Table 4. Biomarkers for detecting colorectal cancer selected by the multiple logistic regression model.
Biomarkers | Coefficient | Standard error | p value | Lower 95% CI | Upper 95% CI |
(Intercept) | −8.32 | 1.539 | <0.0001 | −11.71 | −5.621 |
2-hydroxy-butyrate | 286.59 | 71.90 | <0.0001 | 155.0 | 440.1 |
Aspartic acid | 33.87 | 14.29 | 0.0178 | 7.390 | 63.85 |
Kynurenine | 1634.96 | 569.3 | 0.0041 | 559.1 | 2.830E+03 |
Cystamine | 78.78 | 26.82 | 0.0033 | 31.53 | 137.3 |
The 4 metabolites selected by multiple logistic regression analysis using the stepwise variable selection method. The results of the analysis are shown in Table 4. The 95% confidence interval (95% CI) for the AUC (0.9097) obtained from ROC analysis ranged from 0.8438 to 0.9495.