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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Manifestaciones Clínicas
Ileana De Anda-Duran1, Phillip H Hwang2, Laura A Salciunas3
1Celia Scott Weatherhead Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Background:
The Digital Assessment of Cognition (DAC) is a self-administered digital neuropsychological protocol requiring approximately 7 minutes to administer, either in-clinic or remotely. The DAC yields numerous metrics including episodic memory and working memory indices. The current research assessed relationships between the DAC and traditional paper/pencil neuropsychological tests.
Method:
171 memory clinic patients were assessed with the DAC. A k-mean cluster analysis classified patients presenting with dysexecutive MCI (n = 34); amnestic MCI (n = 20); mixed MCI (n = 43); dementia (n = 26,) and normal cognition (NC, n = 48). A portion of these patients (n = 107) were assessed with a protocol of paper/pencil neuropsychological tests assessing five neurocognitive domains: attention (WAIS-IV Digits Forward, Trails A); working memory (WMS-IV Symbol Span, letter fluency), processing speed (Trails B, WAIS-III Digit Symbol), language (Boston Naming Test, WAIS-III Similarities), and episodic memory (CVLT-9 delayed free recall/recognition). Using normative values, tests were averaged to create five paper/pencil indices.
Result:
The concordance between k-mean and paper/pencil classification was 89%. When a linear, stepwise regression analysis (DAC memory index = dependent variable; five paper/pencil indices = independent variables) was conducted, the paper/pencil episodic memory index entered first (beta=0.538, p <0.001) followed by the paper/pencil language index (beta=0.302, p <0.001). When a similar regression analysis for the DAC executive index was conducted, the paper/pencil working memory index entered first (beta=0.503, p <0.001), followed by the paper/pencil attention index (beta=0.288, p <0.001), followed by the paper/pencil memory index (beta=0.163, p <0.017). A multinomial logistic regression analysis (NC = reference group) found that the paper/pencil attention (Wald=6.15, p <0.013) and working memory indices (Wald=7.88, p <0.005) classified patients into the dMCI group; only the paper/pencil episodic memory index (Wald=15.08, p <0.001) classified patients into the aMCI group; both the paper/pencil working memory (Wald=11.02, p <0.001) and episodic memory indices (Wald=5.43, p <0.020) classified patients into the mixed MCI group; and the paper/pencil working memory (Wald=9.11, p <0.001), language (Wald=3.72, p <0.050) and episodic memory indices (Wald=9.49, p <0.001) classified patients into the dementia group CONCLUSION: These data provide evidence for both the construct and criterion validity of the DAC. The parsimony and ease associated with DAC administration/scoring suggests that the DAC can be deployed as a frontline assessment to flag emergent cognitive impairment.
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