Table 6.

Univariate logistic regression analysis -cerebrovascular reactivity and dichotomized outcome at 6 months

Model	AUC A/D	95% CI	AIC	P-value	AUC F/U	95% CI	AIC	P-value
PRx	0.784	0.520–0.986	26.0	0.02	0.418	0.222–0.644	49.2	0.552
L-PRx_5	0.832	0.624–0.992	24.1	0.007	0.587	0.369–0.791	49.0	0.475
L-PRx_10	0.880	0.728–0.999	23.2	0.005	0.591	0.369–0.796	48.9	0.446
L-PRx_20	0.880	0.728–0.992	22.4	0.003	0.609	0.391–0.800	48.7	0.378
L-PRx_30	0.888	0.736–0.999	22.6	0.003	0.627	0.409–0.818	48.7	0.367
L-PRx_40	0.880	0.712–0.992	22.8	0.004	0.613	0.404–0.813	48.6	0.357
L-PRx_60	0.848	0.688–0.968	23.3	0.005	0.596	0.378–0.796	48.6	0.344

AUC and 95% CI calculated using bootstrap methodology with 2000 iterations. Bolded values indicate those reaching statistical significance (alpha of 0.05)

A/D alive/dead, AUC area under the receiver operating curve, CI confidence interval, F/U favourable/unfavourable outcome (i.e. favourable = glasgow outcome scale of 5 to 8; unfavourable = glasgow outcome scale of 1 to 4), ICP intra-cranial pressure, MAP mean arterial pressure, PRx pressure reactivity index (correlation between ICP and MAP)