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. 2013 Apr 10;2013:904860. doi: 10.1155/2013/904860

Table 1.

Multiple linear regression demonstrates significant predictor variables for neurologic outcome in aneurysmal subarachnoid hemorrhage.

Independent variable P value β coefficients Collinearity diagnostics
(95% confidence interval) (tolerance, VIF)
Normal motor response <0.001 −0.329 (−0.496, −0.161) (0.27, 3.71)
Cerebral infarction <0.001 0.790 (0.695, 0.885) (0.86, 1.16)
History of myocardial infarction 0.009 0.386 (0.097, 0.675) (0.92, 1.09)
Cerebral edema <0.001 0.322 (0.190, 0.453) (0.96, 1.05)
History of diabetes mellitus 0.028 0.239 (0.026, 0.452) (0.98, 1.03)
Day-8 fever <0.001 0.231 (0.150, 0.311) (0.93, 1.08)
Prior subarachnoid hemorrhage 0.004 0.197 (0.063, 0.332) (0.98, 1.02)
Admission angiographic vasospasm 0.015 0.175 (0.035, 0.315) (0.93, 1.08)
Neurological grade <0.001 0.167 (0.093, 0.242) (0.16, 6.43)
Intraventricular hemorrhage 0.001 0.142 (0.056, 0.229) (0.80, 1.25)
Ruptured aneurysm size 0.001 0.130 (0.053, 0.206) (0.97, 1.03)
History of hypertension 0.009 0.119 (0.030, 0.208) (0.85, 1.18)
Vasospasm day 0.05 0.112 (0.001, 0.225) (0.20, 5.11)
Age <0.001 0.018 (0.015, 0.021) (0.86, 1.17)
Mean arterial pressure 0.012 0.003 (0.001, 0.006) (0.91, 1.10)

VIF: variance inflation factor.