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. 2022 Nov 24;13:1007113. doi: 10.3389/fphar.2022.1007113

TABLE 4.

Cox proportional hazards regression with time-varying analysis assessing the association of additive PK-related genetic variant models with DOACs bleeding risk.

CYP3A4 (rs35599367) HR (95%CI; p-value)
AA vs. AG vs. GG genotypes
 Model 1 0.876 (0.691–1.110); 0.274
 Model 2 0.891 (0.708–1.122); 0.327
CYP3A5 (rs776746) HR (95%CI; p-value)
GG vs. GA vs. AA genotypes
 Model 1 0.960 (0.685–1.347); 0.814
 Model 2 0.943 (0.687–1.294); 0.716
CYP2J2 (rs890293) HR (95%CI; p-value)
 GG vs. GT vs. TT genotypes
 Model 1 1.133 (0.873–1.471); 0.349
 Model 2 1.131 (0.871–1.468); 0.357
ABCG2 (rs2231142) HR (95%CI; p-value)
 CC vs. CA vs. AA genotypes
 Model 1 1.076 (0.882–1.314); 0.469
 Model 2 1.055 (0.863–1.289); 0.602
ABCB1 (rs4148732) HR (95%CI; p-value)
GG vs. GA vs. AA genotypes
 Model 1 1.113 (0.969–1.277); 0.129
 Model 2 1.096 (0.956–1.256); 0.188
ABCB1 C-G-C diplotypes HR (95%CI; p-value)
Homozygous vs. hetero vs. other
 Model 1 0.999 (0.868–1.148); 0.983
 Model 2 1.027 (0.895–1.179); 0.707

Model 1: Unadjusted model. Model 2: Fully adjusted for age, previous bleeding, Elixhauser comorbidities score, previous thromboembolism, smoking, normalized dose, and DOAC. The underlined genotypes were encoded as the risk genotype in the additive genetic model, and thus the HR for each variant was hypothesized to be > 1.