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Table 4 Univariate and multivariate logistic regression analysis of predictive factors related to bronchiectasis patients with NTM pulmonary infection

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

0.044

1.028

0.471

1.480

0.510–4.291

Gender

0.026

2.401

0.577

1.331

0.488–3.634

BMI ≤ 20 (kg/m2)

0.008

2.496

0.381

1.528

0.592–3.939

Age at diagnosis of bronchiectasis ≥ 50 years

0.032

2.221

0.066

2.583

0.939–7.107

 ≥ 3 times of bronchiectasis exacerbations in last year

0.002

2.848

0.060

2.499

0.962–6.496

HRCT Bronchiectasis involved bilateral lungs

0.047

2.321

0.177

0.417

0.117–1.483

HRCT bronchiectasis main lesions in middle lobe or lingual lobe

0.001

5.628

0.001

6.379

2.448–16.619

HRCT ≥ 3 abnormal image features

0.001

31.055

0.001

33.783

11.107–102.758