Feasibility of Predicting MCI/AD Using Neuropsychological Tests and Serum β-Amyloid

Table 2

Optimal sensitivities with specificities at least 80% for the various models*.

Model	Sensitivity	Specificity	^≪R^2	^⊲Goodness-of-fit test
Neuropsychological tests^†	67.9%	80.0%	0.32	9.32
Aβ 1–40 and Aβ 1–42	55.6%	80.0%	0.22	12.81
Aβ 1–42/Aβ 1–40 ratio	59.3%	80.0%	0.22	6.28
Neuropsychological tests and Aβ 1–40 and Aβ 1–42	85.2%	85.9%	0.47	2.31
Neuropsychological tests and Aβ 1–42/Aβ 1–40 ratio	85.2%	86.5%	0.49	4.48

*Calculations based on predicted probabilities form Logistic Regression.
^†Modified Mini-Mental State Examination, Hopkins Verbal Learning Test-Revised Trial 4, supermarket fluency.
^≪Represents Negelkerke R².
^⊲Hosmer and Lemeshow chi-square test of goodness of fit, a 𝑃 value of >.05 was noted and indicates that the model adequately fits the data.