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. Author manuscript; available in PMC: 2021 Oct 1.
Published in final edited form as: Alzheimer Dis Assoc Disord. 2020 Oct-Dec;34(4):299–305. doi: 10.1097/WAD.0000000000000389

Table 3.

Association of latent class with neuropathologic indices

Neuropathologic indices Estimate (96% Confidence interval)
Global AD pathology1 0.192 (0.095–0.289)
LATE-NC2 3.144 (1.836–5.384)
Hippocampal sclerosis2 5.001 (1.295–19.31)
Lewy bodies2 1.023 (0.535–1.953)
Macroscopic infarcts2 1.082 (0.610–1.919)
Microinfarcts2 1.268 (0.716–2.243)
Amyloid angiopathy2 1.352 (0.823–2.223)
Atherosclerosis2 1.278 (0.757–2.157)
Arteriolosclerosis2 1.068 (0.640–1.782)
1

Linear regression;

2

logistic regression

The point estimates (beta coefficient for linear regression and odds ratio for logistic regression) in each cell were obtained from separate regression models, adjusted for age at death, sex and education. The beta coefficient estimates the between-group difference in the composite score of global AD pathology, and the odds ratio compares the odds of having corresponding neuropathology (or the odds of having more severe neuropathology for semiquantitative measure) between participants with low literacy performance and high performance (reference).

LATE-NC is a semiquantitative measure coded as Stage 0: no TDP-43 inclusion, Stage 1: inclusion limited to amygdala, Stage 2: inclusion extended to other limbic regions, and Stage 3: inclusion extended to neocortical regions. Amyloid angiopathy, atherosclerosis and arteriolosclerosis are semiquantitative measures coded as 0: none, 1: mild, 2: moderate and 3: severe.