Childhood acute poisoning in the Italian North-West area: a six-year retrospective study

摘要

Statistical analysis of the data was performed using the Statistical Package for the Social Sciences (SPSS), version 24.0 software (SPSS, Inc., Chicago, IL, USA). Values of quantitative variables were expressed as mean ± standard deviation or median and interquartile range (IQR), while values of categorical variables were presented as frequencies and percentages. The χ2 test was used to evaluate any potential association between categorical variables and the Mann-Whitney U-test or the Kruskal-Wallis test were used to assess differences of quantitative variables between two or more groups of children, as appropriate. When there were significant differences according to the Kruskal-Wallis test, pairwise multiple comparisons were carried out using the Dunn test. Multiple logistic regression models were developed to identify predictors of hospitalization (yes vs. no) and severity of clinical status (minor -white or green code-, vs. serious - yellow and red codes). Purposeful selection of statistically ( values ≤0.2 in the univariate analyses) and clinically relevant was conducted. Data were presented as odds ratio (OR) and 95% confidence intervals (CI). Two-tailed values less than 0.05 were considered statistically significant.