Rey's Auditory Verbal Learning Test (RAVLT) is a widely used neuropsychological test to assess episodic memory. In the present study we sought to establish normative and discriminative validity data for the RAVLT in the elderly population using previously adapted learning lists for the Greek adult population. We administered the test to 258 cognitively healthy elderly participants, aged 60-89 years, and two patient groups (192 with amnestic mild cognitive impairment, aMCI, and 65 with Alzheimer's disease, AD). From the statistical analyses, we found that age and education contributed significantly to most trials of the RAVLT, whereas the influence of gender was not significant. Younger elderly participants with higher education outperformed the older elderly with lower education levels. Moreover, both clinical groups performed significantly worse on most RAVLT trials and composite measures than matched cognitively healthy controls. Furthermore, the AD group performed more poorly than the aMCI group on most RAVLT variables. Receiver operating characteristic (ROC) analysis was used to examine the utility of the RAVLT trials to discriminate cognitively healthy controls from aMCI and AD patients. Area under the curve (AUC), an index of effect size, showed that most of the RAVLT measures (individual and composite) included in this study adequately differentiated between the performance of healthy elders and aMCI/AD patients. We also provide cutoff scores in discriminating cognitively healthy controls from aMCI and AD patients, based on the sensitivity and specificity of the prescribed scores. Moreover, we present age- and education-specific normative data for individual and composite scores for the Greek adapted RAVLT in elderly subjects aged between 60 and 89 years for use in clinical and research settings.

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.

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Background Informant-based rating scales are widely used in dementia but patients' and caregivers' features influence the final scoring. We aimed to evaluate the role of patient- and caregiver-related factors in a caregiver rated Global Deterioration Scale (GDS) score in a sample of Greek patients with dementia. Methods We included 194 patients with dementia and 194 caregivers/family relatives; Mini-Mental State Examination (MMSE); Neuropsychiatric Inventory (NPI); Katz Index of Activities of Daily Living (K-IADL) were administered to (a) patients and Center for Epidemiologic Studies-Depression (CES-D) Scale; Zarit Burden Interview (ZBI) to (b) caregivers. Participants' demographics and patients' and caregivers' characteristics were entered into a 3-block regression analysis. Results The final model explained 55% of the total variance of the caregiver assessed GDS score. The following variables significantly contributed to the final model: MMSE (β=-0.524); K-IADL (β=-0.264); ZBI (β=0.145). Conclusion We herein confirm the contribution of patients' cognitive and functional status and caregivers' burden in caregiver rated GDS scoring irrespective of demographic-related characteristics.

Objective Considering the floor effect problems of many cognitive instruments administered in patients with dementia, we aimed to evaluate the validity and reliability of the Severe Mini‐Mental State Examination (SMMSE) for monitoring patients with moderate to severe dementia in the Greek population. Methods We included 210 patients with dementia, mostly diagnosed with Alzheimer's disease, and administered the SMMSE, the Mini‐Mental State Examination (MMSE), the Global Deterioration Scale, and the Katz Activities of Daily Living Scale (ADL). Demographic effects on SMMSE, validity, and reliability properties were initially tested for the total sample; SMMSE diagnostic accuracy was examined between subgroups of patients according to their MMSE performance; longitudinal changes over a 6‐month period were assessed for a subgroup of 100 patients. Results None of the demographic variables correlated with SMMSE score. Reliability analysis revealed high indices regarding internal consistency, inter‐rater, and test‐retest reliability. Validity analysis showed high correlation coefficients between SMMSE, MMSE, Global Deterioration Scale, and Katz Activities of Daily Living Scale (concurrent validity) and excellent discriminant validity of SMMSE to correctly categorize patients based on their MMSE score. In the longitudinal analysis, we found significant differences (1) only on SMMSE for patients with an MMSE = 0 to 6 at baseline and (2) both on SMMSE and MMSE for patients with an MMSE = 7 to 16 at baseline. No differences were detected for patients with an MMSE = 17 to 22 at baseline. Conclusions We suggest the SMMSE as quick, reliable, valid, and insensitive to demographic effects psychometric instrument to monitor cognitive changes in patients with profoundly severe dementia.