Performance of Digital Cognitive Assessment in Predicting Dementia Stages Delineated by Dementia Severity Rating Scale: Retrospective Study (Preprint) Article Swipe
Duong P. Huynh
,
Kevin Sun
,
Mary Patterson
,
Reza Hosseini Ghomi
,
Bin Huang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2196/preprints.65292
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.2196/preprints.65292
BACKGROUND Dementia is characterized by impairments in an individual’s cognitive and functional abilities. Digital cognitive assessments have been shown to be effective in detecting mild cognitive impairment and dementia but whether they can stage the disease remains to be studied. OBJECTIVE In this study, we examined: (1) the correlation between scores obtained from BC-Assess, a digital cognitive assessment, and scores obtained from the Dementia Severity Rating Scale (DSRS), and (2) the accuracy of using the BC-Assess score to predict dementia stage delineated by the DSRS score. We also explored whether BC-Assess can be combined with information from the Katz Index of Independence in Activities of Daily Living (ADL) to obtain enhanced accuracy. METHODS Retrospective analysis was performed on a BrainCheck dataset containing 1,751 dementia patients with different cognitive and functional assessments completed for cognitive care planning, including the DSRS, the ADL, and the BC-Assess. The patients were staged according to their DSRS total score (DSRS-TS): 982 mild (DSRS-TS: 10-18), 656 moderate (19-26), and 113 severe (37-54) patients. Pearson correlation was used to assess the associations between BC-Assess overall score (BC-OS), ADL total score (ADL-TS), and DSRS-TS. Logistic regression was used to evaluate the possibility of using patients’ BC-OS and ADL-TS to predict their stage. RESULTS We find moderate Pearson correlations between DSRS-TS and BC-OS (r = -.53), between DSRS-TS and ADL-TS (r = -.55), and a weak correlation between BC-OS and ADL-TS (r = .37). Both BC-OS and ADL-TS significantly decrease with increasing severity. BC-OS demonstrates to be a good predictor of dementia stages, with area under the ROC curve (ROC-AUC) of classification using logistic regression ranging from .733 to .917. When BC-Assess is combined with ADL, higher prediction accuracies are achieved, with ROC-AUC ranging from .786 to .961. CONCLUSIONS Our results suggest that BC-Assess could serve as an effective alternative tool to DSRS for grading dementia severity, particularly in cases where DSRS, or other global assessments, may be challenging to obtain due to logistical and time constraints.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2196/preprints.65292
- https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/preprints/preprint-65292-submitted.pdf
- OA Status
- gold
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401688291
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401688291Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2196/preprints.65292Digital Object Identifier
- Title
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Performance of Digital Cognitive Assessment in Predicting Dementia Stages Delineated by Dementia Severity Rating Scale: Retrospective Study (Preprint)Work title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-08-13Full publication date if available
- Authors
-
Duong P. Huynh, Kevin Sun, Mary Patterson, Reza Hosseini Ghomi, Bin HuangList of authors in order
- Landing page
-
https://doi.org/10.2196/preprints.65292Publisher landing page
- PDF URL
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https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/preprints/preprint-65292-submitted.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/preprints/preprint-65292-submitted.pdfDirect OA link when available
- Concepts
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Dementia, Preprint, Rating scale, Scale (ratio), Clinical Dementia Rating, Cognition, Psychology, Medicine, Psychiatry, Cognitive impairment, Computer science, Developmental psychology, Cartography, Internal medicine, Geography, World Wide Web, DiseaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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36Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works_count | 36 |
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| abstract_inverted_index..917. | 277 |
| abstract_inverted_index..961. | 295 |
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| abstract_inverted_index.-.55), | 230 |
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| abstract_inverted_index.score. | 88 |
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| abstract_inverted_index.study, | 46 |
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| abstract_inverted_index.(DSRS), | 70 |
| abstract_inverted_index.10-18), | 163 |
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| abstract_inverted_index.whether | 31, 92 |
| abstract_inverted_index.(19-26), | 166 |
| abstract_inverted_index.(BC-OS), | 184 |
| abstract_inverted_index.DSRS-TS. | 190 |
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| abstract_inverted_index.Logistic | 191 |
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| abstract_inverted_index.logistic | 271 |
| abstract_inverted_index.moderate | 165, 214 |
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| abstract_inverted_index.patients | 129, 150 |
| abstract_inverted_index.studied. | 40 |
| abstract_inverted_index.(ADL-TS), | 188 |
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| abstract_inverted_index.(ROC-AUC) | 267 |
| abstract_inverted_index.BC-Assess | 78, 93, 181, 279, 303 |
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| abstract_inverted_index.effective | 22, 308 |
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| abstract_inverted_index.planning, | 140 |
| abstract_inverted_index.predictor | 257 |
| abstract_inverted_index.severity, | 316 |
| abstract_inverted_index.severity. | 250 |
| abstract_inverted_index.(DSRS-TS): | 159 |
| abstract_inverted_index.Activities | 106 |
| abstract_inverted_index.BC-Assess, | 56 |
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| abstract_inverted_index.BrainCheck | 124 |
| abstract_inverted_index.abilities. | 13 |
| abstract_inverted_index.accuracies | 286 |
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| abstract_inverted_index.delineated | 84 |
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| abstract_inverted_index.possibility | 198 |
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| abstract_inverted_index.<title>BACKGROUND</title> | 1 |
| abstract_inverted_index.<title>CONCLUSIONS</title> | 298 |
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