Skip to main content

Table 4 Uni-variable and multivariablea logistic regression for predictors of loss to follow-up due to TB in Khambhat block (n = 2748)

From: Silicosis as a predictor of tuberculosis mortality and treatment failure and need for incorporation in differentiated TB care models in India

Variables

Crude OR (95% CI)

p-value

Adjusted OR (95% CI)

p-value

Concomitant silicosis

1.6 (0.9–3.1)

0.143

1.1 (0.6–2.2)

0.696

Age (years)

1.01 (0.99–1.02)

0.066

1.012 (1.001–1.023)

0.036

Male gender

1.4 (0.9–2.0)

0.091

1.3 (0.9–1.8)

0.248

Weight (n = 829)

0.99 (0.95–1.03)

0.634

-

-

HIV positive

1.3 (0.4–4.2)

0.666

-

-

Diabetes

0.6 (0.4–0.9)

0.015

0.6 (0.4–0.8)

0.005

Sputum positive TB

1.5 (1.04–2.09)

0.030

1.2 (0.8–1.8)

0.317

Previously treated for TB

1.2 (0.8–1.7)

0.378

-

-

Extra-pulmonary TB

0.4 (0.2–0.8)

0.010

0.5 (0.2–1.1)

0.079

Multi-drug resistant TB

6 (3–11)

 < 0.001

6 (3–12)

 < 0.001

  1. HIV Human immunodeficiency virus, TB Tuberculosis, OR Odds ratio, CI Confidence intervals
  2. aModel statistics: Omnibus chi-square = 45 (p-value < 0.001); Hosmer–Lemeshow p-value = 0.571; Nagelkerke r2 = 0.049; classification accuracy = 95%