Table 2.

Modeling results.

	N-n ROC	N-n Wald stat		LR ROC	N-n Wald stat		Both: ROC	Both: Wald stat	N-n add?	LR add?
HRC	0.71	134		0.74	105		0.74	137	*	*
WBC	0.57	12		0.53	3.1		0.58	15	*
I:T ratio	0.67	58		0.69	60		0.70	74	*	*
platelet count	0.61	33		0.62	55		0.63	58		*
glucose	0.51	0.4		0.54	3.5		0.54	3.8
pCO2	0.56	5.5		0.58	5.8		0.58	6.9		*
pH	0.57	6.3		0.58	6.2		0.59	9.6		*
HCO3	0.53	0.9		0.58	9.0		0.60	15	*	*
Combined model	0.85	317		0.87	311		0.87	472	*	*
Optimal model	0.86	358		0.87	319		0.88	480	*	*

N-n = nearest-neighbor analysis; LR = logistic regression; both = bivariable regression model using results of nearest-neighbor analysis and multivariable logistic regression models; ROC = receiver-operating characteristic area; Wald stat = Wald statistic; HRC = heart rate characteristics; WBC = white blood cell count; I:T ratio = ratio of immature to total white blood cell forms; N-n add * = nearest-neighbor model added significant information to logistic regression model (p<0.05); LR add * = logistic regression model added significant information to nearest-neighbor model (p<0.05).