1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Conclusions
  7. Acknowledgments
  8. References

J Clin Hypertens (Greenwich). 2011;13:582–587. ©2011 Wiley Periodicals, Inc.

Cerebral microangiopathy is a cause of cognitive impairment and indicates high risk for clinically overt cerebrovascular disease. It develops in patients with or without hypertension, and different pathologies may play a supporting role. In this pilot study, the authors aimed to elucidate risk factors contributing to the deleterious action of hypertension on cerebral small vessels. A cross-sectional study in 42 patients with treatment-resistant hypertension was performed. Microangiopathy was investigated by cerebral magnetic resonance imaging (MRI). Determinants were identified by clinical investigation, computed tomography, intima-media thickness and pulse wave velocity measurement, and urinary albumin excretion. Nineteen of 42 patients had cerebral microangiopathy (23 controls). Patients were different with respect to heart rate (60.5±10.2 vs 69.7±15.1 beats per minute; P=.029) and systolic blood pressure during nighttime (138±13 mm Hg vs 126±18 mm Hg; P=.019). In addition, there were significant differences in pulse wave velocity (10.7±2.0  m/s vs 9.4±1.4 m/s; P=.034), peripheral pulse pressure (70.8±16.3 mm Hg vs 59.2±13.6 mm Hg; P=.016), central pulse pressure (62.9±15.8 mm Hg vs 50.3±14.2 mm Hg; P=.012), and aortic augmentation pressure (15.9±6.0 vs 11.8±6.6; P=.040). Systolic blood pressure and signs of hypertensive vasculopathy such as peripheral and central pulse pressure and pulse wave velocity were associated with cerebral microangiopathy in patients with long-standing treatment-resistant hypertension.

Cerebral microangiopathy is commonly detected on magnetic resonance imaging (MRI) in elderly hypertensive patients and includes the very early stage of microvascular disease (white matter hyperintensities [WMHs] and lacunar infarctions). Smooth muscle hypertrophy, replacement by extracellular, matrix and enhanced small-vessel permeability are generally considered key pathogenetic features, with mural deposition of serum protein detectable specifically in areas of blood–brain barrier breakdown (hyaline arteriolosclerosis, lipohyalinosis). Cerebral microangiopathy identifies a group of individuals at high risk for clinically overt cerebrovascular disease.1 It also has been discussed to be a frequent cause of cognitive impairment and dementia in the elderly; however, the association between the extent of the disease as assessed by cross-sectional MRI studies and cognitive impairment has repeatedly been shown to be weak or even absent.2–4

Established risk factors are advancing age,5–7 cardiac disease,7 diabetes mellitus,8 and hypercholesterolemia.9 Hypertension is a further risk factor,5–7,10 which has been shown to be of particular importance because not only the initiation but also the progression of cerebral microangiopathy appears to depend on actual blood pressure (BP) readings. This was confirmed in the Austrian Stroke Prevention Study, in which the progression of WMHs in 273 clinically healthy patients was studied. A total of 45.1% patients in the group had hypertension with WMHs and 28.1% patients had hypertension without WMHs (P=.006). At 3-year follow-up WMHs were increased in 18% of patients, and the baseline degree of WMH and diastolic BP were the strongest determinants of progression.11 On the other hand, the data illustrate that hypertension is not a prerequisite for the development or progression of cerebral microangiopathy.11 This was also shown in a prior autopsy study in which cerebral small-vessel disease (usually manifested as concentric hyaline wall thickening but not lipohyalinosis and fibrinoid necrosis) was also present in patients who were nonelderly, nondiabetic, and nonhypertensive.12

Taken together, there appears to be a complex interrelationship between BP and a number of other risk factors contributing to cerebral microangiopathy. There is further possibility that different pathologies in patients with or without hypertension may play a supporting role. This is further complicated by the unknown threshold below which an impact of BP can certainly be ruled out and above which there is a definite impact. Because of these considerations, we focused on patients with long-standing uncontrolled hypertension (treatment-resistant hypertension) in this pilot study to gain an in-depth understanding of risk factors that contribute to the deleterious action of long-standing uncontrolled hypertension on cerebral small vessels.


