Table 3.
Multivariable linear regression with week 0 to 48 change in log-common carotid artery intima media thickness as the outcome.
Variable | Model 1 | Model 2 | Model 3 | Model 1+2+3 | Model 1+2+3a | Model 4 | Model 1+4 | Model 1+2+3+4 | Model 1+2+3+4a |
---|---|---|---|---|---|---|---|---|---|
Week 0 to 24 change in log-oxLDL | 0.025 (0.012); P = 0.03 | 0.03 (0.012); P = 0.02 | 0.028 (0.012); P = 0.02 | 0.023 (0.012); P = 0.05 | 0.026 (0.012); P = 0.03 | 0.027 (0.012); P = 0.03 | |||
Week 0 to 24 change in log-sCD14 | 0.035 (0.017); P = 0.04 | 0.03 (0.016); P = 0.07 | 0.028 (0.016); P = 0.08 | 0.022 (0.016); P = 0.16 | 0.026 (0.012); P = 0.13 | ||||
Week 0 to 24 change in log-%CD14dimCD16+ | −0.001 (0.011); P = 0.9 | −0.016 (0.01); P = 0.12 | −0.016 (0.01); P = 0.11 | −0.014 (0.01); P = 0.17 | −0.016 (0.01); P = 0.12 | ||||
Group | −0.02 (0.012); P = 0.09 | −0.011 (0.011); P = 0.35 | −0.01 (0.012); P = 0.38 | −0.008 (0.012); P = 0.52 |
Values shown are parameter estimate (standard error). Each model is adjusted for baseline CCA IMT. HOMA-IR, hepatitis C status, nadir CD4+ cell count and protease inhibitor use.
These models are further adjusted for age, sex, race, smoking, BMI, SBP.