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Table 3 Risk factors associated with carotid intima media thickness (cIMT) using univariable and multivariable models

From: The CD14 C-260T single nucleotide polymorphism (SNP) modulates monocyte/macrophage activation in treated HIV-infected individuals

Predictors

Co-efficient (95% confidence interval)

p-value

Univariable model

  

Age, years

0.007 (0.004, 0.011)

<0.001*

Body mass index, kg/m2

0.006 (-0.005, 0.017)

0.273

Total cholesterol, mmol/L

0.015 (-0.021, 0.051)

0.415

Triglyceride, mmol/L

0.003 (-0.029, 0.029)

0.985

HDL, mmol/L

-0.001 (-0.105, 0.103)

0.984

LDL, mmol/L

0.019 (-0.022, 0.060)

0.369

Fasting glucose, mmol/L

-0.017 (-0.053, 0.020)

0.366

Framingham score, %

0.011 (0.006, 0.016)

<0.001

Baseline CD4 T-cell counts, per 100 cells/μl

-0.011 (-0.044, 0.022)

0.527

Log baseline HIV RNA

-0.006 (-0.028, 0.016)

0.585

Log current CD4 T-cell counts

0.043 (-0.016, 0.104)

0.151

Log sCD14

0.020 (-0.083, 0.123)

0.700

Log sCD163

-0.054 (-0.135, 0.027)

0.190

Log hsCRP

0.0005 (-0.025, 0.026)

0.970

CD14 C-260T genotype; CC/CT vs TT

-0.013 (-0.099, 0.071)

0.758

Multivariable model

  

Framingham score, %

0.009 (0.004, 0.014)

<0.001

Log current CD4 T-cell counts

0.038 (-0.033, 0.108)

0.289

Log sCD163

-0.084 (-0.182, 0.013)

0.087

  1. *Age was omitted from the multivariable model given that it is one of the components used to derive the Framingham risk score.