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. Author manuscript; available in PMC: 2017 Sep 1.
Published in final edited form as: Stroke. 2016 Aug 4;47(9):2256–2261. doi: 10.1161/STROKEAHA.116.013508

Aortic Stiffness and the Risk of Incident Mild Cognitive Impairment and Dementia

Matthew P Pase 1,2,3, Alexa Beiser 1,2,4, Jayandra J Himali 1,2, Connie Tsao 5, Claudia L Satizabal 1,2, Ramachandran S Vasan 2, Sudha Seshadri 1,2,*, Gary F Mitchell 2,6,*
PMCID: PMC4995162  NIHMSID: NIHMS803856  PMID: 27491735

Abstract

Background and Purpose

Aortic stiffening increases the transfers of high pressure and flow pulsatility to small cerebral vessels potentially causing the accumulation of vascular brain injury. Our aim was to investigate the prospective association of aortic stiffness with the risks of incident mild cognitive impairment and dementia.

Methods

We studied 1,101 dementia-free Framingham Offspring study participants (mean age 69±6 years; 54% women). Aortic stiffness was measured as carotid-femoral pulse wave velocity using applanation tonometry, and modelled as a linear variable and the top 2 quintiles (>11.4 m/s). Outcomes were the 10-year risk of incident mild cognitive impairment and dementia, including clinically characterized Alzheimer’s disease. We observed 106, 77 and 59 events of mild cognitive impairment, all-cause dementia and clinical Alzheimer’s disease respectively.

Results

After adjustment for age and sex, higher continuous aortic stiffness predicted an increased risk of mild cognitive impairment (Hazard Ratio [HR], 1.40 [95% CI: 1.13–1.73]), all-cause dementia (HR, 1.45 [95% CI: 1.13–1.87]) and Alzheimer’s disease (HR, 1.41 [95% CI: 1.06–1.87]). In risk factor-adjusted statistical models, aortic stiffness remained a significant predictor of mild cognitive impairment, but not incident dementia. In non-diabetics, the top 2 quintiles of aortic stiffness were associated with a higher risk of incident all-cause dementia across all statistical models.

Conclusions

Aortic stiffness was an independent predictor of incident mild cognitive impairment in the whole sample and with incident dementia in non-diabetics. Our findings suggest aortic stiffness as a potentially modifiable risk factor for clinical cognitive impairment and dementia.

Keywords: Brain, aortic stiffness, dementia, vascular cognitive impairment, risk factors

Introduction

The integrity of the body’s largest artery may contribute to disease of the smallest cerebral vessels. The compliant large arteries smooth out pulsations of blood flow ensuring near steady flow through smaller peripheral vessels.1 With aging, the aorta progressively stiffens and dilates,2 which facilitates transfer of pressure and flow pulsatility to peripheral organs.1, 3 Small cerebral vessels appear susceptible to high aortic stiffness because the brain is a high flow, low resistance organ meaning that pulsatile flow penetrates deeply into the cerebral vasculature.14 Excessive transmission of pulsatile energy into the microcirculation may cause hypertrophic remodeling and rarefaction of small cerebral vessels, possibly resulting in microvascular ischemia or hemorrhage.5

High aortic stiffness has been associated with vascular brain injury including stroke, silent infarcts, white matter injury, cortical atrophy and cognitive decline.4, 613 The association between aortic stiffness and vascular lesions is important because the accumulation of vascular brain injury is associated with an increased risk of dementia.14 Aortic stiffness has also been linked with the pathological and clinical hallmarks of Alzheimer’s disease (AD), including amyloid-β aggregation15 and deficits in episodic memory.16 Based on these findings, there is a strong rationale to suggest an association between aortic stiffness and the risk of clinical cognitive impairment and incident dementia. Yet, to our knowledge, there is no direct evidence to support this assertion. The aim of the present study was to investigate the association of aortic stiffness with the risks of incident mild cognitive impairment (MCI) and dementia in participants of the Framingham Heart Study (FHS) Offspring cohort.

