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Table 2 Association of step-wise linear regression models with postmortem TDP-43 burden and MMSE outcome measures and diagnostic accuracy

From: Multimarker synaptic protein cerebrospinal fluid panels reflect TDP-43 pathology and cognitive performance in a pathological cohort of frontotemporal lobar degeneration

 

Summary Statistics

Forced Entry

Test variables

Panel

Study group

AIC

adj.r2

p

CSF-autopsy (a) / Education (b)

Age-at-death (a) / Age-at-CSF (b)

AD comorbidity

Sex

Calsyntenin-1

VAMP-2

Neurexin-3a

GluA4

Syntaxin-1b

Neuroligin-2

Neurexin-2a

Thy-1

a) Outcome measure: Global TDP-43

 A[CLSTN1-VAMP2]

FTLD

119

0.69

0.003

-0.91

-2.91

 

3.1

-4.8

2.71

-1.28

     

b) Outcome measure: MMSE

 A[CLSTN1-VAMP2]

FTLD

273

0.19

0.03

1.21

-1.9

  

-0.36

2.41

-2.43

     

 B[CLSTN1-VAMP2-GLUA4]

FTLD-Tau

98

0.49

0.04

-1.79

-2.45

  

-3.60

3.15

 

2.57

1.90

   

FTLD-TDP

174

0.02

0.40

0.93

-1.46

  

-0.23

0.80

 

0.91

-0.68

   

FTLD

279

0.09

0.16

1.46

-1.29

  

-0.65

1.16

 

0.99

-1.29

   

 C[GLUA4-NRX3A-STX1B]

FTLD-Tau

131

0.02

0.45

1.49

-0.55

0.22

   

-1.59

1.28

-0.57

0.65

  

FTLD-TDP

162

0.40

0.02

2.54

-3.21

1.33

   

-3.42

3.71

-2.4

1.69

  

FTLD

291

0.30

0.004

2.11

-2.53

1.12

   

-3.5

3.74

-2.22

1.22

  

c) Outcome measure: AUC

 

FTLD-Tau vs Controls

FTLD-Tau vs AD

FTLD-TDP vs Controls

FTLD-TDP vs AD

FTLD-TDP vs FTLD-Tau

Model

AUC

95%CI

AUC

95%CI

AUC

95%CI

AUC

95%CI

AUC

95%CI

 A[CLSTN1-VAMP2]

71.1

56–85

80.1

66–92

76.9

64–88

77.2

63–89

72.6

57–86

 B[CLSTN1-VAMP2-GLUA4]

71.3

56–85

75.8

60–89

82.3

71–93

81.3

68–92

83.0

70–94

 C[GLUA4-NRX3A-STX1B]

64.6

49–79

79.7

66–91

65.8

52–79

66.7

51–82

70.8

55–84

  1. Summary statistics and composition of each step-wise regression model is shown for models associated with postmortem TDP-43 burden and MMSE outcome measures (a-b) and their diagnostic performance in FTLD and FTLD neuropathologic subtypes (c)
  2. The model statistics and effect size for each variable included in the final regression model resulting from backward step-wise regression as predictors for the outcome variable are given for models where p < 0.05
  3. Variables that significantly contributed to the model (p < 0.05) are shown in bold
  4. AIC Akaike Information criteria