Table 3.

Deviance analysis of prediction models for different endpoints.

Model	AIC	Deviance	d.f.	p
Early neurologic improvement
W/LSA-term	100.16	88.157	80
W/o LSA-term	110.03	100.03	81	0.0005708
Discharge mRS≤2
W/p LSA-term	89.457	77.457	76
W/o LSA-term	10.044	90.438	77	0.0003147
Day 90 mRS≤2
W/LSA-term	73.13	61.313	66
W/o LSA-term	83.529	73.529	67	0.0004739

Note: The Akaike information criterion and deviance is displayed stratified according to two distinct predictions models, one including the variable LSA-sign⁺ vs. LSA-sign⁻ (LSA-term) and one without the LSA term. Both models included age, admission NIHSS, reperfusion grade, final infarct volume and time to treatment. Data are displayed for three different clinical endpoints (early neurologic improvement, defined as difference between admission and discharge NIHSS ≥8 or discharge NIHSS ≤ 1, modified Rankin scale at discharge ≤2 and modified Ranking scale at day 90 ≤ 2). The p value refers to the comparison of deviance between the model including the LSA-term and the model excluding the LSA-term.

mRS: modified Rankin scale, W/: with; w/o: without; AIC: Akaike information criterion; d.f.: degrees of freedom.