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Laptop-Administered NIH Toolbox and Cogstate Brief Battery in Community-Dwelling Black Adults: Unexpected Pattern of Cognitive Performance between MCI and Healthy Controls.
Kairys, Anson; Daugherty, Ana; Kavcic, Voyko; Shair, Sarah; Persad, Carol; Heidebrink, Judith; Bhaumik, Arijit; Giordani, Bruno.
Afiliação
  • Kairys A; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Daugherty A; Institute of Gerontology, Wayne State University, Detroit, MI, USA.
  • Kavcic V; Department of Psychology, Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA.
  • Shair S; Institute of Gerontology, Wayne State University, Detroit, MI, USA.
  • Persad C; Department of Neurology, University of Michigan, Ann Arbor, MI, USA.
  • Heidebrink J; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
  • Bhaumik A; Department of Neurology, University of Michigan, Ann Arbor, MI, USA.
  • Giordani B; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA.
J Int Neuropsychol Soc ; 28(3): 239-248, 2022 03.
Article em En | MEDLINE | ID: mdl-33752763
ABSTRACT

OBJECTIVE:

Black adults are approximately twice as likely to develop Alzheimer's disease (AD) than non-Hispanic Whites and access diagnostic services later in their illness. This dictates the need to develop assessments that are cost-effective, easily administered, and sensitive to preclinical stages of AD, such as mild cognitive impairment (MCI). Two computerized cognitive batteries, NIH Toolbox-Cognition and Cogstate Brief Battery, have been developed. However, utility of these measures for clinical characterization remains only partially determined. We sought to determine the convergent validity of these computerized measures in relation to consensus diagnosis in a sample of MCI and healthy controls (HC).

METHOD:

Participants were community-dwelling Black adults who completed the neuropsychological battery and other Uniform Data Set (UDS) forms from the AD centers program for consensus diagnosis (HC = 61; MCI = 43) and the NIH Toolbox-Cognition and Cogstate batteries. Discriminant function analysis was used to determine which cognitive tests best differentiated the groups.

RESULTS:

NIH Toolbox crystallized measures, Oral Reading and Picture Vocabulary, were the most sensitive in identifying MCI apart from HC. Secondarily, deficits in memory and executive subtests were also predictive. UDS neuropsychological test analyses showed the expected pattern of memory and executive functioning tests differentiating MCI from HC.

CONCLUSIONS:

Contrary to expectation, NIH Toolbox crystallized abilities appeared preferentially sensitive to diagnostic group differences. This study highlights the importance of further research into the validity and clinical utility of computerized neuropsychological tests within ethnic minority populations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Humans Idioma: En Revista: J Int Neuropsychol Soc Assunto da revista: NEUROLOGIA / PSICOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doença de Alzheimer / Disfunção Cognitiva Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adult / Humans Idioma: En Revista: J Int Neuropsychol Soc Assunto da revista: NEUROLOGIA / PSICOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
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