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. 2022 Jul 22;13:945526. doi: 10.3389/fneur.2022.945526

Table 3.

Three models of multivariate logistic regression analysis for risk factors associated with aneurysmal symptoms.

Multivariate analysis Parameters OR 95% CI P-value
Cross-section model Male 7.352 1.113–48.548 0.038*
Age 0.914 0.848–0.984 0.018*
Mural thrombus 2.911 0.559–15.161 0.204
IFAs type 2.558 0.900–7.271 0.078
CRstalk−cross 2.346 1.006–5.472 0.048*
Long-axis section model Male 7.932 1.100–57.218 0.040*
Age 0.900 0.830–0.975 0.010*
Mural thrombus 1.821 0.286–11.604 0.526
IFAs type 1.527 0.416–5.607 0.524
CRstalk−long 2.536 1.018–6.323 0.046*
L max 1.138 1.021–1.269 0.019*
Combination model Male 9.631 1.298–71.437 0.027*
Age 0.900 0.830–0.976 0.011*
IFAs type 1.544 0.426–5.598 0.509
Mural thrombus 1.312 0.191–9.002 0.783
CRstalk−cross, per SD 2.995 1.115–8.042 0.030*
CRstalk−long, per SD 1.054 0.206–5.396 0.949
L max 1.136 1.020–1.264 0.020*

CRstalk−cross, the aneurysm-to-pituitary stalk ratio in the cross-section; CRstalk−long, the aneurysm-to-pituitary stalk ratio in the long-axis; OR, odds ratio.

*

P < 0.05.