IMPORTANCE Cerebral amyloid-β aggregation is an early event in Alzheimer disease (AD). Understanding the association between amyloid aggregation and cognitive manifestation in persons without dementia is important for a better understanding of the course of AD and for the design of prevention trials. OBJECTIVE To investigate whether amyloid-β aggregation is associated with cognitive functioning in persons without dementia. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study included 2908 participants with normal cognition and 4133 with mild cognitive impairment (MCI) from 53 studies in the multicenter Amyloid Biomarker Study. Normal cognition was defined as having no cognitive concerns for which medical help was sought and scores within the normal range on cognitive tests. Mild cognitive impairment was diagnosed according to published criteria. Study inclusion began in 2013 and is ongoing. Data analysis was performed in January 2017. MAIN OUTCOMES AND MEASURES Global cognitive performance as assessed by the Mini-Mental State Examination (MMSE) and episodic memory performance as assessed by a verbal word learning test. Amyloid aggregation was measured with positron emission tomography or cerebrospinal fluid biomarkers and dichotomized as negative (normal) or positive (abnormal) according to study-specific cutoffs. Generalized estimating equations were used to examine the association between amyloid aggregation and low cognitive scores (MMSE score ≤27 or memory z score≤−1.28) and to assess whether this association was moderated by age, sex, educational level, or apolipoprotein E genotype. RESULTS Among 2908 persons with normal cognition (mean [SD] age, 67.4 [12.8] years), amyloid positivity was associated with low memory scores after age 70 years (mean difference in amyloid positive vs negative, 4% [95% CI, 0%–7%] at 72 years and 21% [95% CI, 10%–33%] at 90 years) but was not associated with low MMSE scores (mean difference, 3% [95% CI, −1% to 6%], P = .16). Among 4133 patients with MCI (mean [SD] age, 70.2 [8.5] years), amyloid positivity was associated with low memory (mean difference, 16% [95% CI, 12%–20%], P < .001) and low MMSE (mean difference, 14% [95% CI, 12%–17%], P < .001) scores, and this association decreased with age. Low cognitive scores had limited utility for screening of amyloid positivity in persons with normal cognition and those with MCI. In persons with normal cognition, the age-related increase in low memory score paralleled the age-related increase in amyloid positivity with an intervening period of 10 to 15 years. CONCLUSIONS AND RELEVANCE Although low memory scores are an early marker of amyloid positivity, their value as a screening measure for early AD among persons without dementia is limited.

The APOE ε4 prevalence in AD was higher than that in previous studies, which did not require presence of Aβ pathology. Furthermore, our results highlight disease heterogeneity related to age and geographical location.

IntroductionThe Stroke and Cognition consortium (STROKOG) aims to facilitate a better understanding of the determinants of vascular contributions to cognitive disorders and help improve the diagnosis and treatment of vascular cognitive disorders (VCD).MethodsLongitudinal studies with ≥75 participants who had suffered or were at risk of stroke or TIA and which evaluated cognitive function were invited to join STROKOG. The consortium will facilitate projects investigating rates and patterns of cognitive decline, risk factors for VCD, and biomarkers of vascular dementia.ResultsCurrently, STROKOG includes 25 (21 published) studies, with 12,092 participants from five continents. The duration of follow-up ranges from 3 months to 21 years.DiscussionAlthough data harmonization will be a key challenge, STROKOG is in a unique position to reuse and combine international cohort data and fully explore patient level characteristics and outcomes. STROKOG could potentially transform our understanding of VCD and have a worldwide impact on promoting better vascular cognitive outcomes.

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Dementia affects up to 30% of stroke survivors 3 months after stroke. The goal of this study was to determine the risk factors of poststroke dementia (PSD) in a cohort of consecutive stroke patients in Poland. A standard stroke evaluation was conducted on admission in 220 consecutive patients with ischemic/hemorrhagic stroke after excluding 30 (12%) patients with prestroke dementia. After 3 months, the survivors completed a comprehensive neuropsychological examination. The DSM-IV definition was used for diagnosis of dementia. Dementia was diagnosed in 44 (22.6%) patients 3 months after stroke. In logistic regression analysis, age (OR 1.08, 95% CI 1.04–1.14, p < 0.001), diabetes mellitus (OR 2.67, 95% CI 1.06–6.57, p = 0.03) and neurological deficit on admission (OR 0.92, 95% CI 0.89–0.96, p < 0.001) were independently associated with PSD in the Polish hospital-based population.

Background: Oxidative stress plays a role in atherosclerosis. Human paraoxonase (PON) gene products exhibit antioxidant properties. We studied the significance of the Q192R and M55L polymorphisms of the PON1 gene and the C311S polymorphism of the PON2 gene in different etiologies of ischemic stroke. Methods: One hundred and thirty-six patients with large vessel disease (LVD) stroke, 140 with small vessel disease stroke, 272 with cardioembolic stroke, and their age- and sex-matched controls were included. PON genotypes were evaluated by PCR-RFLP analyses. Results: The distribution of PON1 polymorphisms was similar in each stroke group and in the respective controls. Genotypes with the C allele of the PON2 gene C311S polymorphism were overrepresented in LVD stroke patients as compared with their controls, both in univariate and multivariate (dominant model: OR = 1.58, 95% CI: 1.006–2.48) analyses. Conclusion: The genotype with the C allele of the PON2 gene is a risk factor for LVD stroke in a Polish population.

Delirium is the most common and serious neurobehavioral complication in acute hospital admissions. Some patients develop signs of delirium but do not meet all diagnostic criteria. Stroke is a major risk factor for delirium. The aim of this prospective study was to build a predictive model for delirium and subsyndromal post-stroke delirium. Patients with stroke were screened for delirium during the first 7 days after admission. Delirium was diagnosed according to DSM-V criteria. Baseline demographic, biochemical, stroke-related data, medications used, neurological deficit, and premorbid cognitive and functional impairment were assessed. 750 consecutive stroke patients (71.75 ± 13.13 years) were recruited; 203 (27.07%) had delirium. In predictive model for delirium MoCA score and white blood count on admission, neglect, vision deficits, physical impairment, and higher comorbidity prior to stroke had the highest predictive value. Subsyndromal delirium was diagnosed in 60 patients. MoCA score and potassium level on admission, and urinary tract infection during hospitalization had the highest predictive value for its development. Delirium occurs in one-fourth of admissions due to stroke; subsyndromal delirium is less prevalent and affects less than one per ten patients. The hyperactive form is the most rare type of delirium. The factors best predicting delirium are easily assessed in everyday practice and their co-occurrence in patients with stroke should alert the treating physician of high risk of delirium.

Results of our study support the hypothesis of competition between the implicit and explicit memory systems in humans.