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P3‐224: Evaluation of the Dr. Oz computer‐based screening tool for cognitive dysfunction
Author(s) -
Duncan Catherine,
Malmstrom Theodore,
Grossberg George,
Morley John
Publication year - 2012
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.2012.05.1446
Subject(s) - dementia , medicine , cognition , cognitive impairment , test (biology) , receiver operating characteristic , confidence interval , cognitive test , gerontology , psychiatry , disease , paleontology , biology
AD fulfilling criteria for DSM-IVand NINCDS-ADRDA (McKhann et al., 1984) and present Clinical Dementia Rating Scale (CDR) 1 or 2. At the time of data collection, was administered the mini-mental state examination (MMSE), CDR, AF and AN. We applied Student’s t-test and Chi-Square test for bivariate analysis and Pearson correlation to determine association of variables. Results: We obtained in the control group, 14 subjects and in the AD group 7 subjects. By the time the NA could only be obtained in the AD group. The average AF in the control group was 9.29 and the group of AD was 7,00, but this difference was not significant (P 1⁄4 0.259). There were significant differences between groups regarding age (P 1⁄4 0.006) and MMSE (P 1⁄4 0.000), but age showed no correlation with AF (P 1⁄4 0.390). The average of AN in the AD group was 23.57. There was no significant correlation between AF and ANAD group (P1⁄4 0.116). Conclusions: There is evidence that the AF can not change in the AD and that AF and AN did not correlate in AD, therefore, cannot be used for the same purpose. However, to draw definitive conclusions is necessary to complete the study and carry out the analysis with the full sample and pairing the subjects for age and education.