Table 4.

Logistic Regression Analysis with Generalized Estimating Equations of Brain Abnormalities (Only significant differences are shown)

Endpoints	Odds ratio (95% CI)	P value
Non-acute Ischemic T2 Changes		0.0001
BDG vs. pre-BDG	8.75 (3.173, 24.150)	<0.0001
Fontan vs. pre-BDG	6.16 (2.007, 18.916)	0.0015
Fontan vs. BDG	0.70 (0.418, 1.185)	0.1866
PVL		0.0002
BDG vs. pre- BDG	3.68 (1.834, 7.383)	0.0002
Fontan vs. pre- BDG	2.00 (0.896, 4.462)	0.0905
Fontan vs. BDG	0.54 (0.329, 0.899)	0.0175
Ventriculomegaly
Yes vs. No		0.0237
BDG vs. pre- BDG	2.84 (1.342, 6.028)	0.0064
Fontan vs. pre- BDG	2.53 (1.205, 5.319)	0.0142
Fontan vs. BDG	0.89 (0.667, 1.187)	0.4269
SWI veins
Borderline versus Normal		0.0008
BDG vs. pre- BDG	0.48 (0.055, 4.229)	0.5099
Fontan vs. pre- BDG	0.12 (0.014, 1.077)	0.0583
Fontan vs. BDG	0.25 (0.119, 0.543)	0.0004
Prominent versus Normal		<0.0001
BDG vs. pre- BDG	0.02 (0.003, 0.179)	0.0004
Fontan vs. pre- BDG	0.01 (0.001, 0.043)	<0.0001
Fontan vs. BDG	0.23 (0.096, 0.557)	0.0011
Prominent versus Borderline		<0.0001
BDG vs. pre-BDG	0.05 (0.016, 0.127)	<0.0001
Fontan vs. pre-BDG	0.04 (0.011, 0.142)	<0.0001
Fontan vs. BDG	0.88 (0.351, 2.221)	0.7911