Table 3.
Regression analysis with all variables in the model
| Dependent: CVST | Absent | Present | OR (univariable) | OR (multivariable) | |
|---|---|---|---|---|---|
| Gender | Male | 19 (52.8) | 17 (47.2) | – | – |
| Female | 15 (31.9) | 32 (68.1) | 2.38 (0.98–5.95, P = 0.058) | 2.02 (0.73–5.76, P = 0.180) | |
| Headache | Absent | 16 (66.7) | 8 (33.3) | – | – |
| Present | 18 (30.5) | 41 (69.5) | 4.56 (1.70–13.11, P = 0.003) | 7.47 (2.30–30.04, P = 0.002) | |
| D_Dimer | < 792 | 27 (55.1) | 22 (44.9) | – | – |
| ≥ 792 | 7 (20.6) | 27 (79.4) | 4.73 (1.80–13.71, P = 0.002) | 7.15 (2.29–27.83, P = 0.002) | |
χ2(3) = 24.74, P = < 0.001 Pseudo-R2 = 0.22, Number in dataframe = 83, Number in model = 83, Missing = 0, AIC = 95.6, C-statistic = 0.809, H&L = Chi-sq(8) NaN (P = NaN)