Methods

The FHS Offspring cohort is a prospective, community-based cohort study conducted in the town of Framingham, Massachusetts, USA. Enrollment commenced in 1971 with the recruitment of 5124 participants. The cohort has been examined 9 times, with the latest examination concluding in 2014. For the present study, we used the 7th examination cycle (19982001) as a baseline, from which we calculated the prospective risk of incident MCI and dementia in adults aged 60 years or older. Applanation tonometry on the study cohort begun after the commencement of the 7th exam cycle, hence carotid-femoral pulse wave velocity (CFPWV) was not measured on approximately the first third of participants who completed the 7th exam. There were 3539 participants who attended exam 7, of whom, 1928 participants were aged 60 years or older at exam 7. Of these 1928 participants, 1206 had CFPWV measured. For the analysis of incident dementia, we excluded 13 participants who had prevalent dementia at baseline and 92 participants who had no follow-up for dementia, leaving a sample of 1101 participants. For the analysis of incident MCI, we excluded 30 participants with dementia or MCI at baseline and a further 108 participants who did not have follow-up for MCI, leaving a sample of 1068. All participants provided written informed consent and the study was approved by the Institutional Review Board and Boston University Medical Center.

Assessment of Aortic Stiffness

The primary exposure was CFPWV, the reference standard non-invasive measure of aortic stiffness.17 Measurements were obtained in the morning, fasting and after a supine rest period of approximately 5 minutes. Trained research assistants used a commercially available tonometer (Millar Instruments, Houston, TX) to applanate the brachial, radial, femoral and carotid arteries. Using body surface measurements, path length was calculated by subtracting the distance between the carotid measurement site and suprasternal notch from the distance between the suprasternal notch and femoral measurement site. This subtraction method adjusts for parallel transmission of the arterial pulse wave in the aortic arch and brachiocephalic artery.18 A simultaneous electrocardiogram (ECG) was obtained to synchronize pressure waveforms to the ECG R wave for the purpose of signal averaging. CFPWV was calculated by dividing the path length by the pulse wave transit time (from the carotid to femoral sites), with values expressed in m/s. Mean arterial pressure (MAP) was calculated as the mean of the signal-averaged brachial pressure waveform. Carotid pressure tracings were calibrated with diastolic and integrated mean brachial blood pressures (BP), and used to estimate central pulse pressure (PP),19 a surrogate marker of aortic stiffness. Brachial PP was also calculated during the tonometry assessment. Prevalent hypertension was defined as a physician measured BP ≥140/90 mmHg at exam 7, or treatment with BP lowering drugs. The reproducibility of CFPWV in the FHS has been examined in a random sample of 50 participants that were blindly reanalyzed by a second observer (correlation coefficient, r = 0.972).

Assessment of incident MCI and dementia

Using exam 7 as a baseline, we calculated the 10 year risks of incident MCI, all-cause dementia and clinical AD, which were measured through active surveillance of the cohort as described previously.20 A diagnosis of dementia was made in accordance with the Diagnostic and Statistical Manual of Mental Disorders, 4th edition.21 A diagnosis of clinical AD was based on the criteria of the National Institute of Neurological and Communicative Disorders and Stroke and the AD and Related Disorders Association for definite, probable, or possible AD.22 Those with possible or probable AD dementia and concomitant vascular dementia were also classified as having AD. A diagnosis of MCI was made in accordance with the criteria defined by Petersen.23

Statistical analysis

Consistent with our previous publications,24, 25 CFPWV was inverse transformed (-1000/CFPWV) to reduce heteroscedasticity. Values were multiplied by -1 to maintain directionality, with higher scores indicating a stiffer aorta. We also modelled CFPWV as a categorical variable, according to the top 2 quintiles (CFWPV >11.4 m/s). We used SAS Software (SAS Institute, Cary, N.C.) to examine the association between CFPWV and the outcomes using Cox proportional-hazard regression models. Results were expressed as a hazard ratio (HR) and 95% confidence interval (CI). Analyses were conducted according to 4 statistical models, with each including additional adjustment. The models were designed to adjust for known competing risk factors for vascular brain injury and other important confounding factors. The covariates included age at baseline and sex (model 1); education and APOE ε4 allele status (model 2); MAP, prevalent diabetes and high density lipoprotein cholesterol (model 3); prevalent atrial fibrillation, current smoking, prevalent cardiovascular disease, heart rate, total cholesterol, depressive symptoms (Center for Epidemiologic Studies Depression Scale score ≥16), central adiposity defined by the highest sex-specific quartile of waist-to-hip ratio and treatment for hypertension (model 4). We explored possible interactions with sex, APOE ε4 allele status, prevalent diabetes and prevalent hypertension. We also repeated the regression models with prevalent hypertension, brachial PP and central PP as the predictors (for models 1 and 2). The threshold for statistical significance was p<0.1 for tests of interaction and p<0.05 for all other analyses.

