Abstract
Heart failure has served as a clinically useful model for understanding how cardiac dysfunction is associated with neuroanatomic and neuropsychological changes in aging adults, theoretically because systemic hypoperfusion disrupts cerebral perfusion, contributing to clinical brain injury. This review summarizes more recent data suggesting that subtle cardiac dysfunction or low normal levels of cardiac function, as quantified by cardiac output, are related to cognitive and neuroimaging markers of abnormal brain aging in the absence of heart failure or severe cardiomyopathy. Additional work is required, but such associations suggest that reduced cardiac output may be a risk factor for Alzheimer’s disease (AD) and abnormal brain aging through the propagation or exacerbation of neurovascular processes, microembolism due to thrombosis, and AD neuropathological processes. Such mechanistic pathways are discussed in the context of a theoretical model that posits a direct pathway of injury between cardiac output and abnormal brain aging (i.e., reduced systemic blood flow disrupts cerebral blood flow homeostasis), contributing to clinical brain injury, independent of shared risk factors for both cardiac dysfunction and abnormal brain aging.
Keywords: Alzheimer’s disease, cardiac output, cardiovascular disease, cognition
INTRODUCTION
As the population continues to age, cognitive decline and dementia are becoming increasingly important public health issues with Alzheimer’s disease (AD) prevalence expected to triple between now and 2050 [1]. Vascular factors, such as hypertension, diabetes mellitus, and atherosclerosis, are associated with increased risk for unhealthy cognitive aging in older adults, including abnormal neuroanatomical alterations [2,3], cognitive changes [4], and clinical AD [5, 6]. Vascular risk factors can also result in myocardial damage, often without overt myocardial infarction, thereby altering cardiac function [7,8]. Resultant alterations in systemic blood flow (even if subtle or subclinical) may pose an additional risk for accelerating age-related brain injury by affecting cerebral blood flow homeostasis [9–11]. However, the association between cardiac function and central nervous system (CNS) injury, including risk for AD, remains a poorly understood aspect of vascular cognitive aging.
Clinical trials targeted at reducing AD progression have demonstrated that patients continue to decline despite therapeutic intervention [12–14]. Thus, there is an urgent need to concurrently identify risk factors for abnormal cognitive aging, such as lower levels of cardiac output, because interventions initiated prior to the onset of clinical AD may be more effective than current treatment strategies for delaying progression [15,16]. In fact, estimates suggest that delaying onset of AD by a mere year would yield nine million fewer cases of AD by the year 2050 [17].
This paper reviews current data that relates cardiac function, and cardiac output in particular, to cognitive and neuroimaging markers of abnormal brain aging and considers cardiac output as a possible risk factor for AD.
HEART FAILURE AS A CLINICAL MODEL FOR UNDERSTANDING CARDIAC FUNCTION AND BRAIN AGING
Though heart failure has been associated with reduced cerebral blood flow for more than five decades [18,19], it was not until 1977 when the term “cardiogenic dementia” was introduced that clinical features (i.e., a mild dementing state) were associated with heart failure [20]. The theory behind “cardiogenic dementia,” which was considered controversial at the time [21,22], proposed that cerebral blood flow changes resulted in a fluctuating cognitive state that could be progressive in nature. Such cerebral blood flow changes were purportedly due to life-long episodes of subnormal cardiac output.
While the term “cardiogenic dementia” is no longer used, there has been considerable research since 1977 relating cardiac function to clinical CNS abnormalities, emphasizing patients with end-stage heart failure or severe cardiomyopathy [23–33]. Based on this vast literature, it is now well known that heart failure is associated with abnormal brain changes, including cognitive impairment [34,35], structural changes [36], and dementia [29,30]. Specifically, among patients with heart failure, reduced cardiac function is related to impaired global cognition [34] and executive dysfunction [35]. Such associations between heart failure and abnormal cognitive aging do not appear to be wholly attributable to vascular load or shared vascular risk factors, as heart failure patients, when compared to cardiovascular patients without heart failure, perform worse on neuropsychological measures assessing global cognition, attention, verbal fluency, and memory [27]. Similarly, neuroimaging markers of abnormal brain aging, including white matter hyperintensities (WMHs), infarcts, global atrophy, and medial temporal lobe atrophy, are increased in heart failure patients with cardiovascular disease (CVD) compared to patients without CVD [36]. With enhancements in the medical management of heart failure symptoms and progression, patients are living longer, which has allowed for the observation that, among older adults, heart failure also poses a risk for the development of dementia [29], including AD [30]. Therefore, heart failure and end-stage cardiac dysfunction serve as excellent clinical models for testing relations between cardiac dysfunction and CNS injury, including cognitive impairment, structural brain changes, and incident dementia.
FOCUSING ON CARDIAC OUTPUT AS A MEASURE OF CARDIAC FUNCTION
The hypothesized relation between cardiac function and brain aging is that reduced cardiac function alters systemic perfusion values, which then affects cerebral perfusion homeostasis. Therefore, blood flow leaving the heart and perfusing the system is a critical variable of interest when studying relations between cardiac function and brain aging. However, most prior work relating cardiac function to brain aging has emphasized ejection fraction [24,34,36], as it is a common measure for staging heart failure disease severity, it is relatively easily assessed, and it is generally stable across repeated measurements. Ejection fraction reflects the proportion of blood ejected with each heartbeat relative to total ventricular volume (measured in percent). Though ejection fraction represents the global integrity of the heart’s pumping efficiency during systolic contraction, it does not take into account diastolic relaxation, and it is frequently discordant from overall pumping capacity and subsequent systemic blood flow. Thus, it may be a limited parameter of cardiac function in the absence of end-stage heart disease.
Alternatively, cardiac output is another measure of cardiac function, which quantifies the amount of blood exiting the heart (in liters per minute, L/min). It is calculated as stroke volume (the amount of blood ejected with each cardiac cycle) multiplied by heart rate. Though cardiac output fluctuates secondary to homeostatic variables, it may serve as a better metric for assessing the relation between clinical or subclinical cardiac dysfunction and brain aging because it is a more precise measure of overall cardiac function in the absence of end-stage disease.
