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The Toronto Cognitive Assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment
BACKGROUND: A need exists for easily administered assessment tools to detect mild cognitive changes that are more comprehensive than screening tests but shorter than a neuropsychological battery and that can be administered by physicians, as well as any health care professional or trained assistant...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052695/ https://www.ncbi.nlm.nih.gov/pubmed/30021658 http://dx.doi.org/10.1186/s13195-018-0382-y |
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author | Freedman, Morris Leach, Larry Carmela Tartaglia, M. Stokes, Kathryn A. Goldberg, Yael Spring, Robyn Nourhaghighi, Nima Gee, Tom Strother, Stephen C. Alhaj, Mohammad O. Borrie, Michael Darvesh, Sultan Fernandez, Alita Fischer, Corinne E. Fogarty, Jennifer Greenberg, Barry D. Gyenes, Michelle Herrmann, Nathan Keren, Ron Kirstein, Josh Kumar, Sanjeev Lam, Benjamin Lena, Suvendrini McAndrews, Mary Pat Naglie, Gary Partridge, Robert Rajji, Tarek K. Reichmann, William Uri Wolf, M. Verhoeff, Nicolaas P. L. G. Waserman, Jordana L. Black, Sandra E. Tang-Wai, David F. |
author_facet | Freedman, Morris Leach, Larry Carmela Tartaglia, M. Stokes, Kathryn A. Goldberg, Yael Spring, Robyn Nourhaghighi, Nima Gee, Tom Strother, Stephen C. Alhaj, Mohammad O. Borrie, Michael Darvesh, Sultan Fernandez, Alita Fischer, Corinne E. Fogarty, Jennifer Greenberg, Barry D. Gyenes, Michelle Herrmann, Nathan Keren, Ron Kirstein, Josh Kumar, Sanjeev Lam, Benjamin Lena, Suvendrini McAndrews, Mary Pat Naglie, Gary Partridge, Robert Rajji, Tarek K. Reichmann, William Uri Wolf, M. Verhoeff, Nicolaas P. L. G. Waserman, Jordana L. Black, Sandra E. Tang-Wai, David F. |
author_sort | Freedman, Morris |
collection | PubMed |
description | BACKGROUND: A need exists for easily administered assessment tools to detect mild cognitive changes that are more comprehensive than screening tests but shorter than a neuropsychological battery and that can be administered by physicians, as well as any health care professional or trained assistant in any medical setting. The Toronto Cognitive Assessment (TorCA) was developed to achieve these goals. METHODS: We obtained normative data on the TorCA (n = 303), determined test reliability, developed an iPad version, and validated the TorCA against neuropsychological assessment for detecting amnestic mild cognitive impairment (aMCI) (n = 50/57, aMCI/normal cognition). For the normative study, healthy volunteers were recruited from the Rotman Research Institute registry. For the validation study, the sample was comprised of participants with aMCI or normal cognition based on neuropsychological assessment. Cognitively normal participants were recruited from both healthy volunteers in the normative study sample and the community. RESULTS: The TorCA provides a stable assessment of multiple cognitive domains. The total score correctly classified 79% of participants (sensitivity 80%; specificity 79%). In an exploratory logistic regression analysis, indices of Immediate Verbal Recall, Delayed Verbal and Visual Recall, Visuospatial Function, and Working Memory/Attention/Executive Control, a subset of the domains assessed by the TorCA, correctly classified 92% of participants (sensitivity 92%; specificity 91%). Paper and iPad version scores were equivalent. CONCLUSIONS: The TorCA can improve resource utilization by identifying patients with aMCI who may not require more resource-intensive neuropsychological assessment. Future studies will focus on cross-validating the TorCA for aMCI, and validation for disorders other than aMCI. |
format | Online Article Text |