Results

The sample demographics are displayed in Table 1. Over 10 years of surveillance, we observed 106 (10%) cases of MCI and 77 (7%) cases of dementia, 59 (5%) of which were clinically consistent with AD.

Table 1.

Characteristics of the baseline study sample

MCI analysis sample (n=1068) Dementia analysis sample (n=1101)
Age, y 69 (6) 69 (6)
Men, n (%) 486 (46) 504 (46)
Education, n (%)
 No high school degree 63 (6) 72 (7)
 High school degree 348 (34) 359 (34)
 Some college 283 (27) 288 (27)
 College graduate 341 (33) 347 (33)
Waist/hip ratio, median (Q1, Q3) 0.97 (0.92, 1.01) 0.97 (0.92, 1.01)
Heart rate, min−1 64 (11) 64 (11)
Systolic BP, mmHg 127 (18) 127 (18)
Diastolic BP, mmHg 69 (11) 69 (11)
Brachial PP, mmHg 58 (15) 58 (15)
Central PP, mmHg 56 (17) 56 (17)
Hypertension, n (%) 618 (58) 645 (59)
Hypertension treatment, n (%) 462 (43) 486 (44)
Total cholesterol, mg/dL 200 (37) 200 (37)
HDL cholesterol, mg/dL 54.4 (17.4) 54.3 (17.3)
Diabetes mellitus, n (%) 158 (15) 171 (16)
Prevalent CVD, n (%) 206 (19) 220 (20)
Current smoker, n (%) 85 (8) 87 (8)
Apolipoprotein E ε4 presence, % 238 (23) 249 (23)
CFPWV, m/s, median (Q1, Q3) 10.6 (9.0, 13.1) 10.7 (9.0, 13.2)

Data are displayed as mean (SD), unless specified otherwise. CFPWV = carotid femoral pulse wave velocity, HDL = high density lipoprotein. Means and standard deviations are reported, unless stated otherwise. Continuous BP variables were measured during the CFPWV assessment.

Aortic stiffness and MCI

As a continuous variable, higher aortic stiffness was associated with higher risk of incident MCI, across all statistical models (Table 2). Results were similar when aortic stiffness was modelled as the top 2 quintiles of CFPWV, with the exception that the association failed to reach statistical significance in model 3.

Table 2.

Aortic Stiffness and the 10-year risk of incident mild cognitive impairment and dementia

Event Mild Cognitive Impairment
All-Cause Dementia
Alzheimer’s disease
Exposure Model n cases / subjects HR (95% CI) p n cases / subjects HR (95% CI) p n cases / subjects HR (95% CI) p
Continuous CFPWV
 1 106/1068 1.40 (1.13, 1.73) 0.002 77/1101 1.45 (1.13, 1.87) 0.004 59/1101 1.41 (1.06, 1.87) 0.02
 2 104/1016 1.37 (1.10, 1.69) 0.005 76/1047 1.35 (1.05, 1.74) 0.02 59/1047 1.24 (0.93, 1.65) 0.14
 3 104/1000 1.31 (1.03, 1.66) 0.03 76/1030 1.20 (0.90, 1.60) 0.21 59/1030 1.17 (0.85, 1.61) 0.34
 4 98/976 1.41 (1.08, 1.83) 0.01 73/1004 1.17 (0.85, 1.61) 0.33 57/1004 1.17 (0.81, 1.67) 0.41
Top 2 quintiles of CFPWV
 1 106/1068 1.71 (1.13, 2.58) 0.01 77/1101 2.14 (1.29, 3.56) 0.003 59/1101 2.03 (1.15, 3.61) 0.02
 2 104/1016 1.70 (1.11, 2.58) 0.01 76/1047 2.02 (1.20, 3.42) 0.008 59/1047 1.78 (0.99, 3.20) 0.05
 3 104/1000 1.52 (0.96, 2.39) 0.07 76/1030 1.66 (0.94, 2.92) 0.08 59/1030 1.61 (0.85, 3.06) 0.14
 4 98/976 1.69 (1.04, 2.73) 0.03 73/1004 1.60 (0.87, 2.93) 0.13 57/1004 1.69 (0.85, 3.37) 0.13

