Table 4.
Binary Logistic Regression with Backward Stepwise Selection of Risk Factors for Postoperative Chronic Pain Following Robot-Assisted Hysterectomy
| Model 1 Nagelkerke R2 0.419 | ||
|---|---|---|
| Variable | OR (95% CI)a | p-Value |
| Preoperative pelvic pain | 4.24 (3.34–5.14) | 0.002 |
| Acute postoperative pain | 1.20 (1.00–1.40) | 0.067 |
| Preoperative pain elsewhere | 2.66 (1.52–3.80) | 0.092 |
| Age | 0.96 (0.88–1.04) | 0.351 |
| Severity of cancer | 1.97 (0.97–2.97) | 0.182 |
| Operating time | 1.00 (0.98–1.02) | 0.896 |
| Blood loss | 1.01 (0.99–1.03) | 0.290 |
| Education | 1.41 (1.06–1.76) | 0.053 |
| Employment status | 0.94 (0.63–1.25) | 0.695 |
| Model 2 Nagelkerke R2 0.382 | ||
|---|---|---|
| Variable | OR (95% CI)a | p-Value |
| Preoperative pelvic pain |
4.99 (4.15–5.83) |
0.000 |
| Acute postoperative pain |
1.27 (1.09–1.45) |
0.009 |
| Age |
0.94 (0.88–1.00) |
0.056 |
| Education | 1.34 (1.01–1.67) | 0.074 |
a
Data are displayed as OR (95% CI).
OR, odds ratio; CI, confidence interval.