Table 2.
Demonstrates the detection ratio in each subgroup. Logistic regression analysis demonstrates the significant influence of seizure frequency on the detection ratio
| variable | subgroup | number of patients | detection ratio |
|---|---|---|---|
| gender | male | 152 | 57.9 |
| female | 99 | 56.6 | |
| use of anti-seizure medication | subgroup M0 | 40 | 67.5 |
| subgroup M1 | 93 | 49.5 | |
| subgroup M2 | 118 | 60.2 | |
| interval time# | ≤ 24 h | 82 | 73.2 |
| 24 h-7d | 74 | 54.1 | |
| > 7d | 95 | 46.3 | |
| seizure frequency** | subgroup F1 | 62 | 85.5 |
| subgroup F2 | 43 | 72.1 | |
| subgroup F3 | 92 | 46.7 | |
| subgroup F4 | 54 | 31.5 |
**P < 0.001. The differences in detection ratio among the various interval time subgroups are significant by the chi-square test (#P = 0.001)