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Table 4 Binary logistic regression analysis on the associations between demographical, clinical and bacteriological characteristics and clustering of INH resistant MTB isolates in the present study

From: Extensive transmission of isoniazid resistant M. tuberculosis and its association with increased multidrug-resistant TB in two rural counties of eastern China: A molecular epidemiological study

Variables

INH resistant isolates

unadjusted

OR

adjusted

OR*

p

95%CI

  

No. patients

n(%) clustered

    

Social-demographic and clinical characteristics:

Age (year)

18~

34

12(35.3)

1

   
 

30~

65

34(52.3)

2.011

   
 

60~

32

17(53.1)

2.078

   

Sex

Female

46

22(47.8)

1

   
 

Male

85

41(48.2)

1.163

   

County

Deqing

55

27(49.1)

1

   
 

Guanyun

76

36(47.4)

0.933

   

BMI

≥18.5

94

41(43.6)

1

1

  

Index

<18.5

37

22(59.5)

1.896

1.833

0.13

0.836-4.019

Treatment

New

80

32(40.0)

1

1

  

history

Previously

51

31(60.8)

2.325

2.159

0.040§

1.037-4.495

Sputum

negative

49

18(36.7)

1

1

  

smear

positive

82

45(54.9)

2.095

2.286

0.032§

1.075-4.863

Cavity

No

111

50(45.0)

1

1

  
 

Yes

20

13(65.0)

2.266

2.423

0.091

0.868-6.761

Bacteriological features:

Drug

INH mono

55

21(38.2)

1

1

  

resistance

MDR-TB

53

31(58.5)

2.281

2.384

0.030§

1.089-5.220

 

PDR -TB

23

11(47.8)

1.484

1.627

0.348

0.588-4.496

katG

wt

50

9(18.0)

1

1

  
 

315Thr

74

54(73.0)

12.3

12.7

0.001§

6.357-14.80

 

others

7

0(0)

-

-

  

inhA

wt

103

59(57.3)

1

1

  
 

-15T

28

4(14.3)

0.124

0.12

0.001§

0.038-0.375

Beijing

No

26

4(15.4)

1

1

  

genotype

Yes

105

59(56.2)

5.183

5.289

0.001§

1.832-15.26

  1. NOTE. OR, odds ratio; 95%CI, confidence interval; wt, wild type; MDR-TB, multidrug-resistant tuberculosis; PDR-TB, polydrug-resistant tuberculosis.
  2. *: OR and 95%CI were adjusted by age, sex and county of subjects in binary logistic regression model.
  3. §: p < 0.05.