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The CERAD Neuropsychological Assessment Battery Total Score Detects and Predicts Alzheimer Disease Dementia with High Diagnostic Accuracy

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The CERAD Neuropsychological Assessment Battery Total Score Detects and Predicts Alzheimer Disease Dementia with High Diagnostic Accuracy. / Wolfsgruber, Steffen; Jessen, Frank; Wiese, Birgitt; Stein, Janine; Bickel, Horst; Mösch, Edelgard; Weyerer, Siegfried; Werle, Jochen; Pentzek, Michael; Fuchs, Angela; Köhler, Mirjam; Bachmann, Cadja; Riedel-Heller, Steffi G; Scherer, Martin; Maier, Wolfgang; Wagner, Michael; AgeCoDe Study Group.

in: AM J GERIAT PSYCHIAT, 04.06.2013.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Wolfsgruber, S, Jessen, F, Wiese, B, Stein, J, Bickel, H, Mösch, E, Weyerer, S, Werle, J, Pentzek, M, Fuchs, A, Köhler, M, Bachmann, C, Riedel-Heller, SG, Scherer, M, Maier, W, Wagner, M & AgeCoDe Study Group 2013, 'The CERAD Neuropsychological Assessment Battery Total Score Detects and Predicts Alzheimer Disease Dementia with High Diagnostic Accuracy', AM J GERIAT PSYCHIAT. https://doi.org/10.1016/j.jagp.2012.08.021

APA

Wolfsgruber, S., Jessen, F., Wiese, B., Stein, J., Bickel, H., Mösch, E., Weyerer, S., Werle, J., Pentzek, M., Fuchs, A., Köhler, M., Bachmann, C., Riedel-Heller, S. G., Scherer, M., Maier, W., Wagner, M., & AgeCoDe Study Group (2013). The CERAD Neuropsychological Assessment Battery Total Score Detects and Predicts Alzheimer Disease Dementia with High Diagnostic Accuracy. AM J GERIAT PSYCHIAT. https://doi.org/10.1016/j.jagp.2012.08.021

Vancouver

Wolfsgruber S, Jessen F, Wiese B, Stein J, Bickel H, Mösch E et al. The CERAD Neuropsychological Assessment Battery Total Score Detects and Predicts Alzheimer Disease Dementia with High Diagnostic Accuracy. AM J GERIAT PSYCHIAT. 2013 Jun 4. https://doi.org/10.1016/j.jagp.2012.08.021

Bibtex

@article{209a9bc6e3e4474f8b7761ad7c9ca971,
title = "The CERAD Neuropsychological Assessment Battery Total Score Detects and Predicts Alzheimer Disease Dementia with High Diagnostic Accuracy",
abstract = "OBJECTIVES: To establish the diagnostic accuracy of the Total Score of the Consortium to Establish a Registry for Alzheimer's Disease neuropsychological assessment battery (CERAD-NP) both for cross-sectional discrimination of Alzheimer disease (AD) dementia and short-term prediction of incident AD dementia. DESIGN: Longitudinal cohort study with two assessments at a 1.5-year interval. SETTING: Primary care sample randomly recruited via medical record registries. PARTICIPANTS: As part of the German Study on Ageing, Cognition, and Dementia (AgeCoDe), a sample of elderly individuals (N = 1,606; mean age: 84 years) was assessed. MEASUREMENTS: Subjects were assessed with the CERAD-NP and followed up for 18 months (97.6% follow-up rate). Logistic regression and receiver-operating-characteristic (ROC) curve analysis were used to compare the diagnostic accuracy of the CERAD-NP Total Score (CTS) with that of single CERAD-NP scores and the Mini-Mental-State-Examination (MMSE) score. RESULTS: ROC curve analysis resulted in excellent (area under the curve [AUC]: 0.97) cross-sectional discrimination between non-AD and AD dementia subjects. Prediction of incident AD dementia with the CTS was also very good (AUC: 0.89), and was significantly better than prediction based on the MMSE. CONCLUSIONS: The cross-sectional results confirm that the CTS is a highly accurate diagnostic tool for detecting AD dementia in elderly primary care patients. In addition, we provide evidence that the CTS is also accurate for the prediction of incident AD dementia. These findings further support the validity of the CTS as an index of overall cognitive functioning for detection and prediction of AD dementia.",
author = "Steffen Wolfsgruber and Frank Jessen and Birgitt Wiese and Janine Stein and Horst Bickel and Edelgard M{\"o}sch and Siegfried Weyerer and Jochen Werle and Michael Pentzek and Angela Fuchs and Mirjam K{\"o}hler and Cadja Bachmann and Riedel-Heller, {Steffi G} and Martin Scherer and Wolfgang Maier and Michael Wagner and {AgeCoDe Study Group}",
note = "Copyright {\textcopyright} 2013 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.",
year = "2013",
month = jun,
day = "4",
doi = "10.1016/j.jagp.2012.08.021",
language = "English",
journal = "AM J GERIAT PSYCHIAT",
issn = "1064-7481",
publisher = "Lippincott Williams and Wilkins",