In fact, unpublished data from the author’s laboratory indicates that when ejection fraction and cardiac output values are compared within the same patient sample, these variables are not always consonant measures of cardiac function. That is, among a small cohort of adults (n = 68) over age 55 years with prevalent CVD who were free of end-stage heart disease, 43% of participants with normal ejection fraction had low cardiac output values. In this clinical referral sample, less than half the time (i.e., 47%) the two measurements were in agreement regarding normal versus low cardiac function status based on clinical cut-offs (see Table 1). These data support the hypothesis that ejection fraction and cardiac output can be discordant measurements, each representing something unique with regard to cardiac function with cardiac output being more reflective of systemic blood flow. Therefore, when studying cardiac function and systemic blood flow in relation to brain health, cardiac output may be the preferred variable of choice. In light of the hypothesis that systemic blood flow a ffects cerebral blood flow homeostasis and contributes to clinical or subclinical brain aging, the ensuing discussion emphasizes cardiac output as a metric of interest for studying cardiac function and systemic blood flow as they relate to CNS integrity.
Table 1.
Comparison of ejection fraction and cardiac output
Normal ejection fraction | Low ejection fraction‡ | |
---|---|---|
Normal cardiac output | n = 24 | n = 18 |
Low cardiac output† | n = 18 | n = 8 |
Note: this table illustrates that ejection fraction and cardiac output are not concordant measures of cardiac function, as all patients with low cardiac output do not always have low ejection fraction;
normal ejection fraction defined as ≥ 55% [76]; participants include 68 men and women over age 55 years with prevalent CVD; participants exclude individuals with end-stage heart failure.
CARDIAC OUTPUT AS A POTENTIAL RISK FACTOR FOR ABNORMAL BRAIN AGING
In the absence of end-stage heart failure, very little is known about how clinical or subclinical reductions in cardiac output relate to abnormal brain aging; however, it is plausible that lower cardiac output could be a risk factor for abnormal brain aging and dementia. Recent cross-sectional work from the author’s laboratory has emphasized referral-based samples of older non-demented CVD patients who are free of end-stage heart disease. These studies have detected associations between low cardiac output and cognitive and neuroimaging abnormalities. Specifically, CVD patients with low cardiac output (i.e., values less than 4.0 L/min) performed significantly worse on neuropsychological measures of executive functioning, including sequencing and planning tasks, than CVD patients with clinically normal cardiac output (i.e., values equal to or greater than 4.0 L/min) [37]. However, these two patient groups had comparable global cognitive scores (i.e., as assessed by the Mini-Mental State Exam [38]), suggesting that the between-group cognitive differences were subtle and specific to executive dysfunction. A follow-up study on a subset of these CVD patients found that cardiac output was inversely associated with WMHs, a purported neuroimaging marker of microvascular disease, such that lower cardiac output values were related to higher volumes of WMHs [39]. The result was not attenuated when adjusting for covariates, such as age, history of hypertension, or current systolic blood pressure [39]. These two clinical studies indicate that reduced cardiac output is associated with cognitive [37] and neuroimaging [39] markers of abnormal brain changes, suggesting that even subtle cardiac dysfunction (as quantified by cardiac output) is related to CNS injury.
Epidemiological work relating cardiac output to abnormal brain aging is limited despite the fact that pathological cardiac dysfunction (i.e., heart failure) is a known risk factor for dementia [29,30]. One exception is a study from the author in collaboration with the Framingham Heart Study in which among a large cohort of adults 34–84 years of age, cardiac index, i.e., cardiac output indexed for body surface area reflected as liters/minute/square meter (L/min/m2), was associated with total brain volume in multivariable models adjusting for several covariates, including age, sex, systolic blood pressure, smoking status, diabetes, atrial fibrillation, and prevalent CVD [40,41]. Results were not attenuated when participants with prevalent CVD were excluded, suggesting that the findings were independent of vascular comorbidities. Descriptive results from the study indicated that 30% of the community-based sample had low cardiac index or values less than or equal to 2.5 L/min/m2 [40,41]. When individuals with prevalent CVD were excluded, the frequency of low cardiac index remained in 30% of the sample [40, 41]. In this same study, cardiac index tertiles were compared to assess differences in brain volume across participants. Results indicated that individuals not only in the bottom tertile (i.e., < 2.5 L/min/m2 or values considered as low cardiac index) but also individuals in the middle tertile (i.e., normal cardiac index values ranging 2.5 L/min/m2 to 2.9 L/min/m2) had significantly lower total brain volumes as compared to participants in the top tertile (i.e., high normal cardiac index values > 2.9 L/min/m2) [40,41]. The cross-sectional difference between the top tertile and the two lower tertiles was equivalent to nearly two years in accelerated brain aging [40,41].
Collectively, these epidemiological results [40,41] suggest that cardiac output indexed for body surface area is associated with brain aging, as measured by total brain volume, even in the absence of prevalent CVD. Plus, the threshold at which cardiac output is associated with abnormal brain aging may be higher (i.e., in the low end of the normal cardiac index range) than the clinical threshold for defining normal cardiac output (i.e., < 2.5 L/min/m2). This latter observation could have major implications for the early identification of individuals with low or low normal cardiac index values for prevention purposes, as one third of the sample had low cardiac index, and cardiac index appears to be related to lower brain volumes even among individuals with low normal cardiac index values.
Additional studies comparing cardiac output to markers of brain aging are needed for replication of prior findings [37,39–41] and to determine the longitudinal impact of cardiac output on abnormal brain aging, including whether lower values of cardiac output act as a risk factor for AD. Once the clinical and epidemiological evidence are better integrated, future work can focus on early detection and prevention studies.
