB/plac 4.2 2.1 177 251
HEP [125] 408 459 69 D + bB/plac 11 18 18 38
HDFP [126128] 5349 5317 51 D/plac - 5.3 87 142
HOT [129] 12526 6464 62 any 2.8 3.0 200 94
Hunan province [130] 1040 1040 52 CaCB/plac 8.8 5.6 37 79
HYVET pilot [131] 426 426 84 D/plac 22 11 6 18
431 84 iACE/plac 23 11 12 -
HYVET [48] 1933 1912 84 D/plac 15 6.1 51 69
LIFE [132] 4605 4588 66 ARB/bB 1.1 -0.2 232 309
MRC-1[133] 4297 8654 52 D/plac 13.2 6.1 18 109
4403 52 bB/plac 9.5 4.9 42 -
MRC-2 [134] 1081 2213 70 D/plac 16.4 7.0 45 134
1102 70 bB/plac 14.1 7.3 56 -
NORDIL [108] 2786 2805 60 CaCB/D + bB 3.1 0.2 200 236
Oslo [135] 406 379 45 D/plac 16.7 9.8 0 5
PREVENDIT [136] 431 433 51 iACE/plac 3.8 2.9 1 10
SHEP pilot [137] 443 108 72 D/plac 15 4 11 6
SHEP [138] 2306 2331 72 D/plac 13.0 4.3 97 155
STOP [139] 781 780 76 D + bB 8.1 19.5 28 49
STOP - 2 [140] 2213 2196 76 D + bB/CaCB 1 0 86 83
2213 2205 D + bB/iACE 1 0 86 86
Syst-Eur [141] 2398 2297 70 CaCB/plac 10 4.5 47 77
Syst-China [142] 1253 1141 67 CaCB/plac 8.3 3.1 45 59
TOMHS [143] 668 234 55 any 6.8 3.7 - -
UKPDS 38 [144, 145] 758 390 56 any 10 4 17 34
UKPDS 39 [145] 400 358 56 iACE/bB 11 6 21
USPHS [146] 193 196 44 D+Res/plac 9.8 18.0 1 6
VA-1[147] 73 70 51 D+Res+Hdr/plac 27 38 1 3
VA-2 [148] 186 194 51 D+Res+Hdr/plac 18.6 31.3 5 20
VANHLBI [149] 508 504 38 D - 5.9 0 0

D- thiazide, bB - β blocker, iACE - ACE inhibitor, ARB – angiotensin II receptor antagonist, CaCB - calcium-channel blocker, Res- rauwolfia, Hdr – hydralazine, plac - placebo

Visit-to-visit BP variability is a predictor for future stroke and in the ASCOT BPLA trial this parameter was greater in the atenolol than in the amlodipine group [91]. Webb et al., using data from 389 trials analyzed the effect of different classes of antihypertensive drugs on BPV [92••]. Compared with other drugs, interindividual variation in SBP was reduced by calcium-channel blockers and non-loop diuretic drugs, and increased by ACE inhibitors, ARBs and beta-blockers. Compared with placebo only, interindividual variation in SBP was reduced the most by calcium-channel blockers. In another study, they analyzed within-individual visit-to-visit variability using data from two trials: ASCOT BPLA comparing atenolol and amlodipine-based regimens and the Medical Research Council (MRC) comparing atenolol-based with diuretic-based BP lowering therapy [112]. In patients during the MRC study, BPV increased on beta-blocker treatment comparing to placebo and diuretic. Subsequent temporal trends in variability in blood pressure during follow up in the atenolol group correlated with trends in stroke risk. In ASCOT BPLA, variability decreased over time in the amlodipine group and increased in the atenolol group. The authors conclude that the opposite effects of calcium-channel blockers and beta-blockers on variability of blood pressure account for the disparity in observed effects on risk of stroke and expected effects based on mean blood pressure. The effects of calcium channel blockers on BPV persisted when they were used in combination with other agents [113].

However, in the above mentioned studies atenolol was given once daily despite its relatively short half-life of 6-7 hours. Limited duration of BP lowering effect of atenolol could cause episodic hypertension and increased BPV. Comparison of different beta-blockers showed that beta1-selective is associated with lower BPV than are the non-selective beta-blockers. Among vasodilating beta-blockers, carvedilol (non-selective) increases BPV, while nebivolol (selective) does not affect BPV [114].

The reduction in BPV was also associated with the frequency of headaches. In a systematic review of randomized trials it was demonstrated that antihypertensive treatment reduced the incidence of headache compared to placebo, but there were significant differences in the magnitude of the effect, independent of reduction in systolic BP [115]. Beta-blockers reduced headache more than other classes and calcium channel blockers did not reduce headache compared to placebo and increased it compared to other drug classes. The mechanism underlying these findings and their clinical significance is unknown.

According to the studies on BPV and stroke prevention, an ideal antihypertensive drug should reduce both mean blood pressure and variability.

Conclusions

Hypertension is the most important modifiable risk factor for stroke and according to the WHO Global Report, 54 % of cerebrovascular incidents are attributable to high BP (SBP > 115 mm Hg) with half of them related to sustained hypertension (>140/90 mm Hg). The association between BP and the stroke risk is continuous without any evidence of a threshold down to at least 115/75 mm Hg. Hypertension increases the risk for both ischemic and hemorrhagic stroke, both in subjects without or with the history of coronary heart disease or previous stroke. ABPM is not only a better predictor of stroke risk than office BP, but also can identify disturbances in diurnal variation of BP. Absence of nocturnal drop (“nondipping”) or excessive fall of nighttime BP (extreme dippers), early morning acceleration in BP after leaving the bed (“morning surge”) are especially associated with cerebrovascular disease. Only ABPM or HBPM can detect two forms of hypertension: - “white coat” and “masked” hypertension – and both carry an increased risk of cardiovascular complications, including stroke.

Increased variability in BP is a risk factor of stroke independent of means BP. In a series of secondary analysis of data from clinical trials, Webb and Rothell reported a significant association between BPV and efficacy of different classes of antihypertensive medications in primary and secondary stroke prevention. However, their data are disputable since they extrapolated data from between patients BP variability, as a measure of within patient BP variability.

It is suggested that lower efficacy of beta-blockers for stroke protection may result from their inferior effect on BPV and central aortic pressure; however, most of the data comes from the studies with atenolol, dosed in a manner not offering a smooth and long lasting lowering of BP. There are many unresolved issues regarding optimal stroke protection. The issue of J-curve and goal BP in primary and secondary prevention is still debated, and data from clinical trials are very limited. However, recent data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) observational study, which included 13,948 patients, generate a hypothesis that for all patients older than 55 years of age, the recommended level of systolic blood pressure should be less than 140 mm Hg, with optimal values possibly between 120 and 139 mm Hg [116]. According to the current state of knowledge, in patients without coronary heart disease, it seems we are justified in loweingr BP even below 130/80 mm Hg, yet this is not recommended in current guidelines. Also, there is no clear indication to guide our treatment based on BP variability or disturbances of diurnal BP rhythm.

