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. 2016 Jun 29;11(6):e0158169. doi: 10.1371/journal.pone.0158169

Table 2. Model 2—Multivariate regression results showing significant associations of plasma biomarker with HIV clinical parameters, CVD risk age, gender, ethnicity and smoking after adjusting for CXCL10, sCD163 and sCD14.

Biomarker CXCL10 sCD163 sCD14
Variable β std error p β std error p β std error p
Age at 2010 - - - 0.002 0.001 0.03 0.001 0.0006 0.08
Gender - - - - - - 0.031 0.018 0.08
Ethnicity -0.15 0.046 0.001 0.107 0.042 0.012 -0.058 0.022 0.009
Gender:Ethnicity -0.224 0.063 0.0004 - - - - - -
Smoking - - - - - - 0.043 0.015 0.004
Residual viraemia - - - 0.058 0.026 0.025 - - -
VL5 0.28 0.058 <0.0001 - - - 0.07 0.023 0.002
SQR CD4:8 -0.202 0.080 0.012 - - - - - -
SQR CD4 -0.01 0.003 0.0005 - - - -0.002 0.001 0.07
NRTI -0.156 0.046 0.0007 - - - - - -
NNRTI - - - - - - 0.052 0.018 0.004
PI - - - - - - 0.041 0.018 0.026
Integrase - - - - - - -0.078 0.037 0.037
HDL - - - -0.04 0.023 0.09 - - -
BMI - - - 0.004 0.002 0.017 - - -
Framingham score - - - 0.05 0.025 0.049 - - -
CXCL10 - - - 0.18 0.026 <0.0001 -0.023 0.022 0.3
sCD163 0.51 0.079 <0.0001 - - - 0.13 0.039 0.0009
sCD14 -0.06 0.096 0.53 0.16 0.056 0.003 - - -

“-“p = >0.01; std = standard error.