Literature DB >> 26708116

Examining the reliability of ADAS-Cog change scores.

Joseph H Grochowalski1, Ying Liu1, Karen L Siedlecki1.   

Abstract

The purpose of this study was to estimate and examine ways to improve the reliability of change scores on the Alzheimer's Disease Assessment Scale, Cognitive Subtest (ADAS-Cog). The sample, provided by the Alzheimer's Disease Neuroimaging Initiative, included individuals with Alzheimer's disease (AD) (n = 153) and individuals with mild cognitive impairment (MCI) (n = 352). All participants were administered the ADAS-Cog at baseline and 1 year, and change scores were calculated as the difference in scores over the 1-year period. Three types of change score reliabilities were estimated using multivariate generalizability. Two methods to increase change score reliability were evaluated: reweighting the subtests of the scale and adding more subtests. Reliability of ADAS-Cog change scores over 1 year was low for both the AD sample (ranging from .53 to .64) and the MCI sample (.39 to .61). Reweighting the change scores from the AD sample improved reliability (.68 to .76), but lengthening provided no useful improvement for either sample. The MCI change scores had low reliability, even with reweighting and adding additional subtests. The ADAS-Cog scores had low reliability for measuring change. Researchers using the ADAS-Cog should estimate and report reliability for their use of the change scores. The ADAS-Cog change scores are not recommended for assessment of meaningful clinical change.

Entities:  

Keywords:  ADAS-Cog; Alzheimer’s disease; change scores; mild cognitive impairment; reliability

Mesh:

Year:  2015        PMID: 26708116     DOI: 10.1080/13825585.2015.1127320

Source DB:  PubMed          Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn        ISSN: 1382-5585


  5 in total

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Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; John C Morris; Ronald C Petersen; Andrew J Saykin; Leslie M Shaw; Arthur W Toga; John Q Trojanowski
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Review 2.  The Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog): Modifications and Responsiveness in Pre-Dementia Populations. A Narrative Review.

Authors:  Jacqueline K Kueper; Mark Speechley; Manuel Montero-Odasso
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

3.  A novel cognitive-functional composite measure to detect changes in early Alzheimer's disease: Test-retest reliability and feasibility.

Authors:  Roos J Jutten; John Harrison; Philippe R Lee Meeuw Kjoe; Esther M Opmeer; Niki S M Schoonenboom; Frank Jan de Jong; Craig W Ritchie; Philip Scheltens; Sietske A M Sikkes
Journal:  Alzheimers Dement (Amst)       Date:  2017-12-27

4.  Machine learning methods to predict amyloid positivity using domain scores from cognitive tests.

Authors:  Guogen Shan; Charles Bernick; Jessica Z K Caldwell; Aaron Ritter
Journal:  Sci Rep       Date:  2021-03-01       Impact factor: 4.379

5.  Quantification of cognitive impairment to characterize heterogeneity of patients at risk of developing Alzheimer's disease dementia.

Authors:  Diana L Giraldo; Jan Sijbers; Eduardo Romero
Journal:  Alzheimers Dement (Amst)       Date:  2021-09-14
  5 in total

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