P366
Poster Presentations: P1
subject memory impairment (SMI) in identifying those at risk of developing AD has been previously investigated. SMI appears most related to mood, rather than cognition. A recent study published an association between amyloid load at the time of self-reported memory problems (Rowe et al., 2010); however, another study failed to validate these findings (Buckley et al, 2013). To our knowledge, no study has looked at the relationship between SMI and amyloid load a decade later. In this study we aimed to determine whetherSMI is related to b-amyloid load measured a decade later. Methods: We examined the association between SMI (using 4 specific questions on self-perceived memory) determined in 2002, in 95 cognitively normal participants who also had cerebral b-amyloid load measured (by 18 F-Fluorobetaben Positron Emission Tomography) in 2012. Given previous associations of mood with SMI, we also examined the relationship between SMI and affect (Hassle score, CESD). Results: No significant associations were found between the SMI groups identified using 4 questions on memory and 18 F -SUVR measured ten years later. Associations were found between SMI and depression and anxiety. Analysis of which aspects of these mood scales were driving this association found the depressive scale items of clear-headed, p ¼ 0.012 and confused p ¼ 0.020 and the anxiety item of confused, p ¼ 0.021 were the drivers of subjective memory complaint. Conclusions: Subjective memory impairment was found to have no relationship with amyloid load determined a decade later, suggesting their limited clinical use. However, others have found such a relationship on cross-sectional studies using different methods of identifying SMI. It may be more specific questioning is needed to select for those with true pathological memory change. Further research is needed to investigate subjective impairment across different aspects of memory and cognition, and their relationship to Alzheimer’s pathology and progression to disease. It may be that multivariate modelling which weights memory reports with concurrent symptomatology and risk factors will have the greatest value in providing an early marker of those at risk of cognitive decline. P1-182
THE EFFECT OF PSYCHOLOGICAL DISTRESS AND PERSONALITY TRAITS ON COGNITIVE TEST PERFORMANCES AND THE RISK OF DEMENTIA IN PATIENTS WITH MILD COGNITIVE IMPAIRMENT
Inez Ramakers1, Steven Honings2, Pauline Aalten2, Pieter Jelle Visser1, Rudolf Ponds3, Frans R.J. Verhey1, 1Maastricht University/Alzheimer Centre Limburg, Maastricht, Netherlands; 2Maastricht University, Maastricht, Netherlands; 3MUMC/Alzheimer Centre Limburg, Maastricht, Netherlands. Contact e-mail:
[email protected] Background: Alzheimer’s Disease (AD) dementia and its prodromal stages are characterized by changes in cognition, behavior, and personality. The relation between personality traits, emotional distress, and cognitive test performances, and the predictive accuracy of personality traits and emotional distress for the development of AD dementia in subjects with Mild Cognitive Impairment (MCI) remains unclear. Methods: MCI patients (n¼ 343, age: 60.969.9 years, 38% female, and MMSE score: 28.161.8) were included from the memory clinic of the Maastricht University Medical Center. All participants underwent a standardized neuropsychological assessment (including tests for measuring information processing speed, executive functioning, memory, and verbal fluency), CT or MRI, and blood assessment. The Dutch Personality Questionnaire (NPV) and the 90-items Symptom Check List (SCL-90) were used to measure personality traits and psychological distress. Two, five, and ten years after baseline, patients were invited to participate in a follow-up assessment. Results: After correction for age, sex, and education, the Psychoneuroticism score of the SCL-90 was associated with (s)lower performances on STROOP part I and Trail Making Test (TMT) part A. In line with this, the subdomain "Inadequacy" of the NPV was associated with slower scores on the TMT part A. At follow-up, 80 (25.2%) subjects had developed dementia. Mean follow-up period was 80.8641.1 months [11-175]. After adjustment for age, sex, education and MMSE-score, no subdomain of the NPVor SCL-90 was associated with an increased risk for developing dementia. The SCL-90 subscales Somatization, Obsessive-compulsive complaints,
