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).