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Conclusions
  7. Acknowledgments
  8. References

Study Population

Forty-two patients were recruited for this study by the clinical research competence center in Erlangen-Nürnberg ( All patients had treatment-resistant hypertension as defined by a casual BP of at least 140/90 mm Hg despite treatment with ≥3 antihypertensive agents including 1 diuretic agent. Secondary hypertension was excluded by patient history, laboratory analysis, and Doppler sonography for renal artery stenosis. If there were any uncertainties as to whether secondary hypertension could be present, the patient was not included in the study. All patients underwent an intensive screening for cardiovascular target organ damage. None of the patients had diabetes mellitus or recent cardiovascular events such as myocardial infarction, congestive heart failure, stroke or similar event.

The study was performed in adherence with the principles of the Declaration of Helsinki and according to good clinical practice standards. Before enrollment in the study, written informed consent was obtained from each participant. The study protocol was approved by the clinical investigations ethics committee of the University of Erlangen-Nürnberg, Germany.

BP Measurement

For casual and standing BP, a standardized sphygmomanometer was used, with the cuff size adjusted to the volunteer’s arm circumference. BP readings were computed as the mean of 3 consecutive measurements at each study visit, with the patient seated for 5 minutes. Ambulatory 24-hour BP measurements were performed by an automatic portable device (Spacelab No. 90207; Redmont, CA). Measurement intervals were 15 minutes during the day (7 am–10 pm) and 30 minutes during the night.

Treatment-resistant hypertension was defined by elevated BP readings despite the use of 3 antihypertensive drugs, including a diuretic, in combination with lifestyle measures.13

Cerebral Magnetic Resonance Imaging

Magnetic resonance images were acquired on a 3.0 Tesla scanner (Magnetom Tim Trio; Siemens Healthcare AG, Erlangen, Germany) using a standard protocol including axial fast fluid-attenuated inversion-recovery (FLAIR-), DWI- and GRE-, and T2-weighted sequences. All scans were reviewed by an experienced neuroradiologist (AD) unaware of the clinical or other information. Cerebral microangiopathy on conventional MRI was rated using a modification of the Fazekas scale,14 which was recently developed as part of a multinational European study on age-related white matter changes15 as follows: no WMHs/cerebral microangiopathy (grade 0), punctate (grade 1), early confluent (grade 2), and confluent (grade 3) WMH.

Cardiac MRI

Multiple breath-hold electrocardiographic-gated cine MRI in sequential 8-mm short-axis slices (no gap) were obtained with patients positioned supine in a 1.5-T MRI scanner (Gyroscan ACS/NT; Philips Medical Systems, Best, The Netherlands) using a commercial cardiac coil as described in detail.16,17 For image analysis, a commercially available work station (View Form; Philips Medical Systems) was used. Left ventricular (LV) mass was calculated by manual planimetry of the endocardial and epicardial borders of the LV myocardium on successive short-axis cine images at end-diastole as previously described by Olivotto and colleagues.16 Papillary muscles were excluded from the LV mass calculation. All measurements were performed by one experienced observer who was blinded to all clinical data, including age, weight, and sex of the patient.

CT Imaging for Coronary Calcification

For quantification of coronary artery calcification, multidetector computed tomography (CT) was performed with a 16-section scanner (Sensation 16; Siemens Medical Solutions, Forchheim, Germany). The scan protocol included the acquisition of a low-energy tomogram and a nonenhanced coronary calcification scan according to standard protocols as described in detail previously.18 Evaluation of the acquired transverse images was performed on an offline workstation (Leonardo; Siemens Medical Solutions) by an experienced observer (SA). The Agatston score was used to quantify the amount of coronary calcifications.19

Measurement of the Intima-Media Thickness

Intima-media thickness (IMT) measurements of the right and left common carotid artery were determined in the far walls according to the Mannheim Carotid Intima Media Thickness Consensus using a Siemens G60 S ultrasound machine (Siemens Healthcare AG) with 10 MHz-linear ultrasound transducer. For analysis, IMT values from the left and right side were averaged.20

Measurement of Pulse Wave Analysis

To derive the central arterial waveform, a validated system (Sphygmocor; AtCor Medical, Sydney, NSW, Australia) was used that employs high-fidelity applanation tonometry for noninvasive registration of peripheral arterial pressure waves and appropriate computer software for pressure wave analysis (Sphygmocor). Pressure calibration was accomplished through automatically, noninvasively obtained supine BP of the brachial artery of the dominant arm after a 30-minute rest (Dinamap Compact T; Johnson & Johnson Medical Ltd, Newport, UK). BP was measured 5 times during 10 minutes, and the mean of the last 3 measurements were taken for calibration.