id | pubmed-6052695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60526952018-07-23 The Toronto Cognitive Assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment Freedman, Morris Leach, Larry Carmela Tartaglia, M. Stokes, Kathryn A. Goldberg, Yael Spring, Robyn Nourhaghighi, Nima Gee, Tom Strother, Stephen C. Alhaj, Mohammad O. Borrie, Michael Darvesh, Sultan Fernandez, Alita Fischer, Corinne E. Fogarty, Jennifer Greenberg, Barry D. Gyenes, Michelle Herrmann, Nathan Keren, Ron Kirstein, Josh Kumar, Sanjeev Lam, Benjamin Lena, Suvendrini McAndrews, Mary Pat Naglie, Gary Partridge, Robert Rajji, Tarek K. Reichmann, William Uri Wolf, M. Verhoeff, Nicolaas P. L. G. Waserman, Jordana L. Black, Sandra E. Tang-Wai, David F. Alzheimers Res Ther Research BACKGROUND: A need exists for easily administered assessment tools to detect mild cognitive changes that are more comprehensive than screening tests but shorter than a neuropsychological battery and that can be administered by physicians, as well as any health care professional or trained assistant in any medical setting. The Toronto Cognitive Assessment (TorCA) was developed to achieve these goals. METHODS: We obtained normative data on the TorCA (n = 303), determined test reliability, developed an iPad version, and validated the TorCA against neuropsychological assessment for detecting amnestic mild cognitive impairment (aMCI) (n = 50/57, aMCI/normal cognition). For the normative study, healthy volunteers were recruited from the Rotman Research Institute registry. For the validation study, the sample was comprised of participants with aMCI or normal cognition based on neuropsychological assessment. Cognitively normal participants were recruited from both healthy volunteers in the normative study sample and the community. RESULTS: The TorCA provides a stable assessment of multiple cognitive domains. The total score correctly classified 79% of participants (sensitivity 80%; specificity 79%). In an exploratory logistic regression analysis, indices of Immediate Verbal Recall, Delayed Verbal and Visual Recall, Visuospatial Function, and Working Memory/Attention/Executive Control, a subset of the domains assessed by the TorCA, correctly classified 92% of participants (sensitivity 92%; specificity 91%). Paper and iPad version scores were equivalent. CONCLUSIONS: The TorCA can improve resource utilization by identifying patients with aMCI who may not require more resource-intensive neuropsychological assessment. Future studies will focus on cross-validating the TorCA for aMCI, and validation for disorders other than aMCI. BioMed Central 2018-07-18 /pmc/articles/PMC6052695/ /pubmed/30021658 http://dx.doi.org/10.1186/s13195-018-0382-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Freedman, Morris Leach, Larry Carmela Tartaglia, M. Stokes, Kathryn A. Goldberg, Yael Spring, Robyn Nourhaghighi, Nima Gee, Tom Strother, Stephen C. Alhaj, Mohammad O. Borrie, Michael Darvesh, Sultan Fernandez, Alita Fischer, Corinne E. Fogarty, Jennifer Greenberg, Barry D. Gyenes, Michelle Herrmann, Nathan Keren, Ron Kirstein, Josh Kumar, Sanjeev Lam, Benjamin Lena, Suvendrini McAndrews, Mary Pat Naglie, Gary Partridge, Robert Rajji, Tarek K. Reichmann, William Uri Wolf, M. Verhoeff, Nicolaas P. L. G. Waserman, Jordana L. Black, Sandra E. Tang-Wai, David F. The Toronto Cognitive Assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment |
title | The Toronto Cognitive Assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment |
title_full | The Toronto Cognitive Assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment |
title_fullStr | The Toronto Cognitive Assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment |
title_full_unstemmed | The Toronto Cognitive Assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment |
title_short | The Toronto Cognitive Assessment (TorCA): normative data and validation to detect amnestic mild cognitive impairment |
title_sort | toronto cognitive assessment (torca): normative data and validation to detect amnestic mild cognitive impairment |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052695/ https://www.ncbi.nlm.nih.gov/pubmed/30021658 http://dx.doi.org/10.1186/s13195-018-0382-y |
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