Identification of predictive variables for MTX C24h, MTX AUC0-48h, and MTX clearance by regression analysis
| . | . | MTX AUC0-48h . | MTX C24h . | MTX clearance . | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Included variables . | B . | (95% CI) . | P . | R2 (%) . | B . | (95% CI) . | P . | R2 (%) . | B . | (95% CI) . | P . | R2 (%) . | |
| SLCO1B1 | rs4149056 | 146.9 | (94.4, 199.4) | 6.8 × 10−8 | 5.4 | 12.6 | (7.9, 17.4) | 3.2 × 10−7 | 4.9 | −30.1 | (−46.6, −13.7) | 3.5 × 10−4 | 2.2 |
| SLCO1B1 | rs2306283 | −56.7 | (−98.3, −15.1) | 7.7 × 10−3 | 1.6 | −5.3 | (-9.1, −1.6) | 5.5 × 10−3 | 1.9 | 14.8 | (1.8, 27.8) | .026 | 1.2 |
| Age | — | — | — | — | — | — | — | — | −2.8 | (−4.8, −0.8) | 7.1 × 10−3 | 1.7 | |
| . | . | MTX AUC0-48h . | MTX C24h . | MTX clearance . | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Included variables . | B . | (95% CI) . | P . | R2 (%) . | B . | (95% CI) . | P . | R2 (%) . | B . | (95% CI) . | P . | R2 (%) . | |
| SLCO1B1 | rs4149056 | 146.9 | (94.4, 199.4) | 6.8 × 10−8 | 5.4 | 12.6 | (7.9, 17.4) | 3.2 × 10−7 | 4.9 | −30.1 | (−46.6, −13.7) | 3.5 × 10−4 | 2.2 |
| SLCO1B1 | rs2306283 | −56.7 | (−98.3, −15.1) | 7.7 × 10−3 | 1.6 | −5.3 | (-9.1, −1.6) | 5.5 × 10−3 | 1.9 | 14.8 | (1.8, 27.8) | .026 | 1.2 |
| Age | — | — | — | — | — | — | — | — | −2.8 | (−4.8, −0.8) | 7.1 × 10−3 | 1.7 | |
Age, sex, WBC count, MRD class, and SLCO1B1 rs4149056, SLCO1B1 rs2306283, SLC19A1 rs1051266, ABCC2 rs717620, MTHFR rs1801131, MTHFR rs1801133, and TYMS rs34743033 genotypes were considered as independent variables in the regression analyses. Because SLCO1B1 rs11045879 was in LD with SLCO1B1 rs4149056, SLCO1B1 rs11045879 was not included in the regression models for reasons of collinearity. This table shows significant predictor variables included in the stepwise regression models. Age was a significant predictor variable of MTX clearance only.
B, regression coefficient; P, nominal P value of the regression coefficient; R2, proportion of variation in the dependent variable that is explained by the model.