Pressure wave recording was then performed at the radial artery of the same arm with the wrist gently hyperextended. The pressure wave was averaged from single pressure waves recorded consecutively for 8 seconds. Averaged pressure waves were accepted only if variation of peak and bottom pressures of single pressure waves was <5%. The central pressure wave was then automatically synthesized from the radial pressures by a built-in generalized transfer function. Prior to analysis, a visual check for correct detection of inflection points was performed in each radial and central pressure wave by an independent blinded investigator. From the derived central waveforms, data are given on central systolic BP (SBP) and diastolic BP (DBP), time to the first shoulder determined by the outgoing pressure wave (cP1), time to the second shoulder determined by the reflected pressure wave (cP2), either absolutely or as a percentage of ejection duration, as well as augmentation pressure as the pressure height difference between cP2−cP1, and cAI defined as: (pressure difference between cP2−cP1)/pulse pressure (PP).

Pulse Wave Velocity

Aortic pulse wave velocity (PWV) was determined using the foot-to-foot method as described previously.21 Pulse waveforms of the common carotid artery and the femoral artery were sequentially obtained and PWV was calculated as the distance between the suprasternal notch and the femoral artery recording site, divided by the time interval between the feet of the flow waves.

Urinary Albumin Excretion

Urinary albumin excretion was determined by 24-hour urine collection applying the standard laboratory method of nephelometry. For analysis, low-grade albuminuria was used with a threshold of 10 mg/d in men and 15 mg/d in women as previously described.22

Statistical Analysis

All statistical analyses were carried out using SPSS software (release 15.0; SPSS Inc, Chicago, IL). Results are given as mean±standard deviation for parametric data in the text and tables. Comparisons between groups were performed using Student t test for parametric and Mann–Whitney U test for nonparametric data (two-sided).


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Conclusions
  7. Acknowledgments
  8. References

Patient Characteristics

Baseline characteristics of the 42 patients are displayed in Table I. Nineteen patients had signs of cerebral microangiopathy and 23 patients served as controls. Patient groups were only nominally different with respect to age (mean 61.2±6.8 years vs 56.4±8.7 years; P=.062), but body mass index (28.4±2.8 vs 30.5±3.8; P=.048) and casual heart rate were lower in patients with cerebral microangiopathy (60.5±10.2 beats per minute vs 69.7±15.1 beat per minute; P=.029). Pharmacotherapy was largely comparable between patient groups. All patients received a blocker of the renin-angiotensin system and a diuretic (Table II). The third combination partner was either a calcium channel blocker or a β-blocker in both patient groups. Differences were nonsignificant.

Table I.   Patient Characteristics
 With Cerebral Microangiopathy (n=19), mean±SDWithout Cerebral Microangiopathy (n=23), mean±SDP Value
  1. Abbreviations: bpm, beats per minute; DBP, diastolic blood pressure; ECG, electrocardiogram; SBP, systolic blood pressure; SD, standard deviation.

Age, y61.2±6.856.4±8.7.062
Women, %
Height, cm174.8±7.5173.0±8.1.462
Weight, kg86.9±11.592.0±17.0.272
Body mass index, kg/m228.4±2.830.5±3.8.048
Waist circumference, cm102.4±8.8106.5±13.6.274
Hypertension duration, mo218±164156±98.138
Blood pressure
 Casual SBP,  mm Hg164.0±17.9154.7±19.4.115
 Casual DBP,  mm Hg94.7±11.594.2±11.6.887
 Casual heart  rate, bpm60.5±10.269.7±15.1.029
 Standing SBP,  mm Hg162.3±15.7154.2±17.5.123
 Standing DBP,  mm Hg95.8±8.495.4±11.9.890
 Standing heart  rate, bpm64.8±12.671.4±14.0.122
Heart rate (ECG) under resting and supine conditions57.6±10.760.7±10.1.331
Sokolow Lyon index, mV2.43±0.762.36±0.92.790
Table II.   Antihypertensive Pharmacotherapy
 With Cerebral Microangiopathy (n=19)Without Cerebral Microangiopathy (n=23)P Value
  1. Abbreviations: CCBs, calcium channel blockers; N/A, not applicable because of the study design; RAS, renin-angiotensin system.

