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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