Skip to main content
. 2019 May 21;116(2):171–178. doi: 10.1159/000499674

Table 2.

Prediction of CPAP failure based on logistic regression models

Predictor Univariate regression model
Multivariate regression model
Multivariate regression model (final)
OR (95% CI) p OR (95% CI) p OR (95% CI) p
Male gender 1.05 (0.67–1.64) 0.821 1.00 (0.61–1.66) 0.986 - -
Gestational age, weeks 0.81 (0.68–0.97) 0.021 0.99 (0.78–1.26) 0.947 - -
Antenatal steroids 1.51 (0.69–3.63) 0.324 1.37 (0.58–3.58) 0.497 - -
Birth weight (100 g) 0.84 (0.76–0.90) <0.001 0.85 (0.76–0.95) 0.005 0.84 (0.77–0.92) <0.001
Multiple birth 1.01 (0.58–1.70) 0.973 0.98 (0.53–1.77) 0.936 - -
Cesarean delivery 1.62 (0.86–3.23) 0.148 1.16 (0.55–2.54) 0.708 - -
FiO2 - 1st h of life 1.04 (1.02–1.06) <0.001 1.02 (1.00–1.04) 0.072 1.02 (1.00–1.04) 0.061
FiO2 - 2nd h of life 1.08 (1.05–1.10) <0.001 1.06 (1.04–1.09) <0.001 1.06 (1.04–1.09) <0.001
Initial CPAP pressure, cm H2O 1.02 (0.73–1.40) 0.911 0.97 (0.67–1.38) 0.865 - -

Significantp values are indicated in bold. CPAP, continuous positive airway pressure; FiO2, fraction of inspired oxygen.