Table 4. The results of the multiple logistic regression model of predictors for GSU and GSU from GS=6.
| Predictors | Predicting any GSU | Predictors | Predicting GSU form GS=6 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95%CI | P | beta-coefficent | OR | 95%CI | P | beta-coefficent | ||
| Primary GS | Obesity (BMI>28) | 2.02 | 0.93-4.40 | 0.077 | 0.70 | ||||
| 3 | 1.00 (Reference) | ||||||||
| 4 | 0.53 | 0.32-0.87 | 0.012 | −0.64 | |||||
| 5 | 0.14 | 0.03-0.62 | 0.010 | −1.98 | PSAD | 9.66 | 2.16-43.17 | 0.003 | 2.27 |
| Secondary GS | |||||||||
| 3 | 1.00 (Reference) | ||||||||
| 4 | 0.30 | 0.19-0.48 | 0.000 | −1.21 | % positive cores | 10.96 | 1.54-78.09 | 0.017 | 2.39 |
| 5 | 0.00 | 0.00-0.00 | 0.998 | −20.66 | |||||
| Obesity (BMI>28) | 1.72 | 1.08-2.74 | 0.023 | 0.54 | Constant | 0.003 | −1.18 | ||
| AUC | 0.753 (0.706-0.800) | AUC | 0.727 (0.647-0.808) | ||||||