THEORETICAL MODEL ACCOUNTING FOR RELATIONS BETWEEN CARDIAC OUTPUT AND ABNORMAL BRAIN AGING
It is not yet known what mechanism(s) account for the previously reported associations between lower levels of cardiac output and abnormal brain aging [37,39–41], defined as cognitive impairment, neuroanatomical changes, and increased risk for dementia. In an effort to illustrate the proposed theoretical model accounting for possible pathways between cardiac output and abnormal brain aging, the Figure outlines a multidirectional (and working) vascular cognitive aging model that integrates complex relations between reduced cardiac output and abnormal brain aging. Some features of the model are supported by existing clinical [37,39, 42] and epidemiological evidence [41] while other features are purely hypothetical and not yet empirically supported. There are three essential elements of the model. First, genetic and environmental risk factors contribute to changes in both cardiac and brain function. Second, the model emphasizes a primary or direct pathway of injury between cardiac output and abnormal brain aging independent of shared risk factors. Third, because previously reported relations between cardiac output and brain aging may be due to an epiphenomenon, the model considers the possibility that there are indirect, intermediate pathways that account for the association between lower cardiac output and abnormal brain changes. Each of these elements is discussed below.
Fig. 1.
Working theoretical model accounting for complex relations between reduced cardiac output and abnormal brain aging. A) There are established shared environmental and genetic risk factors that contribute to reduced cardiac output and abnormal brain aging. B) The model, as identified by the grey shadowed components, posits that reduced cardiac output creates a direct pathway of injury for the brain, independent of shared risk factors, in which reduced systemic blood flow alters cerebral blood flow homeostasis. This pathway accounts, in part, for previously reported relations between cardiac function and abnormal cognitive aging (e.g., executive dysfunction [37], WMHs [39], reduced brain volume [41]). C) However, a second plausible mechanism exists in which some epiphenomenon may account for previously reported associations between lower levels of cardiac output and abnormal brain aging. That is, that there may be intermediate pathways, such as vascular stiffness or neurohumoral factors, which contribute to both reduced cardiac output and abnormal brain aging.
First, the model acknowledges that shared environmental and genetic risk factors exist between reduced cardiac output and abnormal brain aging (i.e., element “A” in the Figure). For instance, vascular risk factors are associated with abnormal brain aging, including neuroanatomical [2,3] and cognitive changes [4] as well as dementia [5,6]. Similarly, vascular risk factors can result in myocardial damage, often without overt myocardial infarction, thereby altering cardiac function [7, 8].
Second, independent of these shared risk factors, the model emphasizes a direct pathway of injury in which lower levels of cardiac output affect cerebral blood flow homeostasis and contribute directly to unhealthy brain aging (i.e., element “B” in the figure). The direct pathway of injury between cardiac function and brain aging relies on the assumption that cerebral blood flow homeostasis is affected by fluctuations in systemic blood flow. This hypothesis is modestly supported by animal [9,11] studies documenting that cerebral blood flow changes can occur secondary to manipulation in cardiac function, despite auto-regulatory mechanisms to preserve blood flow to the brain [43]. Specifically, lowering cardiac output directly reduces cerebral blood flow in ischemic brain regions in macaque monkeys [9] and chronic reductions in cardiac output are associated with a reduction in cerebral blood flow among New Zealand White rabbits [11].
The human evidence linking systemic blood flow to cerebral blood flow is limited to patients with end-stage heart failure [10,44,45]. In particular, cerebral blood flow is significantly reduced among patients with severe cardiomyopathies, but values rise when cardiac output is increased via pacing [44], and low cerebral perfusion values are restored to healthy levels following heart transplantation [10,45]. Such cerebral perfusion increases correspond to the finding that cognitive impairments improve following heart transplantation, purportedly because increases in cardiac function improve cerebral blood flow [46,47]. Collectively, these studies support the notion that auto-regulatory mechanisms for maintaining cerebral perfusion are disrupted under conditions of reduced cardiac output.
However, to date, there has been limited direct comparison between cardiac output and cerebral blood flow measurements to determine if very subtle reductions in systemic perfusion or cardiac output directly affect cerebral perfusion alterations in humans. Work from the author’s laboratory has examined healthy normative cerebral perfusion in relation to areas of WMHs among CVD patients as a function of cardiac output. Though preliminary, cross-sectional findings suggest that despite having comparable WMHs burden, patients with low cardiac output had WMHs in areas of relatively reduced cerebral perfusion while patients with normal cardiac output had WMHs in regions of relatively higher perfusion [42]. Additional studies within this research line are needed.
The last major element of the working theoretical model presented in the Figure (i.e., element “C”) takes into account the possibility that previously reported relations between cardiac output and abnormal brain aging may be due to an epiphenomenon or shared phenomenon that is not necessarily causal [37]. That is, the model takes into account additional possible intermediate pathways between lower levels of cardiac output and abnormal brain aging, such as neurohumoral factors [48], oxidative stress [49], and enhanced inflammatory markers [50,51], that may be related to both reduced cardiac function and abnormal brain changes. However, there is no empirical evidence to date to support an epiphenomenon, so future studies are required to explore possible intermediate pathways to better understand the underlying mechanism accounting for previously reported associations between cardiac output and brain aging [37,39,41,42].
NEUROBIOLOGICAL MECHANISMS ACCOUNTING FOR RELATIONS BETWEEN CARDIAC OUTPUT AND ABNORMAL BRAIN AGING
If the hypothesis that lower values of systemic blood flow directly alter cerebral blood flow homeostasis is true (as supported by the corresponding data reviewed above [9–11,44,45]), then reductions in cardiac output may contribute to clinical or subclinical brain injury via numerous mechanisms related to reduced cerebral blood flow. The discussion below reviews three possible mechanistic pathways, including (1) propagating or exacerbating neurovascular pathological processes, (2) microembolism due to thrombosis, and (3) propagating or exacerbating AD neuropathological processes. The possibility of a mixed vascular and AD mechanism is also considered.
