Immunosuppressive therapy is complex and challenging to do correctly due to on-target and off-target side effects. However, it is vital to successful allotransplantation. In this article, we analyzed the critical classes of immunosuppressants used in renal transplantation, highlighting the mechanisms of action and typical clinical applications used to develop predictive models for the diagnosis of various diseases, including the prediction of survival after kidney transplantation. In patients, the authors used a dataset with two immunosuppressants (tacrolimus and cyclosporin). The primary task was investigating critical risk factors associated with early transplant rejection. For this, the censored Kaplan-Meier survival estimation method was used. Our study shows a pairwise correlation between taking and not using a particular immunosuppressant. Therefore, the correct choice of immunosuppressive drugs is necessary to improve the prognosis of transplant survival.
Keywords: Calcineurin inhibitors; Immunosuppressive protocols; Immunosuppressive therapy; Kaplan-Meier method; Kidney transplantation; Small data approach.
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