Table 3.
Logistic regression models evaluating the relationship between metabolic features and recurrence .
Exposure | Non-adjusted | Model I (OR, 95%CI) P | Model II (OR, 95%CI) P |
---|---|---|---|
IR | |||
No | 1.0 | 1.0 | 1.0 |
Yes | 9.5 (3.3, 27.0) <0.001 | 13.3 (4.0, 43.9) <0.001 | 12.6 (3.7, 43.3) <0.001 |
MetS | |||
No | 1.0 | 1.0 | 1.0 |
Yes | 4.9 (1.5, 15.5) 0.008 | 5.5 (1.5, 19.9) 0.009 | 5.8 (1.5, 22.7) 0.012 |
IR and MetS | |||
IR- and MetS- | 1.0 | 1.0 | 1.0 |
IR+ or MetS+ | 7.2 (2.4,21.1) <0.001 | 16.1 (3.4,76.1) <0.001 | 19.1 (3.2, 115.4) <0.001 |
IR+ and MetS+ | 21.0 (4.8.92.7) <0.001 | 29.6 (17.5, 388.0) <0.001 | 45.6 (21.5,595.2)<0.001 |
Non-adjusted model adjusted model for none; Model I adjusted for: age, BMI; Model II adjusted for: age, BMI; IR; MetS; histological type; maintenance treatment.
IR, insulin resistance; MetS, metabolic syndrome; OR, odds ratio; CI, confidence interval.