First, the cerebral microvasculature plays an essential role in maintaining cerebral blood flow to brain tissue, and generally speaking, acute alterations in cerebral perfusion lead to changes in microvessel structure, expression of vascular cell receptors, alterations in microvessel permeability, and vascular remodeling [52, 53]. Chronic cerebral hypoperfusion contributes to the development [54,55] and progression [55] of white matter lesions in animals. In humans, structural [56] and perfusion-weighted [57] magnetic resonance imaging (MRI) reveal that WMHs (as compared to normal appearing white matter) are associated with reduced cerebral blood flow. These findings are supported by past research suggesting WMHs represent areas of ischemic tissue damage [58].
A second mechanistic pathway is microembolism due to thrombosis. Complications associated with cardiac dysfunction predispose to thrombus formation and subsequent microemboli [59]. As illustrated by animal models, thrombosis and embolism are known to affect capillary perfusion pressure, obstruct or impair cerebral blood flow, and degrade the blood-brain barrier [60, 61]. Longitudinal research shows that the presence of cerebral emboli correlate with cognitive decline over time [62]. Therefore, reductions in cardiac output may also affect CNS integrity through the propagation of thrombosis and subsequent microemboli.
A third potential pathway is based on the observation that reductions in cerebral blood flow are associated with AD neuropathology. In transgenic mouse models of AD, chronic cerebral hypoperfusion places the brain at risk for amyloid deposition, resulting in neuronal death [63]. In clinical studies, patients with AD have reduced cerebral blood flow relative to cognitively normal controls [64], and cerebral blood flow is inversely associated with dementia severity, such that as blood flow decreases, dementia severity increases [65]. Furthermore, reduced cerebral perfusion is related to conversion from prodromal AD (i.e., mild cognitive impairment) to clinical dementia [66]. These associations may be due to the evolving burden of AD neuropathology, as atrophied brain tissue has less metabolic demand than healthy tissue [67]. Alternatively, these associations may be causal in nature, such that decreases in cerebral perfusion, including oxygen and glucose delivery, contribute to the pathophysiological changes associated with AD progression [68], as supported by prior animal studies [63,69].
It is highly plausible that these vascular and AD pathological pathways co-occur, such that reduced systemic blood flow affects cerebral perfusion and contributes to the common phenomenon of mixed pathology. Mixed dementia, which includes clinical or neuropathological features of both AD and vascular dementia, is more common than originally thought. For instance, clinical data suggests mixed dementia accounts for nearly one third of all dementia cases [70]. Neuropathological data suggests that the density of vascular changes in the brain correlate with the presence of AD neuropathology, including neurofibrillary tangles [71] and amyloid-β deposition [72], suggesting microvascular damage and the pathogenesis of AD are related. Furthermore, it is well known that mixed pathology may affect the clinical expression of dementia symptoms. In a classic study by Snowdon and colleagues [73], neuropathological data revealed that the clinical expression of AD neuropathology is worse when there is concomitant vascular pathology. Specifically, those participants with neuropathologically confirmed AD plus infarcts had worse cognitive profiles than those participants with neuropathologically confirmed AD alone. More recently, clinical evidence has suggested that concomitant cerebrovascular disease in patients with prodromal AD (i.e., mild cognitive impairment) accelerates conversion to dementia [74,75]. Therefore, it is plausible that reduced systemic blood flow may affect cerebral blood flow homeostasis and contribute to mixed pathological features.
CONCLUSION
Though vascular risk factors are known to increase the risk of abnormal brain aging, the examination of cardiac function as a risk factor for AD remains a poorly understood aspect of vascular cognitive aging. The research literature examining cardiac output and brain aging in the absence of heart failure remains in its infancy, but existing clinical studies have shown that reduced cardiac output is related to executive dysfunction [37] and increased evidence of microvascular disease on MRI [39]. Recent epidemiological work suggests that lower levels of cardiac output are related to MRI markers of reduced brain volume, even when cardiac output is in the low normal range [40,41]. The purported underlying mechanism for these associations is that systemic perfusion impacts cerebral blood flow homeostasis, leading to subclinical and clinical brain injury. However, the possibility that these associations are due to some epiphenomenon cannot be ruled out.
Additional research is needed to better understand how lower levels of cardiac output are associated with abnormal brain aging. In particular, human studies using complex neuroimaging techniques, such as perfusion arterial spin labeling, are needed to assess the direct relation between systemic and cerebral blood flow patterns. Finally, it is not yet known if cardiac output poses a risk factor for AD, so transgenic animal studies are needed to better understand if reduced cardiac output contributes to the pathogenesis of AD pathology. Longitudinal epidemiological work is also needed to determine if reductions in cardiac output are predictive of cognitive decline, structural brain changes, and incident dementia over time. Once additional supporting evidence is in place, this evolving line of research can focus on early identification for prevention purposes and randomized clinical trials for treatment purposes. For instance, routine echocardiogram or more innovative cardiac MRI methods could be used to identify patients with lower levels of cardiac output who might be at risk for cognitive decline and dementia.
Acknowledgments
This research was supported by K23-AG030962 (Paul B. Beeson Career Development Award in Aging), F32-AG022773, Alzheimer’s Association IIRG-08-88733, and P30-AG013846 (Boston University Alzheimer’s Disease Core Center).
Footnotes
The author’s disclosure is available online (http://www.j-alz.com/disclosures/view.php?id=342).