Compliance with Ethics Guidelines

Conflict of Interest

Zbigniew Gaciong, Maciej Siński, and Jacek Lewandowski declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Footnotes

Search strategy

We searched using the electronic databases MEDLINE (1966–August 2013), EMBASE and SCOPUS (1965–August 2013). The main data search terms were: blood pressure, stroke, hypertension, intensive (aggressive) hypotensive therapy, morning surge, white coat, blood pressure variability, nondipping, therapy and treatment.

References

Papers of particular interest have been highlighted as: • Of importance •• Of major importance

  • 1.Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the lobal Burden of Disease Study 2010. Lancet. 2012;380:2095–2128. doi: 10.1016/S0140-6736(12)61728-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380:2197–2223. doi: 10.1016/S0140-6736(12)61689-4. [DOI] [PubMed] [Google Scholar]
  • 3.Towfighi A, Saver JL. Stroke declines from third to fourth leading cause of death in the United States: historical perspective and challenges ahead. Stroke. 2011;42:2351–2355. doi: 10.1161/STROKEAHA.111.621904. [DOI] [PubMed] [Google Scholar]
  • 4.Kissela BM, Khoury JC, Alwell K, Moomaw CJ, Woo D, Adeoye O, et al. Age at stroke: temporal trends in stroke incidence in a large, biracial population. Neurology. 2012;79:1781–1787. doi: 10.1212/WNL.0b013e318270401d. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Johnston SC, Mendis S, Mathers CD. Global variation in stroke burden and mortality: estimates from monitoring, surveillance, and modelling. Lancet Neurol. 2009;8:345–354. doi: 10.1016/S1474-4422(09)70023-7. [DOI] [PubMed] [Google Scholar]
  • 6.O'Rourke MF. Frederick Akbar Mahomed. Hypertension. 1992;19:212–217. doi: 10.1161/01.hyp.19.2.212. [DOI] [PubMed] [Google Scholar]
  • 7.Wolf PA, D'Agostino RB, Belanger AJ, Kannel WB. Probability of stroke: a risk profile from the Framingham study. Stroke. 1991;22:312–318. doi: 10.1161/01.str.22.3.312. [DOI] [PubMed] [Google Scholar]
  • 8.Kannel WB, Dawber TR, Sorlie P, Wolf PA. Components of blood pressure and risk of atherothrombotic brain infarction: the Framingham study. Stroke. 1976;7:327–331. doi: 10.1161/01.str.7.4.327. [DOI] [PubMed] [Google Scholar]
  • 9.Lewington S, Clarke R, Qizilbash N, Peto R, Collins R, Prospective Studies C. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002;360:1903–1913. doi: 10.1016/s0140-6736(02)11911-8. [DOI] [PubMed] [Google Scholar]
  • 10.Cholesterol, diastolic blood pressure, and stroke: 13,000 strokes in 450,000 people in 45 prospective cohorts. Prospective studies collaboration. Lancet. 1995;346:1647-1653. [PubMed]
  • 11.Blood pressure, cholesterol, and stroke in eastern Asia. Eastern stroke and coronary heart disease collaborative research group. Lancet. 1998;352:1801-1807. [PubMed]
  • 12.White WB. The systolic blood pressure versus pulse pressure controversy. Am J Cardiol. 2001;87:1278–1281. doi: 10.1016/s0002-9149(01)01519-3. [DOI] [PubMed] [Google Scholar]
  • 13.Domanski MJ, Davis BR, Pfeffer MA, Kastantin M, Mitchell GF. Isolated systolic hypertension : prognostic information provided by pulse pressure. Hypertension. 1999;34:375–380. doi: 10.1161/01.hyp.34.3.375. [DOI] [PubMed] [Google Scholar]
  • 14.Blacher J, Staessen JA, Girerd X, Gasowski J, Thijs L, Liu L, et al. Pulse pressure not mean pressure determines cardiovascular risk in older hypertensive patients. Arch Intern Med. 2000;160:1085–1089. doi: 10.1001/archinte.160.8.1085. [DOI] [PubMed] [Google Scholar]
  • 15.Antikainen RL, Jousilahti P, Vanhanen H, Tuomilehto J. Excess mortality associated with increased pulse pressure among middle-aged men and women is explained by high systolic blood pressure. J Hypertens. 2000;18:417–423. doi: 10.1097/00004872-200018040-00010. [DOI] [PubMed] [Google Scholar]
  • 16.Howard G, Lackland DT, Kleindorfer DO, Kissela BM, Moy CS, Judd SE, et al. Racial differences in the impact of elevated systolic blood pressure on stroke risk. JAMA Intern Med. 2013;173:46–51. doi: 10.1001/2013.jamainternmed.857. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.O'Donnell MJ, Xavier D, Liu L, Zhang H, Chin SL, Rao-Melacini P, et al. Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): a case-control study. Lancet. 2010;376:112–123. doi: 10.1016/S0140-6736(10)60834-3. [DOI] [PubMed] [Google Scholar]
  • 18.Piotrowski G, Banach M, Gerdts E, Mikhailidis DP, Hannam S, Gawor R, et al. Left atrial size in hypertension and stroke. J Hypertens. 2011;29:1988–1993. doi: 10.1097/HJH.0b013e32834a98db. [DOI] [PubMed] [Google Scholar]
  • 19.O'Brien E. Twenty-four-hour ambulatory blood pressure measurement in clinical practice and research: a critical review of a technique in need of implementation. J Intern Med. 2011;269:478–495. doi: 10.1111/j.1365-2796.2011.02356.x. [DOI] [PubMed] [Google Scholar]
  • 20.Pickering TG, Shimbo D, Haas D. Ambulatory blood-pressure monitoring. N Engl J Med. 2006;354:2368–2374. doi: 10.1056/NEJMra060433. [DOI] [PubMed] [Google Scholar]
  • 21.Hansen TW, Staessen JA, Torp-Pedersen C, Rasmussen S, Li Y, Dolan E, et al. Ambulatory arterial stiffness index predicts stroke in a general population. J Hypertens. 2006;24:2247–2253. doi: 10.1097/01.hjh.0000249703.57478.78. [DOI] [PubMed] [Google Scholar]
  • 22.Hansen TW, Jeppesen J, Rasmussen S, Ibsen H, Torp-Pedersen C. Ambulatory blood pressure and mortality: a population-based study. Hypertension. 2005;45:499–504. doi: 10.1161/01.HYP.0000160402.39597.3b. [DOI] [PubMed] [Google Scholar]
  • 23.Conen D, Bamberg F. Noninvasive 24-h ambulatory blood pressure and cardiovascular disease: a systematic review and meta-analysis. J Hypertens. 2008;26:1290–1299. doi: 10.1097/HJH.0b013e3282f97854. [DOI] [PubMed] [Google Scholar]
