Table 2. Linear models of the paired change in cardiovascular markers and inflammation biomarkers over 12 weeks of ART.
Cardiovascular markers (change in regression outcome) | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Inflammation biomarkers (change in 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 | 0.00, p=0.96 | -2.22, p=0.54 | -0.09, p=0.07 | 1.35, p=0.74 | -5.76, p=0.37 | -1.32, p=0.18 | 5.60, p=0.65 | -22.80, p=0.18 | 0.05, p=0.81 | 1.62, p=0.60 | -0.09, p=0.97 | 3.43, p=0.23 |
Tumor necrosis factor-α receptor 1 | -0.08, p=0.52 | -6.22, p=0.54 | -0.26, p=0.03 | 9.62, p=0.31 | -10.09, p=0.69 | -2.13, p=0.41 | 12.78, p=0.70 | -38.72, p=0.40 | 0.02, p=0.97 | 0.20, p=0.98 | -3.98, p=0.38 | 14.10, p=0.06 |
Soluble CD163 | 0.02, p=0.86 | -14.06, p=0.04 | -0.11, p=0.17 | 2.71, p=0.68 | -2.05, p=0.91 | -1.75, p=0.34 | 28.46, p=0.16 | 1.86 p=0.95 | 0.33, p=0.23 | 5.19, p=0.30 | 2.34, p=0.46 | 9.44, p=0.06 |
Soluble CD14 | -0.03, p=0.83 | -15.37, p=0.25 | -0.05, p=0.77 | -4.08, p=0.73 | 11.25, p=0.76 | 0.41, p=0.91 | 9.91, p=0.79 | -21.07, p=0.72 | -0.03, p=0.96 | -2.51, p=0.78 | 2.45, p=0.67 | 13.31, p=0.17 |
Models estimate the relationship between the change in log-transformed inflammation biomarker and change in cardiovascular marker using ordinary least squares regression, adjusted for baseline values. 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