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Age-Correction of Test Scores Reduces the Validity of Mild Cognitive Impairment in Predicting Progression to Dementia

OBJECTIVES: A phase of mild cognitive impairment (MCI) precedes most forms of neurodegenerative dementia. Many definitions of MCI recommend the use of test norms to diagnose cognitive impairment. It is, however, unclear whether the use of norms actually improves the detection of individuals at risk...

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Autores principales: Hessler, Johannes, Tucha, Oliver, Förstl, Hans, Mösch, Edelgard, Bickel, Horst
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149540/
https://www.ncbi.nlm.nih.gov/pubmed/25171483
http://dx.doi.org/10.1371/journal.pone.0106284
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author Hessler, Johannes
Tucha, Oliver
Förstl, Hans
Mösch, Edelgard
Bickel, Horst
author_facet Hessler, Johannes
Tucha, Oliver
Förstl, Hans
Mösch, Edelgard
Bickel, Horst
author_sort Hessler, Johannes
collection PubMed
description OBJECTIVES: A phase of mild cognitive impairment (MCI) precedes most forms of neurodegenerative dementia. Many definitions of MCI recommend the use of test norms to diagnose cognitive impairment. It is, however, unclear whether the use of norms actually improves the detection of individuals at risk of dementia. Therefore, the effects of age- and education-norms on the validity of test scores in predicting progression to dementia were investigated. METHODS: Baseline cognitive test scores (Syndrome Short Test) of dementia-free participants aged ≥65 were used to predict progression to dementia within three years. Participants were comprehensively examined one, two, and three years after baseline. Test scores were calculated with correction for (1) age and education, (2) education only, (3) age only and (4) without correction. Predictive validity was estimated with Cox proportional hazard regressions. Areas under the curve (AUCs) were calculated for the one-, two-, and three-year intervals. RESULTS: 82 (15.3%) of initially 537 participants, developed dementia. Model coefficients, hazard ratios, and AUCs of all scores were significant (p<0.001). Predictive validity was the lowest with age-corrected scores (−2 log likelihood  = 840.90, model fit χ(2) (1)  = 144.27, HR  = 1.33, AUCs between 0.73 and 0.87) and the highest with education-corrected scores (−2 log likelihood  = 815.80, model fit χ(2) (1)  = 171.16, HR  = 1.34, AUCs between 0.85 and 0.88). CONCLUSION: The predictive validity of test scores is markedly reduced by age-correction. Therefore, definitions of MCI should not recommend the use of age-norms in order to improve the detection of individuals at risk of dementia.
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spelling pubmed-41495402014-09-03 Age-Correction of Test Scores Reduces the Validity of Mild Cognitive Impairment in Predicting Progression to Dementia Hessler, Johannes Tucha, Oliver Förstl, Hans Mösch, Edelgard Bickel, Horst PLoS One Research Article OBJECTIVES: A phase of mild cognitive impairment (MCI) precedes most forms of neurodegenerative dementia. Many definitions of MCI recommend the use of test norms to diagnose cognitive impairment. It is, however, unclear whether the use of norms actually improves the detection of individuals at risk of dementia. Therefore, the effects of age- and education-norms on the validity of test scores in predicting progression to dementia were investigated. METHODS: Baseline cognitive test scores (Syndrome Short Test) of dementia-free participants aged ≥65 were used to predict progression to dementia within three years. Participants were comprehensively examined one, two, and three years after baseline. Test scores were calculated with correction for (1) age and education, (2) education only, (3) age only and (4) without correction. Predictive validity was estimated with Cox proportional hazard regressions. Areas under the curve (AUCs) were calculated for the one-, two-, and three-year intervals. RESULTS: 82 (15.3%) of initially 537 participants, developed dementia. Model coefficients, hazard ratios, and AUCs of all scores were significant (p<0.001). Predictive validity was the lowest with age-corrected scores (−2 log likelihood  = 840.90, model fit χ(2) (1)  = 144.27, HR  = 1.33, AUCs between 0.73 and 0.87) and the highest with education-corrected scores (−2 log likelihood  = 815.80, model fit χ(2) (1)  = 171.16, HR  = 1.34, AUCs between 0.85 and 0.88). CONCLUSION: The predictive validity of test scores is markedly reduced by age-correction. Therefore, definitions of MCI should not recommend the use of age-norms in order to improve the detection of individuals at risk of dementia. Public Library of Science 2014-08-29 /pmc/articles/PMC4149540/ /pubmed/25171483 http://dx.doi.org/10.1371/journal.pone.0106284 Text en © 2014 Hessler et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hessler, Johannes
Tucha, Oliver
Förstl, Hans
Mösch, Edelgard
Bickel, Horst
Age-Correction of Test Scores Reduces the Validity of Mild Cognitive Impairment in Predicting Progression to Dementia
title Age-Correction of Test Scores Reduces the Validity of Mild Cognitive Impairment in Predicting Progression to Dementia
title_full Age-Correction of Test Scores Reduces the Validity of Mild Cognitive Impairment in Predicting Progression to Dementia
title_fullStr Age-Correction of Test Scores Reduces the Validity of Mild Cognitive Impairment in Predicting Progression to Dementia
title_full_unstemmed Age-Correction of Test Scores Reduces the Validity of Mild Cognitive Impairment in Predicting Progression to Dementia
title_short Age-Correction of Test Scores Reduces the Validity of Mild Cognitive Impairment in Predicting Progression to Dementia
title_sort age-correction of test scores reduces the validity of mild cognitive impairment in predicting progression to dementia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149540/
https://www.ncbi.nlm.nih.gov/pubmed/25171483
http://dx.doi.org/10.1371/journal.pone.0106284
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