Stata ic 14.2 version 2017

A statistical analysis was performed using the software STATA/IC 14.2 version 2017 (StataCorp LLC). We provided a description of the set of data using proportions and percentage for categorical variables, while continuous variables were described by measures of central tendency (mean or median, depending whether the distribution was normal or not), and measures of dispersion (SD; interquartile range).
Mainly, we compared patients having infected with not infected shunt device through χ² test or Fisher exact test for categorical variables or Student t test or Mann-Whitney U test for continuous variables. We also performed a multivariable logistic regression analysis exploring the potential predictors associated with patients presenting an infection of the shunt device.
We considered a 2-tailed P value of less than 0.05 to be significant.

A statistical analysis was performed using the software STATA/IC 14.2 version 2017 (StataCorp LLC, College Station, TX, USA). We tested the normality by Skewness/Kurtosis test. Data were reported as median values with an interquartile range (IQR), and direct comparisons were made with Mann–Whitney rank-sum tests. Percentages were used to describe categorical outcomes, and distributions of categorical data were compared with either a Pearson’s χ² test or a Fisher’s exact test, as appropriate. A logistic regression analysis was applied to detect predictive characteristics of the bronchiolitis during COVID-19 period was compared with pre-COVID-19 period. The inclusion of variables in the model was based on clinical plausibility and significant difference on the bivariate analysis. Considering the rarity of events or the unbalanced distribution of the cases for some variables and the small-sample bias, we performed the Firth method to reduce the small sample bias of maximum likelihood coefficients. Adjusted odds ratio (OR) and 95% confidence intervals (95% CI) were used as measures of effect. The statistical significance was set at p < 0.05 for all tests.