Article Figures & Data
Figures
- Figure 1 The Plot Presents the ROC Curves Generated From the Univariate and the Multivariate Regression (Red) Models Listed in Table 2
The multivariate model uses LRG, pTau, Aβ1–40, Evans index, and transependymal flow as predictors and has the greatest AUC of 0.64 (95% CI 0.58–0.70). Aβ1–40 = β-amyloid 40; AUC = area under the receiver operating curve; CI = confidence interval; LRG = leucine-rich alpha-2-glycoprotein; pTau = phosphorylated tau.
- Figure 2 The Plot Presents the ROC Curves Generated From the Univariate and Multivariate (Red) Regression Models Listed in Table 3
The multivariate model uses age, NfL, pTau, and LRG as predictors and has the greatest AUC of 0.76 (95% CI 0.66–0.86). Aβ1–40 = β-amyloid 40; AUC = area under the receiver operating curve; CI = confidence interval; LRG = leucine-rich alpha-2-glycoprotein; NfL = neurofilament light; pTau = phosphorylated tau; tTau = total tau.
- Figure 3 Variable Importance Plot From Nonsupervised Random Forest Algorithm for Improvement After the TT Procedure
The mean decrease in accuracy attributed to a variable is determined during the classification error calculation phase. The more the accuracy of the random forest decreases due to the exclusion (or permutation) of a single variable, the more important that variable is deemed, and therefore, variables with a large mean decrease in accuracy are more important for classification of the outcome. The mean decrease in Gini coefficient is a measure of how each variable contributes to the homogeneity (purity) of the nodes and leaves in the resulting random forest. The Gini coefficient is a measure of homogeneity from 0 (homogeneous) to 1 (heterogeneous). The changes in Gini are summed for each variable and normalized at the end of the calculation. Variables that result in nodes with higher homogeneity have a higher decrease in Gini coefficient. Aβ1–40 = β-amyloid 40; Aβ1–42 = β-amyloid 42; LRG = leucine-rich alpha-2-glycoprotein; MoCA = Montreal Cognitive Assessment; NfL = neurofilament light; pTau = phosphorylated tau; TT = tap test; tTau = total tau.
- Figure 4 Variable Importance Plot From Nonsupervised Random Forest Algorithm for Improvement After Shunt Surgery
Aβ1–40 = β-amyloid 40; Aβ1–42 = β-amyloid 42; LRG = leucine-rich alpha-2-glycoprotein; MoCA = Montreal Cognitive Assessment; NfL = neurofilament light; pTau = phosphorylated tau; TT = tap test; tTau = total tau; TUG = Timed Up and Go.
Tables
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