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Table 3 Logistic regression models predicting risk of cure (model 1), abandonment of treatment (model 2) and death (model 3) from tuberculosis among all TB cases in Rio de Janeiro, Brazil, 2010

From: Risk factors for differential outcome following directly observed treatment (DOT) of slum and non-slum tuberculosis patients: a retrospective cohort study

 

Odds ratio

Standard error

95 % confidence interval

Model 1: risk of cure*

 On directly observed treatment (DOT)

1.16

0.12

0.95, 1.42

 Residence in a slum (AGSN) area

0.77

0.08

0.63, 0.95

 Sex (reference female)

0.73

0.06

0.62, 0.85

 Age in years

1.01

0.002

1.00, 1.01

 Extrapulmonary clinical disease

2.07

0.23

1.66, 2.59

 HIV/AIDS

0.23

0.02

0.19, 0.28

 DOT x AGSN (interaction term)

1.67

0.31

1.17, 2.40

Model 2: risk of abandonment§

 On directly observed treatment (DOT)

1.15

0.13

0.92, 1.43

 Residence in a slum (AGSN) area

1.33

0.16

1.05, 1.67

 Sex (reference female)

1.41

0.13

1.18, 1.69

 Age in years

0.98

0.003

0.97, 0.98

 Extrapulmonary clinical disease

0.44

0.06

0.33, 0.57

 HIV/AIDS

1.97

0.23

1.56, 2.48

 DOT x AGSN (interaction term)

0.61

0.12

0.41, 0.90

Model 3: risk of death

 On directly observed treatment (DOT)

0.39

0.11

0.23, 0.67

 Residence in a slum (AGSN) area

1.23

0.23

0.85, 1.78

 Age in years

1.03

0.01

1.02, 1.04

 Extrapulmonary clinical disease

0.64

0.13

0.43, 0.95

 HIV/AIDS

8.79

1.45

6.35, 12.16

 DOT x AGSN (interaction term)

0.10

0.10

0.01, 0.77

  1. AGSN aglomerados subnormais
  2. *N: 3797, R2 = 0.061
  3. §N: 3797, R2 = 0.047
  4. N: 3797, R2 = 0.175