Table 3.

Correlation Analysis for Percent Change at Week 52 and Baseline Demographics (mITT population)

	Percent Change sCD14	Percent Change oxLDL	Percent Change Lp-PLA2
Age	ρ= −0.07 P= 0.36	ρ= −0.07 P=0.32	ρ= −0.11 P=0.12
Framingham Risk Score	ρ= −0.09 P=0.23	ρ= 0.05 P=0.48	ρ= −0.04 P=0.60
CD4 count	ρ= 0.09 P=0.22	ρ= −0.01 P=0.87	ρ=0.02 P=0.74
Log HIV-1 Viral Load	ρ= 0.04 P=0.54	ρ= 0.06 P=0.43	ρ=0.14 P=0.06
LDL-C	ρ= −0.01 P=0.87	ρ= −0.17 P=0.02	ρ= −0.27 P=0.0002
sCD14	ρ= −0.48 P < 0.0001	ρ= −0.08 P=0.25	ρ= −0.03 P=0.67
oxLDL	ρ= −0.02 P=0.75	ρ= −0.33 P < 0.0001	ρ= −0.03 P=0.66
Lp-PLA2	ρ= −0.04 P=0.56	ρ= 0.03 P=0.65	ρ= −0.27 P=0.0002

Significant P-values are shown in bold. Data are shown for mITT population with biomarker specimens available for Week 52.

Abbreviations: LDL-C, low density lipoprotein cholesterol; sCD14, soluble CD14; oxLDL, oxidized low density lipoprotein, Lp-PLA2, lipoprotein-associated phospholipase A