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Table 2 Multivariate model analysis of SCV with admission predictors

From: Can admission lipoprotein-associated phospholipase A2 predict the symptomatic cerebral vasospasm following aneurysmal subarachnoid hemorrhage?

Predictors*Univariate analysisMultivariate analysis
SCV (n = 12)No SCV (n = 116)OR (95% CI)P valueOR (95% CI)P value
WFNS grade ≥ 211 (91.67%)61 (52.59%)9.92 (1.24, 79.33)0.031  
Modified Fisher grade ≥ 310 (83.33%)43 (37.07%)8.49 (1.78, 40.57)0.00710.08 (2.04, 49.86)0.005
Diabetes mellitus3 (25.00%)13 (11.21%)2.64 (0.63, 11.02)0.183  
Aneurysm size ≥ 7.5 mm4 (33.33%)46 (39.66%)0.76 (0.22, 2.67)0.670  
Lp-PLA2 > 169.3 μg/L10 (83.33%)56 (48.28%)5.36 (1.12, 25.53)0.0356.66 (1.33, 33.30)0.021
  1. *Predictors include all admission variables in Table 1 that have P < 0.25
  2. The cut-off point was calculated on the basis of ROC curve analysis
  3. All variables having P < 0.05 from univariate analysis were included in multivariate analysis. Backward stepwise regression methods were performed to create the final model, whereby the least nonsignificant variable was removed from the model one at a time, until all remaining variables had P < 0.05