TY - JOUR
T1 - Neuropsychological latent classes at enrollment and postmortem neuropathology
AU - Zammit, Andrea R.
AU - Hall, Charles B.
AU - Bennett, David A.
AU - Ezzati, Ali
AU - Katz, Mindy J.
AU - Muniz-Terrera, Graciela
AU - Lipton, Richard B.
N1 - Funding Information:
Funding sources: This work was supported by the Memory and Aging Project (R01AG17917, R01AG343749, and R01AG42210) from the National Institute on Aging , the Einstein Aging Study (PO1 AG03949) from the National Institutes on Aging program, by the National Institute On Aging of the National Institutes of Health under Award Number K01AG054700 , and by the Sylvia and Leonard Foundation. The contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.
Publisher Copyright:
© 2019 the Alzheimer's Association
PY - 2019/9
Y1 - 2019/9
N2 - Introduction: We classified individuals based on their baseline performance on cognitive measures and investigated the association between cognitive classifications and neuropathological findings ∼7 years later, as an external validator. Methods: Brain autopsies of 779 decedents were examined. Baseline latent class analysis on 10 neuropsychological measures was previously assigned: mixed-domains impairment (n = 39, 5%), memory-specific impairment (n = 210, 27%), frontal impairment (n = 113, 14.5%), average cognition (n = 360, 46.2%), and superior cognition (n = 57, 7.3%). Linear regressions and risks ratios were used to examine the relation of latent class assignment at enrollment with neuropathological indices. Results: Amyloid β, tau, and transactive response DNA-binding protein 43 were associated with mixed-domains impairment and memory-specific impairment classes ∼7 years before death. Moderate arteriolosclerosis was associated with membership in the frontal impairment class. Discussion: Our findings support the use of latent class models that incorporate more comprehensive neuropsychological measures to classify cognitive impairment.
AB - Introduction: We classified individuals based on their baseline performance on cognitive measures and investigated the association between cognitive classifications and neuropathological findings ∼7 years later, as an external validator. Methods: Brain autopsies of 779 decedents were examined. Baseline latent class analysis on 10 neuropsychological measures was previously assigned: mixed-domains impairment (n = 39, 5%), memory-specific impairment (n = 210, 27%), frontal impairment (n = 113, 14.5%), average cognition (n = 360, 46.2%), and superior cognition (n = 57, 7.3%). Linear regressions and risks ratios were used to examine the relation of latent class assignment at enrollment with neuropathological indices. Results: Amyloid β, tau, and transactive response DNA-binding protein 43 were associated with mixed-domains impairment and memory-specific impairment classes ∼7 years before death. Moderate arteriolosclerosis was associated with membership in the frontal impairment class. Discussion: Our findings support the use of latent class models that incorporate more comprehensive neuropsychological measures to classify cognitive impairment.
KW - Alzheimer's dementia
KW - Heterogeneity
KW - Individual differences
KW - Latent variable modeling
KW - Neuropathology
KW - Neuropsychology
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U2 - 10.1016/j.jalz.2019.05.012
DO - 10.1016/j.jalz.2019.05.012
M3 - Article
C2 - 31420203
AN - SCOPUS:85070507552
SN - 1552-5260
VL - 15
SP - 1195
EP - 1207
JO - Alzheimer's and Dementia
JF - Alzheimer's and Dementia
IS - 9
ER -
