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Table 4 Univariate and multivariable analysis of the effect of HIV status on TB treatment outcomes

From: Burden of HIV and treatment outcomes among TB patients in rural Kenya: a 9-year longitudinal study

TB treatment outcome

Univariate analysis

Multivariable analysis

Crude Odds Ratio (95% CI)

P-value

Adjusted Odds ratio (95% CI)a

P-value

Treatment complete

 HIV positive Vs negative

0.62 (0.58‒0.67)

 < 0.001

0.56 (0.52‒0.61)

 < 0.001

 HIV unknown Vs negative

0.56 (0.44‒0.71)

 < 0.001

0.57 (0.44‒0.73)

 < 0.001

 

Crude HR (95% CI)

 

Adjusted HR (95% CI)a

 

Died

 HIV positive Vs negative

2.32 (2.13‒2.53)

 < 0.001

2.40 (2.18‒2.63)

 < 0.001

 HIV unknown Vs negative

2.34 (1.75‒3.12)

 < 0.001

1.93 (1.44‒2.56)

 < 0.001

Defaulted/Lost-to-follow-up

 HIV positive Vs negative

1.01 (0.88‒1.14)

0.97

1.16 (1.01‒1.32)

0.04

 HIV unknown Vs negative

1.58 (1.04‒2.39)

0.03

1.55 (1.02‒2.35)

0.04

Transfer out

 HIV positive Vs negative

1.06 (0.91‒1.24)

0.48

1.09 (0.92‒1.29)

0.30

 HIV unknown Vs negative

1.08 (0.59‒1.96)

0.80

1.01 (0.56‒1.84)

0.97

Treatment failure

 HIV positive Vs negative

0.85 (0.64‒1.13)

0.27

1.08 (0.80‒1.46)

0.62

 HIV unknown Vs negative

1.19 (0.44‒3.20)

0.73

1.54 (0.57‒4.15)

0.40

  1. aAdjusted for a priori confounders: age, sex, patient type, TB type, facility type, method of DOT, BMI, TB treatment regimen, type of TB diagnosis, presence of other underlying medical conditions and year of diagnosis, Odds Ratios are from multilevel logit regression model, Hazard Ratios are from Cox proportional hazard regression models