Table 2.
Regression models for individual markers
Response | Factor | Estimate | 95% CI | R2 |
---|---|---|---|---|
Log(ROS) | Dose (Gy) | 0.011 | (0.001, 0.021) | 0.081 |
Gender | 0.033 | (0.013, 0.053) | ||
Age (10 yr) | 0.020 | (0.012, 0.029) | ||
Smoking | 0.041 | (0.018, 0.063) | ||
BMI | −0.001 | (−0.003, 0.002) | ||
Log(IL-6) | Dose (Gy) | 0.047 | (0.021, 0.072) | 0.174 |
Gender | −0.028 | (−0.080, 0.024) | ||
Age (10 yr) | 0.101 | (0.078, 0.124) | ||
Smoking | 0.087 | (0.029, 0.145) | ||
BMI | 0.006 | (−0.001, 0.013) | ||
Log(TNF-α) | Dose (Gy) | 0.031 | (0.004, 0.057) | 0.083 |
Gender | 0.063 | (0.009, 0.116) | ||
Age (10 yr) | 0.062 | (0.039, 0.086) | ||
Smoking | 0.011 | (−0.049, 0.071) | ||
BMI | 0.005 | (−0.002, 0.012) | ||
Log(CRP) | Dose (Gy) | 0.111 | (0.050, 0.173) | 0.094 |
Gender | 0.018 | (−0.108, 0.144) | ||
Age (10 yr) | 0.103 | (0.048, 0.159) | ||
Smoking | 0.082 | (−0.059, 0.223) | ||
BMI | 0.043 | (0.026, 0.061) | ||
Log(ESR) | Dose (Gy) | 0.065 | (0.037, 0.093) | 0.248 |
Gender | 0.235 | (0.178, 0.291) | ||
Age (10 yr) | 0.069 | (0.044, 0.094) | ||
Smoking | −0.026 | (−0.090, 0.037) | ||
BMI | −0.005 | (−0.013, 0.003) | ||
Log(IL-4) | Dose (Gy) | −0.018 | (−0.061, 0.026) | 0.030 |
Gender | −0.063 | (−0.151, 0.026) | ||
Age (10 yr) | 0.057 | (0.019, 0.096) | ||
Smoking | v0.066 | (−0.165, 0.032) | ||
BMI | 0.005 | (−0.007, 0.017) | ||
Log (IL-10) | Dose (Gy) | 0.025 | (0.003, 0.048) | 0.048 |
Gender | −0.039 | (−0.085, 0.007) | ||
Age (10 yr) | 0.035 | (0.015, 0.056) | ||
Smoking | 0.016 | (−0.035, 0.067) | ||
BMI | 0.007 | (0.000, 0.013) | ||
Log(Igs) | Dose (Gy) | 0.015 | (0.004, 0.025) | 0.056 |
Gender | 0.021 | (−0.001, 0.042) | ||
Age (10 yr) | 0.012 | (0.002, 0.021) | ||
Smoking | −0.019 | (−0.042, 0.005) | ||
BMI | −0.001 | (−0.004, 0.002) |