PROGRAM MODULE FOR PREDICTING THE OUTCOME OF ACUTE KIDNEY INJURY
The article presents the results of constructing predictive scale resuscitation for patients with acute kidney injury using the methods of multivariate statistical processing and logistic regression analysis, which is the basis for creating automated software module predicting disease outcome. The basis of the software module based on the following risk factors for adverse outcome in acute kidney injury: age older than 60 years, male gender, primary diagnosis, presence of sepsis, changes in laboratory parameters (concentration of potassium, sodium, platelet count), hydro positive start on the first day of therapy, the reduction rate of urine output for 48 hours (oliguria). The software module will enable the physician ICU form objectify evaluation of the severity of the patient with acute renal damage by calculating the probability of the risk of adverse outcome.