Table 1.

Multivariate linear regression analysis of platelet counts and biomarkers of inflammation and cardiovascular risk

BiomarkerRegression coefficient (95% CI), P value 
Total study participants (n = 119)PWH (n = 90)
Coefficient (95% CI) P value Coefficient (95% CI) P value 
D-dimer 0.00 (0.00-0.00) .12 0.00 (0.00-0.00) . 24 
CRP 0.02 (−0.01 to 0.04) .15 0.02 (−0.02 to 0.04) .42 
sE-selectin 0.01 (−0.01 to 0.03) .12 −0.01 (−0.03 to 0.02) .63 
sP-selectin 0.04 (−0.03 to 0.07) .44 0.00 (−0.06 to 0.08) .96 
sVCAM1 −1.60 (−2.5 to −0.66) <.001  −1.90 (−3.2 to −0.58) .005  
FRS −0.02 (−0.03 to 0.00) .041 −0.01 (−0.04 to 0.01) .22 
Paracardial fat volume −0.21 (−0.42 to −0.00) .054 −0.21 (−0.51 to 0.10) .18 
Epicardial fat volume −0.31 (−0.60 to −0.02) .035 −0.30 (−0.70 to 0.10) .14 
Pericardial fat volume§  −0.52 (−0.99 to −0.05) .032 −0.51 (−1.2 to 0.16) .14 
BiomarkerRegression coefficient (95% CI), P value 
Total study participants (n = 119)PWH (n = 90)
Coefficient (95% CI) P value Coefficient (95% CI) P value 
D-dimer 0.00 (0.00-0.00) .12 0.00 (0.00-0.00) . 24 
CRP 0.02 (−0.01 to 0.04) .15 0.02 (−0.02 to 0.04) .42 
sE-selectin 0.01 (−0.01 to 0.03) .12 −0.01 (−0.03 to 0.02) .63 
sP-selectin 0.04 (−0.03 to 0.07) .44 0.00 (−0.06 to 0.08) .96 
sVCAM1 −1.60 (−2.5 to −0.66) <.001  −1.90 (−3.2 to −0.58) .005  
FRS −0.02 (−0.03 to 0.00) .041 −0.01 (−0.04 to 0.01) .22 
Paracardial fat volume −0.21 (−0.42 to −0.00) .054 −0.21 (−0.51 to 0.10) .18 
Epicardial fat volume −0.31 (−0.60 to −0.02) .035 −0.30 (−0.70 to 0.10) .14 
Pericardial fat volume§  −0.52 (−0.99 to −0.05) .032 −0.51 (−1.2 to 0.16) .14 

CRP, C-reactive protein.

Multivariable linear regression analysis adjusting for smoking status (ever vs never), diabetes, and HIV status.

Raw P value was reported.

If raw P <.005, statistical significance holds under Bonferroni-corrected type I error.

§

Pericardial fat volume is a composite of paracardial and epicardial fat volume.

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