A blood-based algorithm for the detection of Alzheimer's disease

Sid E. O'Bryant, Guanghua Xiao, Robert Barber, Joan Reisch, James Hall, C. Munro Cullum, Rachelle Doody, Thomas Fairchild, Perrie Adams, Kirk Wilhelmsen, Ramon Diaz-Arrastia

Research output: Contribution to journalArticle

65 Scopus citations

Abstract

Background: We previously created a serum-based algorithm that yielded excellent diagnostic accuracy in Alzheimer's disease. The current project was designed to refine that algorithm by reducing the number of serum proteins and by including clinical labs. The link between the biomarker risk score and neuropsychological performance was also examined. Methods: Serum-protein multiplex biomarker data from 197 patients diagnosed with Alzheimer's disease and 203 cognitively normal controls from the Texas Alzheimer's Research Consortium were analyzed. The 30 markers identified as the most important from our initial analyses and clinical labs were utilized to create the algorithm. Results: The 30-protein risk score yielded a sensitivity, specificity, and AUC of 0.88, 0.82, and 0.91, respectively. When combined with demographic data and clinical labs, the algorithm yielded a sensitivity, specificity, and AUC of 0.89, 0.85, and 0.94, respectively. In linear regression models, the biomarker risk score was most strongly related to neuropsychological tests of language and memory. Conclusions: Our previously published diagnostic algorithm can be restricted to only 30 serum proteins and still retain excellent diagnostic accuracy. Additionally, the revised biomarker risk score is significantly related to neuropsychological test performance.

Original languageEnglish (US)
Pages (from-to)55-62
Number of pages8
JournalDementia and Geriatric Cognitive Disorders
Volume32
Issue number1
DOIs
StatePublished - Sep 1 2011

Keywords

  • Algorithm, blood-based
  • Alzheimer's disease
  • Diagnosis

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Cognitive Neuroscience
  • Psychiatry and Mental health

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  • Cite this

    O'Bryant, S. E., Xiao, G., Barber, R., Reisch, J., Hall, J., Cullum, C. M., Doody, R., Fairchild, T., Adams, P., Wilhelmsen, K., & Diaz-Arrastia, R. (2011). A blood-based algorithm for the detection of Alzheimer's disease. Dementia and Geriatric Cognitive Disorders, 32(1), 55-62. https://doi.org/10.1159/000330750