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. 2022 Feb 5;15(4):1063–1073. doi: 10.1111/cts.13230

TABLE 2.

Association between metoprolol concentrations and CYP2D6 genotype‐inferred phenotypes

Effect Model 1 Model 2 Model 3 Model 4 Model 5
Estimate (SE) p value Estimate (SE) p value Estimate (SE) p value Estimate (SE) p value Estimate (SE) p value
CYP2D6 inferred phenotype −0.506 (0.062) 1.4 × 10−15 −0.511 (0.061) 3.0 × 10−16 −0.632 (0.051) 7.0 × 10−33 −0.634 (0.051) 1.7 × 10−33 −0.6306 (0.0503) 1.5 × 10−33
Age 0.017 (0.005) 0.0005 0.015 (0.004) 0.0001 0.012 (0.004) 0.0025 0.0121 (0.0040) 0.0024
Female sex 0.398 (0.094) 2.3 × 10−5 0.392 (0.077) 4.6 × 10−7 0.298 (0.081) 0.0002 0.2855 (0.0803) 0.00040
Metoprolol dose 0.013 (0.001) 7.7 × 10−85 0.013 (0.001) 1.2 × 10−87 0.0133 (0.0006) 5.5 × 10−89
Weight −0.008 (0.002) 0.0002 −0.0080 (0.0022) 0.0002
CYP2D6 inhibitors 0.3851 (0.0978) 0.00009

Model 1: crude model; model 2: model adjusted for age and sex; model 3: model adjusted for age, sex, and metoprolol dose; model 4: model adjusted for age, sex, metoprolol dose, and weight; model 5: model adjusted for age, sex, metoprolol dose, weight, and CYP2D6 inhibitors. Intercepts for model 1: 4.821, model 2: 4.012, model 3: 3.191, model 4: 4.003, and model 5: 3.670.

Abbreviation: SE, standard error.