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Table 4 Various TB screening models to predict bacteriologically confirmed TB in logistic regression analysis

From: Sensitivity and specificity of tuberculosis signs and symptoms screening and adjunct role of social pathology characteristics in predicting bacteriologically confirmed tuberculosis in Myanmar

Predictor variables

Various TB screening models to predict bacteriologically confirmed TB

Combined models

Social pathology model

TB-SS models

A

B

C

D

E

I. Predictor variables to predict bacteriologically confirmed TB in univariate analysis

 (1) All social pathology characteristics variables

+

+

+

  

  (2) Any TB signs and symptoms variable

+

  

+

 

  (3) Any cough variable

 

+

  

+

II. Coefficient (β) of significant predictor variables to predict bacteriologically confirmed TB in final multivariate logistic regression analysis

Intercepts

− 8.7262

− 8.5302

− 8.4746

− 5.6148

− 5.22840

Social characteristics

    

 Age group (years)

   

-

-

  15–24

0.0000

0.0000

0.0000

  

  25–34

1.7756

1.8222

1.8248

  

  35–44

2.3192

2.3699

2.3756

  

  45–54

2.3008

2.3831

2.3916

  

  55+

2.2943

2.3852

2.4088

  

Gender

   

-

-

 Female

0.0000

0.0000

0.0000

  

 Male

1.0400

1.0261

1.0436

  

Occupation

   

-

-

 Non farmer

0.0000

0.0000

0.0000

  

 Farmer

− 0.2440

− 0.2198

− 0.2130

  

 Dependent

0.4153

0.4241

0.4323

  

Religion

   

-

-

 Buddhist

0.0000

0.0000

0.0000

  

 Other

0.4001

0.4663

0.4893

  

Area of residence

   

-

-

 Rural

0.0000

0.0000

0.0000

  

 Urban

0.5039

0.4673

0.4520

  

 Administrative division

  

-

-

  Region

0.0000

0.0000

0.0000

  

  State

0.3727

0.4529

0.4664

  

 Contact with a known TB case

  

-

-

  No

0.0000

0.0000

0.0000

  

  Yes

0.6562

0.7116

0.7214

  

 Previous history of TB

  

-

-

  No

0.0000

0.0000

0.0000

  

  Yes

0.9422

1.0226

1.0313

  

Pathology characteristic

 Body mass index

   

-

-

  Underweight

0.9923

1.0379

1.0519

  

  Normal

0.0000

0.0000

0.0000

  

  Overweight/obese

− 0.8556

− 0.9038

− 0.9069

  

TB-SS

 Any TB signs and symptoms

  Absence

0.0000

  

0.0000

 

  Presence

0.8601

  

1.1145

 

 Any cough

  Absence

 

0.0000

  

0.0000

  Presence

 

0.4682

  

0.67314

AIC

3331.4

3373

3382.1

3706.3

3777.8

Median (IQR) of propensity score

0.003 (0.001–0.006)

0.003 (0.001–0.007)

0.003 (0.001–0.006)

0.003 (0.002–0.01)

0.005 (0.004–0.006)

  1. All social pathology variables included age, gender, education, occupation, religion, marital status, area of residence (rural or urban), administrative division (region or state), smoking and drinking, contact with a known TB case, previous history of TB, body mass index (kg/m2), diabetes mellitus, human immunodeficiency virus and hypertension. Variables included in univariate analysis of each TB screening model are indicated by “+”. The propensity score for each model was calculated from coefficient (β) of significant predictor variables in each TB screening model
  2. AIC Akaike information criterion, IQR interquartile range, TB tuberculosis, TB-SS TB signs and symptoms
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Tropical Medicine and Health

ISSN: 1349-4147

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