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Table 3 Cut-off scores and sensitivity/specificity values of fluid biomarkers for discriminating the prodromal AD or AD dementia from normal subjects

From: Plasma contact factors as novel biomarkers for diagnosing Alzheimer’s disease

Characteristics

Normal (n = 50) vs. Prodromal AD (n = 23) groups

Normal (n = 50) vs. AD dementia (n = 28) groups

Cut-off

Sen (%)

Spe (%)

AUC

p value

Cut-off

Sen (%)

Spe (%)

AUC

p value

Plasma factors

 FXIIa activity, U/ml

>  26.3

73.9

74.0

0.783

<  0.001

>  27.2

78.6

78.0

0.906

<  0.001

 FXIa activity, U/ml

>  1.13

52.2

52.0

0.566

0.367

>  1.17

57.1

58.0

0.659

0.020

 FXa activity, U/ml

>  0.76

56.5

54.0

0.573

0.316

>  0.82

71.4

70.0

0.779

<  0.001

 Kallikrein activity, U/ml

>  1.21

56.5

56.0

0.609

0.138

>  1.29

64.3

64.0

0.772

<  0.001

CSF biomarkers

 Aβ1–42 levels, pg/ml

<  832.4

87.0

88.0

0.962

<  0.001

<  721.7

89.3

98.0

0.979

<  0.001

 t-Tau levels, pg/ml

>  252.6

65.2

66.0

0.701

0.006

>  315.3

85.7

86.0

0.954

<  0.001

 p-Tau181 levels, pg/ml

>  46.1

65.2

64.0

0.690

0.009

>  46.1

78.6

78.0

0.870

<  0.001

 BK levels, pg/ml

>  46.1

54.5

56.5

0.656

0.073

>  52.8

74.1

73.9

0.783

0.001

Ratios

 Aβ1–42 / FXIIa

<  33.8

87.0

86.0

0.965

<  0.001

<  27.4

100.0

100.0

1.000

<  0.001

 Aβ1–42 / FXIa

<  742.5

82.6

82.0

0.930

<  0.001

<  635.4

96.4

96.0

0.993

<  0.001

 Aβ1–42 / FXa

<  1,091

82.6

82.0

0.933

<  0.001

<  941.8

96.4

96.0

0.994

<  0.001

 Aβ1–42 / Kallikrein

<  680.9

87.0

86.0

0.943

<  0.001

<  584.8

96.4

96.0

0.994

<  0.001

  1. Statistically-derived optimal cut-off value was determined with the best balance between sensitivity (Sen) and specificity (Spe) values. Discrimination of prodromal AD and AD dementia from normal group was evaluated by receiver operator characteristics (ROC) curve analysis and quantified by the area under the curve (AUC) using SPSS software version 24.0