Vascular Risk Factors and Neurodegeneration in Ageing Related Dementias: Alzheimer’s Disease and Vascular Dementia

2013 ◽  
Vol 10 (6) ◽  
pp. 642-653 ◽  
Author(s):  
Rufus Akinyemi ◽  
Elizabeta Mukaetova-Ladinska ◽  
Johannes Attems ◽  
Masafumi Ihara ◽  
Raj Kalaria
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Vascular Dementia ◽  
Vascular Risk Factors ◽  
Vascular Risk

scholarly journals Hemodynamic correlates of vascular risk factors in vascular dementia and Alzheimer’s disease

Nosotchu ◽  
2010 ◽  
Vol 32 (6) ◽  
pp. 628-633
Author(s):  
Takashi Yamazaki ◽  
Daiki Takano ◽  
Tetsuya Maeda ◽  
Ken Nagata
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Vascular Dementia ◽  
Vascular Risk Factors ◽  
Vascular Risk

scholarly journals Predictors of the Progression of Dementia Severity in Brazilian Patients with Alzheimer's Disease and Vascular Dementia

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Márcia L. Chaves ◽  
Ana L. Camozzato ◽  
Cristiano Köhler ◽  
Jeffrey Kaye
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Decline ◽  
Vascular Dementia ◽  
Cox Regression ◽  
Strong Predictor ◽  
Disease Diagnosis ◽  
Vascular Risk Factors ◽  
Vascular Risk

Introduction. This study evaluates the progression of dementia and identifies prognostic risk factors for dementia.Methods. A group of 80 Brazilian community residents with dementia (34 with Alzheimer's disease and 46 with vascular dementia) was assessed over the course of 2 years. Data were analyzed with Cox regression survival analysis.Results. The data showed that education predicted cognitive decline (HR=1.2;P<.05) when analyzed without controlling for vascular risk factors. After the inclusion of vascular risk factors, education (HR=1.32;P<.05) and hypertension were predictive for cognitive decline (HR=38;P<.05), and Alzheimer's disease diagnosis was borderline predictive (P=.055).Conclusion.Vascular risk factors interacted with the diagnosis of vascular dementia. Education was a strong predictor of decline.

scholarly journals Lessons From Mixed Dementia

1997 ◽  
Vol 9 (3) ◽  
pp. 245-249 ◽  
Author(s):  
Kenneth Rockwood
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Vascular Dementia ◽  
Vascular Risk Factors ◽  
Vascular Injuries ◽  
Vascular Risk ◽  
Mixed Dementia ◽  
Dementia Syndrome

With reconsideration of the role of vascular risk factors for Alzheimer's disease (AD; Gorelick et al., 1996), and with a recent Consortium to Establish a Registry for Alzheimer's Disease (CERAD) report that pure vascular dementia may be more difficult to find than has been widely assumed (Hulette et al., 1997), it is appropriate to reevaluate our understanding of so-called mixed dementia, or the dementia syndrome that arises from the combination of AD and ischemic vascular injuries. Such a reevaluation leads to potentially important lessons, an outline of which is presented here.

scholarly journals Potentially Modifiable Risk Factors in the Development of Alzheimer’s Disease

US Neurology ◽  
2010 ◽  
Vol 05 (02) ◽  
pp. 18 ◽  
Author(s):  
Simon Forstmeier ◽  
Andreas Maercker ◽  
◽  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Emotional Health ◽  
Social Activity ◽  
Empirical Support ◽  
Epidemiological Studies ◽  
Vascular Risk Factors ◽  
Modifiable Risk Factors ◽  
Vascular Risk

This article summarises empirical findings on major potentially modifiable risk factors in the development of Alzheimer’s disease (AD), drawing on data from longitudinal epidemiological studies on the incidence of AD or any-cause dementia. Risk factors investigated to date include cognitive ability, motivational ability, emotional health, physical activity, social activity and social network, vascular risk factors and nutrition. The authors find most empirical support for two main clusters of risk factors that also represent potential targets for prevention. First, an active and stimulating lifestyle including cognitive, social, and physical activities reduces the risk of AD. Second, the absence of vascular risk factors such as diabetes, hypertension, hypercholesterol and obesity reduces the risk of AD. More prevention trials are warranted to investigate the preventative effects of an active and stimulating lifestyle on the one hand, and vascular health on the other, in delaying the onset of AD or slowing its progression.

scholarly journals Neuropsychological Deficit Profiles, Vascular Risk Factors, and Neuropathological Findings in Hispanic Older Adults with Autopsy-Confirmed Alzheimer’s Disease

2019 ◽  
Vol 67 (1) ◽  
pp. 291-302 ◽  
Author(s):  
Gali H. Weissberger ◽  
Tamar H. Gollan ◽  
Mark W. Bondi ◽  
Daniel A. Nation ◽  
Lawrence A. Hansen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Neuropsychological Deficit

scholarly journals A Warning Index Used in Prescreening for Alzheimer’s Disease, Based on Self-Reported Cognitive Deficits and Vascular Risk Factors for Dementia in Elderly Patients with Type 2 Diabetes

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Toshioki Matsuzawa ◽  
Toshihiro Takata ◽  
Koichi Yokono ◽  
Hiroo Ueda ◽  
Kensuke Moriwaki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Deficits ◽  
Normal Subjects ◽  
Routine Care ◽  
Vascular Risk Factors ◽  
Elderly Subjects ◽  
Vascular Risk ◽  
Characteristic Analysis

Background/Aims. Diabetes might increase the risk of Alzheimer’s disease (AD). For detecting dementia, it is typical to obtain informants’ perceptions of cognitive deficits, but such interviews are usually difficult in routine care. We aimed to develop a model for predicting mild to moderate AD using a self-reported questionnaire and by evaluating vascular risk factors for dementia in elderly subjects with diabetes.Methods. We recruited 286 diabetic and 155 nondiabetic elderly subjects. There were 25 patients with AD and 261 cognitively normal individuals versus 30 with AD and 125 normal subjects, respectively. Each participant answered subjective questions on memory deficits and daily functioning. Information on vascular risk factors was obtained from clinical charts, and multivariate logistic regression was used to develop a model for predicting AD.Results. The predicted probabilities used in screening for AD in diabetic subjects constituted age, education, lower diastolic blood pressure, subjective complaints of memory dysfunction noticeable by others, and impaired medication, shopping, and travel outside a familiar locality. Receiver operating characteristic analysis revealed a satisfactory discrimination for AD specific for diabetic elderly subjects, with 95.2% sensitivity and 90.6% specificity.Conclusion. This is the first useful index that can prescreen for AD in elderly subjects with diabetes.

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