  • 24.Boggia J, Thijs L, Li Y, Hansen TW, Kikuya M, Bjorklund-Bodegard K, et al. Risk stratification by 24-hour ambulatory blood pressure and estimated glomerular filtration rate in 5322 subjects from 11 populations. Hypertension. 2013;61:18–26. doi: 10.1161/HYPERTENSIONAHA.112.197376. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Dolan E, Stanton A, Thijs L, Hinedi K, Atkins N, McClory S, et al. Superiority of ambulatory over clinic blood pressure measurement in predicting mortality: the Dublin outcome study. Hypertension. 2005;46:156–161. doi: 10.1161/01.HYP.0000170138.56903.7a. [DOI] [PubMed] [Google Scholar]
  • 26.Clement DL, De Buyzere ML, De Bacquer DA, de Leeuw PW, Duprez DA, Fagard RH, et al. Prognostic value of ambulatory blood-pressure recordings in patients with treated hypertension. N Engl J Med. 2003;348:2407–2415. doi: 10.1056/NEJMoa022273. [DOI] [PubMed] [Google Scholar]
  • 27.• O'Brien E, Parati G, Stergiou G, Asmar R, Beilin L, Bilo G, Clement D, de la Sierra A, de Leeuw P, Dolan E, et al. European Society of Hypertension position paper on ambulatory blood pressure monitoring. J Hypertens. 2013. Expert document on methodological aspects and clinical significance of ABPM. [DOI] [PubMed]
  • 28.O'Brien E, Sheridan J, O'Malley K. Dippers and non-dippers. Lancet. 1988;2:397. doi: 10.1016/s0140-6736(88)92867-x. [DOI] [PubMed] [Google Scholar]
  • 29.Shimada K, Kawamoto A, Matsubayashi K, Nishinaga M, Kimura S, Ozawa T. Diurnal blood pressure variations and silent cerebrovascular damage in elderly patients with hypertension. J Hypertens. 1992;10:875–878. [PubMed] [Google Scholar]
  • 30.Kario K, Matsuo T, Kobayashi H, Imiya M, Matsuo M, Shimada K. Nocturnal fall of blood pressure and silent cerebrovascular damage in elderly hypertensive patients. Advanced silent cerebrovascular damage in extreme dippers. Hypertension. 1996;27:130–135. doi: 10.1161/01.hyp.27.1.130. [DOI] [PubMed] [Google Scholar]
  • 31.Kario K, Motai K, Mitsuhashi T, Suzuki T, Nakagawa Y, Ikeda U, et al. Autonomic nervous system dysfunction in elderly hypertensive patients with abnormal diurnal blood pressure variation: relation to silent cerebrovascular disease. Hypertension. 1997;30:1504–1510. doi: 10.1161/01.hyp.30.6.1504. [DOI] [PubMed] [Google Scholar]
  • 32.Stolarz K, Staessen JA, O'Brien ET. Night-time blood pressure: dipping into the future? J Hypertens. 2002;20:2131–2133. doi: 10.1097/00004872-200211000-00006. [DOI] [PubMed] [Google Scholar]
  • 33.Cuspidi C, Meani S, Salerno M, Valerio C, Fusi V, Severgnini B, et al. Cardiovascular target organ damage in essential hypertensives with or without reproducible nocturnal fall in blood pressure. J Hypertens. 2004;22:273–280. doi: 10.1097/00004872-200402000-00010. [DOI] [PubMed] [Google Scholar]
  • 34.Staessen JA, Thijs L, Fagard R, O'Brien ET, Clement D, de Leeuw PW, et al. Predicting cardiovascular risk using conventional vs ambulatory blood pressure in older patients with systolic hypertension. Systolic Hypertension in Europe Trial Investigators. JAMA. 1999;282:539–546. doi: 10.1001/jama.282.6.539. [DOI] [PubMed] [Google Scholar]
  • 35.Verdecchia P, Porcellati C, Schillaci G, Borgioni C, Ciucci A, Battistelli M, et al. Ambulatory blood pressure. An independent predictor of prognosis in essential hypertension. Hypertension. 1994;24:793–801. doi: 10.1161/01.hyp.24.6.793. [DOI] [PubMed] [Google Scholar]
  • 36.Kario K, Pickering TG, Matsuo T, Hoshide S, Schwartz JE, Shimada K. Stroke prognosis and abnormal nocturnal blood pressure falls in older hypertensives. Hypertension. 2001;38:852–857. doi: 10.1161/hy1001.092640. [DOI] [PubMed] [Google Scholar]
  • 37.Pickering T, Schwartz J, Verdecchia P, Imai Y, Kario K, Eguchi K, et al. Prediction of strokes versus cardiac events by ambulatory monitoring of blood pressure: results from an international database. Blood Press Monit. 2007;12:397–399. doi: 10.1097/MBP.0b013e3282411a12. [DOI] [PubMed] [Google Scholar]
  • 38.Ohkubo T, Hozawa A, Yamaguchi J, Kikuya M, Ohmori K, Michimata M, et al. Prognostic significance of the nocturnal decline in blood pressure in individuals with and without high 24-h blood pressure: the Ohasama study. J Hypertens. 2002;20:2183–2189. doi: 10.1097/00004872-200211000-00017. [DOI] [PubMed] [Google Scholar]
  • 39.Boggia J, Thijs L, Hansen TW, Li Y, Kikuya M, Bjorklund-Bodegard K, et al. Ambulatory blood pressure monitoring in 9357 subjects from 11 populations highlights missed opportunities for cardiovascular prevention in women. Hypertension. 2011;57:397–405. doi: 10.1161/HYPERTENSIONAHA.110.156828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Muxfeldt ES, Bloch KV, Nogueira Ada R, Salles GF. True resistant hypertension: is it possible to be recognized in the office? Am J Hypertens. 2005;18:1534–1540. doi: 10.1016/j.amjhyper.2005.06.013. [DOI] [PubMed] [Google Scholar]
  • 41.Mancia G, Zanchetti A. White-coat hypertension: misnomers, misconceptions and misunderstandings. What should we do next? J Hypertens. 1996;14:1049–1052. doi: 10.1097/00004872-199609000-00001. [DOI] [PubMed] [Google Scholar]
  • 42.Verdecchia P, Reboldi GP, Angeli F, Schillaci G, Schwartz JE, Pickering TG, et al. Short- and long-term incidence of stroke in white-coat hypertension. Hypertension. 2005;45:203–208. doi: 10.1161/01.HYP.0000151623.49780.89. [DOI] [PubMed] [Google Scholar]
