Cognitive Assessment Test: Validation of a Short Cognitive Test for the Detection of Mild Cognitive Disorder
Introduction. Cognitive disorders are a clinical and research challenge; in particular, the mild cognitive disorder (MiCD) requires diagnostic suspicion and tools with adequate performance for its detection. The objective of this study was the validation of a short cognitive test (CATest) for the de...
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Published in | International journal of alzheimer's disease Vol. 2018; no. 2018; pp. 1 - 7 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Cairo, Egypt
Hindawi Publishing Corporation
2018
Hindawi John Wiley & Sons, Inc |
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Abstract | Introduction. Cognitive disorders are a clinical and research challenge; in particular, the mild cognitive disorder (MiCD) requires diagnostic suspicion and tools with adequate performance for its detection. The objective of this study was the validation of a short cognitive test (CATest) for the detection of MiCD in population of 50 years or more. Methods. A diagnostic accuracy study was assembled and performed in a prospective cohort. A consecutive sample of 200 Colombian subjects who represented the whole spectrum of the condition of interest allowed us to reach the objective. Validity was determined by concurrent criteria. The cut points were determined by the ROC curves considering the best overall performance and accuracy of the test. Results. CATest was validated to detection of MiCD at a cut-off point of 18. As a result, scores lower than 18 classified the participants as MiCD. At this cut-off point, CATest showed sensitivity of 84.3% (CI 76 to 90.16), specificity of 71.4% (CI 95% 61.8 to 79.43), positive predictive value of 75% ( 95% CI 66.79 to 82.42), and area under curve AUC 0.8518 (standard error SE 0.0265). Discussion. CATest has an adequate performance as a short cognitive test for the detection of MiCD. Its performance is superior to MiniMental and similar to Montreal Cognitive test (MoCA) according to the data reported in the literature. The advantages over other tests are the evaluation of all cognitive domains, time of application, and easy interpretation of results. CATest is a free use alternative for MiCD detection. |
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AbstractList | Cognitive disorders are a clinical and research challenge; in particular, the mild cognitive disorder (MiCD) requires diagnostic suspicion and tools with adequate performance for its detection. The objective of this study was the validation of a short cognitive test (CATest) for the detection of MiCD in population of 50 years or more.
A diagnostic accuracy study was assembled and performed in a prospective cohort. A consecutive sample of 200 Colombian subjects who represented the whole spectrum of the condition of interest allowed us to reach the objective. Validity was determined by concurrent criteria. The cut points were determined by the ROC curves considering the best overall performance and accuracy of the test.
CATest was validated to detection of MiCD at a cut-off point of 18. As a result, scores lower than 18 classified the participants as MiCD. At this cut-off point, CATest showed sensitivity of 84.3% (CI 76 to 90.16), specificity of 71.4% (
95% 61.8 to 79.43), positive predictive value of 75% ( 95% CI 66.79 to 82.42), and area under curve AUC 0.8518 (standard error SE 0.0265).
CATest has an adequate performance as a short cognitive test for the detection of MiCD. Its performance is superior to MiniMental and similar to Montreal Cognitive test (MoCA) according to the data reported in the literature. The advantages over other tests are the evaluation of all cognitive domains, time of application, and easy interpretation of results. CATest is a free use alternative for MiCD detection. Introduction. Cognitive disorders are a clinical and research challenge; in particular, the mild cognitive disorder (MiCD) requires diagnostic suspicion and tools with adequate performance for its detection. The objective of this study was the validation of a short cognitive test (CATest) for the detection of MiCD in population of 50 years or more. Methods. A diagnostic accuracy study was assembled and performed in a prospective cohort. A consecutive sample of 200 Colombian subjects who represented the whole spectrum of the condition of interest allowed us to reach the objective. Validity was determined by concurrent criteria. The cut points were determined by the ROC curves considering the best overall performance and accuracy of the test. Results. CATest was validated