| |
Treated
(n=46) |
Untreated
(n=22) |
p value |
| Demographic data |
|
|
|
| Age (years) |
11.4(2.9) |
10.7(2.9) |
0.3 |
| Male %(N)†† |
52 (24) |
59 (13) |
0.1 |
| Clinical parameters |
|
| Weight |
36.2(11.9) |
37.9(14.6) |
0.6 |
| BMI |
17.8(2.7) |
18.8(3.1) |
0.2 |
| Systolic blood pressure (mmHg) |
102.4(9.2) |
107.0(10.3) |
0.08 |
| Diastolic blood pressure (mmHg) |
60.5(10.2) |
62.5(5.9) |
0.3 |
| Heart rate (bpm) |
80(11) |
84(16) |
0.2 |
| Glucose (mmol/L) |
4.4(0.7) |
4.5((0.8) |
0.7 |
| High sensitivity CRP (mg/L); median [IQR] |
1.1[0.2,2.4] |
0.4[1.4,2.4] |
0.3 |
| CDC stage (A/C) †† |
14/17 |
13/0 |
0.001 |
| Viral load median[IQR] |
50[50,2175] |
17400[11050, 36600] |
0.0001 |
| Lipid/ Blood results |
|
| Total cholesterol (mmol/L) |
4.3(0.9) |
3.5(0.8) |
0.002 |
| HDL cholesterol (mmol/L) |
1.4(0.5) |
0.9(0.3) |
0.0001 |
| Lp(α) (mg/L); median [IQR] |
46.1[30.6,77.7] |
34.7[22.6,67.3] |
0.5 |
| Triglycerides (mmol/L); median [IQR] |
1.0[0.8,1.3] |
0.9[0.6,1.4] |
0.7 |
| Anthropometric measurements z-scores (median [IQR] |
| Waist circumference |
0.2[-0.3,0.6] |
0.6[0.3,0.8] |
0.2 |
| Arm circumference |
-0.7[-1.3,0.3] |
-0.2[-1.1, 0.6] |
0.3 |
| Thigh circumference |
-1.1[-2.0,0.1] |
-0.6[-1.2,-0.1] |
0.1 |
| Calf circumference |
-0.8[-2.2,0.1] |
-0.9[-1.8,0.2] |
0.4 |
| Biceps skin-fold |
1.1[0.2,1.9] |
1.9[0.8,3.8] |
0.05 |
| Triceps skin-fold |
0.1[-0.5,1.1] |
0.8[-0.1,1.8] |
0.2 |
| Subscapular skin-fold |
1.8 [0.2,2.9] |
1.7[0.3,4.1] |
0.9 |
| Suprailiac skin-fold |
-0.5[-1.1,-0.1] |
-0.6[-.9,0.4] |
0.3 |
| Vascular measurements |
|
|
|
| Flow mediated dilation (%) |
7.3(3.9) |
10.1(4.2) |
0.01 |
| Baseline diameter (mm) |
2.7(0.5) |
2.8((0.5) |
0.7 |
| Glyceryltrinitrate mediated dilation (%) |
13.8(5.6) |
15.8(6.3) |
0.2 |
Values expressed in mean (SD) unless otherwise stated. Comparisons between
groups were made using independent t-test. Non-parametric variables were
expressed as median [IQR] and comparisons were made between the groups
using Mann Whitney analysis. ††: Analysis was performed using the chi-square
test. |
