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. 2018 May 16;7(11):e008719. doi: 10.1161/JAHA.118.008719

Table 6.

Multivariable Cox Proportional Hazards Model

Predictor Univariable Model Multivariable Model
HR (95% CI) P Value HR (95% CI) P Value
Race, white vs other 1.00 (0.67, 1.51) 0.990 ··· ···
Birth weight, kg 1.36 (1.10, 1.67) 0.005 1.36 (1.06, 1.60) 0.011
Pulmonary valve anatomy
Atresia vs stenosis 0.50 (0.32, 0.79) 0.003 0.53 (0.39, 1.04) 0.036
Absent vs stenosis 0.26 (0.08, 0.82) 0.021 0.28 (0.08, 0.97) 0.044
Aortopulmonary collaterals 0.49 (0.28, 0.87) 0.016 0.44 (0.24, 0.84) 0.018
Number of CPB runs, >1 vs 1 0.42 (0.24, 0.74) 0.003 0.34 (0.19, 0.63) 0.001
Total aortic cross‐clamp time (10‐min increase) 0.89 (0.84, 0.95) 0.001 0.88 (0.79, 0.97) 0.009
Use of DHCA 0.56 (0.30, 1.03) 0.063 0.74 (0.31, 1.75) 0.491
Lowest hematocrit on CPB 1.06 (1.02, 1.10) 0.002 1.05 (0.99, 1.10) 0.097
Neonatal vs nonneonatal repair 0.54 (0.35, 0.85) 0.008 0.52 (0.31, 0.85) 0.010

Results from the Cox proportional hazards models adjusting for surgeon are reported as hazard ratios with 95% confidence intervals. These covariates explain 41% of the variability in time to hospital discharge. Postoperative variables were excluded, as they are collinear with the outcome. CI indicates confidence interval; CPB, cardiopulmonary bypass; DHCA, deep hypothermic circulatory arrest; HR, hazard ratio.