Statistical Analyses
Logistic regression was used to examine the association of the SRBD score as well as sub-questions with the presence of OSA. Screening accuracies of the SRBD score and sub-questions associated with OSA were examined by calculating the positive predictive values (PPV), negative predictive values (NPV), sensitivities, specificities, and the area under the curve (AUC) for the receiver‐operating characteristic (ROC). AUCs were compared using the Delong’s test for two ROC curves.
Since asthma may increase the susceptibility for upper airway obstruction4,5, in post-hoc analyses, we examined whether the odds of having OSA increased with asthma severity using logistic regression in an unadjusted model and a model adjusted for age, sex and BMI z-score.
All analyses were performed using R (www.r-project.org, with the “stats”, “remotes”, “ggplot2”, and “lme4” packages)18 and a two-sided P < 0.05 was considered statistically significant. All values were reported as means ± SD interquartile ranges and N (%) as appropriate.