Table 4.
Predictor | Odds Ratio | Standard Error | 95% CI | Z | p-value |
---|---|---|---|---|---|
IL1B rs16944 | 2.98 | 1.215 | 1.336, 6.626 | 2.67 | .008 |
Age | 0.96 | 0.012 | 0.936, 0.984 | −3.17 | .002 |
KPS score | 0.94 | 0.017 | 0.911, 0.978 | −3.21 | .001 |
SCQ score | 1.10 | 0.062 | 0.998, 1.243 | 1.73 | .083 |
Any chemotherapy | 2.26 | 0.655 | 1.284, 3.992 | 2.83 | .005 |
Overall model fit: χ2 = 56.98, p <.0001 | |||||
IL10 rs3024496 | 0.34 | 0.120 | 0.172, 0.682 | −3.05 | .002 |
Age | 0.95 | 0.013 | 0.930, 0.979 | −3.58 | <.001 |
KPS score | 0.95 | 0.017 | 0.916, 0.980 | −3.09 | .002 |
SCQ score | 1.12 | 0.063 | 1.007, 1.255 | 2.08 | .037 |
Any chemotherapy | 2.32 | 0.675 | 1.315, 4.106 | 2.90 | .004 |
Overall model fit: χ2 = 60.96, p <.0001 |
Multiple logistic regression analyses of candidate gene associations with Lower Fatigue versus Higher Fatigue classes (n=301). For each model, the first three principal components identified from the analysis of ancestry informative markers, as well as self-reported race/ethnicity, were retained in all models to adjust for potential confounding due to race/ethnicity (data not shown). For the regression analyses, predictors evaluated in each model included genotype (IL1B rs16944: GG+GA versus AA; IL10 rs3024496: TT+TC versus CC, age (5 years increments), functional status (KPS score in 10 unit increments), self-administered comorbidity questionnaire score, and receipt of chemotherapy within six months after surgery.
Abbreviations: any chemotherapy = receipt of chemotherapy within six months after surgery, CI = confidence interval, IL1B = interleukin 1 beta, KPS = Karnofsky Performance Status, SCQ = Self-administered Comorbidity Questionnaire