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Table 2 Multivariate regression models to predict post-mortem AD-tau pathology

From: Detection of Alzheimer’s disease (AD) specific tau pathology with conformation-selective anti-tau monoclonal antibody in co-morbid frontotemporal lobar degeneration-tau (FTLD-tau)

Univariate Models
Variable Odds ratio 95% confidence interval P-value R 2 BIC
Neuropathological diagnosis 2.77 1.34–5.71 0.006 0.055 183.23
Gender 1.11 0.54–2.30 0.777 < 0.001 193.19
Age at death 1.12 1.06–1.18 < 0.001 0.119 171.50
MAPT haplotype H1/H1 0.89 0.31–2.56 0.836 < 0.001 175.52
APOE4 1.70 0.68–4.24 0.259 0.007 174.35
CERAD score C2/C3a 5.31 2.34–12.09 < 0.001 0.096 159.55
Final Multivariate Model
Variable Odds ratio 95% confidence interval P-value R2 = 0.164 BIC = 153.38
Age at death 1.09 1.03–1.15 0.002
CERAD score C2/C3a 3.75 1.58–8.89 0.003
Intercept 0.0002 3.2 × 10−6, 0.0155 < 0.001
  1. Table displays univariate associations between negligible-low AD-tau (B0/B1 = 0) and medium-high AD-tau (B2/B3 = 1) and variables in the upper panel and the optimal multivariate model in the lower panel. Based on 165 observations. Model R2 = 0.1639, p < 0.0001. BIC Bayesian information criteria
  2. areference category = CERAD C0/C1