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Table 1: Single-predictor logistic regression analysis for predicting patients who required CSF diversion surgery^{^a}
Predictor β SE Wald χ² df P Exp(β) OR Sensitivity Specificity Overall Accuracy
MOMS Index 2.262 0.841 7.236 1 .007 9.600 0.643 0.842 0.757
gCC_FA –1.358 0.506 7.193 1 .007 0.257 0.572 0.842 0.727
gCC_MD 0.970 0.444 4.773 1 .029 2.638 0.571 0.737 0.667
PLIC_FA –0.953 0.482 3.905 1 .048 0.386 0.500 0.842 0.697
PLIC_MD 0.794 0.506 2.464 1 .117 2.212 0.214 0.947 0.636
Sex –0.773 0.728 1.129 1 .288 0.462 0.500 0.684 0.606
FOHR 0.173 0.362 0.230 1 .631 1.189 0.070 1.000 0.606
Note:—Sensitivity indicates the percentage of patients who were correctly predicted among patients who required surgery; Specificity, the percentage of patients who were correctly predicted among patients who did not require surgery; SE, standard error.
↵a All the predictors were tested individually with the intercept term included (not shown).