to detection of MiCD at a cut-off point of 18. As a result, scores lower than 18 classified the participants as MiCD. At this cut-off point, CATest showed sensitivity of 84.3% (CI 76 to 90.16), specificity of 71.4% (CI 95% 61.8 to 79.43), positive predictive value of 75% ( 95% CI 66.79 to 82.42), and area under curve AUC 0.8518 (standard error SE 0.0265). Discussion. CATest has an adequate performance as a short cognitive test for the detection of MiCD. Its performance is superior to MiniMental and similar to Montreal Cognitive test (MoCA) according to the data reported in the literature. The advantages over other tests are the evaluation of all cognitive domains, time of application, and easy interpretation of results. CATest is a free use alternative for MiCD detection. Introduction. Cognitive disorders are a clinical and research challenge; in particular, the mild cognitive disorder (MiCD) requires diagnostic suspicion and tools with adequate performance for its detection. The objective of this study was the validation of a short cognitive test (CATest) for the detection of MiCD in population of 50 years or more. Methods. A diagnostic accuracy study was assembled and performed in a prospective cohort. A consecutive sample of 200 Colombian subjects who represented the whole spectrum of the condition of interest allowed us to reach the objective. Validity was determined by concurrent criteria. The cut points were determined by the ROC curves considering the best overall performance and accuracy of the test. Results. CATest was validated to detection of MiCD at a cut-off point of 18. As a result, scores lower than 18 classified the participants as MiCD. At this cut-off point, CATest showed sensitivity of 84.3% (CI 76 to 90.16), specificity of 71.4% ( CI 95% 61.8 to 79.43), positive predictive value of 75% ( 95% CI 66.79 to 82.42), and area under curve AUC 0.8518 (standard error SE 0.0265). Discussion. CATest has an adequate performance as a short cognitive test for the detection of MiCD. Its performance is superior to MiniMental and similar to Montreal Cognitive test (MoCA) according to the data reported in the literature. The advantages over other tests are the evaluation of all cognitive domains, time of application, and easy interpretation of results. CATest is a free use alternative for MiCD detection. Cognitive disorders are a clinical and research challenge; in particular, the mild cognitive disorder (MiCD) requires diagnostic suspicion and tools with adequate performance for its detection. The objective of this study was the validation of a short cognitive test (CATest) for the detection of MiCD in population of 50 years or more.INTRODUCTIONCognitive disorders are a clinical and research challenge; in particular, the mild cognitive disorder (MiCD) requires diagnostic suspicion and tools with adequate performance for its detection. The objective of this study was the validation of a short cognitive test (CATest) for the detection of MiCD in population of 50 years or more.A diagnostic accuracy study was assembled and performed in a prospective cohort. A consecutive sample of 200 Colombian subjects who represented the whole spectrum of the condition of interest allowed us to reach the objective. Validity was determined by concurrent criteria. The cut points were determined by the ROC curves considering the best overall performance and accuracy of the test.METHODSA diagnostic accuracy study was assembled and performed in a prospective cohort. A consecutive sample of 200 Colombian subjects who represented the whole spectrum of the condition of interest allowed us to reach the objective. Validity was determined by concurrent criteria. The cut points were determined by the ROC curves considering the best overall performance and accuracy of the test.CATest was validated to detection of MiCD at a cut-off point of 18. As a result, scores lower than 18 classified the participants as MiCD. At this cut-off point, CATest showed sensitivity of 84.3% (CI 76 to 90.16), specificity of 71.4% (CI 95% 61.8 to 79.43), positive predictive value of 75% ( 95% CI 66.79 to 82.42), and area under curve AUC 0.8518 (standard error SE 0.0265).RESULTSCATest was validated to detection of MiCD at a cut-off point of 18. As a result, scores lower than 18 classified the participants as MiCD. At this cut-off point, CATest showed sensitivity of 84.3% (CI 76 to 90.16), specificity of 71.4% (CI 95% 61.8 to 79.43), positive predictive value of 75% ( 95% CI 66.79 to 82.42), and area under curve AUC 0.8518 (standard error SE 0.0265).CATest has an adequate performance as a short cognitive test for the detection of MiCD. Its performance