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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 analysis

Multivariate analysis‡

SCV (n = 12)

No SCV (n = 116)

OR (95% CI)

P value

OR (95% CI)

P value

WFNS grade ≥ 2†

11 (91.67%)

61 (52.59%)

9.92 (1.24, 79.33)

0.031

  

Modified Fisher grade ≥ 3†

10 (83.33%)

43 (37.07%)

8.49 (1.78, 40.57)

0.007

10.08 (2.04, 49.86)

0.005

Diabetes mellitus

3 (25.00%)

13 (11.21%)

2.64 (0.63, 11.02)

0.183

  

Aneurysm size ≥ 7.5 mm†

4 (33.33%)

46 (39.66%)

0.76 (0.22, 2.67)

0.670

  

Lp-PLA2 > 169.3 μg/L†

10 (83.33%)

56 (48.28%)

5.36 (1.12, 25.53)

0.035

6.66 (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
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Chinese Neurosurgical Journal

ISSN: 2057-4967

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