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P3‐155: THE DEM@CARE PROJECT SPEECH RECORDING AND AUTOMATIC ANALYSIS FOR THE ASSESSMENT OF ALZHEIMER DISEASE AND RELATED DISORDERS
Author(s) -
Satt Aharon,
König Alexandra,
Sorin Alexander,
ToledoRonen Orith,
Hoory Ron,
David Renaud,
Verhey Frans R.J.,
Aalten Pauline,
Robert Philippe H.
Publication year - 2014
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2014.05.1245
Subject(s) - dementia , verbal fluency test , audiology , cognitive impairment , psychology , cognition , fluency , alzheimer's disease , disease , speech recognition , medicine , computer science , neuropsychology , neuroscience , mathematics education
increase the risk for developing AD. Results: The study population consisted of 183 MCI patients at baseline. At follow-up, 74 patients were stable and 109 patients progressed to AD. The presence of significant depressive symptoms in MCI as measured by the CSDD (HR: 2.06; 95% CI: 1.23 3.44; p1⁄40.011) and the GDS-30 (HR: 1.77; 95% CI: 1.10 2.85; p1⁄40.025) were associated with an increased the risk of progression to AD. The severity of depressive symptoms as measured by the GDS-30 was a predictor for progression too (HR: 1.06; 95% CI: 1.01 1.11; p1⁄40.020). Furthermore, also the severity of agitated behavior, especially verbal agitation, and the presence of purposeless activity were associated risk factors for progression, whereas diurnal rhythm disturbances in our study was associated with a decreased risk of progression. Conclusions: Depressive symptoms in MCI appear to be associated with an increased risk of progression to AD.