0000000000458148
AUTHOR
Caterina Claudia Ventimiglia
Metabolic Syndrome as putative independent associated/risk factor for Alzheimer’Disease and Mild Cognitive Impairment
Metabolic syndrome (MetS) is a cluster of vascular risk factors [1] that is well established to increase the risk of diabetes, cardiovascular disease, and stroke [2, 3]. MetS also appears to increase the risk of age-associated cognitive decline, overall dementia, and vascular dementia (VaD) in particular [4], but the role of MetS in Alzheimer’s disease (AD) remains inconclusive from the contrasting findings reported so far [5–11]. Amnestic Mild Cognitive Impairment (aMCI) is presumably a pathological-based prodromal stage of AD with an annual rate of conversion to dementia of 5 to 10% in community-based populations [12] and 10 to 15% among those in specialty clinics [13]. Only a few studies…
Metabolic syndrome, mild cognitive impairment and dementia: data from the cognitive impairment through aging
mild cogntiive impairment
Prevalence and Profile of Mild Cognitive Impairment in Parkinson’s Disease
<i>Background/Aims:</i> The frequency of mild cognitive impairment (MCI) in Parkinson’s disease (PD) ranges from 19 to 40%, and this is probably due to methodological differences between the studies. The aim of this study was to evaluate the frequency and profile of MCI in a large sample of nondemented PD subjects and neurologically healthy subjects (NHS). <i>Methods:</i> A total of 872 subjects (582 controls and 290 PD) were included. The association between MCI and PD was tested, using logistic regression models; odds ratios (OR) with 95% confidence intervals (CI) were calculated. <i>Results:</i> Fifty-three percent of PD subjects and 45% NHS met the cr…
Mild Parkinsonian Signs in a Hospital-based Cohort of Mild Cognitive Impairment Types: A Cross-sectional Study
Background:Mild Parkinsonian Signs (MPS) have been associated with Mild Cognitive Impairment (MCI) types with conflicting results.Objective:To investigate the association of individual MPS with different MCI types using logistic ridge regression analysis, and to evaluate for each MCI type, the association of MPS with caudate atrophy, global cerebral atrophy, and the topographical location of White Matter Hyperintensities (WMH), and lacunes.Methods:A cross-sectional study was performed among 1,168 subjects with different types of MCI aged 45-97 (70,52 ± 9,41) years, who underwent brain MRI. WMH were assessed through two visual rating scales. The number and location of lacunes were also rated…