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. 2018 Dec 17;4(12):e01050. doi: 10.1016/j.heliyon.2018.e01050

Table 6.

Distribution of risk factors included in the predictive model and associated with the diagnosis of CF according to multivariate models, performed with binary logistic regression. It was adjusted for age and the presence of allergies as confounding factors.

OR IC (95%) p < 0.05
1 Hyponatremic dehydration 191.03 14.14–4505.61 0.0001
2 Exocrine pancreatic insufficiency 152.77 5.27–8064.36 0.006
3 Meconial ileus 65.73 6.16–1179.40 0.001
4 Brother with CF diagnosis 32.19 1.45–1401.39 0.041
5 Infection with Pseudomonas aeruginosa 24.37 2.08–487.07 0.019
6 Digital clubbing 5.46 1.24–26.46 0.027
7 Chronic rhinosinusitis 4.57 1.05–22.72 0.049
8 Chronic diarrhea 0.09 0.01–0.71 0.039
9 Intestinal obstruction 0.01 0.00–0.35 0.048

Source: database of the patients analyzed. Elaboration: author.