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. 2017 Feb;27(Suppl 1):29–38. doi: 10.4314/ejhs.v27i1.4s

Table 3.

Effect of Tuberculosis on Mortality

Characteristics Uni-variable analysis* Multi-variable analysis*

Hazard ratio
(95% CI)
P
Value
Hazard ratio
(95% CI)
P
Value
Age
<15 1
≥15 5.247(2.573 – 10.70) <0.001 9.754 (3.001 – 31.70) <0.001
Sex
Female 1 1
Male 1.340(1.085 – 1.655) 0.007 1.276 (1.024 – 1.590) 0.030
Base CD4 Count
<100 1 1
100–350 0.456 (0.366 – 0.569) <0.001 0.525 (0.418 – 0.658) <0.001
≥350 0.356 (0.175 – 0.728) 0.005 0.731 (0.351 – 1.525) 0.404
Base WHO Stage
I–II 1 1
III–IV 1.618 (1.230 – 2.128) 0.001 1.448 (1.080 – 1.941) 0.013
CTX
No 1 1
Yes 0.600 (0.431 – 0.824) 0.002 0.718 (0.508 – 1.013) 0.059
ART Start Year
2005 – 2008 1 1
2009 – 2010 1.110 (0.860 – 1.434) 0.422 1.290 (0. 992 – 1.679) 0.057
2011 – 2013 1.550 (1.146 – 2.094) 0.004 1.497 (1.427 – 2.728) <0.001
Tuberculosis
No 1 1
Yes 2.013 (1.473 – 2.751) <0.001 1.785 (1.289 – 2.473) <0.001
*

Stratified by facility and functional status. Functional status strongly predicted mortality but couldn't be used in the model since it violated the proportionality assumption. It is for this reason that it was included in the stratification to adjust for the main predictor.