CFPWV = carotid-femoral pulse wave velocity, CI = confidence interval, HR = Hazard ratio, Model 1 adjusts for age and sex. Model 2 includes additional adjustment for education and APOE ε4 allele status. Model 3 includes additional adjustment for mean arterial pressure, prevalent diabetes and high density lipoprotein cholesterol. Model 4 includes additional adjustment for atrial fibrillation, current smoking, prevalent cardiovascular disease, heart rate, total cholesterol, depressive symptoms, central adiposity and treatment for hypertension.

Aortic stiffness and dementia

After adjustment for age and sex, aortic stiffness was associated with a higher risk of both all-cause dementia and AD (Table 2). Aortic stiffness remained a significant predictor of all-cause dementia after adjustment for APOE ε4 and education (model 2), whereas results were no longer statistically significant after adjusting for additional vascular risk factors (models 3–4). Aortic stiffness was only associated with AD in model 1. Results were similar regardless of whether aortic stiffness was modelled as a continuous or categorical variable.

Interactions

When all-cause dementia was the outcome, we observed an interaction between prevalent diabetes and the top 2 quintiles of aortic stiffness (p=0.09). We thus repeated the dementia analyses, stratifying by diabetes status at exam 7. In those without diabetes, the top 2 quintiles of aortic stiffness were associated with a greater than 2-fold increase in the risk of incident all-cause dementia, across all statistical models (Table 3). There were no significant associations between aortic stiffness and dementia in persons with diabetes. No other interactions were observed.

Table 3.

Top 2 quintiles of aortic stiffness and the 10-year risk of incident all-cause dementia, stratified by prevalent diabetes

Without Diabetes
With Diabetes
Model n cases / subjects HR (95% CI) p n cases / subjects HR (95% CI) p
1 58/913 2.27 (1.28, 4.05) 0.005 19/171 1.02 (0.34, 3.02) 0.98
2 57/870 2.15 (1.19, 3.90) 0.01 19/162 0.93 (0.31, 2.82) 0.90
3 57/870 2.11 (1.12, 3.97) 0.02 19/160 0.57 (0.16, 1.99) 0.38
4 55/849 2.01 (1.04, 3.91) 0.04 18/155 0.50 (0.11, 2.34) 0.38

CI = confidence interval, HR = Hazard ratio, Model 1 adjusts for age and sex. Model 2 includes additional adjustment for education and APOE ε4 allele status. Model 3 includes additional adjustment for mean arterial pressure and high density lipoprotein cholesterol. Model 4 includes additional adjustment for atrial fibrillation, current smoking, prevalent cardiovascular disease, heart rate, total cholesterol, depressive symptoms, central adiposity and treatment for hypertension.

Comparisons with PP and prevalent hypertension

Brachial PP was associated with a marginal increase in the risk of all-cause dementia, in model 1 only, but with neither MCI nor AD. Central PP and prevalent hypertension were not associated with the risks of MCI, all-cause dementia or AD (Table 4).

Table 4.

