Table 3.

Regression equation for modeling warfarin daily dose requirements based on age, genotype, and height


Model, x variables

Regression equation

P

R2 for model, %
Age   √D = 2.85 – 0.0137 (Age)   .001   16.7  
CYP2C9 genotype   √D = 2.01 – 0.252 (CYP*2) – 0.454 (CYP*3)   .001   17.5  
VKORC1 genotype   √D = 2.41 – 0.297 (VKORC1)   .001   15.0  
Height   √D = 2.12 + 0.0237 (Height)   .001   16.0  
Age, height, CYP2C9 genotype, VKORC1 genotype
 
√Dose = 0.628 – 0.0135 (Age) – 0.240 (CYP*2) – 0.370 (CYP*3) – 0.241 (VKOR) + 0.0162 (Height)
 
.001
 
54.2
 

Model, x variables

Regression equation

P

R2 for model, %
Age   √D = 2.85 – 0.0137 (Age)   .001   16.7  
CYP2C9 genotype   √D = 2.01 – 0.252 (CYP*2) – 0.454 (CYP*3)   .001   17.5  
VKORC1 genotype   √D = 2.41 – 0.297 (VKORC1)   .001   15.0  
Height   √D = 2.12 + 0.0237 (Height)   .001   16.0  
Age, height, CYP2C9 genotype, VKORC1 genotype
 
√Dose = 0.628 – 0.0135 (Age) – 0.240 (CYP*2) – 0.370 (CYP*3) – 0.241 (VKOR) + 0.0162 (Height)
 
.001
 
54.2
 

Age: input age in years; CYP2C9 genotype: input 0, 1, or 2 for the number of *2 and *3 alleles within the patient's genotype; VKORC1 genotype: input 1 for GG, 2 for GA, and 3 for AA; height: input height in centimeters.

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