Table 4.
Multivariable logistic regression analysis of variables for establishing the recurrence prediction model.
| B | SE | Wald | Df | Sig | Exp (B) | 95% CI for Exp (B) | ||
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Genes | ||||||||
| TTN | -1.143 | .484 | 5.579 | 1 | .018 | .319 | .123 | .823 |
| KNL1 | -2.014 | .920 | 4.788 | 1 | .029 | .133 | .022 | .811 |
| NRXN1 | -1.260 | .698 | 3.253 | 1 | .071 | .284 | .072 | 1.115 |
| CCDC169-SOHLH2 | -.517 | .913 | .321 | 1 | .571 | .596 | .100 | 3.569 |
| C6 | -2.178 | .767 | 8.059 | 1 | .005 | .113 | .025 | .510 |
| Clinical characteristics | ||||||||
| Grade 1 | -12.896 | 2383.604 | .000 | 1 | .996 | 2.508E-6 | .000 | .c |
| Grade 2 | -13.936 | 2383.604 | .000 | 1 | .995 | 8.861E-7 | .000 | .c |
| Grade 3 | -13.767 | 2383.604 | .000 | 1 | .995 | 1.050E-6 | .000 | .c |
| Stage I | .471 | 1.088 | .187 | 1 | .665 | 1.601 | .190 | 13.511 |
| Stage II | .884 | 1.003 | .776 | 1 | .378 | 2.420 | .339 | 17.294 |
| Stage III | .294 | .921 | .102 | 1 | .750 | 1.342 | .221 | 8.160 |
| Age 30-50 | -16.884 | .778 | 470.483 | 1 | .000 | 4.647E-8 | 1.011E-8 | 2.137E-7 |
| 50-70 | -16.057 | .500 | 1029.232 | 1 | .000 | 1.064E-7 | 3.988E-8 | 2.836E-7 |
| 70-90 | -15.828 | .000 | . | 1 | . | 1.336E-7 | 1.336E-7 | 1.336E-7 |
| White | -.659 | 1.063 | .384 | 1 | .535 | .518 | .064 | 4.154 |
| ASINA | .821 | 1.195 | .472 | 1 | .492 | 2.273 | .218 | 23.646 |
| Black or African American | -19.562 | 6066.729 | .000 | 1 | .997 | 3.195E-9 | .000 | .c |
| Male | -.961 | .551 | 3.046 | 1 | .081 | .383 | .130 | 1.125 |
| History | 1.284 | .759 | 2.858 | 1 | .091 | 3.610 | .815 | 15.997 |