Sleeping problems, Psychoneuroticism, and the NPV subscales Dominance and Rigidity were related to a decreased risk of developing dementia. After correction for HDRS score, results remained essentially the same. Conclusions: Emotional distress negatively affected cognitive test performances (related to information processing speed), but was not associated with an increased risk of developing dementia in patients with MCI. P1-183
CDR ORIENTATION SCORE AS AN EXCELLENT PREDICTOR OF THE PROGRESSION TO AD IN AMNESTIC MCI INDIVIDUALS
Jee Wook Kim1, Bo Kyung Sohn2, Dahyun Yi3, Eun Hyun Seo4, Young Min Choe5, Shin Gyeom Kim6, Hyo Jung Choi7, Min Soo Byun8, Jong Inn Woo3, Dong Young Lee8, 1Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, Hwaseong-si, South Korea; 2 Seoul National University Hopsital, Seoul, South Korea; 3Seoul National University Hospital, Seoul, South Korea; 4Seoul National University, Seoul, South Korea; 5Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea; 6School of Medicine Soon Chun Hyang University, Kyunggi, South Korea; 7Department of Neuropsychiatry, Seoul National University, Seoul, South Korea; 8Seoul National University, Seoul, South Korea. Contact e-mail:
[email protected] Background: There are many evidences supporting that various neuropsychological, neuroimaging, and biochemical markers and their combinations could predict the progression to AD in mild cognitive impairment (MCI) individuals. However, many of these markers have some limitations in real clinical settings because they are complicated, expensive, invasive, or sometime unavailable. This study aimed to examine the usefulness of commonly used clinical evaluation instruments for predicting AD progression within 2 year follow-up period in amnestic MCI elderly subjects. Methods: Fifty-nine amnestic MCI subjects were evaluated at baseline with standardized clinical and neuropsychologic tests, and followed up for 2 years. The subjects were classified as 2 groups according to the clinical state at the time of 2 year follow-up evaluation: those who progressed to AD dementia (MCI+P) and those who did not progressed to AD dementia (MCI-P). Univariate analyses and multiple logistic regression analyses were conducted to investigate the ability of the various clinical instruments to predict AD progression. Results: After the 2 year follow-up period, 22 (37.3%) progressed to AD dementia and 37 (62.7%) did not. MCI+P had significantly greater mean clinical dementia rating (CDR) Sum of Boxes (CDR-SOB) and Mini-Mental State Examination (MMSE) score than MCI-P. In terms of each subscale of CDR, MCI+P individuals showed significantly lower Orientation score than MCI-P ones, while there were no significant differences in other CDR subscale scores between the two. A series of multiple logistic regression analyses including age and education as covariates demonstrated that the model including CDR Orientation score had better prediction accuracy (79.7%) than both CDR-SOB (67.8%) model and MMSE model (72.9%) although all the three models were statistically significant. Conclusions: The results suggest that in spite of its simplicity CDR Orientation subscale score could provide very useful information to predict AD dementia progression in amnestic MCI individuals in real clinical settings. P1-184
UNOBTRUSIVE PHONE MONITORING AS A NOVEL MEASURE OF COGNITIVE FUNCTION
Johanna Petersen, Daniel Austin, Jon Yeargers, Jeffrey Kaye, Oregon Health & Science University, Portland, Oregon, United States. Contact e-mail:
[email protected] Background: Cognitive health is key to overall function and wellbeing. However, standard assessments of cognition are time consuming, occur infrequently, and lack ecological validity. Given that cognitive status may fluctuate on varying time scales (e.g. daily, weekly, seasonally) and is context sensitive, it is important to develop methods of continuous, naturalistic assessment. In-home pervasive computing platforms, which continually monitor aspects of behavior corresponding to cognitive function, show great promise in this area. Here we examine whether phone use is related to cognition, with the goal of incorporating phone use into a broader set of metrics specifically tailored to monitor behavioral biomarkers
