Table 3

Multivariate analysis: independent predictors of therapeutic warfarin dose at day 3

Entry into modelVariable% Change in therapeutic warfarin dose (95% CI)*R2 after entry, %P in final model
— Intercept — — < .001 
INR3 −46.5 (−33.3 to −57.1) 34.4 < .001 
1st warfarin dose, per mg +7.1 (+4.0 to +10.4) 54.7 < .001 
CYP2C9*3, per allele −38.1(−29.3 to −45.7) 69.8 < .001 
2nd warfarin dose, per mg +3.9 (+0.0 to +8.0) 73.6 .051 
CYP2C9*2, per allele −17.4 (−8.3 to −25.6) 75.6 .001 
EBL × INR3 +44.9 (+16.6 to +80.2) 78.1 .001 
Smokes +20.1 (+6.0 to +36.2) 79.9 .005 
VKORC1 haplotype A, per copy −10.7 (−2.0 to −18.6) 81.1 .018 
Target INR +14.6 (−7.9 to +42.5) 81.5 .218 
Entry into modelVariable% Change in therapeutic warfarin dose (95% CI)*R2 after entry, %P in final model
— Intercept — — < .001 
INR3 −46.5 (−33.3 to −57.1) 34.4 < .001 
1st warfarin dose, per mg +7.1 (+4.0 to +10.4) 54.7 < .001 
CYP2C9*3, per allele −38.1(−29.3 to −45.7) 69.8 < .001 
2nd warfarin dose, per mg +3.9 (+0.0 to +8.0) 73.6 .051 
CYP2C9*2, per allele −17.4 (−8.3 to −25.6) 75.6 .001 
EBL × INR3 +44.9 (+16.6 to +80.2) 78.1 .001 
Smokes +20.1 (+6.0 to +36.2) 79.9 .005 
VKORC1 haplotype A, per copy −10.7 (−2.0 to −18.6) 81.1 .018 
Target INR +14.6 (−7.9 to +42.5) 81.5 .218 

The optimal pharmacogenetics algorithm that estimated therapeutic dose (mg/day) 3 days after surgery was as follows: Exp[1.0138 − 2.5047 × ln(INR3) + 0.0690 × 1st warfarin dose + 0.0385 × 2nd warfarin dose + 0.2474 x ln(EBL) × ln(INR3) − 0.1912 × CYP2C9*2 − 0.4793 × CYP2C9*3 + 0.1835 × Smokes − 0.1132 × VKORC1+ 0.2724 × Target INR], where ln(EBL) × ln(INR3) is the interaction between logarithm (EBL) and logarithm (INR3), and VKORC1 is the number of A haplotypes.

— indicates not available.

*

Percent change (95% confidence interval) was calculated for each 0.25-point increase in log(INR3) and 1.5-point increase in the interaction of ln(EBL) and ln(INR3).

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