  • 43.Franklin SS, Thijs L, Hansen TW, Li Y, Boggia J, Kikuya M, et al. Significance of white-coat hypertension in older persons with isolated systolic hypertension: a meta-analysis using the international database on ambulatory blood pressure monitoring in relation to cardiovascular outcomes population. Hypertension. 2012;59:564–571. doi: 10.1161/HYPERTENSIONAHA.111.180653. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Pierdomenico SD, Cuccurullo F. Prognostic value of white-coat and masked hypertension diagnosed by ambulatory monitoring in initially untreated subjects: an updated meta analysis. Am J Hypertens. 2011;24:52–58. doi: 10.1038/ajh.2010.203. [DOI] [PubMed] [Google Scholar]
  • 45.Fukuhara M, Arima H, Ninomiya T, Hata J, Hirakawa Y, Doi Y, et al. White-coat and masked hypertension are associated with carotid atherosclerosis in a general population: the Hisayama study. Stroke. 2013;44:1512–1517. doi: 10.1161/STROKEAHA.111.000704. [DOI] [PubMed] [Google Scholar]
  • 46.Mancia G, Facchetti R, Bombelli M, Grassi G, Sega R. Long-term risk of mortality associated with selective and combined elevation in office, home, and ambulatory blood pressure. Hypertension. 2006;47:846–853. doi: 10.1161/01.HYP.0000215363.69793.bb. [DOI] [PubMed] [Google Scholar]
  • 47.Mancia G, Bombelli M, Facchetti R, Madotto F, Corrao G, Trevano FQ, et al. Long-term prognostic value of blood pressure variability in the general population: results of the Pressioni Arteriose Monitorate e Loro Associazioni Study. Hypertension. 2007;49:1265–1270. doi: 10.1161/HYPERTENSIONAHA.107.088708. [DOI] [PubMed] [Google Scholar]
  • 48.Beckett NS, Peters R, Fletcher AE, Staessen JA, Liu L, Dumitrascu D, et al. Treatment of hypertension in patients 80 years of age or older. N Engl J Med. 2008;358:1887–1898. doi: 10.1056/NEJMoa0801369. [DOI] [PubMed] [Google Scholar]
  • 49.Bulpitt CJ, Beckett N, Peters R, Staessen JA, Wang JG, Comsa M, et al. Does white coat hypertension require treatment over age 80?: results of the hypertension in the very elderly trial ambulatory blood pressure side project. Hypertension. 2013;61:89–94. doi: 10.1161/HYPERTENSIONAHA.112.191791. [DOI] [PubMed] [Google Scholar]
  • 50.Pickering TG, Davidson K, Gerin W, Schwartz JE. Masked hypertension. Hypertension. 2002;40:795–796. doi: 10.1161/01.hyp.0000038733.08436.98. [DOI] [PubMed] [Google Scholar]
  • 51.Verberk WJ, Kessels AG, de Leeuw PW. Prevalence, causes, and consequences of masked hypertension: a meta-analysis. Am J Hypertens. 2008;21:969–975. doi: 10.1038/ajh.2008.221. [DOI] [PubMed] [Google Scholar]
  • 52.Ogedegbe G, Agyemang C, Ravenell JE. Masked hypertension: evidence of the need to treat. Curr Hypertens Rep. 2010;12:349–355. doi: 10.1007/s11906-010-0140-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Ogedegbe G. Causal mechanisms of masked hypertension: socio-psychological aspects. Blood Press Monit. 2010;15:90–92. doi: 10.1097/MBP.0b013e3283380df5. [DOI] [PubMed] [Google Scholar]
  • 54.Angeli F, Reboldi G, Verdecchia P. Masked hypertension: evaluation, prognosis, and treatment. Am J Hypertens. 2010;23:941–948. doi: 10.1038/ajh.2010.112. [DOI] [PubMed] [Google Scholar]
  • 55.Aksoy I, Deinum J, Lenders JW, Thien T. Does masked hypertension exist in healthy volunteers and apparently well-controlled hypertensive patients? Neth J Med. 2006;64:72–77. [PubMed] [Google Scholar]
  • 56.Verberk W, Kroon AA, de Leeuw PW. Masked hypertension and white-coat hypertension prognosis. J Am Coll Cardiol. 2006;47:2127. doi: 10.1016/j.jacc.2006.02.036. [DOI] [PubMed] [Google Scholar]
  • 57.Kotsis V, Stabouli S, Toumanidis S, Papamichael C, Lekakis J, Germanidis G, et al. Target organ damage in "white coat hypertension" and "masked hypertension". Am J Hypertens. 2008;21:393–399. doi: 10.1038/ajh.2008.15. [DOI] [PubMed] [Google Scholar]
  • 58.Matsui Y, Eguchi K, Ishikawa J, Hoshide S, Shimada K, Kario K. Subclinical arterial damage in untreated masked hypertensive subjects detected by home blood pressure measurement. Am J Hypertens. 2007;20:385–391. doi: 10.1016/j.amjhyper.2006.10.008. [DOI] [PubMed] [Google Scholar]
  • 59.Franklin SS, Thijs L, Li Y, Hansen TW, Boggia J, Liu Y, et al. Masked hypertension in diabetes mellitus: treatment implications for clinical practice. Hypertension. 2013;61:964–971. doi: 10.1161/HYPERTENSIONAHA.111.00289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.White WB, Maraka S. Is it possible to manage hypertension and evaluate therapy without ambulatory blood pressure monitoring? Curr Hypertens Rep. 2012;14:366–373. doi: 10.1007/s11906-012-0277-4. [DOI] [PubMed] [Google Scholar]
  • 61.Muller JE, Mangel B. Circadian variation and triggers of cardiovascular disease. Cardiology. 1994;85(Suppl 2):3–10. doi: 10.1159/000177040. [DOI] [PubMed] [Google Scholar]
  • 62.Elliott WJ. Circadian variation in the timing of stroke onset: a meta-analysis. Stroke. 1998;29:992–996. doi: 10.1161/01.str.29.5.992. [DOI] [PubMed] [Google Scholar]
  • 63.Casetta I, Granieri E, Fallica E, la Cecilia O, Paolino E, Manfredini R. Patient demographic and clinical features and circadian variation in onset of ischemic stroke. Arch Neurol. 2002;59:48–53. doi: 10.1001/archneur.59.1.48. [DOI] [PubMed] [Google Scholar]
  • 64.Gur AY, Bornstein NM. Are there any unique epidemiological and vascular risk factors for ischaemic strokes that occur in the morning hours? Eur J Neurol. 2000;7:179–181. doi: 10.1046/j.1468-1331.2000.00010.x. [DOI] [PubMed] [Google Scholar]
  • 65.Ainslie PN, Murrell C, Peebles K, Swart M, Skinner MA, Williams MJ, et al. Early morning impairment in cerebral autoregulation and cerebrovascular CO2 reactivity in healthy humans: relation to endothelial function. Exp Physiol. 2007;92:769–777. doi: 10.1113/expphysiol.2006.036814. [DOI] [PubMed] [Google Scholar]
