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Table 3 Determinants of loss to follow-up among TB patients who smoke and are registered in Selangor

From: Characteristics and determinants of loss to follow-up among tuberculosis (TB) patients who smoke in an industrial state of Malaysia: a registry-based study of the years 2013-2017

Variable

 

Crude OR

95% CI

P-value

AOR

95% CI

p-valuea

Age

< 32

1.32

1.04-1.67

0.025

1.08

0.83-1.42

0.537

32-41

1.82

1.44-2.29

< 0.001

1.60

1.23-2.08

0.001

42-53

1.42

1.15-1.82

0.002

1.44

1.11-1.87

0.007

> 53

1

  

1

  

Nationality

Malaysian

1.66

1.24-2.20

< 0.001

2.34

1.66-3.30

0.001

Non-Malaysian

1

  

1

  

Locality

Urban

1.28

1.04-1.57

0.023

1.55

1.23-1.97

< 0.001

Rural

1

     

Income level

≤RM2160

2.21

1.65-2.95

< 0.001

1.59

1.14-2.20

0.006

>RM2160

1

     

Employment status

Employed

1

  

1

  

Un-employed

1.38

1.18-1.61

< 0.001

1.30

1.09-1.55

0.004

Education Level

High Education

1

  

1

  

Secondary school

1.73

1.34-2.49

< 0.001

1.60

1.22-2.10

0.001

Primary school

1.3

0.92-1.84

0.136

1.73

1.16-2.57

0.007

No education

1.82

1.34-2.49

< 0.001

2.29

1.57-3.33

< 0.001

TB case categories

New case

1

     

Previously treated cases

2.58

2.07-3.22

< 0.001

2.19

1.71-2.81

< 0.001

TB case detection

Passive

1

     

Active (screening)

2.286

1.64-3.18

< 0.001

2.06

1.40-3.02

< 0.001

X-ray status

No lesions

1

  

1

  

Minimal lesions

1.06

0.79-1.42

0.685

1.17

0.84-1.63

0.363

Moderate lesions

1.44

1.06-1.94

0.019

1.60

1.13-2.27

0.008

Severe lesions

1.27

0.72-2.24

0.722

1.17

0.61-2.26

0.641

HIV status

Yes

1.78

1.38-2.31

< 0.001

1.36

1.02-1.82

0.037

No

1

     
  1. AOR Adjusted odds ratio, CI Confidence interval, B Regression coefficient, Nagelkerke R2 = 0.086, Hosmer and Lemeshow test = 0.603, Classification = 83.0% correct, AUC = 0.672 (95%CI: 65.0-69.3)
  2. aTest used: Multiple Logistic Regression Analysis (Method Backward LR; B Constant = −4.276, Model assumption are met Interaction considered in the model, No Multicollinearity)