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P3‐206: Effect of Depression Severity on Functional Impairments in Patients With Mild Cognitive Impairment
Author(s) -
Wang Sheng-Min
Publication year - 2016
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.2016.06.1868
Subject(s) - geriatric depression scale , depression (economics) , verbal fluency test , dementia , clinical dementia rating , correlation , analysis of variance , psychology , cognition , rating scale , activities of daily living , cognitive impairment , medicine , audiology , neuropsychology , psychiatry , depressive symptoms , disease , developmental psychology , geometry , mathematics , economics , macroeconomics
(fivememory and eight non-memory), evaluated measurement noninvariance of the tests by study to verify their equivalence across datasets, and defined impairment on each test as 1 standard deviation below a sample-specific mean. We then evaluated correspondence between each study’s clinical diagnosis and different combinations of algorithmic diagnoses based on (1) cognitive impairment only in 2+ tests, (2) CDR 0.5 only, and (3) both. Results: An algorithmic diagnosis only based on cognitive tests provided poor specificity (13%-84%) in each dataset (see Table). Using only the CDR revealed subtle differences across studies in how the CDR is used. Requiring cognitive impairment on 2+ tests and CDR 0.5 provided the optimal balance of sensitivity and specificity (area under the curve: 0.84 to 0.97). Conclusions: Our data suggest both cognitive tests and CDR should be combined to obtain a reliable algorithmic diagnosis with high specificity and sensitivity in these cohorts. This algorithm can be used to examine relationships with biomarkers collected in the same individuals, such as those derived from CSF, MRI and PET.