is superior to MiniMental and similar to Montreal Cognitive test (MoCA) according to the data reported in the literature. The advantages over other tests are the evaluation of all cognitive domains, time of application, and easy interpretation of results. CATest is a free use alternative for MiCD detection.DISCUSSIONCATest has an adequate performance as a short cognitive test for the detection of MiCD. Its performance is superior to MiniMental and similar to Montreal Cognitive test (MoCA) according to the data reported in the literature. The advantages over other tests are the evaluation of all cognitive domains, time of application, and easy interpretation of results. CATest is a free use alternative for MiCD detection. |
Audience | Academic |
Author | Pardo, Rodrigo Cruz, Francy Mancera, Oscar Alvarez, Laura Ruiz, Miguel Arboleda, Humberto Bonilla-Vargas, Kely Estrada-Orozco, Kelly |
AuthorAffiliation | 3 Institute of Genetics, National University of Colombia, Colombia 1 Clinical Research Institute, National University of Colombia, Colombia 2 Neurosciences Group, National University of Colombia, Colombia |
AuthorAffiliation_xml | – name: 1 Clinical Research Institute, National University of Colombia, Colombia – name: 3 Institute of Genetics, National University of Colombia, Colombia – name: 2 Neurosciences Group, National University of Colombia, Colombia |
Author_xml | – sequence: 1 fullname: Arboleda, Humberto – sequence: 2 fullname: Alvarez, Laura – sequence: 3 fullname: Ruiz, Miguel – sequence: 4 fullname: Mancera, Oscar – sequence: 5 fullname: Cruz, Francy – sequence: 6 fullname: Bonilla-Vargas, Kely – sequence: 7 fullname: Estrada-Orozco, Kelly – sequence: 8 fullname: Pardo, Rodrigo |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30057805$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1002/14651858.CD010783.pub2 10.1016/j.jamda.2017.05.016 10.1097/JCN.0000000000000285 10.1016/j.jbi.2014.02.013 10.1016/S0140-6736(14)60569-9 10.1370/afm.1596 10.1176/appi.ajp.2014.14070878 10.1001/jamainternmed.2015.2152 10.1002/14651858.CD010775.pub2 10.2147/CIA.S63504 10.33588/rn.4612.2007569 10.1097/JGP.0b013e318162f197 10.1590/1516-4446-2012-3503 10.1016/S1474-4422(11)70072-2 10.1212/WNL.0b013e3181f11d85 10.1001/archneurol.2009.266 10.1016/S0140-6736(06)68542-5 10.7326/0003-4819-148-6-200803180-00005 10.1016/j.pneurobio.2013.01.003 10.1159/000108099 10.1002/14651858.CD011145.pub2 10.1016/j.nrleng.2013.07.005 10.1159/000115751 10.1017/S1041610214000416 10.1002/14651858.CD010772.pub2 10.1016/S0140-6736(14)61347-7 10.12740/PP/45368 10.1002/gps.4444 10.1016/j.cger.2013.07.009 10.1002/ana.21326 10.1002/14651858.CD010079.pub2 10.11613/BM.2018.010101 |
ContentType | Journal Article |
Copyright | Copyright © 2018 Kelly Estrada-Orozco et al. COPYRIGHT 2018 John Wiley & Sons, Inc. Copyright © 2018 Kelly Estrada-Orozco et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 Copyright © 2018 Kelly Estrada-Orozco et al. 2018 |
Copyright_xml | – notice: Copyright © 2018 Kelly Estrada-Orozco et al. – notice: COPYRIGHT 2018 John Wiley & Sons, Inc. – notice: Copyright © 2018 Kelly Estrada-Orozco et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 – notice: Copyright © 2018 Kelly Estrada-Orozco et al. 2018 |
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Snippet | Introduction. Cognitive disorders are a clinical and research challenge; in particular, the mild cognitive disorder (MiCD) requires diagnostic suspicion and... Introduction. Cognitive disorders are a clinical and research challenge; in particular, the mild cognitive disorder (MiCD) requires diagnostic suspicion and... Cognitive disorders are a clinical and research challenge; in particular, the mild cognitive disorder (MiCD) requires diagnostic suspicion and tools with... |
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SubjectTerms | Accuracy Aging Alcohol Alzheimer's disease Cognition disorders Cognitive ability Data processing Dementia Diagnostic software Diagnostic systems Diagnostic tests Geriatrics Informatics Medical research Medicine, Experimental Standard error Studies Systematic review Thyroid diseases Vitamin deficiency |
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Title | Cognitive Assessment Test: Validation of a Short Cognitive Test for the Detection of Mild Cognitive Disorder |
URI | https://search.emarefa.net/detail/BIM-1166582 https://dx.doi.org/10.1155/2018/3280621 https://www.ncbi.nlm.nih.gov/pubmed/30057805 https://www.proquest.com/docview/2070112138 https://www.proquest.com/docview/2079948113 https://pubmed.ncbi.nlm.nih.gov/PMC6051079 |
Volume | 2018 |
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