RAS blockers, No. (%)19 (100)23 (100)N/A
Diuretics, No. (%)19 (100)23 (100)N/A
CCBs, No. (%)12 (63)15 (65)1.000
β-Blockers, No. (%)12 (63)16 (70).748
α-Antagonists, No. (%)4 (21)3 (13).682
Central sympatholytics, No. (%)5 (26)7 (30)1.000

24-Hour Ambulatory BP Measurement

Parameters obtained during 24-hour ambulatory BP measurement were comparable in both groups except for SBP during nighttime (Table III). This was higher in patients with microangiopathy (138±13 mm Hg) compared with patients without microangiopathy (126±18 mm Hg; P=.019).

Table III.   24-Hour Ambulatory BP
 With Cerebral Microangiopathy (n=19), %Without Cerebral Microangiopathy (n=23), %P Value
  1. Abbreviations: BP, blood pressure; bpm, beats per minute.

24-Hour BP
 Systolic, mm Hg145±11138±15.082
 Diastolic, mm Hg86±885±8.664
 Heart rate, bpm64±1069±10.117
 Systolic, mm Hg149±12143±15.177
 Diastolic, mm Hg89±9.588±8.3.778
 Heart rate, bpm66±1172±12.102
 Systolic, mm Hg138±13126±18.019
 Diastolic, mm Hg78±7.875±10.246
 Heart rate, bpm60±9.562±9.4.450

Cardiovascular Risk Factors and End Organ Damage

Additionally, a number of cardiovascular risk factors were determined (Table IV). The prevalence of these risk factors was not significantly different between groups; however, the number of pack-years of smoking was nominally higher in patients with cerebral microangiopathy (16.5±21.1 pack-years vs 9.4±14.6 pack-years) as were high-density lipoprotein cholesterol levels (62.0±16.3 mg/dL vs 54±9.4 mg/dL).

Table IV.   Cardiovascular Risk Factors
 With Cerebral Microangiopathy (n=19), mean±SDWithout Cerebral Microangiopathy (n=23), mean±SDP Value
  1. Abbreviations: eGFR, estimated glomerular filtration rate; HbA1c, glycated hemoglobin; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; PRA, plasma renin activity; RAS, renin-angiotensin system; SD, standard deviation. aCalculated with the Student t test unless indicated; Mann–Whitney U test.

 Pack, y16.5±21.19.4±14.6.135a
HbA1c, %5.51±0.295.66±0.29.102
Fasting glucose, mg/dL92±1694±12.765
Triglycerides, mg/dL140±54160±70.308
HDL-C, mg/dL62.0±16.353.8±9.4.047
LDL-C, mg/dL166±35149±32.119
Serum creatinine0.93±0.180.91±0.18.662
eGFR, mL/min/1.73 m288±1795±21.661
RAS parameters
 Serum aldosterone225±89204±97.475
 Renin concentration11.8±16.716.4±28.3.781a
 Aldosterone/renin  ratio134±40052±55.830a
 PRA, ng/mL/h1.37±2.51.67±3.0.243a
 Angiotensin II4.80±5.35.60±8.8.927a
24-Hour urine measurements
 Sodium excretion191±80213±59.464
 Albumin  excretion, g/d  (geometric mean)7.65±21.3710.21±16.1.445a

There were no differences in left or right ventricular mass, IMT, or the Agatston score (which quantifies coronary calcification) (Table V). On the other hand, there were significant differences in pulse wave velocity (10.7±1.96 m/s vs 9.39±1.39 m/s; P=.034), peripheral pulse pressure (70.8±16 mm Hg vs 59.2± 13.6 mm Hg; P=.016), central pulse pressure (63±16  mm Hg vs 51±14 mm Hg; P=.012), and aortic augmentation pressure (15.9±6.0 mm Hg vs 11.8±6.5  mm Hg; P=.038).

