Group comparisons | Biomarkers | AUC (95% CI) | Specificity | Sensitivity |
---|
AD vs. OND | t-tau, p-tau, Aβ1–42
| 0.98 (0.96–1.00) | 0.88 | 1.00 |
DLB vs. OND | Age, Aβ1–42
| 0.79 (0.66–0.92) | 0.90 | 0.69 |
PD vs. OND | Age, t-tau | 0.72 (0.57–0.87) | 0.58 | 0.90 |
PDD vs. OND | Age, Aβ1–42
| 0.81 (0.68–0.94) | 0.69 | 0.95 |
AD vs. DLB | p-tau, FABP3 | 0.92 (0.86–0.98) | 0.76 | 0.95 |
AD vs. PDD | p-tau, a-syn, FABP3 | 0.96 (0.91–1.00) | 0.88 | 1.00 |
AD vs. PD | t-tau, α-syn | 0.99 (0.97–1.00) | 0.97 | 0.93 |
DLB vs. PDD | t-tau | 0.63 (0.46–0.79) | 0.85 | 0.42 |
DLB vs. PD | t-tau, a-syn, FABP3 | 0.92 (0.84–0.99) | 0.95 | 0.80 |
PD vs. PDD | Age, t-tau, a-syn, FABP3 | 0.91 (0.84–0.99) | 0.77 | 0.95 |
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Abbreviations: Aβ
1–42
Amyloid-β peptide 1–42, AD Alzheimer’s disease, DLB Dementia with Lewy bodies, FABP3 Fatty acid binding protein 3, heart type, OND Other neurological diseases, PD Parkinson’s disease, PDD Parkinson’s disease with dementia, p-tau
181
Phosphorylated tau 181, α-syn α-Synuclein, t-tau Total tau
- We used logistic regression to analyze which combination of biomarkers would be most useful to distinguish each disease from the control group (OND) and for differential diagnosis. Demographic variables such as age and sex were included to assess their influence on the final models. Several models were fitted using different combination of biomarkers and potential confounders; only the best performing model for each comparison is reported, according to AUC, sensitivity, and specificity