Table 3.
Models | Olfactory tests | Sensitivity | Specificity | PPV | NPV | LR+ | LR– | AUC | p1-values | p2-values |
---|---|---|---|---|---|---|---|---|---|---|
(A) SINGLE MODELS* | ||||||||||
TDI score | 0.802 | 0.722 | 0.891 | 0.259 | 2.885 | 0.274 | 0.828 | <0.05 | ||
TD score | 0.692 | 0.748 | 0.884 | 0.235 | 2.746 | 0.412 | 0.772 | <0.05 | <0.05 | |
TI score | 0.796 | 0.730 | 0.894 | 0.262 | 2.948 | 0.279 | 0.819 | <0.05 | 0.306 | |
DI score | 0.738 | 0.748 | 0.893 | 0.251 | 2.929 | 0.350 | 0.815 | <0.05 | 0.239 | |
T score | 0.612 | 0.783 | 0.888 | 0.229 | 2.820 | 0.496 | 0.731 | <0.05 | <0.05 | |
D score | 0.544 | 0.791 | 0.875 | 0.215 | 2.603 | 0.576 | 0.723 | <0.05 | <0.05 | |
I score | 0.712 | 0.757 | 0.894 | 0.247 | 2.930 | 0.380 | 0.818 | <0.05 | 0.481 | |
(B) INTEGRATED MODELS** | ||||||||||
TDI score | 0.803 | 0.896 | 0.971 | 0.515 | 7.721 | 0.220 | 0.918 | <0.05 | ||
TD score | 0.846 | 0.835 | 0.956 | 0.559 | 5.127 | 0.184 | 0.902 | <0.05 | <0.05 | |
TI score | 0.838 | 0.870 | 0.965 | 0.556 | 6.446 | 0.186 | 0.913 | <0.05 | 0.298 | |
DI score | 0.783 | 0.913 | 0.975 | 0.495 | 9.000 | 0.238 | 0.913 | <0.05 | 0.374 | |
T score | 0.756 | 0.887 | 0.966 | 0.459 | 6.690 | 0.275 | 0.890 | <0.05 | <0.001 | |
D score | 0.707 | 0.922 | 0.975 | 0.424 | 9.064 | 0.318 | 0.886 | <0.05 | <0.001 | |
I score | 0.813 | 0.896 | 0.971 | 0.528 | 7.817 | 0.209 | 0.916 | <0.05 | 0.797 |
p1-values show the significance of differentiating PD patients from controls calculated by SPSS. p2-values were calculated by MedCalc software. p2-values of (A) were calculated by comparing AUC between each score with TDI score in single models, p2-values of (B) were calculated by comparing AUC between each score with TDI score in integrated models. p < 0.05 were considered significant.
Single models were built upon each corresponding olfactory test, after adjustment of age and educational years.
Integrated models were built upon each corresponding olfactory test and MMSE, NMSS, after adjustment of age and educational years.
PPV, positive predictive values; NPV, negative predictive values; LR+, positive likelihood ratios; LR–, negative likelihood ratios; T, threshold; D, Discrimination; I, Identification.