Differential Effect of Demographics, Processing Speed, and Depression on Cognitive Function in 755 Non-demented Community-dwelling Elderly Individuals.

BACKGROUND: Several factors may account for inter- and intra-individual variability in cognitive functions, including age, gender, education level, information processing speed, and mood. OBJECTIVE: To evaluate the combined contribution of demographic factors, information processing speed, and depressive symptoms to scores on several diagnostic cognitive measures that are commonly used in geriatric neuropsychological practice in Greece. METHODS: Using a cross-sectional study, we established a multivariate general linear model and analyzed the predictive role of age, gender, education, information processing speed (Trail Making Test-Part A), and depressive symptoms (Geriatric Depression Scale-15 Items) on measures of general cognitive status (Mini-Mental State Examination), verbal memory (Rey Auditory Verbal Learning Test), language (Confrontation Naming), and executive functions (Category and Phonemic Fluency, Trail Making Test-Part B) for a sample of 755 healthy, community-dwelling Greek individuals aged 50 to 90 years. RESULTS: Participant factors significantly but differentially contributed to cognitive measures. Demographic factors and information processing speed emerged as the significant predictors for the majority of the cognitive measures (Mini-Mental State Examination; Rey Auditory Verbal Learning Test; Confrontation Naming; Category and Phonemic Fluency; Trail Making Test-Part B), whereas depressive symptoms significantly predicted verbal memory and semantic fluency measures (Rey Auditory Verbal Learning Test and Category Fluency). CONCLUSIONS: Clinicians should consider participant demographics, underlying slowing of processing speed, and depressive symptoms as potential confounding factors in cognitive measures. Our findings may explain the observed inter- and intra-individual variability in cognitive functions in the elderly population.

CADASIL and autoimmunity: coexistence in a family with the R169C mutation at exon 4 of the NOTCH3 gene.

BACKGROUND: Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is an inherited small vessel disease caused by mutations of the NOTCH3 gene, which result in degeneration of vascular smooth muscle cells, arteriolar stenosis, and impaired cerebral blood flow. For clinicians this is the commonest hereditary adult-onset condition causing stroke and vascular dementia at middle age. Atypical phenotypes have been recognized, and the disease is probably underdiagnosed in the wider stroke population. Coexistence of autoimmunity is atypical and has been described only in occasional patients. METHODS: Three members of a Greek family from the island of Lesvos of North East Greece were evaluated. The patients come from a four-generation family in which there were at least seven members with clinical data suggestive of CADASIL. We describe here the clinical, imaging and biochemical findings in this family with R169C mutation at exon 4 and presenting additional clinical and biochemical findings suggestive of autoimmune disorder. DNA was extracted from whole blood using standard procedures for sequencing. RESULTS: Three affected members of this family carried the R169C. In a phenotypic analysis of affected individuals from four generations with CADASIL, the disease was characterized by migraine attacks, recurrent subcortical infarcts, and cognitive decline with typical anterior temporal lobe white matter lesions. At least 3 mutation carriers from two generations had increased antinuclear antibody (ANA) titers and various combinations of rash, joint pains, photosensitivity, and renal involvement. CONCLUSION: This is a rare description of the coexistence of autoimmunity in CADASIL patients with possible worsening clinical effects. The study extends the spectrum of atypical presentation of CADASIL. The coexistence of autoimmunity does not necessarily exclude CADASIL, but may cause an additional diagnostic and therapeutic challenge. This autoimmune disorder may have increased the severity of the disease and, additionally, may be related to the pathogenetic mechanisms of CADASIL. It is possible that the NOTCH3 mutation alone is not enough to trigger autoimmunity since, in the case of our family, the R169C mutation has already been described in other families with no evidence of coexistent autoimmunity. Other genetic or environmental factors or interactions and/or common pathways between the vascular and immune systems are probably co-operating. Further, prospective studies are needed to clarify the prevalence and types of autoimmune disorders present in CADASIL families.

Prevalence of atrial fibrillation in Greece: the Arcadia Rural Study on Atrial Fibrillation.

INTRODUCTION: Atrial fibrillation (AF) is a major factor for stroke and stroke-associated mortality, and its incidence is increasing during the last decades. There are only scarce data about its prevalence in Greece. We designed an epidemiological cross-sectional study to estimate the prevalence of AF in Greece and evaluate the adequacy of anticoagulant treatment in AF patients. SUBJECTS AND METHODS: The Arcadia Rural Study on Atrial Fibrillation (ARSAF) was conducted between 2002-2003 in five rural villages of the Arcadia province (Greece) with a permanent population of 1312 individuals. Patients had a thorough medical examination and electrocardiogram, and information was collected about their medical history and comorbidities. CHADS2 score was used to determine stroke risk for participants with AF. RESULTS: 1155 subjects (88% of the entire population) participated in the study. The overall prevalence of AF was 3.9% showing an increasing trend with increasing age ranging from 0.4% in patients <55 years to 10.7% in patients > 84 years. Among patients with AF, 14 (32%) had paroxysmal AF. The presence of AF was associated with increasing age (OR: 1.67 for every 10 years increase, 95% CI: 1.26-2.15), hypertension (OR: 2.12, 95% CI: 1.02-4.14), heart failure (OR: 11.85, 95% CI: 4.92-28.56) and prior cerebrovascular disease (OR: 4.17, 95% CI: 1.44-12.06). Among these subjects with AF, 12 (26.6%) were considered as low-risk (CHADS2 = 0), 18 (40.0%) as intermediate-risk (CHADS2 = 1), and 15 (33.3%) as high-risk (CHADS2 > 1) patients for stroke. 25 (55.5%) patients with AF did not receive appropriate antithrombotic treatment. CONCLUSION: The prevalence of AF in Greece is similar to other countries and increases with increasing age.

Stroke etiology is associated with symptom onset during sleep.

BACKGROUND AND OBJECTIVES: Almost every fifth stroke occurs during sleep. Data about characteristics and etiology of stroke during sleep are conflicting. We investigated the association of the activity at stroke onset (onset during night sleep vs. onset while awake) with stroke subtypes of different etiology. METHODS: A total of 1448 patients with first-ever stroke with known time of symptom presentation were prospectively evaluated. Statistical comparisons were performed between patients with stroke during sleep and stroke while awake in terms of demographic features, known risk factors, vascular comorbidities, and stroke subtypes. Multiple variable logistic regression analyses were performed to identify predictor variables (including stroke risk factors and stroke subtypes) for stroke during sleep. RESULTS: Stroke during sleep was documented in 264 cases (18.2%). In subjects with stroke during sleep, lacunar infarction was the most prevalent stroke subtype (39%), while in patients with stroke while awake, small-vessel disease was the underlying mechanism significantly (P < .001) less often (13.8%). In contrast, patients with stroke while awake suffered significantly (P < .001) more frequently from intracerebral hemorrhage (18.2%) and cardioembolic stroke (34.9%) when compared with subjects with stroke during sleep (6.4% and 18.9%, respectively). The multiple variable logistic regression model identified the following factors as independent predictors of stroke during sleep: atrial fibrillation (odds ratio: 0.346, 95% confidence interval: 0.237-0.505, P < .001) and intracerebral hemorrhage versus ischemic stroke (odds ratio: 0.238, 95% confidence interval: 0.138-0.410, P < .001). Lacunar infarction was the only ischemic stroke subgroup that was positively associated with stroke during sleep (odds ratio: 2.568, 95% confidence interval: 1.447-4.560, P < .001). CONCLUSIONS: There are significant differences between stroke during sleep and stroke while awake concerning vascular risk profile and stroke etiologic subtypes.