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. 2020 Mar 9;15(3):e0229995. doi: 10.1371/journal.pone.0229995

Table 4. Logistic regression model: Predictors of a favorable TB treatment outcome (defined as cured or treatment completed), at Carmelo Hospital between January 1, 2006 and December 31, 2017.

Estimates from Logistic regression models
Variables Unadjusted Adjusted
OR (95% CI) p-value aOR (95% CI) p-value
Gender <0.001
 Female 1 1
 Male 0.76 (0.70–0.84) <0.001 0.74 (0.67–0.82)
Age 0.05
 15–24 1 1
 25–64 0.78 (0.67–0.91) <0.01 0.89 (0.76–1.05)
 65+ 0.84 (0.65–1.09) 0.2 0.72 (0.54–0.94)
TB Diagnosis 0.001
 New Diagnosis 1 1
 All Others 0.73 (0.63–0.83) <0.001 0.76 (0.65–0.89)
TB type 0.02
 Clinically diagnosed 1
 Bacteriologically confirmed 1.16 (1.05–1.29) <0.01 1.16 (1.03–1.29)
 Extrapulmonary 1.11 (0.99–1.25) 0.07 1.09 (0.97–1.25)
HIV status*
 HIV (-) 1
 HIV (+) 0.54 (0.47–0.61) <0.001
HIV/ART status with ATT timing1 <0.001
 HIV (-) 1 1
 HIV (+) / ART never started 0.14 (0.12–0.18) <0.001 0.15 (0.12–0.17)
 HIV (+) / on ART at treatment start ≤90 days 0.37 (0.30–0.45) <0.001 0.37 (0.29–0.45)
 HIV (+) / on ART at treatment start >90 days 0.50 (0.43–0.59) <0.001 0.50 (0.41–0.59)
 HIV (+) / ART Naïve at treatment start but started on ART 0.90 (0.78–1.05) 0.19 0.89 (0.76–1.04)
Year <0.001
 2005–2018 (every yearly increase) 1.03 (1.01–1.04) <0.001 1.03 (1.02–1.05)
Distance from health facility <0.001
 Every 10km increase 0.95 (0.93–0.97) <0.001 0.96 (0.94–0.98)

1ART–Antiretroviral treatment, ATT–Anti-tuberculosis Treatment

*Not included in the model as correlated to HIV status and ART/ATT treatment timing