Table 3.
Final multiple logistic regression model with phenotypic characteristics that predicted pain class membership
| GMM Class Comparison |
Predictor | Odds Ratio |
Standard Error |
95% CI | Z | p-value |
|---|---|---|---|---|---|---|
| Self-reported race/ethnicity | ||||||
| White versus Black | 0.01 | 0.02 | 0.00, 0.95 | −1.98 | 0.047 | |
| White versus Asian/Pacific Islander | 0.08 | 0.16 | 0.00, 3.40 | −1.31 | 0.189 | |
| White versus Hispanic/mixed/other | 0.23 | 0.32 | 0.01, 3.68 | −1.04 | 0.298 | |
| Pain in the breast prior to surgery | 8.71 | 9.03 | 1.14, 66.48 | 2.09 | 0.037 | |
| Severity of average postoperative pain | 2.02 | 0.35 | 1.43, 2.84 | 4.01 | <0.0001 | |
| Overall model fit: χ2 = 47.38; p <0.0001; R2 = 0. 4006 | ||||||
Abbreviations: CI = confidence interval; GMM = growth mixture model