Prediction of AD dementia by biomarkers following the NIA-AA and IWG diagnostic criteria in MCI patients from three European memory clinics

Annapaola Prestia, Anna Caroli, Sara K. Wade, Wiesjie M. Van Der Flier, Rik Ossenkoppele, Bart Van Berckel, Frederik Barkhof, Charlotte E. Teunissen, Anders Wall, Stephen F. Carter, Michael Schöll, Il Han Choo, Agneta Nordberg, Philip Scheltens, Giovanni B. Frisoni

Research output: Contribution to journalArticle

Abstract

Introduction Proposed diagnostic criteria (international working group and National Institute on Aging and Alzheimer's Association) for Alzheimer's disease (AD) include markers of amyloidosis (abnormal cerebrospinal fluid [CSF] amyloid beta [Aβ]42) and neurodegeneration (hippocampal atrophy, temporo-parietal hypometabolism on [18F]-fluorodeoxyglucose-positron emission tomography (FDG-PET), and abnormal CSF tau). We aim to compare the accuracy of these biomarkers, individually and in combination, in predicting AD among mild cognitive impairment (MCI) patients. Methods In 73 MCI patients, followed to ascertain AD progression, markers were measured. Sensitivity and specificity, positive (LR+) and negative (LR-) likelihood ratios, and crude and adjusted hazard ratios were computed. Results Twenty-nine MCI patients progressed and 44 remained stable. Positivity to any marker achieved the lowest LR- (0.0), whereas the combination Aβ42 plus FDG-PET achieved the highest LR+ (6.45). In a survival analysis, positivity to any marker was associated with 100% conversion rate, whereas negativity to all markers was associated with 100% stability. Discussion The best criteria combined amyloidosis and neurodegeneration biomarkers, whereas the individual biomarker with the best performance was FDG-PET.

Original languageEnglish
Pages (from-to)1191-1201
Number of pages11
JournalAlzheimer's and Dementia
Volume11
Issue number10
DOIs
Publication statusPublished - Oct 1 2015

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Keywords

  • Alzheimer's disease
  • Diagnostic accuracy
  • Diagnostic criteria
  • MCI
  • MRI
  • PET

ASJC Scopus subject areas

  • Clinical Neurology
  • Developmental Neuroscience
  • Cellular and Molecular Neuroscience
  • Psychiatry and Mental health
  • Geriatrics and Gerontology
  • Epidemiology
  • Health Policy

Cite this

Prestia, A., Caroli, A., Wade, S. K., Van Der Flier, W. M., Ossenkoppele, R., Van Berckel, B., Barkhof, F., Teunissen, C. E., Wall, A., Carter, S. F., Schöll, M., Choo, I. H., Nordberg, A., Scheltens, P., & Frisoni, G. B. (2015). Prediction of AD dementia by biomarkers following the NIA-AA and IWG diagnostic criteria in MCI patients from three European memory clinics. Alzheimer's and Dementia, 11(10), 1191-1201. https://doi.org/10.1016/j.jalz.2014.12.001