Predicting the results of kidney transplantation by factors associated with the condition of patients before surgery Part 1 - The results of univariate analysis

Kidney transplantation (KT) is the best method of renal replacement therapy. The aim of the study was to identify factors associated with the condition of patients before transplantation to predict outcomes of kidney transplantation. Materials and methods: retrospective analysis was undertaken in cohort of 350 renal transplant recipients: 229 men (65.4%) and 121 women (34.6%). Average patient age was 37.07±0.57 years. The period after operation ranged from 1 day up to 30 years. The following KT outcomes were studied: status of patient (alive or not), the status of renal allograft (functioning or not), the development of chronic transplant nephropathy (CTN). The main methods of statistics were descriptive statistics, correlation analysis methods (Pearson, Kendall, Spearman criteria), survival (Wilcoxon-Gehan, Kaplan-Meier). SPSS 16 software was used. Results: methods of univariate analysis revealed the following significant predictors of ATP results associated with the condition of the patient before the surgery (р<0,05). For patient survival: age, comorbidity index, hemoglobin level, albumin, ALT, duration of dialysis, smoking, employment during dialysis. For renal transplant survival: comorbidity index, hemoglobin level, albumin, ALT, left ventricular hypertrophy, smoking, and employment during dialysis. For CTN: age, hemoglobin level, ALT, smoking.

результаты трансплантации почки, ренальный аллотрансплантат, прогнозирование, однофакторный анализ, выживаемость, потеря трансплантата, хроническая трансплантационная нефропатия, results of kidney transplantation, prediction, renal allotransplant, univariate analysis, survival, graft loss, chronic transplant nephropathy

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