References
- 1.Hebert LE, Scherr PA, Bienias JL, Bennett DA, Evans DA. Alzheimer disease in the US population: prevalence estimates using the 2000 census. Arch Neurol. 2003;60:1119–1122. doi: 10.1001/archneur.60.8.1119. [DOI] [PubMed] [Google Scholar]
- 2.Carmelli D, Swan GE, Reed T, Wolf PA, Miller BL, DeCarli C. Midlife cardiovascular risk factors and brain morphology in identical older male twins. Neurology. 1999;52:1119–1124. doi: 10.1212/wnl.52.6.1119. [DOI] [PubMed] [Google Scholar]
- 3.DeCarli C, Miller BL, Swan GE, Reed T, Wolf PA, Garner J, Jack L, Carmelli D. Predictors of brain morphology for the men of the NHLBI twin study. Stroke. 1999;30:529–536. doi: 10.1161/01.str.30.3.529. [DOI] [PubMed] [Google Scholar]
- 4.Muller M, Grobbee DE, Aleman A, Bots M, van der Schouw YT. Cardiovascular disease and cognitive performance in middle-aged and elderly men. Atherosclerosis. 2007;190:143–149. doi: 10.1016/j.atherosclerosis.2006.01.005. [DOI] [PubMed] [Google Scholar]
- 5.Borenstein AR, Wu Y, Mortimer JA, Schellenberg GD, Mc-Cormick WC, Bowen JD, McCurry S, Larson EB. Developmental and vascular risk factors for Alzheimer’s disease. Neurobiol Aging. 2005;26:325–334. doi: 10.1016/j.neurobiolaging.2004.04.010. [DOI] [PubMed] [Google Scholar]
- 6.Kivipelto M, Ngandu T, Fratiglioni L, Viitanen M, Kareholt I, Winblad B, Helkala EL, Tuomilehto J, Soininen H, Nissinen A. Obesity and vascular risk factors at midlife and the risk of dementia and Alzheimer disease. Arch Neurol. 2005;62:1556–1560. doi: 10.1001/archneur.62.10.1556. [DOI] [PubMed] [Google Scholar]
- 7.Levy D, Larson MG, Vasan RS, Kannel WB, Ho KK. The progression from hypertension to congestive heart failure. JAMA. 1996;275:1557–1562. [PubMed] [Google Scholar]
- 8.Kannel WB, Hjortland M, Castelli WP. Role of diabetes in congestive heart failure: the Framingham study. Am J Cardiol. 1974;34:29–34. doi: 10.1016/0002-9149(74)90089-7. [DOI] [PubMed] [Google Scholar]
- 9.Tranmer BI, Keller TS, Kindt GW, Archer D. Loss of cerebral regulation during cardiac output variations in focal cerebral ischemia. J Neurosurg. 1992;77:253–259. doi: 10.3171/jns.1992.77.2.0253. [DOI] [PubMed] [Google Scholar]
- 10.Gruhn N, Larsen FS, Boesgaard S, Knudsen GM, Mortensen SA, Thomsen G, Aldershvile J. Cerebral blood flow in patients with chronic heart failure before and after heart transplantation. Stroke. 2001;32:2530–2533. doi: 10.1161/hs1101.098360. [DOI] [PubMed] [Google Scholar]
- 11.Wanless RB, Anand IS, Gurden J, Harris P, Poole-Wilson PA. Regional blood flow and hemodynamics in the rabbit with adriamycin cardiomyopathy: effects of isosorbide dinitrate, dobutamine and captopril. J Pharmacol Exp Ther. 1987;243:1101–1106. [PubMed] [Google Scholar]
- 12.Mulnard RA, Cotman CW, Kawas C, van Dyck CH, Sano M, Doody R, Koss E, Pfeiffer E, Jin S, Gamst A, Grundman M, Thomas R, Thal LJ. Estrogen replacement therapy for treatment of mild to moderate Alzheimer disease: a randomized controlled trial. Alzheimer’s Disease Cooperative Study. JAMA. 2000;283:1007–1015. doi: 10.1001/jama.283.8.1007. [DOI] [PubMed] [Google Scholar]
- 13.Courtney C, Farrell D, Gray R, Hills R, Lynch L, Sellwood E, Edwards S, Hardyman W, Raftery J, Crome P, Lendon C, Shaw H, Bentham P. Long-term donepezil treatment in 565 patients with Alzheimer’s disease (AD2000): randomised double-blind trial. Lancet. 2004;363:2105–2115. doi: 10.1016/S0140-6736(04)16499-4. [DOI] [PubMed] [Google Scholar]
- 14.Williams M. Progress in Alzheimer’s disease drug discovery: an update. Curr Opin Investig Drugs. 2009;10:23–34. [PubMed] [Google Scholar]
- 15.Forette F, Seux ML, Staessen JA, Thijs L, Birkenhager WH, Babarskiene MR, Babeanu S, Bossini A, Gil-Extremera B, Girerd X, Laks T, Lilov E, Moisseyev V, Tuomilehto J, Vanhanen H, Webster J, Yodfat Y, Fagard R. Prevention of dementia in randomised double-blind placebo-controlled Systolic Hypertension in Europe (Syst-Eur) trial. Lancet. 1998;352:1347–1351. doi: 10.1016/s0140-6736(98)03086-4. [DOI] [PubMed] [Google Scholar]
- 16.Khachaturian AS, Zandi PP, Lyketsos CG, Hayden KM, Skoog I, Norton MC, Tschanz JT, Mayer LS, Welsh-Bohmer KA, Breitner JC. Antihypertensive medication use and incident Alzheimer disease: the Cache County Study. Arch Neurol. 2006;63:686–692. doi: 10.1001/archneur.63.5.noc60013. [DOI] [PubMed] [Google Scholar]
- 17.Brookmeyer R, Johnson E, Ziegler-Graham K, Arrighi HM. Forecasting the global burden of Alzheimer’s disease. Alzheimers Dement. 2007;3:186–191. doi: 10.1016/j.jalz.2007.04.381. [DOI] [PubMed] [Google Scholar]
- 18.Eisenberg S, Madison L, Sensenbach W. Cerebral hemodynamic and metabolic studies in patients with congestive heart failure. II. Observations in confused subjects. Circulation. 1960;21:704–709. doi: 10.1161/01.cir.21.5.704. [DOI] [PubMed] [Google Scholar]
