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P3‐103: The telephone‐administered minnesota cognitive acuity screen (MCAS) is sensitive to conversion from mild cognitive impairment to dementia
Author(s) -
Tremont Geoffrey,
Springate Beth,
Papandonatos George,
Huminski Brooke,
Grace Janet,
Frakey Laura,
Ott Brian
Publication year - 2011
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.2011.05.1543
Subject(s) - dementia , medicine , cognitive impairment , neuropsychology , cognition , medical diagnosis , audiology , disease , psychiatry , pathology
idated classifications (partial least squares) of ‘stable’ vs ‘progressive’ were obtained for all combinations of predictors. The area under the ROC curve (AUC) was assessed and related to cost derived from the German medical fee schedule. Results: As single predictor, ADAS-cog was best (AUC1⁄40.77). FDG PET yielded comparable AUC1⁄40.75 at higher cost, MRI was intermediate (AUC1⁄40.62). APOE4, MMSE and CSF had little predictive power by themselves (AUCs 0.56, 0.48, 0.50). Looking at all combinations of predictors, only those including FDG achieved higher AUC than ADAS-cog alone. Combining FDG with ADAS-cog improved AUC to 0.82. Adding other predictors did not further improve AUC. Combinations of ADAS-cog with markers other than FDG led to AUCs between 0.74 and 0.77. Figure 1 shows the scatter plot of AUC vs cost for all combinations. The line connects the optimal combinations at a given cost level (demography only, MMSE, ADAS-cog, ADAS-cog plus FDG). Conclusions: In ADNIMCI subjects, ADAS-cog predicts individual 2-year cognitive decline at relatively low cost. Combination with FDG PET provides moderate improvement of predictive accuracy at significantly increased cost. More studies are needed to better understand cost-benefit of various predictors.