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Table 7 Biomarker multiple regression models for CDR 0.5 s

From: Is comprehensiveness critical? Comparing short and long format cognitive assessments in preclinical Alzheimer disease

Predictor

Amyloid PET (Centiloid)

Tau PET (SUVR)

AD ROI Cortical Thickness

Beta

95% CI

p

Beta

95% CI

p

Beta

95% CI

p

Beta

95% CI

p

Beta

95% CI

p

Beta

95% CI

p

Age

0.03

− 0.04, 0.10

0.40

0.03

− 0.04, 0.10

0.40

− 0.12

− 0.23, − 0.01

0.026

− 0.13

− 0.26, − 0.01

0.041

− 0.05

− 0.12, 0.01

0.11

− 0.05

− 0.12, 0.02

0.13

Gender

0.61

− 0.24, 1.5

0.20

0.63

− 0.24, 1.5

0.15

1.10

− 0.24, 2.3

0.11

1.10

− 0.44, 2.6

0.20

− 0.02

− 0.85, 0.81

> 0.9

− 0.05

− 0.94, 0.84

> 0.9

Education

0.02

− 0.18, 0.21

0.90

0.03

− 0.19, 0.25

0.80

0.22

− 0.08, 0.52

0.14

0.19

− 0.20, 0.58

0.30

− 0.18

− 0.37, 0.02

0.073

− 0.11

− 0.33, 0.12

0.40

APOE

1.2

0.37, 2.1

0.006

1.3

0.45, 2.2

0.004

0.85

− 0.48, 2.2

0.2

1.30

− 0.29, 2.8

0.11

− 0.04

− 0.90, 0.81

> 0.9

− 0.2

− 1.1, 0.70

0.70

MoCA

− 0.33

− 0.61, − 0.06

0.018

   

− 1.2

− 1.6, − 0.74

< 0.001

   

0.36

0.09, 0.63

0.009

   

Global composite

   

− 0.85

− 1.7, − 0.04

0.041

   

− 2.4

− 3.8, − 1.0

0.002

   

0.45

− 0.39, 1.3

0.30

R2

0.383

  

0.362

  

0.572

  

0.406

  

0.206

  

0.088

  

 AIC

171

  

173

  

206

  

221

  

169

  

175

  

 BIC

184

  

185

  

218

  

233

  

182

  

188

  

 Deviance

77.6

  

80.2

  

173

  

241

  

74

  

85

  
  1. Imaging biomarkers standardized using CDR 0 means and SDs. Betas can be interpreted as the degree of biomarker change in SDs for every 1-unit change in the predictor
  2. CI confidence interval