  • 66.Atkinson G, Jones H, Ainslie PN. Circadian variation in the circulatory responses to exercise: relevance to the morning peaks in strokes and cardiac events. Eur J Appl Physiol. 2010;108:15–29. doi: 10.1007/s00421-009-1243-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Scheer FA, Hu K, Evoniuk H, Kelly EE, Malhotra A, Hilton MF, et al. Impact of the human circadian system, exercise, and their interaction on cardiovascular function. Proc Natl Acad Sci U S A. 2010;107:20541–20546. doi: 10.1073/pnas.1006749107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Kario K. Morning surge in blood pressure and cardiovascular risk: evidence and perspectives. Hypertension. 2010;56:765–773. doi: 10.1161/HYPERTENSIONAHA.110.157149. [DOI] [PubMed] [Google Scholar]
  • 69.Soylu A, Yazici M, Duzenli MA, Tokac M, Ozdemir K, Gok H. Relation between abnormalities in circadian blood pressure rhythm and target organ damage in normotensives. Circ J. 2009;73:899–904. doi: 10.1253/circj.cj-08-0946. [DOI] [PubMed] [Google Scholar]
  • 70.Caramori ML, Pecis M, Azevedo MJ. Increase in nocturnal blood pressure and progression to microalbuminuria in diabetes. N Engl J Med. 2003;348:260–264. [PubMed] [Google Scholar]
  • 71.Polonia J, Amado P, Barbosa L, Nazare J, Silva JA, Bertoquini S, et al. Morning rise, morning surge and daytime variability of blood pressure and cardiovascular target organ damage. A cross-sectional study in 743 subjects. Rev Port Cardiol. 2005;24:65–78. [PubMed] [Google Scholar]
  • 72.Sanchez Gelos DF, Otero-Losada ME, Azzato F, Milei J. Morning surge, pulse wave velocity, and autonomic function tests in elderly adults. Blood Press Monit. 2012;17:103–109. doi: 10.1097/MBP.0b013e3283532d40. [DOI] [PubMed] [Google Scholar]
  • 73.Murakami S, Otsuka K, Kubo Y, Shinagawa M, Yamanaka T, Ohkawa S, et al. Repeated ambulatory monitoring reveals a Monday morning surge in blood pressure in a community-dwelling population. Am J Hypertens. 2004;17:1179–1183. doi: 10.1016/j.amjhyper.2004.07.016. [DOI] [PubMed] [Google Scholar]
  • 74.Kario K. Caution for winter morning surge in blood pressure: a possible link with cardiovascular risk in the elderly. Hypertension. 2006;47:139–140. doi: 10.1161/01.HYP.0000199162.89857.7a. [DOI] [PubMed] [Google Scholar]
  • 75.Kario K, Pickering TG, Umeda Y, Hoshide S, Hoshide Y, Morinari M, et al. Morning surge in blood pressure as a predictor of silent and clinical cerebrovascular disease in elderly hypertensives: a prospective study. Circulation. 2003;107:1401–1406. doi: 10.1161/01.cir.0000056521.67546.aa. [DOI] [PubMed] [Google Scholar]
  • 76.Pierdomenico SD, Pierdomenico AM, Cuccurullo F. Morning Blood Pressure Surge, Dipping, and Risk of Ischemic Stroke in Elderly Patients Treated for Hypertension. Am J Hypertens. 2013. [DOI] [PubMed]
  • 77.Wizner B, Dechering DG, Thijs L, Atkins N, Fagard R, O'Brien E, et al. Short-term and long-term repeatability of the morning blood pressure in older patients with isolated systolic hypertension. J Hypertens. 2008;26:1328–1335. doi: 10.1097/HJH.0b013e3283013b59. [DOI] [PubMed] [Google Scholar]
  • 78.Stergiou GS, Mastorantonakis SE, Roussias LG. Morning blood pressure surge: the reliability of different definitions. Hypertens Res. 2008;31:1589–1594. doi: 10.1291/hypres.31.1589. [DOI] [PubMed] [Google Scholar]
  • 79.Kario K, Hoshide S, Shimizu M, Yano Y, Eguchi K, Ishikawa J, et al. Effect of dosing time of angiotensin II receptor blockade titrated by self-measured blood pressure recordings on cardiorenal protection in hypertensives: the Japan Morning Surge-Target Organ Protection (J-TOP) study. J Hypertens. 2010;28:1574–1583. doi: 10.1097/HJH.0b013e3283395267. [DOI] [PubMed] [Google Scholar]
  • 80.Kario K, Matsui Y, Shibasaki S, Eguchi K, Ishikawa J, Hoshide S, et al. An alpha-adrenergic blocker titrated by self-measured blood pressure recordings lowered blood pressure and microalbuminuria in patients with morning hypertension: the Japan Morning Surge-1 Study. J Hypertens. 2008;26:1257–1265. doi: 10.1097/HJH.0b013e3282fd173c. [DOI] [PubMed] [Google Scholar]
  • 81.Black HR, Elliott WJ, Grandits G, Grambsch P, Lucente T, White WB, et al. Principal results of the Controlled Onset Verapamil Investigation of Cardiovascular End Points (CONVINCE) trial. JAMA. 2003;289:2073–2082. doi: 10.1001/jama.289.16.2073. [DOI] [PubMed] [Google Scholar]
  • 82.Parati G, Liu X, Ochoa JE, Bilo G. Prognostic relevance of blood pressure variability: role of long-term and very long-term blood pressure changes. Hypertension. 2013;62:682–684. doi: 10.1161/HYPERTENSIONAHA.113.01801. [DOI] [PubMed] [Google Scholar]
  • 83.Stolarz-Skrzypek K, Thijs L, Li Y, Hansen TW, Boggia J, Kuznetsova T, et al. Short-term blood pressure variability in relation to outcome in the International Database of Ambulatory blood pressure in relation to Cardiovascular Outcome (IDACO) Acta Cardiol. 2011;66:701–706. doi: 10.1080/ac.66.6.2136952. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Kikuya M, Ohkubo T, Metoki H, Asayama K, Hara A, Obara T, et al. Day-by-day variability of blood pressure and heart rate at home as a novel predictor of prognosis: the Ohasama study. Hypertension. 2008;52:1045–1050. doi: 10.1161/HYPERTENSIONAHA.107.104620. [DOI] [PubMed] [Google Scholar]
  • 85.Asayama K, Kikuya M, Schutte R, Thijs L, Hosaka M, Satoh M, et al. Home blood pressure variability as cardiovascular risk factor in the population of Ohasama. Hypertension. 2013;61:61–69. doi: 10.1161/HYPERTENSIONAHA.111.00138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Muntner P, Shimbo D, Diaz KM, Newman J, Sloan RP, Schwartz, JE. Low correlation between visit-to-visit variability and 24-h variability of blood pressure. Hypertens Res. 2013. [DOI] [PMC free article] [PubMed]