Table V.   End-Organ Damage in Patients With and Without Cerebral Microangiopathy
 With Cerebral Microangiopathy (n=19, %Without Cerebral Microangiopathy (n=23), %P Value
  1. Abbreviations: AP, augmentation pressure; LV, left ventricular; MRI, magnetic resonance imaging; RV, right ventricular.

Cardiac MRT
 LV mass, g154±39144±24.333
 RV mass, g42±1040±7.7.466
Intima-media thickness, mm0.75±0.070.76±0.12.823
Agatston score310±654120±167.958
Pulse wave velocity, m/s10.7±1.969.39±1.39.034
Peripheral pulse pressure, mm Hg70.8±16.359.2±13.6.016
Central pulse pressure, mm Hg63±1651±14.012
Aortic AP (heart rate, 75)15.9±6.011.8±6.5.038


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Conclusions
  7. Acknowledgments
  8. References

About 44.1% of patients had cerebral microangiopathy in the present cohort of patients with treatment-resistant hypertension. The analysis of patient and clinical characteristics documents that among the variables tested, age, low casual heart rate, SBP (specifically at night), and signs of hypertensive vasculopathy such as peripheral and central pulse pressure and pulse wave velocity were determinants of cerebral microangiopathy. None of the other risk factors tested proved to be predictive.

Role of SBP

Hypertension has been made responsible for structural alterations in small-caliber vessels and, in particular, the perforating arteries that irrigate the cerebral white matter.23 Accordingly, SBP derived from casual and standing BP measurements and from 24-hour monitoring (during the day and night) was higher in patients than in controls in our analysis. However, only the elevation of SBP readings during nighttime was significant (138±13 mm Hg vs 127±13 mm Hg; P=.039). On the other hand, there was no such trend for DBP values.

This corresponds with various prospective trials that have shown that systolic nighttime BP is superior to day or 24-hour BP in predicting cardiovascular complications.24,25 It is also consistent with data from the Honolulu-Asia Aging Study,26 which looked at a sample of 4000 Japanese-American men and evaluated the relationship between cognitive performance and the level of BP registered 20 to 25 years before. The analysis of the data demonstrated that SBP was inversely related to cognitive status, but DBP was not. In particular, for every 10-mm increase in the level of the SBP, there was a 9% increase in the risk of intellectual decline.

The lowering of BP from a previous hypertensive point into the normal range has been demonstrated for many years to result in stroke prevention.27 This is also accompanied by a reduction in the incidence of dementia during a 15-year follow-up.28 It is, however, most likely a result of the reduction of strokes and not because of a prevention of microangiopathy.23 The latter appears to be less responsive to antihypertensive treatment. The present dataset is limited in this respect by our focus on treatment resistant–hypertensive patients and the largely comparable antihypertensive pharmacotherapy, however.

Hypertensive Vasculopathy

Signs of hypertensive vasculopathy and arterial stiffness such as increases in peripheral and central pulse pressure as well as pulse wave velocity were determinants of cerebral microangiopathy in our cohort. These findings are supported by data of Henskens and colleagues29 who associated an increase of aortic pulse wave velocity with silent cerebral small-vessel disease in hypertensive patients. They examined 167 hypertensive patients (mean age, 51.8±13.1 years) with untreated hypertension and found that in multivariate analyses-adjusted for age, sex, brain volume, mean arterial pressure, and heart rate, a higher pulse wave velocity was significantly associated with a greater volume of WMH and the presence of lacunar infarcts. Further data by Kearney-Schwartz and colleagues30 also suggested that vascular abnormalities, independently of BP levels, may play a role for WMH in elderly hypertensive patients. They conducted a prospective, cross-sectional study in 198 elderly patients with a mean age of 69.3±6.2 years with subjective memory complaints and had WMH quantified by MRI. In their study, the severity of WMH was independently associated with increased carotid IMT and stiffness (as assessed by augmentation index). Further, after adjustment for a number of cardiovascular risk factors, increased arterial stiffness (as assessed by pulse wave velocity) was significantly and independently associated with memory impairment in men. This fits with data published by Waldstein and colleagues31 who prospectively examined the longitudinal relations of pulse pressure and pulse wave velocity to multiple domains of cognitive function (Baltimore Longitudinal Study of Aging) during a 14-year follow-up. Results of mixed-effects regression models revealed a prospective decline on tests of verbal learning, nonverbal memory, working memory, and a cognitive screening measure among patients with increasing levels of pulse pressure. Persons with higher baseline pulse wave velocity also exhibited prospective decline on tests of verbal learning and delayed recall, nonverbal memory, and a cognitive screening measure. Our data extend our understanding that at the stage of treatment-resistant hypertension, clinical markers of increased stiffness of large arteries are indicative of cerebral microvascular damage.


