Table 6. Evaluation of logistic regression in American Spinal Injury Association (ASIA) Impairment Scale (AIS) A at admission cohort (Wald test) and leave-one-out cross-validation (LOOCV).

Model: $l={\beta }_0+{\beta }_{11}{x}_1+{\beta }_{12}{x}_1^2+{\beta }_2{x}_2+{\beta }_3{x}_3+{\beta }_4{x}_4+{\beta }_5{x}_5$, where $x_1:$ average MAP; $x_2$ : average HR; $x_3:$ length of surgery (min); $x_4:$ days to AIS discharge (days); $x_5:$ age (final n = 51)
LOOCV: average observed accuracy = 0.63; average kappa statistic = 0.197
Predictor	Coef. estimate (logit)	Std. error	z-Value	p-Value
Intercept	${\beta }_0$= –0.931	3.433	–0.271	0.786
Average MAP ($x_1$)	${\beta }_{11}$= 10.79	5.014	2.153	0.031*
Average MAP ($x_1^2$)	${\beta }_{12}$= –6.73	4.591	–1.468	0.142
Average HR ($x_2$)	${\beta }_2$= –0.016	0.035	–0.468	0.639
Length of surgery ($x_3$)	${\beta }_3$= 0.0039	0.0026	1.504	0.132
Days to AIS discharge ($x_4$)	${\beta }_4$= 0.0067	0.014	0.477	0.633
Age ($x_5$)	${\beta }_5$= –0.012	0.020	–0.599	0.549

*p < 0.05.