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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