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. 2015 Apr;11(4):415-24.
doi: 10.1016/j.jalz.2014.03.005. Epub 2014 May 22.

Susceptibility of the conventional criteria for mild cognitive impairment to false-positive diagnostic errors

Affiliations

Susceptibility of the conventional criteria for mild cognitive impairment to false-positive diagnostic errors

Emily C Edmonds et al. Alzheimers Dement. 2015 Apr.

Abstract

Background: We assessed whether mild cognitive impairment (MCI) subtypes could be empirically derived within the Alzheimer's Disease Neuroimaging Initiative (ADNI) MCI cohort and examined associated biomarkers and clinical outcomes.

Methods: Cluster analysis was performed on neuropsychological data from 825 MCI ADNI participants.

Results: Four subtypes emerged: (1) dysnomic (n = 153), (2) dysexecutive (n = 102), (3) amnestic (n = 288), and (4) cluster-derived normal (n = 282) who performed within normal limits on cognitive testing. The cluster-derived normal group had significantly fewer APOE ε4 carriers and fewer who progressed to dementia compared with the other subtypes; they also evidenced cerebrospinal fluid Alzheimer's disease biomarker profiles that did not differ from the normative reference group.

Conclusions: Identification of empirically derived MCI subtypes demonstrates heterogeneity in MCI cognitive profiles that is not captured by conventional criteria. The large cluster-derived normal group suggests that conventional diagnostic criteria are susceptible to false-positive errors, with the result that prior MCI studies may be diluting important biomarker relationships.

Keywords: Alzheimer's disease; Cluster analysis; Dementia; MCI; Mild cognitive impairment; Misclassification; Misdiagnosis; Neuropsychology.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr. Bondi serves as Associate Editor for the Journal of the International Neuropsychological Society. Dr. Galasko serves as Editor for Alzheimer’s Research and Therapy, and as a paid consultant on Data Safety Monitoring Boards for Pfizer, Inc., Elan, Inc., and Balance Pharmaceuticals, Inc. Dr. Salmon serves as a consultant for CHDI Foundation, Novartis, and Bristol-Meyers Squibb. The other authors report no disclosures.

Figures

Fig. 1
Fig. 1
Neuropsychological performance for the cluster groups. Error bars denote standard deviations. The horizontal dotted line indicates the typical cutoff for impairment (−1.5 SDs).
Fig. 2
Fig. 2
CSF (A) hyperphosphorylated tau (p-tau181p) concentrations (B) beta-amyloid (Aβ1-42) concentrations and (C) ratio of p-tau181p/Aβ1-42 for the cluster groups and normal control group. Error bars denote standard deviations.
Fig. 3
Fig. 3
Hazard function showing risk of progression to dementia across time for the cluster groups.

References

    1. Petersen RC. Mild cognitive impairment as a diagnostic entity. J Intern Med. 2004;256(3):183–194. - PubMed
    1. Petersen RC, Morris JC. Mild cognitive impairment as a clinical entity and treatment target. Arch Neurol. 2005;62(7):1160–1163. - PubMed
    1. Winblad B, Palmer K, Kivipelto M, Jelic V, Fratiglioni L, Wahlund LO, et al. Mild cognitive impairment – beyond controversies, towards a consensus: Report of the International Working Group on Mild Cognitive Impairment. J Intern Med. 2004;256(3):240–246. - PubMed
    1. Clark LR, Delano-Wood L, Libon DJ, McDonald CR, Nation DA, Bangen KJ, et al. Are empirically derived subtypes of mild cognitive impairment consistent with conventional subtypes? J Int Neuropsychol Soc. 2013;19(6):1–11. - PMC - PubMed
    1. Delano-Wood L, Bondi MW, Sacco J, Abeles N, Jak AJ, Libon DJ, et al. Heterogeneity in mild cognitive impairment: Differences in neuropsychological profile and associated white matter lesion pathology. J Int Neuropsychol Soc. 2009;15(6):906–914. - PMC - PubMed

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