  • 87.Menni C, Mangino M, Zhang F, Clement G, Snieder H, Padmanabhan S, Spector TD. Heritability analyses show visit-to-visit blood pressure variability reflects different pathological phenotypes in younger and older adults: evidence from UK twins. J Hypertens. [DOI] [PubMed]
  • 88.Mancia G, Grassi G. Mechanisms and clinical implications of blood pressure variability. J Cardiovasc Pharmacol. 2000;35:S15–S19. doi: 10.1097/00005344-200000004-00003. [DOI] [PubMed] [Google Scholar]
  • 89.Ekbom T, Dahlof B, Hansson L, Lindholm LH, Oden A, Schersten B, et al. The stroke preventive effect in elderly hypertensives cannot fully be explained by the reduction in office blood pressure–insights from the Swedish Trial in Old Patients with Hypertension (STOP-Hypertension) Blood Press. 1992;1:168–172. doi: 10.3109/08037059209077513. [DOI] [PubMed] [Google Scholar]
  • 90.Rothwell PM, Howard SC, Dolan E, O'Brien E, Dobson JE, Dahlof B, et al. Prognostic significance of visit-to-visit variability, maximum systolic blood pressure, and episodic hypertension. Lancet. 2010;375:895–905. doi: 10.1016/S0140-6736(10)60308-X. [DOI] [PubMed] [Google Scholar]
  • 91.Dahlof B, Sever PS, Poulter NR, Wedel H, Beevers DG, Caulfield M, et al. Prevention of cardiovascular events with an antihypertensive regimen of amlodipine adding perindopril as required versus atenolol adding bendroflumethiazide as required, in the Anglo-Scandinavian Cardiac Outcomes Trial-Blood Pressure Lowering Arm (ASCOT-BPLA): a multicentre randomised controlled trial. Lancet. 2005;366:895–906. doi: 10.1016/S0140-6736(05)67185-1. [DOI] [PubMed] [Google Scholar]
  • 92.Webb AJ, Fischer U, Mehta Z, Rothwell PM. Effects of antihypertensive-drug class on interindividual variation in blood pressure and risk of stroke: a systematic review and meta-analysis. Lancet. 2010;375:906–915. doi: 10.1016/S0140-6736(10)60235-8. [DOI] [PubMed] [Google Scholar]
  • 93.Muntner P, Shimbo D, Tonelli M, Reynolds K, Arnett DK, Oparil S. The relationship between visit-to-visit variability in systolic blood pressure and all-cause mortality in the general population: findings from NHANES III, 1988 to 1994. Hypertension. 2011;57:160–166. doi: 10.1161/HYPERTENSIONAHA.110.162255. [DOI] [PubMed] [Google Scholar]
  • 94.Mancia G, Facchetti R, Parati G, Zanchetti A. Visit-to-visit blood pressure variability, carotid atherosclerosis, and cardiovascular events in the European Lacidipine Study on Atherosclerosis. Circulation. 2012;126:569–578. doi: 10.1161/CIRCULATIONAHA.112.107565. [DOI] [PubMed] [Google Scholar]
  • 95.Hastie CE, Jeemon P, Coleman H, McCallum L, Patel R, Dawson J, et al. Long-term and ultra long-term blood pressure variability during follow-up and mortality in 14 522 patients with hypertension. Hypertension. 2013;62:698–705. doi: 10.1161/HYPERTENSIONAHA.113.01343. [DOI] [PubMed] [Google Scholar]
  • 96.Webb AJ, Rothwell PM. Blood pressure variability and risk of new-onset atrial fibrillation: a systematic review of randomized trials of antihypertensive drugs. Stroke. 2010;41:2091–2093. doi: 10.1161/STROKEAHA.110.589531. [DOI] [PubMed] [Google Scholar]
  • 97.Howard SC, Rothwell PM. Reproducibility of measures of visit-to-visit variability in blood pressure after transient ischaemic attack or minor stroke. Cerebrovasc Dis. 2009;28:331–340. doi: 10.1159/000229551. [DOI] [PubMed] [Google Scholar]
  • 98.Muntner P, Joyce C, Levitan EB, Holt E, Shimbo D, Webber LS, et al. Reproducibility of visit-to-visit variability of blood pressure measured as part of routine clinical care. J Hypertens. 2011;29:2332–2338. doi: 10.1097/HJH.0b013e32834cf213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Lawes CM, Bennett DA, Feigin VL, Rodgers A. Blood pressure and stroke: an overview of published reviews. Stroke. 2004;35:1024. [PubMed] [Google Scholar]
  • 100.Law MR, Morris JK, Wald NJ. Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies. BMJ. 2009;338:b1665. doi: 10.1136/bmj.b1665. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Banach M, Aronow WS. Blood pressure j-curve: current concepts. Curr Hypertens Rep. 2012;14:556–566. doi: 10.1007/s11906-012-0314-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Group, A.S., Cushman, W.C., Evans, G.W., Byington, R.P., Goff, D.C., Jr., Grimm, R.H., Jr., Cutler, J.A., Simons-Morton, D.G., Basile, J.N., Corson, M.A., et al Effects of intensive blood-pressure control in type 2 diabetes mellitus. N Engl J Med. 2010;362:1575–1585. doi: 10.1056/NEJMoa1001286. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Verdecchia P, Staessen JA, Angeli F, de Simone G, Achilli A, Ganau A, et al. Usual versus tight control of systolic blood pressure in non-diabetic patients with hypertension (Cardio-Sis): an open-label randomised trial. Lancet. 2009;374:525–533. doi: 10.1016/S0140-6736(09)61340-4. [DOI] [PubMed] [Google Scholar]
  • 104.Lee M, Saver JL, Hong KS, Hao Q, Ovbiagele B. Does achieving an intensive versus usual blood pressure level prevent stroke? Ann Neurol. 2012;71:133–140. doi: 10.1002/ana.22496. [DOI] [PubMed] [Google Scholar]
  • 105.Reboldi G, Gentile G, Angeli F, Ambrosio G, Mancia G, Verdecchia P. Effects of intensive blood pressure reduction on myocardial infarction and stroke in diabetes: a meta-analysis in 73,913 patients. J Hypertens. 2011;29:1253–1269. doi: 10.1097/HJH.0b013e3283469976. [DOI] [PubMed] [Google Scholar]
  • 106.Wiysonge CS, Bradley HA, Volmink J, Mayosi BM, Mbewu A, Opie LH. Beta-blockers for hypertension. Cochrane Database Syst Rev. 2012;11:CD002003. doi: 10.1002/14651858.CD002003.pub4. [DOI] [PubMed] [Google Scholar]
  • 107.Williams B, Lacy PS, Thom SM, Cruickshank K, Stanton A, Collier D, et al. Differential impact of blood pressure-lowering drugs on central aortic pressure and clinical outcomes: principal results of the Conduit Artery Function Evaluation (CAFE) study. Circulation. 2006;113:1213–1225. doi: 10.1161/CIRCULATIONAHA.105.595496. [DOI] [PubMed] [Google Scholar]
