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. 2016 May 26;11:1087–1096. doi: 10.2147/COPD.S103256

Table 5.

Univariate and multivariate logistic regression models predicting the likelihood of definite ILA

Variables Univariate
Multivariate
β SE OR 95% CI P-value β SE OR 95% CI P-value
Age, years −0.018 0.014 0.982 0.955–1.010 0.208
Sex
 Female 1
 Male 0.293 0.216 1.341 0.877–2.049 0.175
FEV1, % of predicted −0.003 0.005 0.997 0.987–1.008 0.621
BMI, kg/m2 −0.036 0.025 0.965 0.919–1.013 0.148
Smoking status
 Former 1 1
 Current 1.456 0.301 4.289 2.380–7.731 <0.001 1.476
(1.400)a
0.302
(0.309)a
4.377
(4.054)a
2.422–7.910
(2.214–7.421)a
<0.001
(<0.001)a
Pack-years 0.010 0.004 1.010 1.003–1.018 0.009 0.012
(0.014)a
0.004
(0.004)a
1.012
(1.014)a
1.004–1.020
(1.005–1.022)a
0.004
(0.001)a
Airflow obstruction
 Absent 1
 Present −0.226 0.220 0.798 0.519–1.227 0.303

Notes: Hosmer and Lemeshow test shows χ2=4.971, P=0.761 and χ2=7.394, P=0.495 for multivariate and multivariate adjusted models, respectively.

a

Multivariate adjusted model for presence of airflow obstruction, age, and sex. Statistically significant P-values are indicated by bold font.

Abbreviations: ILA, interstitial lung disease; SE, standard error; OR, odds ratio; CI, confidence interval; FEV1, forced expiratory volume in 1 second; BMI, body mass index.