- 19.Sensenbach W, Madison L, Eisenberg S. Cerebral hemodynamic and metabolic studies in patients with congestive heart failure. I. Observations in lucid subjects. Circulation. 1960;21:697–703. doi: 10.1161/01.cir.21.5.697. [DOI] [PubMed] [Google Scholar]
- 20.Cardiogenic Dementia. Lancet. 1977;1:27–28. Editorial. [PubMed] [Google Scholar]
- 21.Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A, Wager TD. The unity and diversity of executive functions and their contributions to complex “Frontal Lobe” tasks: a latent variable analysis. Cognit Psychol. 2000;41:49–100. doi: 10.1006/cogp.1999.0734. [DOI] [PubMed] [Google Scholar]
- 22.Lane RJM. ‘Cardiogenic dementia’ revisited. J R Soc Med. 1991;84:577–579. doi: 10.1177/014107689108401002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Cacciatore F, Abete P, Ferrara N, Calabrese C, Napoli C, Maggi S, Varricchio M, Rengo F. Congestive heart failure and cognitive impairment in an older population. Osservatorio Geriatrico Campano Study Group. J Am Geriatr Soc. 1998;46:1343–1348. doi: 10.1111/j.1532-5415.1998.tb05999.x. [DOI] [PubMed] [Google Scholar]
- 24.Almeida OP, Tamai S. Congestive heart failure and cognitive functioning amongst older adults. Arq Neuropsiquiatr. 2001;59:324–329. doi: 10.1590/s0004-282x2001000300003. [DOI] [PubMed] [Google Scholar]
- 25.Incalzi R, Trojano L, Acanfora D, Crisci C, Tarantino F, Abete P, Rengo F. Verbal memory impairment in congestive heart failure. J Clin Exp Neuropsychol. 2003;25:14–23. doi: 10.1076/jcen.25.1.14.13635. [DOI] [PubMed] [Google Scholar]
- 26.Lackey J. Cognitive impairment and congestive heart failure. Nurs Stand. 2004;18:33–36. doi: 10.7748/ns2004.07.18.44.33.c3645. [DOI] [PubMed] [Google Scholar]
- 27.Trojano L, Antonelli Incalzi R, Acanfora D, Picone C, Mecocci P, Rengo F. Cognitive impairment: a key feature of congestive heart failure in the elderly. J Neurol. 2003;250:1456–1463. doi: 10.1007/s00415-003-0249-3. [DOI] [PubMed] [Google Scholar]
- 28.Bornstein RA, Starling RC, Myerowitz PD, Haas GJ. Neuropsychological function in patients with end-stage heart failure before and after cardiac transplantation. Acta Neurol Scand. 1995;91:260–265. doi: 10.1111/j.1600-0404.1995.tb07001.x. [DOI] [PubMed] [Google Scholar]
- 29.Polidori MC, Mariani E, Mecocci P, Nelles G. Congestive heart failure and Alzheimer’s disease. Neurol Res. 2006;28:588–594. doi: 10.1179/016164106X130489. [DOI] [PubMed] [Google Scholar]
- 30.Qiu C, Winblad B, Marengoni A, Klarin I, Fastbom J, Fratiglioni L. Heart failure and risk of dementia and Alzheimer disease: a population-based cohort study. Arch Intern Med. 2006;166:1003–1008. doi: 10.1001/archinte.166.9.1003. [DOI] [PubMed] [Google Scholar]
- 31.Hoth KF, Poppas A, Moser DJ, Paul RH, Cohen RA. Cardiac dysfunction and cognition in older adults with heart failure. Cogn Behav Neurol. 2008;21:65–72. doi: 10.1097/WNN.0b013e3181799dc8. [DOI] [PubMed] [Google Scholar]
- 32.Vogels RL, Oosterman JM, van Harten B, Scheltens P, van der Flier WM, Schroeder-Tanka JM, Weinstein HC. Profile of cognitive impairment in chronic heart failure. JAGS. 2007;55:1764–1770. doi: 10.1111/j.1532-5415.2007.01395.x. [DOI] [PubMed] [Google Scholar]
- 33.Vogels RL, Oosterman JM, van Harten B, Gouw AA, Schroeder-Tanka JM, Scheltens P, van der Flier WM, Weinstein HC. Neuroimaging and correlates of cognitive function among patients with heart failure. Dement Geriatr Cogn Disord. 2007;24:418–423. doi: 10.1159/000109811. [DOI] [PubMed] [Google Scholar]
- 34.Zuccala G, Cattel C, Manes-Gravina E, Di Niro MG, Cocchi A, Bernabei R. Left ventricular dysfunction: a clue to cognitive impairment in older patients with heart failure. J Neurol Neurosurg Psychiatry. 1997;63:509–512. doi: 10.1136/jnnp.63.4.509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Putzke JD, Williams MA, Rayburn BK, Kirklin JK, Boll TJ. The relationship between cardiac function and neuropsychological status among heart transplant candidates. J Card Fail. 1998;4:295–303. doi: 10.1016/s1071-9164(98)90235-4. [DOI] [PubMed] [Google Scholar]
- 36.Vogels RL, van der Flier WM, van Harten B, Gouw AA, Scheltens P, Schroeder-Tanka JM, Weinstein HC. Brain magnetic resonance imaging abnormalities in patients with heart failure. Eur J Heart Fail. 2007;9:1003–1009. doi: 10.1016/j.ejheart.2007.07.006. [DOI] [PubMed] [Google Scholar]
- 37.Jefferson AL, Poppas A, Paul RH, Cohen RA. Systemic hypoperfusion is associated with executive dysfunction in geriatric cardiac patients. Neurobiol Aging. 2007;28:477–483. doi: 10.1016/j.neurobiolaging.2006.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–198. doi: 10.1016/0022-3956(75)90026-6. [DOI] [PubMed] [Google Scholar]
- 39.Jefferson AL, Tate DF, Poppas A, Brickman AM, Paul RH, Gunstad J, Cohen RA. Lower cardiac output is associated with greater white matter hyperintensities in older adults with cardiovascular disease. J Am Geriatr Soc. 2007;55:1044–1048. doi: 10.1111/j.1532-5415.2007.01226.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Jefferson AL, Beiser AS, Himali JJ, Au R, Massaro JM, Seshadri S, DeCarli C, O’Donnell CJ, Benjamin EJ, Wolf PA, Manning WJ. Systolic function is associated with brain aging: The Framingham Heart Study. Alzheimers Dement. 2008;4(Suppl):T676. [Google Scholar]