  • 108.Hansson L, Hedner T, Lund-Johansen P, Kjeldsen SE, Lindholm LH, Syvertsen JO, et al. Randomised trial of effects of calcium antagonists compared with diuretics and beta-blockers on cardiovascular morbidity and mortality in hypertension: the Nordic Diltiazem (NORDIL) study. Lancet. 2000;356:359–365. doi: 10.1016/s0140-6736(00)02526-5. [DOI] [PubMed] [Google Scholar]
  • 109.Ding FH, Li Y, Li LH, Wang JG. Impact of heart rate on central hemodynamics and stroke: a meta-analysis of beta-blocker trials. Am J Hypertens. 2013;26:118–125. doi: 10.1093/ajh/hps003. [DOI] [PubMed] [Google Scholar]
  • 110.Siebert J, Gutknecht P, Molisz A, Trzeciak B, Nyka W. Hemodynamic findings in patients with brain stroke. Arch Med Sci. 2012;8:371–374. doi: 10.5114/aoms.2012.28567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Reboldi G, Angeli F, Cavallini C, Gentile G, Mancia G, Verdecchia P. Comparison between angiotensin-converting enzyme inhibitors and angiotensin receptor blockers on the risk of myocardial infarction, stroke and death: a meta-analysis. J Hypertens. 2008;26:1282–1289. doi: 10.1097/HJH.0b013e328306ebe2. [DOI] [PubMed] [Google Scholar]
  • 112.Rothwell PM, Howard SC, Dolan E, O'Brien E, Dobson JE, Dahlof B, et al. Effects of beta blockers and calcium-channel blockers on within-individual variability in blood pressure and risk of stroke. Lancet Neurol. 2010;9:469–480. doi: 10.1016/S1474-4422(10)70066-1. [DOI] [PubMed] [Google Scholar]
  • 113.Webb AJ, Rothwell PM. Effect of dose and combination of antihypertensives on interindividual blood pressure variability: a systematic review. Stroke. 2011;42:2860–2865. doi: 10.1161/STROKEAHA.110.611566. [DOI] [PubMed] [Google Scholar]
  • 114.Webb AJ, Fischer U, Rothwell PM. Effects of beta-blocker selectivity on blood pressure variability and stroke: a systematic review. Neurology. 2011;77:731–737. doi: 10.1212/WNL.0b013e31822b007a. [DOI] [PubMed] [Google Scholar]
  • 115.Webb AJ, Rothwell PM. The effect of antihypertensive treatment on headache and blood pressure variability in randomized controlled trials: a systematic review. J Neurol. 2012;259:1781–1787. doi: 10.1007/s00415-012-6449-y. [DOI] [PubMed] [Google Scholar]
  • 116.Banach M, Bromfield S, Howard G, Howard VJ, Zanchetti A, Aronow WS, Ahmed A, Safford MM, Muntner P. 2013. Optimal blood pressure levels in elderly persons in the reasons for geographic and racial differences in stroke (REGARDS) cohort study.Clinical Trial Update Hot Line III Session. Updates on Risk and Outcome, European Society of Cardiology (ESC) Annual Congress 2013 in Amsterdam, 30th August - 4th September 2013.
  • 117.Schrier RW, Estacio RO, Esler A, Mehler P. Effects of aggressive blood pressure control in normotensive type 2 diabetic patients on albuminuria, retinopathy and strokes. Kidney Int. 2002;61:1086–1097. doi: 10.1046/j.1523-1755.2002.00213.x. [DOI] [PubMed] [Google Scholar]
  • 118.Patel A, MacMahon S, Chalmers J, Neal B, Woodward M, Billot L, et al. Effects of a fixed combination of perindopril and indapamide on macrovascular and microvascular outcomes in patients with type 2 diabetes mellitus (the ADVANCE trial): a randomised controlled trial. Lancet. 2007;370:829–840. doi: 10.1016/S0140-6736(07)61303-8. [DOI] [PubMed] [Google Scholar]
  • 119.Parry CA. Australian therapeutic trial in mild hypertension. Lancet. 1980;2:425. doi: 10.1016/s0140-6736(80)90471-7. [DOI] [PubMed] [Google Scholar]
  • 120.Hannson L. The BBB Study: the effect of intensified antihypertensive treatment on the level of blood pressure, side-effects, morbidity and mortality in "well-treated" hypertensive patients. Behandla Blodtryck Battre. Blood Press. 1994;3:248–254. doi: 10.3109/08037059409102265. [DOI] [PubMed] [Google Scholar]
  • 121.Hansson L, Lindholm LH, Niskanen L, Lanke J, Hedner T, Niklason A, et al. Effect of angiotensin-converting-enzyme inhibition compared with conventional therapy on cardiovascular morbidity and mortality in hypertension: the Captopril Prevention Project (CAPPP) randomised trial. Lancet. 1999;353:611–616. doi: 10.1016/s0140-6736(98)05012-0. [DOI] [PubMed] [Google Scholar]
  • 122.Bosch J, Yusuf S, Gerstein HC, Pogue J, Sheridan P, Dagenais G, et al. Effect of ramipril on the incidence of diabetes. N Engl J Med. 2006;355:1551–1562. doi: 10.1056/NEJMoa065061. [DOI] [PubMed] [Google Scholar]
  • 123.Amery A, Birkenhager W, Brixko P, Bulpitt C, Clement D, Deruyttere M, et al. Mortality and morbidity results from the European Working Party on High Blood Pressure in the Elderly trial. Lancet. 1985;1:1349–1354. doi: 10.1016/s0140-6736(85)91783-0. [DOI] [PubMed] [Google Scholar]
  • 124.Liu L, Zhang Y, Liu G, Li W, Zhang X, Zanchetti A. The Felodipine Event Reduction (FEVER) Study: a randomized long-term placebo-controlled trial in Chinese hypertensive patients. J Hypertens. 2005;23:2157–2172. doi: 10.1097/01.hjh.0000194120.42722.ac. [DOI] [PubMed] [Google Scholar]
  • 125.Coope J, Warrender TS. Randomised trial of treatment of hypertension in elderly patients in primary care. Br Med J (Clin Res Ed) 1986;293:1145–1151. doi: 10.1136/bmj.293.6555.1145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Five-year findings of the hypertension detection and follow-up program. I. Reduction in mortality of persons with high blood pressure, including mild hypertension. Hypertension detection and follow-up program cooperative group. JAMA. 1979;242:2562-2571. [PubMed]
