Table 3.

Cox regression analysis for inhibitor development by NNA presence

Adjustment variableAll inhibitorsHigh-titer inhibitor
HR95% CIHR95% CI
Crude unadjusted model 1.83 0.84-3.99 2.74 1.23-6.12 
Age at screening 1.91 0.85-4.26 2.75 1.20-6.32 
Mutation 2.33 1.05-5.15 3.53 1.56-8.00 
FVIII antigen level 1.73 0.79-3.78 2.95 1.32-6.60 
Countries of enrollment 2.36 1.03-5.42 3.91 1.62-9.44 
Familial history of inhibitor 1.96 0.89-4.29 3.03 1.35-6.81 
Treatment arm 1.73 0.79-3.78 2.61 1.17-5.84 
Exposure to blood components 1.75 0.80-3.86 2.75 1.22-6.22 
Mutation, countries of enrollment 3.62 1.49-9.42 5.76 2.17-15.26 
Adjustment variableAll inhibitorsHigh-titer inhibitor
HR95% CIHR95% CI
Crude unadjusted model 1.83 0.84-3.99 2.74 1.23-6.12 
Age at screening 1.91 0.85-4.26 2.75 1.20-6.32 
Mutation 2.33 1.05-5.15 3.53 1.56-8.00 
FVIII antigen level 1.73 0.79-3.78 2.95 1.32-6.60 
Countries of enrollment 2.36 1.03-5.42 3.91 1.62-9.44 
Familial history of inhibitor 1.96 0.89-4.29 3.03 1.35-6.81 
Treatment arm 1.73 0.79-3.78 2.61 1.17-5.84 
Exposure to blood components 1.75 0.80-3.86 2.75 1.22-6.22 
Mutation, countries of enrollment 3.62 1.49-9.42 5.76 2.17-15.26 

HR compares the risk of inhibitor development among those with NNA at screening vs those without. Adjustments in multivariable Cox models were each performed individually.

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