Robust and conventional neuropsychological norms: diagnosis and prediction of age-related cognitive decline - PubMed (original) (raw)

doi: 10.1037/0894-4105.22.4.469.

Elizabeth Pirraglia, William Barr, James Babb, Schantel Williams, Kimberley Rogers, Lidia Glodzik, Miroslaw Brys, Lisa Mosconi, Barry Reisberg, Steven Ferris, Mony J de Leon

Affiliations

Susan De Santi et al. Neuropsychology. 2008 Jul.

Abstract

The aim of the study was to compare the performance of Robust and Conventional neuropsychological norms in predicting clinical decline among healthy adults and in mild cognitive impairment (MCI). The authors developed Robust baseline cross sectional and longitudinal change norms from 113 healthy participants retaining a normal diagnosis for at least 4 years. Baseline Conventional norms were separately created for 256 similar healthy participants without follow-up. Conventional and Robust norms were tested in an independent cohort of longitudinally studied healthy (n=223), MCI (n=136), and Alzheimer's disease (AD, n=162) participants; 84 healthy participants declined to MCI or AD (NL-->DEC), and 44 MCI declined to AD (MCI-->AD). Compared to Conventional norms, baseline Robust norms correctly identified a higher proportion of NL-->DEC with impairment in delayed memory and attention-language domains. Both norms predicted decline from MCI-->AD. Change norms for delayed memory and attention-language significantly incremented baseline classification accuracies. These findings indicate that Robust norms improve identification of healthy individuals who will decline and may be useful for selecting at-risk participants for research studies and early interventions.

PsycINFO Database Record (c) 2008 APA, all rights reserved.

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Figures

Figure 1

Figure 1

Study groups with diagnoses at three time points.

Figure 2

Figure 2

Impairment in healthy test and NL→DEC for all domains using Conventional and Robust norms.

Figure 3

Figure 3

Impairment in the delayed memory domain using Conventional and Robust norms.

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