Table 4.

Stepwise-backwards multivariate logistic regression analysis showing the association of baseline characteristics/covariates with PLH at 24 h.

	OR (95% CI)	P > |z|
Model I: Baseline characteristics association with PLH (Model parameters: n = 119; dof = 4; pseudo R2 = 0.2767; area under the ROC curve = 0.85; goodness of fit (Pearson χ2) test: P = 0.1458; AIC = 119.8; BIC = 130.9; number of covariate patterns = 8; sensitivity = 66.7%; specificity = 89.61%; PPV = 77.8%; NPV = 83.13%; overall rate of correct classification = 81.5%).
Good collaterals	8.4 (3.1, 22.5)	<0.0001*
Infarction in cortical superior MCA territory	3.7 (1.3, 10.6)	0.013*
Infarction in striatocapsular territory	4.2 (1.6, 11.1)	0.004*
Model II covariates association with PLH (model parameters: n = 116; dof = 8; pseudo R2 = 0.4284; area under the ROC curve = 0.91; goodness of fit (Pearson χ2) test: P = 0.1724; AIC = 102.81; BIC = 124.84; number of covariate patterns = 39; sensitivity = 69.1%; specificity = 91.9%; PPV = 82.86%; NPV = 83.95%; overall rate of correct classification = 83.6%).
Good collaterals	5.05 (1.62, 15.7)	0.005*
Infarction in cortical superior MCA territory	4.7 (1.4, 15.7)	0.012*
Infarction in striatocapsular territory	9.45 (2.63, 33.96)	0.001*
HT	7.95 (0.52, 122.3)	0.137
Reperfusion status		0.0357*
Major reperfusion	7.5 (1.6, 35.1)	0.01*
Incomplete reperfusion	3.7 (0.4, 30.2)	0.227
No reperfusion	1a
Penumbral salvage
Yes	6.64 (1.8, 24.49)	0.004*
Noa	1

A/BIC: Akaike/Bayesian information criteria; dof: degrees of freedom; ENI: early neurological improvement; HT: haemorrhagic transformation; NPV: negative predictive value; PPV: positive predictive value; ROC: receiver–operator characteristic curve.

^aUsed as reference category.

P < 0.1 for enter and stay criteria. The two multivariate models differed in terms of the particular covariates/factors included.

^*P < 0.05 as the threshold for statistical significance.