Table 2:
Odds ratios from logistic regression models of bacterial prevalence in sputum
|
Anaerobes N=197 |
Haemophilus N=197 |
Staphylococcus N=200 |
Pseudomonas N=195 |
|
|---|---|---|---|---|
| F508del (1 vs 0) | -- | -- | -- | 8.24 (1.00, 68.20) |
| F508del (2 vs 0) | -- | -- | -- | 17.63 (2.13,146.04) |
| Pancreatic insufficiency | 0.12 (0.03, 0.53) | -- | -- | -- |
| Azithromycin | -- | 0.41 (0.18, 0.92) | 0.35 (0.19, 0.62) | 2.26 (1.10, 4.67) |
| Inhaled antibiotics | -- | 0.26 (0.12, 0.57) | -- | 3.97 (1.96, 8.05) |
| Center C vs. B | 0.58 (0.22, 1.52)1 | 0.41 (0.15, 1.08)1 | -- | -- |
| Centre D vs. B | 0.17 (0.08, 0.38) | 0.17 (0.07, 0.41) | -- | -- |
Variables evaluated for model inclusion were: gender, age, centre (B=Belfast; C=UNC; D=Dublin), FEV1 and BMI as categories (as in Figure 2), F508del, pancreatic status, chronic use of flucloxacillin, azithromycin, inhaled antibiotics, DNase, hypertonic saline, corticosteroids and antacids. “ – “ indicates these variables were not selected for the final model because they were not significant predictors as determined by stepwise model selection with p=0.10 for entry and p=0.05 for staying in the model.
1
Difference is not significant but comparison included in model for comparison to D vs. B.