Association of prevalent hypertension and PP with the 10-year risk of incident mild cognitive impairment and dementia

Event Mild Cognitive Impairment
All-Cause Dementia
Alzheimer’s disease
Exposure Model n cases / subjects HR (95% CI) p n cases / subjects HR (95% CI) p n cases / subjects HR (95% CI) p
Prevalent Hypertension
 1 106/1068 1.14 (0.76, 1.70) 0.54 77/1101 1.61 (0.96, 2.70) 0.07 59/1101 1.28 (0.73, 2.24) 0.40
 2 104/1016 1.10 (0.73, 1.67) 0.64 76/1047 1.44 (0.85, 2.43) 0.17 59/1047 1.12 (0.64, 1.99) 0.69
Brachial PP
 1 106/1068 1.00 (0.99, 1.02) 0.71 77/1101 1.02 (1.00, 1.03) 0.02 59/1101 1.01 (1.00, 1.03) 0.17
 2 104/1016 1.00 (0.99, 1.01) 0.93 76/1047 1.01 (1.00, 1.03) 0.05 59/1047 1.01 (0.99, 1.02) 0.36
Central PP
 1 106/1068 1.00 (0.99, 1.01) 0.997 77/1101 1.01 (1.00, 1.02) 0.18 59/1101 1.01 (0.99, 1.02) 0.47
 2 104/1016 1.00 (0.99, 1.01) 0.86 76/1047 1.02 (1.00, 1.02) 0.27 59/1047 1.00 (0.99, 1.02) 0.79

CFPWV = carotid-femoral pulse wave velocity, CI = confidence interval, HR = Hazard ratio, Model 1 adjusts for age and sex. Model 2 includes additional adjustment for education and APOE ε4 allele status.

Discussion

This prospective, community-based cohort study confirms an association between aortic stiffness and the development of MCI and incident dementia. Specifically, we report an association between higher aortic stiffness and an increased risk of incident MCI in the whole sample and with an increased risk of incident dementia in non-diabetics. Aortic stiffness was also associated with clinical AD independent of age and sex, although results were no longer significant after adjusting for the APOE ε4 allele and vascular risk factors. Prevalent hypertension was not associated with incident MCI or dementia in our sample.

A large body of previous work has demonstrated associations between high aortic stiffness, vascular brain injury and cognitive decline.4, 613 However, such work does not explain whether aortic stiffness is simply associated with ‘normal’ brain aging, vascular brain injury due to small vessel disease or the beginnings or a neurodegenerative process leading to clinical dementia. A cross-sectional study reported aortic stiffness to be higher in both MCI and dementia as compared to healthy controls,26 although the temporal association between aortic stiffness and dementia could not be established. To our knowledge, only the Rotterdam study has investigated the prospective association between aortic stiffness and the risk of incident dementia.27 Whereas aortic stiffness was not associated with dementia, and MCI by Petersen criteria was not assessed in the Rotterdam study, the authors did find an association between aortic stiffness and poorer executive function. Other cohort studies have linked aortic stiffness to cognitive decline in the 8th to 10th decades of life.1012, 28 The present study extends this previous work by demonstrating an association between aortic stiffness and the development of clinical MCI, i.e., cognitive impairment beyond that typically expected for age and education, in the absence of clinical dementia.

Although the present study does not establish causality between aortic stiffness and the development of MCI or dementia, there is a strong empirical and mechanistic framework to suggest that this may be the case. Aortic stiffening increases the transmission of pulsatile energy into small cerebral vessels1, 3 and numerous studies have associated aortic stiffness with a higher burden of vascular brain injury.4, 68, 1113 Meta-analysis of available studies has demonstrated relationships between aortic stiffness and evidence of cerebral small vessel disease including white matter hyperintensities, silent brain infarcts, cerebral microbleeds and cognitive impairment.6, 7 Injury to deep white matter may follow from high aortic stiffness given that such tissue is perfused by the short ascending branches arising from the circle of Willis, which are less able to dampen high pressure and flow pulsatility as compared to the tortuous vessels that perfuse the cerebral cortex.29 Aortic stiffening is also related to impaired microvascular reactivity,30 reduced cerebral perfusion,31 BP variability32 and incident hypertension,33 which are also related to vascular brain injury and cognitive impairment.34, 35 Recent research showed that white matter hyperintensities and cerebrovascular remodeling explained 41% of the observed association between aortic stiffness and memory function.29 Finally, the arterial pulse wave is also thought to propel the movement of cerebrospinal fluid along perivascular spaces.36 Changes in pulsatile flow dynamics, following from aortic stiffening, may alter this process potentially disrupting the clearance of metabolic waste from the brain.