- 41.Jefferson AL, Himali J, Beiser A, Au R, Massaro J, Seshadri S, DeCarli C, O’Donnell C, Benjamin E, Wolf P, Manning W. Cardiac function is associated with brain aging: The Framingham Heart Study. Circulation. 2010 doi: 10.1161/CIRCULATIONAHA.109.905091. under review. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Jefferson AL, Holland CM, Tate DF, Poppas A, Csapo I, Cohen RA, Guttman CRG. Atlas-derived perfusion correlates of white matter hyperintensities in patients with reduced cardiac output. Neurobiol Aging. 2009 doi: 10.1016/j.neurobiolaging.2009.01.011. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Saxena PR, Schoemaker RG. Organ blood flow protection in hypertension and congestive heart failure. Am J Med. 1993;94:4S–12S. [PubMed] [Google Scholar]
- 44.Shapiro W, Chawla NP. Observations on the regulation of cerebral blood flow in complete heart block. Circulation. 1969;40:863–870. doi: 10.1161/01.cir.40.6.863. [DOI] [PubMed] [Google Scholar]
- 45.Massaro AR, Dutra AP, Almeida DR, Diniz RV, Malheiros SM. Transcranial Doppler assessment of cerebral blood flow: effect of cardiac transplantation. Neurology. 2006;66:124–126. doi: 10.1212/01.wnl.0000191397.57244.91. [DOI] [PubMed] [Google Scholar]
- 46.Deshields TL, McDonough EM, Mannen RK, Miller LW. Psychological and cognitive status before and after heart transplantation. Gen Hosp Psychiatry. 1996;18:62S–69S. doi: 10.1016/s0163-8343(96)00078-3. [DOI] [PubMed] [Google Scholar]
- 47.Roman DD, Kubo SH, Ormaza S, Francis GS, Bank AJ, Shumway SJ. Memory improvement following cardiac transplantation. J Clin Exp Neuropsychol. 1997;19:692–697. doi: 10.1080/01688639708403754. [DOI] [PubMed] [Google Scholar]
- 48.Felder RB, Francis J, Zhang ZH, Wei SG, Weiss RM, Johnson AK. Heart failure and the brain: new perspectives. Am J Physiol Regul Integr Comp Physiol. 2003;284:R259–R276. doi: 10.1152/ajpregu.00317.2002. [DOI] [PubMed] [Google Scholar]
- 49.Mariani E, Polidori MC, Cherubini A, Mecocci P. Oxidative stress in brain aging, neurodegenerative and vascular diseases: an overview. J Chromotogr B Analyt Technol Biomed Life Sci. 2005;827:65–75. doi: 10.1016/j.jchromb.2005.04.023. [DOI] [PubMed] [Google Scholar]
- 50.Jefferson AL, Massaro JM, Larson MG, Wolf PA, Au R, D’Agostino RB, Seshadri S, Lipinska I, Meigs JB, Keaney JF, Jr, Vasan RS, Beiser A, Benjamin EJ, DeCarli C. Inflammatory biomarkers are associated with total brain volume: The Framingham Heart Study. Neurology. 2007;68:1032–1038. doi: 10.1212/01.wnl.0000257815.20548.df. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Torre-Amione G, Kapadia S, Benedict C, Oral H, Young JB, Mann DL. Proinflammatory cytokine levels in patients with depressed left ventricular ejection fraction: a report from the Studies of Left Ventricular Dysfunction (SOLVD) J Am Coll Cardiol. 1996;27:1201–1206. doi: 10.1016/0735-1097(95)00589-7. [DOI] [PubMed] [Google Scholar]
- 52.del Zoppo GJ, Mabuchi T. Cerebral microvessel responses to focal ischemia. J Cereb Blood Flow Metab. 2003;23:879–894. doi: 10.1097/01.WCB.0000078322.96027.78. [DOI] [PubMed] [Google Scholar]
- 53.Hayashi T, Deguchi K, Nagotani S, Zhang H, Sehara Y, Tsuchiya A, Abe K. Cerebral ischemia and angiogenesis. Curr Neurovasc Res. 2006;3:119–129. doi: 10.2174/156720206776875902. [DOI] [PubMed] [Google Scholar]
- 54.Yoshizaki K, Adachi K, Kataoka S, Watanabe A, Tabira T, Takahashi K, Wakita H. Chronic cerebral hypoperfusion induced by right unilateral common carotid artery occlusion causes delayed white matter lesions and cognitive impairment in adult mice. Exp Neurol. 2008;210:585–591. doi: 10.1016/j.expneurol.2007.12.005. [DOI] [PubMed] [Google Scholar]
- 55.Shibata M, Ohtani R, Ihara M, Tomimoto H. White matter lesions and glial activation in a novel mouse model of chronic cerebral hypoperfusion. Stroke. 2004;35:2598–2603. doi: 10.1161/01.STR.0000143725.19053.60. [DOI] [PubMed] [Google Scholar]
- 56.Hatazawa J, Shimosegawa E, Satoh T, Toyoshima H, Okudera T. Subcortical hypoperfusion associated with asymptomatic white matter lesions on magnetic resonance imaging. Stroke. 1997;28:1944–1947. doi: 10.1161/01.str.28.10.1944. [DOI] [PubMed] [Google Scholar]
- 57.Marstrand JR, Garde E, Rostrup E, Ring P, Rosenbaum S, Mortensen EL, Larsson HB. Cerebral perfusion and cerebrovascular reactivity are reduced in white matter hyper-intensities. Stroke. 2002;33:972–976. doi: 10.1161/01.str.0000012808.81667.4b. [DOI] [PubMed] [Google Scholar]
- 58.Fazekas F, Kleinert R, Offenbacher H, Schmidt R, Kleinert G, Payer F, Radner H, Lechner H. Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology. 1993;43:1683–1689. doi: 10.1212/wnl.43.9.1683. [DOI] [PubMed] [Google Scholar]
