Multivariable regression models are used to establish the relationship between the major dependent variables (variation in IL-17, BAFF, INF-γ, and TGF-β1) and demographic (gender and age), behavior (tobacco use, BMI has not been calculated), clinical (schizophrenia type and evolution, date of onset of the disease, previous treatment), and biological (ESR and CRP) independent variables. Here, CRP is linked to schizophrenia.