Table 1.
Baseline Characteristics for Study Population.
| Variables a | Case (n = 250) | Control (n = 296) | P b |
|---|---|---|---|
| Female, N (%) | 146 (58.4) | 154 (52.0) | 0.74 |
| Age, years | 59.3 ± 0.8 | 52.1 ± 1.0 | <0.001 |
| Hypertension, N (%) | 93 (37.2) | 88 (29.7) | 0.865 |
| Diabetes mellitus, N (%) | 17 (6.8) | 37 (12.5) | 0.001 |
| Hyperlipidemia, N (%) | 29 (11.6) | 27 (9.1) | 0.476 |
| Cigarette smoking, N (%) | 26 (10.4) | 37 (12.5) | 0.615 |
| Principal components, mean c | |||
| Principal component 1 | 0.0014 | −0.0012 | 0.169 |
| Principal component 2 | −0.0002 | 0.0001 | 0.656 |
| Principal component 3 | −0.0010 | 0.0008 | 0.039 |
| Principal component 4 | −0.0011 | 0.0009 | 0.031 |
| Rupture status, N (%) | |||
| UIA | 99 (39.6) | - | - |
| SAH | 151 (60.4) | - | - |
SAH, subarachnoid hemorrhage; UIA, unruptured intracranial aneurysm. a Data are shown as the number of subjects (percentage) for discrete and categorical variables and mean ± standard error. b P values were estimated in the multivariate logistic regression model. c Principal components were estimated by performing the principal component analysis with four clusters.