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. Author manuscript; available in PMC: 2016 Nov 1.
Published in final edited form as: Virology. 2015 Sep 7;485:467–472. doi: 10.1016/j.virol.2015.08.022

Table 2.

Odds Ratios (ORs)a and 95% Confidence Intervals (CIs) from modelsb predicting PML

Possible predictors Univariate
Model		 Multivariate
Model 1		 Multivariate
Model 2		 Multivariate
Model 3
Log2(BKPyV 1), per +1.6 log2 0.54(0.34,0.85) 0.56(0.35,0.89) - 0.75(0.41,1.40)
Log2(BKPyV 4), per +1.4 log2 0.42(0.26,0.69) - 0.40(0.24,0.67) 0.45(0.25,0.83)
Age, per +6.7 years 0.93(0.59,1.49) 0.86(0.53,1.41) 0.87(0.52,1.45) 0.86(0.51,1.43)
CD4 cell count, per +180 cells 0.75(0.52,1.08) 0.78(0.53,1.14) 0.65(0.44,0.97) 0.68(0.45,1.03)
Log2(JCPyV), per +1.6 log2 1.27(0.8,2.01) 1.20(0.73,1.96) 1.38(0.84,2.26) 1.31(0.79,2.18)
a

ORs (95% CIs) were based on 1 standard deviation increase in all predictors in models

b

Logistic regression models using combined data from 0.5 to 2 years before PML diagnosis with general estimating equations to account for repeated measures.