Scientific journal
Научное обозрение. Медицинские науки
ISSN 2500-0780
ПИ №ФС77-57452

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PREDICTIVE FRAMEWORK FOR INDIVIDUAL PREDICT THE OUTCOME OF CHRONIC PYELONEPHRITIS

Khyzikhanov F.V. 1 Aliev R.M. 1
1 Kazan state medical university
Recently there has been an increased incidence of chronic pyelonephritis, reducing the effectiveness of treatment and the increase in the frequency of adverse outcomes of the disease. An increasing proportion of pyelonephritis in the major causes of terminal chronic renal failure in Russia. Therefore, there is need for patients with high risk of an adverse outcome of chronic pyelonephritis and improved prevention. The aim of our study was to develop one of the most effective methods for determining and predicting the risk of using mathematical methods of computing the complex factors that have an adverse effect on the development of chronic pyelonephritis. We have developed a predictive matrix for individual prediction of the outcome of chronic pyelonephritis. Based on the nature of the forecast, determines the duration of follow-up, as well as the need for preventive measures to eliminate or mitigate the impact of adverse social, hygienic, medical and biological factors of the patient.