Aiming to identify determinants of cerebral microangiopathy in treatment-resistant hypertension, we conducted a small pilot study including a total of 42 patients. This may represent a limit to the present analysis in which a number of variables such as casual and standing BP values were nominally but not statistically different. A larger number of patients would have been helpful to further validate the results. On the other hand, typical determinants that have been reported in similar but larger analyses for patients with all stages of hypertension were also identified in the present analysis, making the results useful contributions to this research area. Further, due to the study design, namely inclusion of patients with treatment-resistant hypertension taking treatment with 3 antihypertensive drugs (of which one has to be a blocker of the renin-angiotensin system and one to be a diuretic), no differences in antihypertensive medication were detected and no relationship between antihypertensive drug use and cerebral microangiopathy could be established. This will be reserved for a future larger epidemiologic study.


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Conclusions
  7. Acknowledgments
  8. References

SBP and signs of hypertensive vasculopathy such as peripheral and central pulse pressure and pulse wave velocity were associated with cerebral microangiopathy in patients with long-standing treatment-resistant hypertension, pointing at a linkage between systemic large and cerebral small-artery disease.


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Conclusions
  7. Acknowledgments
  8. References
  • 1
    Meyer JS, Kawamura J, Terayama Y. White matter lesions in the elderly. J Neurol Sci. 1992;110:17.
  • 2
    Bracco L, Campani D, Baratti E, et al. Relation between MRI features and dementia in cerebrovascular disease patients with leukoaraiosis: a longitudinal study. J Neurol Sci. 1993;120:131136.
  • 3
    Garde E, Mortensen EL, Krabbe K, et al. Relation between age-related decline in intelligence and cerebral white-matter hyperintensities in healthy octogenarians: a longitudinal study. Lancet. 2000;356:628634.
  • 4
    Sabri O, Ringelstein EB, Hellwig D, et al. Neuropsychological impairment correlates with hypoperfusion and hypometabolism but not with severity of white matter lesions on MRI in patients with cerebral microangiopathy. Stroke. 1999;30:556566.
  • 5
    Awad IA, Spetzler RF, Hodak JA, et al. Incidental subcortical lesions identified on magnetic resonance imaging in the elderly. I. Correlation with age and cerebrovascular risk factors. Stroke. 1986;17:10841089.
  • 6
    Kertesz A, Black SE, Tokar G, et al. Periventricular and subcortical hyperintensities on magnetic resonance imaging. “Rims, caps, and unidentified bright objects.” Arch Neurol. 1988;45:404408.
  • 7
    Bots ML, van Swieten JC, Breteler MM, et al. Cerebral white matter lesions and atherosclerosis in the Rotterdam study. Lancet. 1993;341:12321237.
  • 8
    Schmidt R, Fazekas F, Kleinert G, et al. Magnetic resonance imaging signal hyperintensities in the deep and subcortical white matter. A comparative study between stroke patients and normal volunteers. Arch Neurol. 1992;49:825827.
  • 9
    Manolio TA, Kronmal RA, Burke GL, et al. Magnetic resonance abnormalities and cardiovascular disease in older adults. The cardiovascular health study. Stroke. 1994;25:318327.
  • 10
    Schmidt R, Fazekas F, Offenbacher H, et al. Neuropsychologic correlates of MRI white matter hyperintensities: a study of 150 normal volunteers. Neurology. 1993;43:24902494.
  • 11
    Schmidt R, Schmidt H, Kapeller P, et al. The natural course of MRI white matter hyperintensities. J Neurol Sci. 2002;204:253257.
  • 12
    Lammie GA, Brannan F, Slattery J, Warlow C. Nonhypertensive cerebral small-vessel disease. An autopsy study. Stroke 1997;28:22229.
  • 13
