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. 2023 May 30;23:362. doi: 10.1186/s12879-023-08347-0

Table 4.

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

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

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