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Pre-clinical cognitive phenotypes for Alzheimer disease: a latent profile approach.

Publication ,  Journal Article
Hayden, KM; Kuchibhatla, M; Romero, HR; Plassman, BL; Burke, JR; Browndyke, JN; Welsh-Bohmer, KA
Published in: Am J Geriatr Psychiatry
November 2014

BACKGROUND: Cognitive profiles for pre-clinical Alzheimer disease (AD) can be used to identify groups of individuals at risk for disease and better characterize pre-clinical disease. Profiles or patterns of performance as pre-clinical phenotypes may be more useful than individual test scores or measures of global decline. OBJECTIVE: To evaluate patterns of cognitive performance in cognitively normal individuals to derive latent profiles associated with later onset of disease using a combination of factor analysis and latent profile analysis. METHODS: The National Alzheimer Coordinating Centers collect data, including a battery of neuropsychological tests, from participants at 29 National Institute on Aging-funded Alzheimer Disease Centers across the United States. Prior factor analyses of this battery demonstrated a four-factor structure comprising memory, attention, language, and executive function. Factor scores from these analyses were used in a latent profile approach to characterize cognition among a group of cognitively normal participants (N = 3,911). Associations between latent profiles and disease outcomes an average of 3 years later were evaluated with multinomial regression models. Similar analyses were used to determine predictors of profile membership. RESULTS: Four groups were identified; each with distinct characteristics and significantly associated with later disease outcomes. Two groups were significantly associated with development of cognitive impairment. In post hoc analyses, both the Trail Making Test Part B, and a contrast score (Delayed Recall - Trails B), significantly predicted group membership and later cognitive impairment. CONCLUSIONS: Latent profile analysis is a useful method to evaluate patterns of cognition in large samples for the identification of preclinical AD phenotypes; comparable results, however, can be achieved with very sensitive tests and contrast scores.

Duke Scholars

Published In

Am J Geriatr Psychiatry

DOI

EISSN

1545-7214

Publication Date

November 2014

Volume

22

Issue

11

Start / End Page

1364 / 1374

Location

England

Related Subject Headings

  • Risk Factors
  • Prodromal Symptoms
  • Phenotype
  • Neuropsychological Tests
  • Memory
  • Male
  • Language
  • Humans
  • Geriatrics
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Hayden, K. M., Kuchibhatla, M., Romero, H. R., Plassman, B. L., Burke, J. R., Browndyke, J. N., & Welsh-Bohmer, K. A. (2014). Pre-clinical cognitive phenotypes for Alzheimer disease: a latent profile approach. Am J Geriatr Psychiatry, 22(11), 1364–1374. https://doi.org/10.1016/j.jagp.2013.07.008
Hayden, Kathleen M., Maragatha Kuchibhatla, Heather R. Romero, Brenda L. Plassman, James R. Burke, Jeffrey N. Browndyke, and Kathleen A. Welsh-Bohmer. “Pre-clinical cognitive phenotypes for Alzheimer disease: a latent profile approach.Am J Geriatr Psychiatry 22, no. 11 (November 2014): 1364–74. https://doi.org/10.1016/j.jagp.2013.07.008.
Hayden KM, Kuchibhatla M, Romero HR, Plassman BL, Burke JR, Browndyke JN, et al. Pre-clinical cognitive phenotypes for Alzheimer disease: a latent profile approach. Am J Geriatr Psychiatry. 2014 Nov;22(11):1364–74.
Hayden, Kathleen M., et al. “Pre-clinical cognitive phenotypes for Alzheimer disease: a latent profile approach.Am J Geriatr Psychiatry, vol. 22, no. 11, Nov. 2014, pp. 1364–74. Pubmed, doi:10.1016/j.jagp.2013.07.008.
Hayden KM, Kuchibhatla M, Romero HR, Plassman BL, Burke JR, Browndyke JN, Welsh-Bohmer KA. Pre-clinical cognitive phenotypes for Alzheimer disease: a latent profile approach. Am J Geriatr Psychiatry. 2014 Nov;22(11):1364–1374.
Journal cover image

Published In

Am J Geriatr Psychiatry

DOI

EISSN

1545-7214

Publication Date

November 2014

Volume

22

Issue

11

Start / End Page

1364 / 1374

Location

England

Related Subject Headings

  • Risk Factors
  • Prodromal Symptoms
  • Phenotype
  • Neuropsychological Tests
  • Memory
  • Male
  • Language
  • Humans
  • Geriatrics
  • Female