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Despite the suspected higher prevalence of dementia in first generation ethnic minority populations, little is known about their pathway to geriatric diagnostic facilities. This study describes presenting symptoms, demographic and clinical characteristics of a large cohort of patients from ethnic minority populations at their first visit to a geriatric day clinic and compares them with those of native majority (Dutch) patients. Retrospective case control study in an urban geriatric day clinic setting. Participants were 415 minority patients (cases) from 47 different countries and 428 native Dutch control patients. Measurements were demographic characteristics, cognitive screening results, informant questionnaires, neuropsychiatric and depressive symptoms and somatic comorbidity. Ethnic minority patients presented with a different profile of psychiatric and somatic comorbidity. They were younger, had longer duration of symptoms and possibly presented somewhat later in the course of the dementia than the controls. Minority patients had more neuropsychiatric and depressive symptoms than native Dutch patients. They also had more often somatic comorbidities than controls, especially diabetes mellitus. Clinicians in geriatric diagnostic facilities should be aware of the younger age at presentation and the high prevalence of some specific risk factors for dementia in ethnic minority patients. [ABSTRACT FROM AUTHOR]

Abstract Background Falls in frail elderly are a common problem with a rising incidence. Gait and postural instability are major risk factors for falling, particularly in geriatric patients. As walking requires attention, cognitive impairments are likely to contribute to an increased fall risk. An objective quantification of gait and balance ability is required to identify persons with a high tendency to fall. Recent studies have shown that stride variability is increased in elderly and under dual task condition and might be more sensitive to detect fall risk than walking speed. In the present study we complemented stride related measures with measures that quantify trunk movement patterns as indicators of dynamic balance ability during walking. The aim of the study was to quantify the effect of impaired cognition and dual tasking on gait variability and stability in geriatric patients. Methods Thirteen elderly with dementia (mean age: 82.6 ± 4.3 years) and thirteen without dementia (79.4 ± 5.55) recruited from a geriatric day clinic, walked at self-selected speed with and without performing a verbal dual task. The Mini Mental State Examination and the Seven Minute Screen were administered. Trunk accelerations were measured with an accelerometer. In addition to walking speed, mean, and variability of stride times, gait stability was quantified using stochastic dynamical measures, namely regularity (sample entropy, long range correlations) and local stability exponents of trunk accelerations. Results Dual tasking significantly (p < 0.05) decreased walking speed, while stride time variability increased, and stability and regularity of lateral trunk accelerations decreased. Cognitively impaired elderly showed significantly (p < 0.05) more changes in gait variability than cognitive intact elderly. Differences in dynamic parameters between groups were more discerned under dual task conditions. Conclusions The observed trunk adaptations were a consistent instability factor. These results support the concept that changes in cognitive functions contribute to changes in the variability and stability of the gait pattern. Walking under dual task conditions and quantifying gait using dynamical parameters can improve detecting walking disorders and might help to identify those elderly who are able to adapt walking ability and those who are not and thus are at greater risk for falling.

Detecting dementia in people who are illiterate or have a low level of education is complicated because many cognitive screening tests are not suitable for these persons. Caregiver or informant-based judgment of cognitive status may aid diagnosis. Our goal was to investigate the diagnostic accuracy of the Informant Questionnaire for Cognitive Decline in the Elderly (IQCODE) in a population of elderly non-Western migrants with a high illiteracy rate. Second, we wanted to investigate the diagnostic accuracy of IQCODE and Rowland Universal Dementia Screening (RUDAS) combined. 109 geriatric outpatients and 20 community controls were included. Geriatricians provided a research diagnosis of intact cognition (n = 27), mild cognitive impairment (MCI; n = 33) or dementia (n = 49). Diagnostic accuracy was calculated for the clinical sample (n = 109). ROC curves for prediction of group status for IQCODE, RUDAS and the combination of both were created. Predictive validity was high for both IQCODE and RUDAS and was highest for the combination (Area Under the Curve.91). Sensitivity, specificity, Youden index, predictive value, and likelihood ratio for IQCODE and RUDAS are reported. In this study in non-Western elderly migrants, half of whom were illiterate, the IQCODE proved to be a valid instrument for dementia detection, and adding the RUDAS increased accuracy. Combining performance-based and informant-based data is recommended to enhance diagnostic precision. [ABSTRACT FROM AUTHOR]

Abstract Amyloid β is an in vitro substrate for P-glycoprotein (P-gp), an efflux pump at the blood brain barrier (BBB). The Multi Drug Resistance (ABCB1) gene, encoding for P-gp, is highly polymorphic and this may result in a changed function of P-gp and may possibly interfere with the pathogenesis of Alzheimer's disease. This study investigates to what extent ABCB1 Single Nucleotide Polymorphisms (SNPs; C1236T in exon 12, G2677T/A in exon 21 and C3435T in exon 26) and inferred haplotypes exist in an elderly population and if these SNPs and haplotypes differ between patients with dementia and age-matched non-demented control patients. ABCB1 genotype, allele and haplotype frequencies were neither significantly different between patients with dementia and age-matched controls, nor between subgroups of different types of dementia nor age-matched controls. This study shows ABCB1 genotype frequencies to be comparable with described younger populations. To our knowledge this is the first study on ABCB1 genotypes in dementia. ABCB1 genotypes are presently not useful as a biomarker for dementia, as they were not significantly different between demented patients and age-matched control subjects.

Background: Anticholinergic and sedative medications are frequently prescribed to older individuals. These medications are associated with short-term cognitive and physical impairment, but less is known about long-term associations. We therefore examined whether over 20 years cumulative exposure to these medications was related to poorer cognitive and physical functioning.Methods: Older adult participants of the Longitudinal Aging Study Amsterdam (LASA) were followed from 1992 to 2012. On seven measurement occasions, cumulative exposure to anticholinergic and sedative medications was quantified with the drug burden index (DBI), a linear additive pharmacological dose-response model. Cognitive functioning was assessed with the Mini-Mental State Examination (MMSE), Alphabet Coding Task (ACT, three trials), Auditory Verbal Learning Test (AVLT, learning and retention condition), and Raven Colored Progressive Matrices (RCPM, two trials). Physical functioning was assessed with the Walking Test (WT), Cardigan Test (CT), Chair Stands Test (CST), Balance Test (BT), and self-reported Functional Independence (FI). Data were analyzed with linear mixed models adjusted for age, education, sex, living with a partner, BMI, depressive symptoms, comorbidities (cardiovascular disease, diabetes, cancer, COPD, osteoarthritis, CNS diseases), and prescribed medications.Results: Longitudinal associations were found of the DBI with poorer cognitive functioning (less items correct on the three ACT trials, AVLT learning condition, and the two RCPM trials) and with poorer physical functioning (longer completion time on the CT, CST, and lower self-reported FI).Conclusions: This longitudinal analysis of data collected over 20 years, showed that higher long-term cumulative exposure to anticholinergic and sedative medications was associated with poorer cognitive and physical functioning. [ABSTRACT FROM AUTHOR]