  • 127.Five-year findings of the hypertension detection and follow-up program. III. Reduction in stroke incidence among persons with high blood pressure. Hypertension detection and follow-up program cooperative group. JAMA. 1982;247:633-638. [PubMed]
  • 128.Therapeutic control of blood pressure in the Hypertension Detection and Follow-up Program. Hypertension Detection and Follow-up Program Cooperative Group. Prev Med. 1979;8:2-13. [DOI] [PubMed]
  • 129.Hansson L, Zanchetti A, Carruthers SG, Dahlof B, Elmfeldt D, Julius S, et al. Effects of intensive blood-pressure lowering and low-dose aspirin in patients with hypertension: principal results of the Hypertension Optimal Treatment (HOT) randomised trial. HOT Study Group. Lancet. 1998;351:1755–1762. doi: 10.1016/s0140-6736(98)04311-6. [DOI] [PubMed] [Google Scholar]
  • 130.Sun M, Zhou H, Jia Z. Prevention and treatment of stroke after hypertension for ten years in Hunan Province. Zhonghua Nei Ke Za Zhi. 1997;36:312–314. [PubMed] [Google Scholar]
  • 131.Bulpitt CJ, Beckett NS, Cooke J, Dumitrascu DL, Gil-Extremera B, Nachev C, et al. Results of the pilot study for the hypertension in the very elderly trial. J Hypertens. 2003;21:2409–2417. doi: 10.1097/00004872-200312000-00030. [DOI] [PubMed] [Google Scholar]
  • 132.Dahlof B, Devereux RB, Kjeldsen SE, Julius S, Beevers G, de Faire U, et al. 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. doi: 10.1016/S0140-6736(02)08089-3. [DOI] [PubMed] [Google Scholar]
  • 133.MRC trial of treatment of mild hypertension: principal results. Medical research council working party. Br Med J (Clin Res Ed). 1985;291:97-104. [DOI] [PMC free article] [PubMed]
  • 134.Medical Research Council trial of treatment of hypertension in older adults: principal results. MRC working party. BMJ. 1992; 04:405-412. [DOI] [PMC free article] [PubMed]
  • 135.Helgeland A. Treatment of mild hypertension: a five year controlled drug trial. The Oslo study. Am J Med. 1980;69:725–732. doi: 10.1016/0002-9343(80)90438-6. [DOI] [PubMed] [Google Scholar]
  • 136.Asselbergs FW, Diercks GF, Hillege HL, van Boven AJ, Janssen WM, Voors AA, et al. Effects of fosinopril and pravastatin on cardiovascular events in subjects with microalbuminuria. Circulation. 2004;110:2809–2816. doi: 10.1161/01.CIR.0000146378.65439.7A. [DOI] [PubMed] [Google Scholar]
  • 137.Perry HM, Jr, Smith WM, McDonald RH, Black D, Cutler JA, Furberg CD, et al. Morbidity and mortality in the Systolic Hypertension in the Elderly Program (SHEP) pilot study. Stroke. 1989;20:4–13. doi: 10.1161/01.str.20.1.4. [DOI] [PubMed] [Google Scholar]
  • 138.Prevention of stroke by antihypertensive drug treatment in older persons with isolated systolic hypertension. Final results of the Systolic Hypertension in the Elderly Program (SHEP). SHEP Cooperative Research Group. JAMA. 1991;265:3255-3264. [PubMed]
  • 139.Dahlof B, Lindholm LH, Hansson L, Schersten B, Ekbom T, Wester PO. Morbidity and mortality in the Swedish Trial in Old Patients with Hypertension (STOP-Hypertension) Lancet. 1991;338:1281–1285. doi: 10.1016/0140-6736(91)92589-t. [DOI] [PubMed] [Google Scholar]
  • 140.Hansson L, Lindholm LH, Ekbom T, Dahlof B, Lanke J, Schersten B, et al. Randomised trial of old and new antihypertensive drugs in elderly patients: cardiovascular mortality and morbidity the Swedish Trial in Old Patients with Hypertension-2 study. Lancet. 1999;354:1751–1756. doi: 10.1016/s0140-6736(99)10327-1. [DOI] [PubMed] [Google Scholar]
  • 141.Staessen JA, Fagard R, Thijs L, Celis H, Arabidze GG, Birkenhager WH, et al. Randomised double-blind comparison of placebo and active treatment for older patients with isolated systolic hypertension. The Systolic Hypertension in Europe (Syst-Eur) Trial Investigators. Lancet. 1997;350:757–764. doi: 10.1016/s0140-6736(97)05381-6. [DOI] [PubMed] [Google Scholar]
  • 142.Liu L, Wang JG, Gong L, Liu G, Staessen JA. Comparison of active treatment and placebo in older Chinese patients with isolated systolic hypertension. Systolic Hypertension in China (Syst-China) Collaborative Group. J Hypertens. 1998;16:1823–1829. doi: 10.1097/00004872-199816120-00016. [DOI] [PubMed] [Google Scholar]
  • 143.Neaton JD, Grimm RH, Jr, Prineas RJ, Stamler J, Grandits GA, Elmer PJ, et al. Treatment of Mild Hypertension Study. Final results. Treatment of Mild Hypertension Study Research Group. JAMA. 1993;270:713–724. [PubMed] [Google Scholar]
  • 144.Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. UK prospective diabetes study group. BMJ. 1998;317:703-713. [PMC free article] [PubMed]
  • 145.Efficacy of atenolol and captopril in reducing risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 39. UK prospective diabetes study group. BMJ. 1998;317:713-720. [PMC free article] [PubMed]
  • 146.Smith WM. Treatment of mild hypertension: results of a ten-year intervention trial. Circ Res. 1977;40:I98–I105. [PubMed] [Google Scholar]
  • 147.Effects of treatment on morbidity in hypertension. Results in patients with diastolic blood pressures averaging 115 through 129 mm Hg. JAMA. 1967;202:1028-1034. [PubMed]
  • 148.Effects of treatment on morbidity in hypertension. II. Results in patients with diastolic blood pressure averaging 90 through 114 mm Hg. JAMA. 1970;213:1143-1152. [PubMed]
  • 149.Evaluation of drug treatment in mild hypertension: VA-NHLBI feasibility trial. Plan and preliminary results of a two-year feasibility trial for a multicenter intervention study to evaluate the benefits versus the disadvantages of treating mild hypertension. Prepared for the Veterans Administration-National Heart, Lung, and Blood Institute Study Group for Evaluating Treatment in Mild Hypertension. Annals of the New York Academy of Sciences. 1978;304:267-292. [DOI] [PubMed]

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