Literature DB >> 17451628

Mild cognitive impairment as predictor for Alzheimer's disease in clinical practice: effect of age and diagnostic criteria.

P J Visser1, F R J Verhey.   

Abstract

BACKGROUND: We investigated whether the predictive accuracy of mild cognitive impairment (MCI) for Alzheimer-type dementia (AD) in a clinical setting is dependent on age and the definition of MCI used.
METHOD: Non-demented subjects older than 40 (n=320) who attended a memory clinic of a university hospital were reassessed 5 years later for the presence of AD. MCI was diagnosed according to the criteria of amnestic MCI, mild functional impairment (MFI), ageing-associated cognitive decline (AACD), and age-associated memory impairment (AAMI). The main outcome measure was the area under the curve (AUC) of a receiver operating characteristic (ROC) curve. Analyses were conducted on the entire sample and on subgroups of subjects aged 40-54, 55-69 and 70-85 years.
RESULTS: A diagnosis of AD at follow-up was made in 58 subjects. Four of them were in the 40-54 age group, 29 in the 55-69 age group and 25 in the 70-85 age group. The diagnostic accuracy in the entire sample was low to moderately high with AUCs ranging from 0.56 (AACD) to 0.75 (amnestic MCI). A good predictive accuracy with an AUC >0.80 was only observed in subjects aged 70-85 using the criteria of amnestic MCI (AUC=0.84).
CONCLUSIONS: The predictive accuracy of MCI for AD is dependent on age and the definition of MCI used. The predictive accuracy is good only for amnestic MCI in subjects 70-85 years. As subjects with prodromal AD are often younger than 70, the usefulness of MCI as predictor of AD in clinical practice is limited.

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Year:  2007        PMID: 17451628     DOI: 10.1017/S0033291707000554

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  11 in total

Review 1.  Use of biomarkers to select the target population for clinical trials in subjects with mild cognitive impairment.

Authors:  P J Visser
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2.  Outcomes of mild cognitive impairment by definition: a population study.

Authors:  Mary Ganguli; Beth E Snitz; Judith A Saxton; Chung-Chou H Chang; Ching-Wen Lee; Joni Vander Bilt; Tiffany F Hughes; David A Loewenstein; Frederick W Unverzagt; Ronald C Petersen
Journal:  Arch Neurol       Date:  2011-06

3.  [Mild neurocognitive disorder - a disease? Against].

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Journal:  Nervenarzt       Date:  2014-05       Impact factor: 1.214

Review 4.  Heterogeneity of Neuropsychological Impairment in HIV Infection: Contributions from Mild Cognitive Impairment.

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5.  Alzheimer's disease: diagnostics, prognostics and the road to prevention.

Authors:  Iris Grossman; Michael W Lutz; Donna G Crenshaw; Ann M Saunders; Daniel K Burns; Allen D Roses
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6.  Comparison of four verbal memory tests for the diagnosis and predictive value of mild cognitive impairment.

Authors:  Dina Silva; Manuela Guerreiro; João Maroco; Isabel Santana; Ana Rodrigues; José Bravo Marques; Alexandre de Mendonça
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7.  Rate of conversion from prodromal Alzheimer's disease to Alzheimer's dementia: a systematic review of the literature.

Authors:  Alex Ward; Sarah Tardiff; Catherine Dye; H Michael Arrighi
Journal:  Dement Geriatr Cogn Dis Extra       Date:  2013-09-28

8.  Sample Size Estimation for Alzheimer's Disease Trials from Japanese ADNI Serial Magnetic Resonance Imaging.

Authors:  Motonobu Fujishima; Atsushi Kawaguchi; Norihide Maikusa; Ryozo Kuwano; Takeshi Iwatsubo; Hiroshi Matsuda
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

9.  Diagnostic uncertainty in a severely demented male patient: a case report.

Authors:  Pantelis Maiovis; Evgenia Gavopoulou; Marina Eleftheriou; Ioanna Tsokanari; Magda Tsolaki
Journal:  Cases J       Date:  2008-10-19

10.  Gait analysis in demented subjects: Interests and perspectives.

Authors:  Olivier Beauchet; Gilles Allali; Gilles Berrut; Caroline Hommet; Véronique Dubost; Frédéric Assal
Journal:  Neuropsychiatr Dis Treat       Date:  2008-02       Impact factor: 2.570

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