Table 2.
Immune Cell Density | Univariate Model | Adjusted Modela | ||||
---|---|---|---|---|---|---|
CD68+ macrophages | ||||||
% of obstruction | β | 95% CI | P Value | β | 95% CI | P Value |
PvATp (10−5cells/μm2)b | 2.19 | 0.88 to 3.51 | 0.001 | 2.06 | 0.71 to 3.41 | 0.003 |
Difference: PvATp and PvATd (10−5cells/μm2)b | 2.30 | 0.57 to 4.03 | 0.01 | 2.85 | 1.32 to 4.39 | <0.001 |
Unstable plaque composition | OR | 95% CI | P Value | OR | 95% CI | P Value |
PvAT (10−5cells/μm2)c | 1.12 | 1.02 to 1.25 | 0.02 | 1.15 | 1.01 to 1.31 | 0.03 |
Difference: PvATp and PvATd (10−5cells/μm2)c | 1.42 | 1.14 to 1.78 | 0.002 | 1.77 | 1.28 to 2.47 | 0.001 |
CD3+ T lymphocytes | ||||||
% of obstruction | β | 95% CI | P Value | β | 95% CI | P Value |
PvATp (10−5cells/μm2)b | 3.12 | −1.17 to 7.41 | 0.15 | 3.42 | −0.85 to 7.69 | 0.11 |
Difference: PvATp and PvATd (10−5cells/μm2)b | 1.78 | −2.18 to 5.74 | 0.37 | 2.15 | −1.83 to 6.13 | 0.28 |
Unstable plaque composition | OR | 95% CI | P Value | OR | 95% CI | P Value |
PvATp (10−5cells/μm2)c | 1.31 | 0.92 to 1.87 | 0.13 | 1.37 | 0.94 to 2.00 | 0.09 |
Difference: PvATp and PvATd (10−5cells/μm2)c | 1.49 | 0.85 to 2.59 | 0.15 | 1.55 | 0.77 to 3.11 | 0.21 |
CD20+ B lymphocytes | ||||||
% of obstruction | β | 95% CI | P Value | β | 95% CI | P Value |
PvAT (10−5cells/μm2)b | 40.10 | 7.02 to 73.19 | 0.01 | 36.38 | 1.83 to 70.93 | 0.03 |
Difference: PvATp and PvATd (10−5cells/μm2)b | 37.66 | 3.13 to 72.18 | 0.03 | 39.49 | 1.89 to 77.09 | 0.04 |
Unstable plaque composition | OR | 95% CI | P Value | OR | 95% CI | P Value |
PvAT (10−5cells/μm2)c | 26.91 | 1.38 to 523.65 | 0.03 | 23.44 | 0.67 to 812.92 | 0.08 |
Difference: PvATp and PvATd (10−5cells/μm2)c | 13.39 | 0.54 to 332.03 | 0.11 | 8.56 | 0.16 to 447.22 | 0.28 |
OR indicates odds ratio; PvATd, distal perivascular adipose tissue; PvATp, periplaque perivascular adipose tissue.
Adjusted for age, hypertension, diabetes mellitus, body mass index, smoking, alcohol use, and physical inactivity.
Linear regression with robust SEs to account for repeated measures in the same individual through cluster adjustment.
Logistic regression with robust SEs to account for repeated measures in the same individual through cluster adjustment.