    Mancia G, De Backer G, Dominiczak A, et al. 2007 Guidelines for the Management of Arterial Hypertension: the task force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). J Hypertens. 2007;25:11051187.
  • 14
    Fazekas F, Chawluk JB, Alavi A, et al. MR signal abnormalities at 1.5T in Alzheimer’s dementia and normal aging. AJR Am J Neuroradiol. 1987;8:421426.
  • 15
    Pantoni L, Basile AM, Pracucci G, et al. Impact of age-related cerebral white matter changes on the transition to disability – the LADIS study: rationale, design and methodology. Neuroepidemiology. 2005;24:5162.
  • 16
    Olivotto I, Maron MS, Autore C, et al. Assessment and significance of left ventricular mass by cardiovascular magnetic resonance in hypertrophic cardiomyopathy. J Am Coll Cardiol. 2008;52:559566.
  • 17
    Maceira AM, Prasad SK, Khan M, Pennell DJ, Normalized left ventricular systolic and diastolic function by steady state free precession cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2006;8:417426.
  • 18
    Greenland P, Bonow RO, Brundage BH, et al. ACCF/AHA 2007 clinical expert consensus document on coronary artery calcium scoring by computed tomography in global cardiovascular risk assessment and in evaluation of patients with chest pain: a report of the American College of Cardiology Foundation Clinical Expert Consensus Task Force (ACCF/AHA Writing Committee to Update the 2000 Expert Consensus Document on Electron Beam Computed Tomography) developed in collaboration with the Society of Atherosclerosis Imaging and Prevention and the Society of Cardiovascular Computed Tomography. J Am Coll Cardiol. 2007;49:378402.
  • 19
    Agatston AS, Janowitz WR, Hildner FJ, et al. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol. 1990;15:827832.
  • 20
    Touboul PJ, Hennerici MG, Meairs S, et al. Mannheim carotid intima-media thickness consensus (2004–2006). An update on behalf of the Advisory Board of the 3rd and 4th Watching the Risk Symposium, 13th and 15th European Stroke Conferences, Mannheim, Germany, 2004, and Brussels, Belgium, 2006. Cerebrovasc Dis. 2007;23:7580.
  • 21
    London GM, Pannier B, Agharazii M, et al. Forearm reactive hyperemia and mortality in end-stage renal disease. Kidney Int. 2004;65:700704.
  • 22
    Schmieder RE, Schrader J, Zidek W, et al. Low-grade albuminuria and cardiovascular risk: what is the evidence? Clin Res Cardiol. 2007;96:247257.
  • 23
    Cherubini A, Lowenthal DT, Paran E, et al. Hypertension and cognitive function in the elderly. Dis Mon. 2010;56:106147.
  • 24
    Eguchi K, Ishikawa J, Hoshide S, et al. Night time blood pressure variability is a strong predictor for cardiovascular events in patients with type 2 diabetes. Am J Hypertens. 2009;22:4651.
  • 25
    Fan HQ, Li Y, Thijs L, et al. Prognostic value of isolated nocturnal hypertension on ambulatory measurement in 8711 individuals from 10 populations. J Hypertens. 2010;28(10):20362045.
  • 26
    Launer LJ, Masaki K, Petrovitch H, et al. The association between midlife blood pressure levels and late-life cognitive function. The Honolulu-Asia Aging Study. JAMA. 1995;274:18461851.
  • 27
    Lewington S, Clarke R, Qizilbash N, et al. 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;360:19031913.
  • 28
    Blum JE, Jarvik LF, Clark ET. Rate of change on selective tests of intelligence: a twenty-year longitudinal study of aging. J Gerontol. 1970;25:171176.
  • 29
    Henskens LH, Kroon AA, van Oostenbrugge RJ, et al. Increased aortic pulse wave velocity is associated with silent cerebral small-vessel disease in hypertensive patients. Hypertension. 2008;52:11201126.
  • 30
    Kearney-Schwartz A, Rossignol P, Bracard S, et al. Vascular structure and function is correlated to cognitive performance and white matter hyperintensities in older hypertensive patients with subjective memory complaints. Stroke. 2009;40:12291236.
  • 31
    Waldstein SR, Rice SC, Thayer JF, et al. Pulse pressure and pulse wave velocity are related to cognitive decline in the Baltimore Longitudinal Study of Aging. Hypertension. 2008;51:99104.