TABLE 3.

Results of Multivariable Logistic Regression Models Using Clinical-Procedural Risk Factors and Genotypic Information

Predictor	OR (95% CI)	Predictor P	Model P	Model C-statistic	Model AIC
Clinical Model
AXC time (10 min)	1.17 (1.09–1.26)	< 0.0001	< 0.0001	0.703	367
No. coronary grafts	1.35 (1.09–1.66)	0.005
Previous cardiac surgery	2.62 (1.11–6.19)	0.027
Multi-Locus Genetic Model
IL6 –572G > C (rs1800796)	2.75 (1.2–6.3)	0.017	0.01*	0.695	268
ICAM1 K469E (rs5498)	1.82 (1.17–2.85)	0.009
SELE 98G > T(rs1805193)	0.19 (0.05–0.81)	0.025
Clinico-Genetic Model
AXC time (10 minutes)	1.16 (1.07–1.26)	0.0002	< 0.0001	0.764	251
No. coronary grafts	1.29 (1.002–1.65)	0.048
Previous cardiac surgery	3.93 (1.21–12.81)	0.023
IL6 – 572G > C (rs1800796)	2.47 (1.02–5.97)	0.045
ICAM1 K469E (rs5498)	1.88 (1.17–3.04)	0.009
SELE 98G > T(rs1805193)	0.16 (0.03–0.74)	0.019

^*Bonferroni-adjusted for n = 136 independent tests (55 2-SNP models, 81 3-SNP models).

C-statistic indicates area under the receiver operator characteristic curve; AIC, Akaike’s Information Criterion.