Table 5

Logistic regression: relationship between subject and treatment variables and the outcome of ITI

Univariate analysis
Subject variable P 
    Ethnicity (white/nonwhite) .71 
    Age at randomization (ITI) .83 
    Peak historical inhibitor titer .026 
    Peak titer on ITI .002 
    Peak titer on ITI ≤ 250 versus > 250 BU .0002 
    Time to titer of < 10 BU pre-ITI .40 
    Starting inhibitor titer .98 
Treatment variable  
    Randomized treatment arm .82 
    Protocol dose compliance .35 
    Product type .58 
    Total hospital in-patient days .088 
    CVAD in place .58 
    CVAD infection .83 
Multivariate analysis 
    Peak inhibitor titer on ITI .002 
Univariate analysis
Subject variable P 
    Ethnicity (white/nonwhite) .71 
    Age at randomization (ITI) .83 
    Peak historical inhibitor titer .026 
    Peak titer on ITI .002 
    Peak titer on ITI ≤ 250 versus > 250 BU .0002 
    Time to titer of < 10 BU pre-ITI .40 
    Starting inhibitor titer .98 
Treatment variable  
    Randomized treatment arm .82 
    Protocol dose compliance .35 
    Product type .58 
    Total hospital in-patient days .088 
    CVAD in place .58 
    CVAD infection .83 
Multivariate analysis 
    Peak inhibitor titer on ITI .002 

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