As dementia involves the irreversible loss of neurons, it is important to find ways to prevent dementia before onset. The characterization of those with MCI has been advocated because such individuals are at an increased risk of dementia and may be ideal candidates for intervention.23 Importantly, aortic stiffness can be lowered through appropriate pharmacological therapy, dietary change and lifestyle intervention.37 As CFPWV is not routinely used in clinical care, the lowering of aortic stiffness is generally achieved indirectly and incidentally, as a consequence of efforts to lower brachial BP. However, it remains unclear whether lowering aortic stiffness can reduce the risk of developing MCI and dementia. We are unlikely to have an answer to this question in the near future given the difficulties in designing appropriate clinical trials. As with exposure to hypertension, high aortic stiffness likely leads to the insidious accumulation of cerebrovascular injury, with clinical dementia only becoming apparent decades following sustained exposure. It is thus extremely challenging for clinical trials to ascertain whether treating aortic stiffness can lower the risks of MCI and dementia. Nevertheless, reducing vascular risk factors such as aortic stiffness, through healthy lifestyle choices and possible pharmacological treatments, is already encouraged for the purpose of preventing heart disease and stroke.38 Based on the results of numerous cohort studies, the benefits of maintaining normal arterial stiffness may extend to lowering the risk of clinical cognitive impairment and dementia.39

Interactions revealed that aortic stiffness was associated with an increased risk of all-cause dementia, but only in those without diabetes. Individuals with type II diabetes have been shown to be at an increased risk of dementia, although the mechanisms linking diabetes to dementia remain uncertain.40 It is possible that those with diabetes are at an increased risk of dementia through largely metabolic rather than hemodynamic mechanisms, stemming from insulin resistance, disrupted insulin signaling and hyperglycemia. As an alternative explanation, those with diabetes and high aortic stiffness may have been at an increased risk of dying from competing illness, prior to dementia onset.

Our study was limited by the observational design, which precludes conclusions on the causal link between aortic stiffness and outcome. Secondly, our sample was comprised mostly of white Caucasians, limiting the applicability of our findings to other ethnic groups. We observed interactions between CFPWV and diabetes status when predicting incident dementia but not MCI and we cannot rule out the possibility of chance associations. CFPWV is not routinely used in clinical practice, perhaps owing to time constraints, the need for specialized equipment and operator training. However, with mounting evidence linking CFPWV to asymptomatic organ damage, cardiovascular disease and chronic kidney disease, the measurement of CFPWV is now advocated by clinical guidelines, with use becoming more widespread both in research and clinical practice.38

We demonstrate that high aortic stiffness, measured as CFPWV, was an independent predictor of incident MCI in the whole sample and of incident dementia in non-diabetics. Limiting aortic stiffening with aging, through healthy lifestyle, diet and possible pharmacological therapy, may thus help protect against later life vascular brain injury and cognitive impairment.

Acknowledgments

Funding Sources: Dr. Pase is funded by an Australian National Health and Medical Research Council Early Career Fellowship (APP1089698). The Framingham Heart Study is supported by the National Heart, Lung, and Blood Institute (contracts N01-HC-25195 and HHSN268201500001I), grants from the National Institute of Neurological Disorders and Stroke (NS17950), the National Institute on Aging (AG008122, AG033193, AG049607) and by HL076784, AG028321, HL070100, HL060040, HL080124, HL071039, HL077447, HL107385, and 2-K24-HL04334.

Footnotes

Disclosures: Dr. Mitchell is owner of Cardiovascular Engineering Inc. (a company that develops and manufactures devices to measure vascular stiffness) and serves as a consultant to Novartis, Merck and Servier. The other authors report no potential conflicts of interest. Drs Pase, Beiser, Himali, Tsao, Satizabal, Vasan and Seshadri report no disclosures.

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