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. 2022 Feb 15;129(2):231–237. doi: 10.1007/s00702-022-02474-9

Table 2.

Diagnostic accuracy of plasma biomarkers to discriminate non pathological CSF (A−/T−/N−) profiles in the cohort of Montpellier and Barcelona

Non-pathological CSF (A−/T−/N−) The Montpellier cohort The Barcelona cohort
Blood biomarkers AUC SE 95% CI p AUC SE 95% CI p
1–40(Q3) 0.661 0.069 0.530–0.777 0.020 0.638 0.080 0.490–0.769 0.085
1–40(Q4) 0.672 0.068 0.542–0.785 0.011
1–40(IP-MS) 0.526 0.074 0.396–0.653 0.728 0.549 0.051 0.463–0.633 0.329
1–42(Q3) 0.548 0.077 0.417–0.675 0.534 0.715 0.076 0.571–0.834 0.044
1–42(Q4) 0.542 0.076 0.410–0.669 0.601
1–42(IP-MS) 0.638 0.073 0.507–0.755 0.060 0.656 0.048 0.571–0.733 0.001
Tau 0.612 0.078 0.480–0.733 0.149 0.618 0.081 0.470–0.752 0.495
p-tau(181) 0.865 0.049 0.756––0.938 < 0.0001 0.773 0.039 0.697–0.837 < 0.0001
1–42/Aβ40(Q3) 0.709 0.068 0.580–0.818 0.002 0.848 0.062 0.719–0.934 < 0.0001
1–42/Aβ40(Q4) 0.753 0.065 0.627–0.854 < 0.0001
1–42/Aβ40(IP-MS) 0.715 0.066 0.587–0.822 0.001 0.661 0.048 0.577–0.739 0.0008
Logistic regression Aβ1–40, Aβ1–42, p-tau(181) 0.904 0.040 0.804–0.964 < 0.0001 0.882 0.050 0.759–0.956 < 0.0001

Biomarkers were quantified using either Quanterix technology (Q3 and Q4) or Shimadzu approach (IP-MS). Significant differences are indicated by bolded p (threshold 0.05)