OBJECTIVE: To validate a neuropsychological algorithm for dementia diagnosis. METHODS: We developed a neuropsychological algorithm in a sample of 1,023 elderly residents of Cache County, UT. We compared algorithmic and clinical dementia diagnoses both based on DSM-III-R criteria. The algorithm diagnosed dementia when there was impairment in memory and at least one other cognitive domain. We also tested a variant of the algorithm that incorporated functional measures that were based on structured informant reports. RESULTS: Of 1,023 participants, 87% could be classified by the basic algorithm, 94% when functional measures were considered. There was good concordance between basic psychometric and clinical diagnoses (79% agreement, kappa = 0.57). This improved after incorporating functional measures (90% agreement, kappa = 0.76). CONCLUSIONS: Neuropsychological algorithms may reasonably classify individuals on dementia status across a range of severity levels and ages and may provide a useful adjunct to clinical diagnoses in population studies.
OBJECTIVE: To validate a neuropsychological algorithm for dementia diagnosis. METHODS: We developed a neuropsychological algorithm in a sample of 1,023 elderly residents of Cache County, UT. We compared algorithmic and clinical dementia diagnoses both based on DSM-III-R criteria. The algorithm diagnosed dementia when there was impairment in memory and at least one other cognitive domain. We also tested a variant of the algorithm that incorporated functional measures that were based on structured informant reports. RESULTS: Of 1,023 participants, 87% could be classified by the basic algorithm, 94% when functional measures were considered. There was good concordance between basic psychometric and clinical diagnoses (79% agreement, kappa = 0.57). This improved after incorporating functional measures (90% agreement, kappa = 0.76). CONCLUSIONS: Neuropsychological algorithms may reasonably classify individuals on dementia status across a range of severity levels and ages and may provide a useful adjunct to clinical diagnoses in population studies.
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Authors: Stephen R Rapp; Claudine Legault; Victor W Henderson; Robert L Brunner; Kamal Masaki; Beverly Jones; John Absher; Leon Thal Journal: Alzheimer Dis Assoc Disord Date: 2010 Jul-Sep Impact factor: 2.703
Authors: JoAnn T Tschanz; Chris D Corcoran; Sarah Schwartz; Katherine Treiber; Robert C Green; Maria C Norton; Michelle M Mielke; Kathleen Piercy; Martin Steinberg; Peter V Rabins; Jeanne-Marie Leoutsakos; Kathleen A Welsh-Bohmer; John C S Breitner; Constantine G Lyketsos Journal: Am J Geriatr Psychiatry Date: 2011-06 Impact factor: 4.105
Authors: Heidi Wengreen; Ronald G Munger; Adele Cutler; Anna Quach; Austin Bowles; Christopher Corcoran; Joann T Tschanz; Maria C Norton; Kathleen A Welsh-Bohmer Journal: Am J Clin Nutr Date: 2013-09-18 Impact factor: 7.045