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. 2023 Jul 25;13:268. doi: 10.1038/s41398-023-02558-4

Table 2.

ROC analyses to discriminate Aβ PET-positive from Aβ PET-negative individuals.

Cohort Predictor AUC (%) 95% CI Cut-off Specificity (%) Sensitivity (%) PPV* NPV**
A: Discriminatory performance of plasma biomarkers: ROC curves analysis
 Entire cohort (n =123†) BMs combined via Lasso regression (dropped pTau181 and Aβ40, and pTau181/Aβ42 ratio) 85.9 79–92.8 1.5 77.4 82.9 83 77
Plasma GFAP 78.0 69.5–86.4 90.3 50.9 94.3 72 87
Plasma pTau231 68.9 59.3–78.5 16.1 77.4 60.0 78 59
Plasma pTau181/Aβ42 74.3 65.2–83.4 1.6 71.7 75.7 78 69
Plasma pTau181 67.8 58.1–77.6 8.6 47.2 85.7 68 71
Plasma Aβ42 65.1 55.2–75.1 6.4 77.4 54.3 76 56
Plasma Aβ42/40 62.0 51.6–72.4 0.1 47.2 78.6 66 62
Plasma Aβ40 59.6 49.1–70 117.9 58.5 70.0 69 60
Plasma NFL 51.3 40.6–62.1 14.3 30.2 82.9 61 57
B: Discriminatory performance of plasma biomarkers: ROC curves analysis
 Subset of individuals with MCI (n =74††) BMs combined via Lasso regression (dropped Aβ40) 93.9 87.2–100 1.5 81.5 100.0 90 100
Plasma GFAP 84.1 75–93.2 90.3 59.3 95.7 80 89
Plasma pTau231 70.6 58.1–83.1 15.4 81.5 57.4 84 52
Plasma pTau181/Aβ42 63.3 49–77.5 1.6 63.0 70.2 77 55
Plasma pTau181 64.7 50.8–78.6 10.9 74.1 59.6 80 51
Plasma Aβ42 57.1 42.6–71.5 6.5 70.4 53.2 76 46
Plasma Aβ42/40 55.2 40.2–70.3 0.1 40.7 80.9 70 55
Plasma Aβ40 55.2 40.6–69.7 116.8 59.3 61.7 72 47
Plasma NFL 58.6 43.7–73.4 20.3 70.4 55.3 76 48
C: Discriminatory performance of plasma biomarkers: ROC curves analysis
 Subset of individuals with follow-up (n = 18) Lasso regression (kept only NfL-> see NfL)
Plasma GFAP 65.4 37.3–93.5 142.0 77.8 66.7 75 70
Plasma pTau231 59.3 31.1–87.4 17.0 44.4 77.8 58 67
Plasma pTau181/Aβ42 67.9 39.3–96.5 1.9 55.6 100.0 69 100
Plasma pTau181 72.8 47.9–97.8 12.5 44.4 100.0 64 100
Plasma Aβ42 49.4 20.1–78.7 7.2 44.4 77.8 58 67
Plasma Aβ42/40 54.3 25.5–83.1 0.0 22.2 100.0 56 100
Plasma Aβ40 66.7 38.8–94.5 128.4 44.4 100.0 64 100
Plasma NFL 76.5 53.6–99.5 25.1 44.4 100.0 64 100

*PPV = positive predictive value. **NPV = negative predictive value. pTau231 missing in 3 subjects. ††pTau231 missing in 3 subjects.

Sensitivity = probability of detecting true positive (100% if all true positives (TP) are detected and no false negatives (FN) are present).

Specificity = probability of detecting true negative (100% if all true negatives (TN) are present and no false positive (FP) are present).

Positive Predictive Value (PPV) = probability of true positive test (100% if only true positives (TP) are detected and no false positives (FP) are present).

Negative Predictive Value (NPV) = probability of true negative test (100% if only true negatives (TN) are detected and no false negatives (FN) are present).