Cardiovascular markers (regression outcome)
Inflammation biomarkers (log-transformed regression predictor) Isoprostane-to-Creatinine ratio Augmentation Index Reactive Hyperemia Index QTc RMSSD Triangular Index Low frequency variations High frequency variations Power Ratio Systolic blood pressure Diastolic blood pressure Heart rate
C-reactive protein 0.01,
p=0.95
-1.36,
p=0.06
0.02,
p=0.37
-0.77, p=0.90 -7.03, p=0.01 -1.73, p<0.01 -0.32, p=0.86 -26.35, p=0.02 0.18, p=0.18 -2.51, p=0.28 -1.93, p=0.16 4.90, p<0.01
Tumor necrosis factor-α receptor 1 -0.07,
p=0.51
0.44,
p=0.95
0.14,
p=0.01
1.30, p=0.77 -17.83, p=0.07 -2.12, p=0.06 -12.02, p=0.34 -19.54, p=0.40 -0.04, p=0.96 -9.40, p=0.05 -5.12, p=0.05 7.70, p=0.11
Soluble CD163 -0.11,
p=0.20
-6.01,
p=0.40
-0.04, p=0.46 0.02, p=0.70 5.75, p=0.39 -0.79, p=0.60 11.60, p=0.23 -20.80, p=0.33 0.25, p=0.18 2.06, p=0.26 0.70, p=0.34 4.82, p=0.21
Soluble CD14 0.00,
p=0.95
-13.88, p=0.10 -0.04, p=0.67 6.62, p=0.19 12.34, p=0.43 -1.70, p=0.46 -5.34, p=0.78 -46.00, p=0.24 0.19, p=0.58 -9.04, p=0.17 -5.53, p=0.11 15.52, p<0.01
Results from linear mixed models pooling data across both recruitment and 12 weeks of ART. Models adjusted for age, sex, and baseline CD4+ T-cell count and included a random effect for patient. Bold values represent statistically significant findings. Abbreviation: QTC: Corrected QT interval; RMSSD: Root Mean Square of the Successive Differences Reactive hyperemia index is natural log transformed
Table 3: Regression coefficients estimating the associations between cardiovascular markers and inflammation.
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