- 59.Pullicino P, Mifsud V, Wong E, Graham S, Ali I, Smajlovic D. Hypoperfusion-related cerebral ischemia and cardiac left ventricular systolic dysfunction. J Stroke Cerebrovasc Dis. 2001;10:178–182. doi: 10.1053/jscd.2001.26870. [DOI] [PubMed] [Google Scholar]
- 60.Vosko MR, Rother J, Friedl B, Bultemeier G, Kloss CU, Hamann GF. Microvascular damage following experimental sinus-vein thrombosis in rats. Acta Neuropathol (Berl) 2003;106:501–505. doi: 10.1007/s00401-003-0755-5. [DOI] [PubMed] [Google Scholar]
- 61.Nakase H, Kempski OS, Heimann A, Takeshima T, Tintera J. Microcirculation after cerebral venous occlusions as assessed by laser Doppler scanning. J Neurosurg. 1997;87:307–314. doi: 10.3171/jns.1997.87.2.0307. [DOI] [PubMed] [Google Scholar]
- 62.Purandare N, Voshaar RC, Morris J, Byrne JE, Wren J, Heller RF, McCollum CN, Burns A. Asymptomatic spontaneous cerebral emboli predict cognitive and functional decline in dementia. Biol Psychiatry. 2007;62:339–344. doi: 10.1016/j.biopsych.2006.12.010. [DOI] [PubMed] [Google Scholar]
- 63.Aliev G, Smith MA, de la Torre JC, Perry G. Mitochondria as a primary target for vascular hypoperfusion and oxidative stress in Alzheimer’s disease. Mitochondrion. 2004;4:649–663. doi: 10.1016/j.mito.2004.07.018. [DOI] [PubMed] [Google Scholar]
- 64.Alsop DC, Detre JA, Grossman M. Assessment of cerebral blood flow in Alzheimer’s disease by spin-labeled magnetic resonance imaging. Ann Neurol. 2000;47:93–100. [PubMed] [Google Scholar]
- 65.Maalikjy Akkawi N, Borroni B, Agosti C, Pezzini A, Magoni M, Rozzini L, Prometti P, Romanelli G, Vignolo LA, Padovani A. Volume reduction in cerebral blood flow in patients with Alzheimer’s disease: a sonographic study. Dement Geriatr Cogn Disord. 2003;16:163–169. doi: 10.1159/000071005. [DOI] [PubMed] [Google Scholar]
- 66.Maalikjy Akkawi N, Borroni B, Agosti C, Magoni M, Broli M, Pezzini A, Padovani A. Volume cerebral blood flow reduction in pre-clinical stage of Alzheimer disease: evidence from an ultrasonographic study. J Neurol. 2005;252:559–563. doi: 10.1007/s00415-005-0689-z. [DOI] [PubMed] [Google Scholar]
- 67.Meltzer CC, Zubieta JK, Brandt J, Tune LE, Mayberg HS, Frost JJ. Regional hypometabolism in Alzheimer’s disease as measured by positron emission tomography after correction for effects of partial volume averaging. Neurology. 1996;47:454–461. doi: 10.1212/wnl.47.2.454. [DOI] [PubMed] [Google Scholar]
- 68.Skoog I, Kalaria RN, Breteler MM. Vascular factors and Alzheimer disease. Alzheimer Dis Assoc Disord. 1999;13(Suppl 3):S106–114. doi: 10.1097/00002093-199912003-00016. [DOI] [PubMed] [Google Scholar]
- 69.Pluta R. The role of apolipoprotein E in the deposition of beta-amyloid peptide during ischemia-reperfusion brain injury. A model of early Alzheimer’s disease. Ann N Y Acad Sci. 2000;903:324–334. doi: 10.1111/j.1749-6632.2000.tb06383.x. [DOI] [PubMed] [Google Scholar]
- 70.Aronson MK, Ooi WL, Morgenstern H, Hafner A, Masur D, Crystal H, Frishman WH, Fisher D, Katzman R. Women, myocardial infarction, and dementia in the very old. Neurology. 1990;40:1102–1106. doi: 10.1212/wnl.40.7.1102. [DOI] [PubMed] [Google Scholar]
- 71.Buee L, Hof PR, Delacourte A. Brain microvascular changes in Alzheimer’s disease and other dementias. Ann NY Acad Sci. 1997;826:7–24. doi: 10.1111/j.1749-6632.1997.tb48457.x. [DOI] [PubMed] [Google Scholar]
- 72.Kalaria RN. Cerebrovascular degeneration is related to amyloid-beta protein deposition in Alzheimer’s disease. Ann NY Acad Sci. 1997;826:263–271. doi: 10.1111/j.1749-6632.1997.tb48478.x. [DOI] [PubMed] [Google Scholar]
- 73.Snowdon DA, Greiner LH, Mortimer JA, Riley KP, Greiner PA, Markesbery WR. Brain infarction and the clinical expression of Alzheimer disease. The Nun Study. JAMA. 1997;277:813–817. [PubMed] [Google Scholar]
- 74.Rossi R, Geroldi C, Bresciani L, Testa C, Binetti G, Zanetti O, Frisoni GB. Clinical and neuropsychological features associated with structural imaging patterns in patients with mild cognitive impairment. Dement Geriatr Cogn Disord. 2007;23:175–183. doi: 10.1159/000098543. [DOI] [PubMed] [Google Scholar]
- 75.Debette S, Bombois S, Bruandet A, Delbeuck X, Lepoittevin S, Delmaire C, Leys D, Pasquier F. Subcortical hyperintensities are associated with cognitive decline in patients with mild cognitive impairment. Stroke. 2007;38:2924–2930. doi: 10.1161/STROKEAHA.107.488403. [DOI] [PubMed] [Google Scholar]
- 76.Sweitzer NK, Lopatin M, Yancy CW, Mills RM, Stevenson LW. Comparison of clinical features and outcomes of patients hospitalized with heart failure and normal ejection fraction (> or = 55%) versus those with mildly reduced (40% to 55%) and moderately to severely reduced (< 40%) fractions. Am J Cardiol. 2008;101:1151–1156. doi: 10.1016/j.amjcard.2007.12.014. [DOI] [PMC free article] [PubMed] [Google Scholar]