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Table 5 Univariate and multivariate logistic regression analysis of predictive factors related to bronchiectasis patients with NTM pulmonary infection among patients without combination infection of Pseudomonas aeruginosa

From: Clinical characteristics of patients with bronchiectasis with nontuberculous mycobacterial disease in Mainland China: a single center cross-sectional study

Characteristics

Univariate logistic regression model

Multivariate logistic regression model

P

OR

P

OR

95% CI

Age

0.097

1.025

–

–

 

Gender

0.060

2.239

–

–

 

BMI ≤ 20 (kg/m2)

0.001

3.625

–

–

 

Age at diagnosis of bronchiectasis ≥ 50 years

0.018

2.985

0.078

3.109

0.882–10.959

 ≥ 3 times of bronchiectasis exacerbations in last year

0.023

2.417

0.187

2.418

0.690–6.684

HRCT Bronchiectasis involved bilateral lungs

0.093

2.110

–

–

 

HRCT bronchiectasis Main lesions in middle lobe or lingual lobe

0.001

6.667

0.001

7.641

2.417–24.158

HRCT ≥ 3 abnormal image features

0.001

30.07

0.001

32.754

9.669–110.961