Table 3.
HIV Exposed | HIV Infected | |||
---|---|---|---|---|
Unadjusted HR (95% CI) |
Adjusted HRμ (95% CI) |
Unadjusted HR (95% CI) |
Adjusted HR (95% CI) |
|
Gender (male vs. female) | 1.00(0.89-1.12) | - | 1.10 (0.95-1.26) | - |
Age per year increase* | 0.87 (0.85-0.89) % missing: 0% |
0.90 (0.85-0.96) | 0.96 (0.94-0.99) % missing: 0% |
0.93 (0.86-1.00) |
Orphaned at enrolment
(yes vs. no) |
0.31 (0.26-0.37) | 1.57 (1.23-1.64) | 0.83(0.70-0.98) | 1.09 (0.75-1.60) |
Attending urban clinic
(yes vs. no)* |
1.24(1.11-1.39) | 0.93(0.83-1.04) | 1.06 (0.92-1.22) | - |
Severely low weight for
height (z ≤−3 vs.>-3)* |
2.10 (1.68-2.61) % missing:0% |
1.69 (1.25-2.28) | 3.82(2.74-5.32) % missing: 25% |
1.61(0.66-3.93) |
Severely immune-
suppressed (per age cate- gory)* |
1.35(1.04-1.76) % missing: 86% |
- | 1.83(1.46-2.30) % missing: 32% |
2.17 (1.51-3.12) |
CDC clinical stage(B/C vs.
A) |
0.59 (0.56-0.70) % missing: 0% |
1.41(1.14-1.74) | 1.21 (1.02-1.43) % missing: 30% |
0.85 (0.59-1.23) |
Enrolled 2005-2006
(vs. <2005) |
0.62(0.56-0.69) | 0.68(0.58-0.80) | 0.85(0.68-1.06) | 0.80(0.43-1.48) |
Enrolled≥2007
(vs. <2005) |
0.62 (0.55-0.70) | 0.71(0.60-0.85) | 0.70(0.55-0.91) | 0.92 (0.47-1.84) |
Received food supplemen-
tation(yes vs. no)* |
0.52(0.37-0.72) | 0.58(0.32-1.04) | 0.09 (0.02-0.38) | - |
Became HIV-infected
(yes vs. no)* |
0.22(0.19-0.25) | 0.26(0.21-0.32) | - | - |
Receiving antiretrovirals
(yes vs. no)* |
0.47(0.41-0.55) % missing: 0% |
1.56 (1.23-1.99) | 0.94 (0.81-1.08) % missing: 0% |
- |
Completeness of data for cross-sectional variables are presented in Table 1. Completeness of data for longitudinal variables (age, weight for height, immune suppression, clinical stage) are presented as a proportion of the expected frequency of measures as per clinical algorithms for HIV-exposed and HIV-infected children, respectively,pre-imputation.
Longitudinal variables from enrolment until last visit using all available data.
The variables used in the full model are those that were significant in the univariable models(p<0.05). Some univariately significant variables are not included in the multi-variable models because the missing-data lead to non-estimable regression co-efficients.i.