4.7 Article

Amyloid imaging and CSF biomarkers in predicting cognitive impairment up to 7.5 years later

Journal

NEUROLOGY
Volume 80, Issue 19, Pages 1784-1791

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1212/WNL.0b013e3182918ca6

Keywords

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Funding

  1. Longer Life Foundation
  2. National Institute of Neurological Disorders and Stroke [P30 NS057105]
  3. National Institute on Aging [P50 AG005681, P01 AG003991, P01 AG026276]
  4. Charles and Joanne Knight Alzheimer's Research Initiative of the Washington University Knight Alzheimer's Disease Research Center
  5. National Institute of Aging of the NIH [P01 AG026276, P01 AG03991, U01 AG032438]
  6. Hope Center for Neurological Disorders
  7. Avid Radiopharmaceuticals
  8. Eli Lilly
  9. AstraZeneca
  10. Pfizer
  11. Janssen Immunotherapy
  12. Eli Lilly and Company

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Objectives: We compared the ability of molecular biomarkers for Alzheimer disease (AD), including amyloid imaging and CSF biomarkers (A beta(42), tau, ptau(181), tau/A beta(42), ptau(181)/A beta(42)), to predict time to incident cognitive impairment among cognitively normal adults aged 45 to 88 years and followed for up to 7.5 years. Methods: Longitudinal data from Knight Alzheimer's Disease Research Center participants (N = 201) followed for a mean of 3.70 years (SD = 1.46 years) were used. Participants with amyloid imaging and CSF collection within 1 year of a clinical assessment indicating normal cognition were eligible. Cox proportional hazards models tested whether the individual biomarkers were related to time to incident cognitive impairment. Expanded models were developed using the biomarkers and participant demographic variables. The predictive values of the models were compared. Results: Abnormal levels of all biomarkers were associated with faster time to cognitive impairment, and some participants with abnormal biomarker levels remained cognitively normal for up to 6.6 years. No differences in predictive value were found between the individual biomarkers (p > 0.074), nor did we find differences between the expanded biomarker models (p > 0.312). Each expanded model better predicted incident cognitive impairment than the model containing the biomarker alone (p < 0.005). Conclusions: Our results indicate that all AD biomarkers studied here predicted incident cognitive impairment, and support the hypothesis that biomarkers signal underlying AD pathology at least several years before the appearance of dementia symptoms. Neurology (R) 201380:1784-1791

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