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Table 3 Multivariable analysis of development of NFV resistance at failure

From: Estimating the individualized HIV-1 genetic barrier to resistance using a nelfinavir fitness landscape

Variable

Coefficient (β)

SE

P Value

Odds Ratio

95% CI

Intercept

1.68

1.27

   

log , per unit higher

-0.51

0.56

.36

0.60

0.20 - 1.79

, per additional mutation

-0.61

0.26

.02

0.54

0.32 - 0.91

GSS Other , per unit higher

-0.72

0.17

< .001

0.49

0.35 - 0.67

ΔT, per month more

< 0.001

< 0.001

.14

1.00

0.99 - 1.01

Sub, as B

0.55

0.38

.15

1.73

0.82 - 3.64

Variable

Coefficient ( β )

SE

P Value

Odds Ratio

95% CI

Intercept

3.31

1.44

   

log , per unit higher

-0.67

0.56

.24

0.51

0.17 - 1.56

, per 10 generations more

-0.02

0.005

.008

0.98

0.97 - 0.99

GSS Other , per unit higher

-0.74

0.17

< .001

0.47

0.34 - 0.66

ΔT, per month more

< 0.001

< 0.001

.14

1.00

0.99 - 1.01

Sub, as B

0.41

0.38

.29

1.51

0.70 - 3.23

  1. A multivariable logistic regression model is shown for development of nelfinavir (NFV) resistance at treatment failure starting from the baseline genotype based on the expected number of mutations to NFV resistance () in the upper table and based on the expected number of generations to NFV resistance () in the lower table. Analyses are corrected for duration between baseline and follow-up sequence (ΔT), fitness under NFV treatment (log ), the activity score of the combination excluding NFV (GSS Other ) and the subtype distribution (Sub).