Predicting Dementia Due to Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia Using Algorithms with the Addenbrooke's Cognitive Examination-Revised Subscores Combined with Sociodemographic Factors.

BACKGROUND: Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are important causes of dementia with challenging differential diagnoses in many cases. Addenbrooke's Cognitive Examination-Revised (ACE-R) is a cognitive battery that may be useful to differentiate the two disorders. OBJECTIVE: The objectibe of this study is to investigate the value of the ACE-R combined with sociodemographic factors in the differential diagnosis between AD and bvFTD. METHODS: The ACE-R was administered to 102 patients with mild dementia due to probable AD, 37 with mild bvFTD, and 135 controls. Performances of patients and controls were analyzed by logistic regression and by ROC curves to refine the diagnostic accuracy of the ACE-R in AD and bvFTD. RESULTS: The ACE-R subscores Attention and Orientation, Fluency, and Memory, in combination with schooling differentiated AD from controls with an area under the ROC curve (AUC) of 0.936 (86% sensitivity and 87% specificity). The ACE-R subscores Attention and Orientation, Fluency, and Language, in combination with sex (male), age, and schooling, discriminated bvFTD from controls with an AUC of 0.908 (81% sensitivity and 95% specificity). In the differentiation between AD and bvFTD, the ACE-R subscores Attention and Orientation, Fluency, and Language, together with age, displayed an AUC of 0.865 (78% sensitivity and 85% specificity). CONCLUSION: The combination of ACE-R scores with sociodemographic data allowed good differentiation between AD and bvFTD in the study sample.

Prevalence of late-life depression and its correlates in a community-dwelling low-educated population aged 75+ years: The Pietà study.

BACKGROUND: The number of individuals with advanced age is growing worldwide, especially in developing countries. Depression is the most common mental disorder in the elderly. The aim of this study was to evaluate the prevalence rates and the correlates of late-life depression (LLD) and clinically significant depressive symptoms (CSDS) in a population aged 75+ years. METHODS: We evaluated 639 community-dwelling individuals aged 75+ years in Caeté (MG), Brazil, and used the MINI to diagnose LLD according to DSM-IV criteria and the GDS-15 to identify CSDS. Quality of life was assessed by the WHOQOL-OLD scale. RESULTS: Overall, 639 individuals (64% female, with a mean age of 81.1 ±â€¯5.2 and 2.6 ±â€¯2.8 years of schooling) were evaluated; 70 (11.1%) were diagnosed with LLD and 146 (25.6%) with CSDS. Depressed subjects (both with LLD and CSDS) had poorer measures of quality of life. Logistic regression analyses showed that LLD was independently associated to a history of falls/fracture, a diagnosis of cognitive impairment-no dementia, the number of regular drugs used, lack of reading habit and, inversely, to systolic blood pressure. LIMITATIONS: The use of MINI which has not been validated in the elderly. No information was available on the number of previous depressive episodes or on the age of first episode. CONCLUSION: Both dimensional and categorical diagnoses of depression were prevalent among community-dwelling oldest-old individuals. Different clinical and personal variables were associated with depression, which negatively influenced the quality of life of the affected individuals.