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.