Statistic analysis
The frequencies and proportions of the qualitative and median variables and their respective measure of dispersion (interquartile ranges) of quantitative variables were analyzed, according to their type of distribution determined by the Kolmogorov-Smirnov or Shapiro-Wilk test, depending on the case. The collection of the data was carried out in pairs.
In the bivariate analysis, the variables were compared using χ2 or Fisher’s exact test when nature was qualitative, and the Mann-Whitney test when they were quantitative variables (average levels of immunoglobulin A), and CI were also determined by Odds ratio to determine risk factors, the p values ​​were also calculated in the design, which allowed us to know a possible association between the levels, being considered significant when the p value was ≤0.05.
There was generated a database in which the information collected from each patient was included and the univariate, bivariate and stratified analysis were performed, using the SPSS version 20.0 software.