. Author manuscript; available in PMC: 2018 Aug 1.

Published in final edited form as: J Thorac Cardiovasc Surg. 2017 Feb 10;154(2):620–628.e6. doi: 10.1016/j.jtcvs.2017.01.050

Table 5.

Significance of Adding RACHS, STAT, Cyanotic/Acyanotic and Single/Two Ventricle Co-Variates to the PRISM Prediction Models.

	Morbidity-Intact Survival-Death (Trichotomous) Model		Survival-Death (Binary) Model
Factor	Significance Level ⁽³⁾	VUS With/Without Factor	Significance Level ⁽³⁾	AUC With/Without Factor
RACHS ⁽¹⁾	p = 0.53	0.483 / 0.497	p = 0.78	0.854 / 0.854
STAT ⁽²⁾	p = 0.16	0.472 / 0.490	p = 0.83	0.836 / 0.842
Cyanotic-Acyanotic	p = 0.75	0.457 / 0.467	p = 0.50	0.830 / 0.832
Single-two ventricle	p = 0.19	0.457 / 0.466	p = 0.37	0.830 / 0.832

RACHS categories 1 and 2, and categories 5 and 6, were combined to achieve sufficient numbers of outcomes in category levels to allow model convergence.

All 5 STAT categories were used in modeling.

For the likelihood ratio test, adding the factor to a model with outcome probabilities fit using the published model coefficients.

Abbreviations: VUS = Volume Under the Surface; AUC = Area Under the Curve.