Statistical Analysis
The median and interquartile range were computed for continuous parameters, and counts and percentage for categorical variables. Group comparisons were carried out using the Mann–Whitney test and the χ² test as appropriate. Independent predictors of AHR were identified by multivariate logistic regression modeling entering parameters with P < .05 in a univariate analysis in a block. Odds ratios with their 95% confidence intervals and regression coefficients were computed. In order to create a weighted multivariate prediction score, points were assigned to each of the elected predictors based on the respective regression coefficient multiplied by ten and rounded up or down to the next integer number. An individual score value was calculated for each child by summing the weighted points of all the predictors. For each predictor, as well as for the multivariate score, sensitivity, specificity, a positive predictive value (PPV), and a negative predictive value (NPV) were determined at respective cutoff values, and receiver operating characteristics (ROC) curves were constructed. The SPSS software package 25 (IBM Armonk, New York, USA) was used for all calculations. P values < .05 were considered significant.