}

RIS

TY - JOUR

T1 - The CERAD Neuropsychological Assessment Battery Total Score Detects and Predicts Alzheimer Disease Dementia with High Diagnostic Accuracy

AU - Wolfsgruber, Steffen

AU - Jessen, Frank

AU - Wiese, Birgitt

AU - Stein, Janine

AU - Bickel, Horst

AU - Mösch, Edelgard

AU - Weyerer, Siegfried

AU - Werle, Jochen

AU - Pentzek, Michael

AU - Fuchs, Angela

AU - Köhler, Mirjam

AU - Bachmann, Cadja

AU - Riedel-Heller, Steffi G

AU - Scherer, Martin

AU - Maier, Wolfgang

AU - Wagner, Michael

AU - AgeCoDe Study Group

N1 - Copyright © 2013 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

PY - 2013/6/4

Y1 - 2013/6/4

N2 - OBJECTIVES: To establish the diagnostic accuracy of the Total Score of the Consortium to Establish a Registry for Alzheimer's Disease neuropsychological assessment battery (CERAD-NP) both for cross-sectional discrimination of Alzheimer disease (AD) dementia and short-term prediction of incident AD dementia. DESIGN: Longitudinal cohort study with two assessments at a 1.5-year interval. SETTING: Primary care sample randomly recruited via medical record registries. PARTICIPANTS: As part of the German Study on Ageing, Cognition, and Dementia (AgeCoDe), a sample of elderly individuals (N = 1,606; mean age: 84 years) was assessed. MEASUREMENTS: Subjects were assessed with the CERAD-NP and followed up for 18 months (97.6% follow-up rate). Logistic regression and receiver-operating-characteristic (ROC) curve analysis were used to compare the diagnostic accuracy of the CERAD-NP Total Score (CTS) with that of single CERAD-NP scores and the Mini-Mental-State-Examination (MMSE) score. RESULTS: ROC curve analysis resulted in excellent (area under the curve [AUC]: 0.97) cross-sectional discrimination between non-AD and AD dementia subjects. Prediction of incident AD dementia with the CTS was also very good (AUC: 0.89), and was significantly better than prediction based on the MMSE. CONCLUSIONS: The cross-sectional results confirm that the CTS is a highly accurate diagnostic tool for detecting AD dementia in elderly primary care patients. In addition, we provide evidence that the CTS is also accurate for the prediction of incident AD dementia. These findings further support the validity of the CTS as an index of overall cognitive functioning for detection and prediction of AD dementia.

AB - OBJECTIVES: To establish the diagnostic accuracy of the Total Score of the Consortium to Establish a Registry for Alzheimer's Disease neuropsychological assessment battery (CERAD-NP) both for cross-sectional discrimination of Alzheimer disease (AD) dementia and short-term prediction of incident AD dementia. DESIGN: Longitudinal cohort study with two assessments at a 1.5-year interval. SETTING: Primary care sample randomly recruited via medical record registries. PARTICIPANTS: As part of the German Study on Ageing, Cognition, and Dementia (AgeCoDe), a sample of elderly individuals (N = 1,606; mean age: 84 years) was assessed. MEASUREMENTS: Subjects were assessed with the CERAD-NP and followed up for 18 months (97.6% follow-up rate). Logistic regression and receiver-operating-characteristic (ROC) curve analysis were used to compare the diagnostic accuracy of the CERAD-NP Total Score (CTS) with that of single CERAD-NP scores and the Mini-Mental-State-Examination (MMSE) score. RESULTS: ROC curve analysis resulted in excellent (area under the curve [AUC]: 0.97) cross-sectional discrimination between non-AD and AD dementia subjects. Prediction of incident AD dementia with the CTS was also very good (AUC: 0.89), and was significantly better than prediction based on the MMSE. CONCLUSIONS: The cross-sectional results confirm that the CTS is a highly accurate diagnostic tool for detecting AD dementia in elderly primary care patients. In addition, we provide evidence that the CTS is also accurate for the prediction of incident AD dementia. These findings further support the validity of the CTS as an index of overall cognitive functioning for detection and prediction of AD dementia.

U2 - 10.1016/j.jagp.2012.08.021

DO - 10.1016/j.jagp.2012.08.021

M3 - SCORING: Journal article

C2 - 23759289

JO - AM J GERIAT PSYCHIAT

JF - AM J GERIAT PSYCHIAT

SN - 1064-7481

ER -