Results From the NACC Uniform Data Set Neuropsychological Battery Crosswalk Study

Sarah E Monsell, Hiroko H Dodge, Xiao-Hua Zhou, Yunqi Bu, Lilah M Besser, Charles Mock, Stephen E Hawes, Walter A Kukull, Sandra Weintraub, Neuropsychology Work Group Advisory to the Clinical Task Force, Sarah E Monsell, Hiroko H Dodge, Xiao-Hua Zhou, Yunqi Bu, Lilah M Besser, Charles Mock, Stephen E Hawes, Walter A Kukull, Sandra Weintraub, Neuropsychology Work Group Advisory to the Clinical Task Force

Abstract

Introduction: Four new nonproprietary tests were recommended for use in the National Alzheimer's Coordinating Center's Uniform Data Set Neuropsychological Battery. These tests are similar to previous tests but also allow for continuity of longitudinal data collection and wide dissemination among research collaborators.

Methods: A Crosswalk Study was conducted in early 2014 to assess the correlation between each set of new and previous tests. Tests with good correlation were equated using equipercentile equating. The resulting conversion tables allow scores on the new tests to be converted to equivalent scores on the previous tests.

Results: All pairs of tests had good correlation (ρ=0.68 to 0.78). Learning effects were detected for Logical Memory only. Confidence intervals were narrow at each point estimate, and prediction accuracy was high.

Discussion: The recommended new tests are well correlated with the previous tests. The equipercentile equating method produced conversion tables that provide a useful reference for clinicians and researchers.

Figures

Figure 1
Figure 1
MoCA scores and corresponding MMSE computed from the MoCA score, based on percentile rank MMSE= Mini Mental State Examination MoCA= Montreal Cognitive Assessment
Figure 2
Figure 2
Model prediction accuracy for the MoCA to MMSE crosswalk MMSE= Mini Mental State Examination MoCA= Montreal Cognitive Assessment

Source: PubMed

3
Suscribir