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P2‐310: SPECIFICITIES OF EARLY ONSET ALZHEIMER'S DISEASE
Author(s) -
Rollin Adeline
Publication year - 2019
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.2019.06.2717
Subject(s) - cohort , medicine , pediatrics , disease , early onset alzheimer's disease , dementia , cohort study , memory clinic , medical record
DECODE models and brief cognitive assessments in the development data. The DECODE models were consistently more accurate than the results of any of the brief cognitive assessments alone (difference in AUC all p<.001). Table 1 summarises the promising diagnostic accuracy statistics in the development and validation data. Conclusions: DECODE models are useful in a variety of settings and consistently outperform conventional brief cognitive assessments. Implementation of DECODE prediction models in clinical practice has the potential to help improve dementia diagnostic rates whilst reducing unnecessary specialist assessments.