Survival analysis of renal patients underwent transplantation in Kyrgyz Republic and various countries by 10 years follow-up

• Main Authors: Zhanybek J. Gaibyldaev, Zhamalbek I. Ashimov, Damirbek A. Abibillaev, Fuat Kocyigit
• Format: Article
• Language: English
• Published: Center for Scientific Research and Development of Education. 2019-11-01
• Series: Heart Vessels and Transplantation
• Subjects: renal transplantation; survival function; cumulative survival; mortality; follow-up; kaplan-meier analysis; cox regression analysis; event; censored value
• Online Access: https://www.hvt-journal.com/articles/art168

In our study we conducted survival analysis of 204 patients visited Scientific-Research Institute of Heart Surgery and Organs transplantation and who underwent renal transplantation in Kyrgyzstan and other Eurasian countries between 2005 and 2016 years (age range: 9-71 years, mean: 38.21 (12.74) years, median: 34.0 (0.89) years; gender: 142 male (69.6%)). During follow-up period, mortality event was observed in 16 (7.84%) patients. Survival function probabilities of patients and rational risk factors of survival functions were evaluated by Kaplan-Meier and Cox regression analyses, respectively. According to Kaplan-Meier results survival probabilities calculated for 1st year: 0.96 (0.014), for 3rd year: 0.94 (0.018), for 5th year: 0.86 (0.04), for 7th year: 0.75 (0.10). Among age groups 28-39 age ranges prevailed by 11 patients. Nevertheless, that difference did not show statistical significance: p˃0.322. The intensity of transplantation also analyzed according to years, which revealed increasing in numbers of operations by time. For instance, when in 2006 only two cases were registered in our center, but numbers of transplanted patients reached up to 48 in 2015. The association of mortality states and years of transplantation found significantly by Kaplan-Meier test (Breslow p˂0.001). The survival analysis was compared according to countries and revealed significant results (Breslow p˂0.05). From other factors influencing mortality, sex did not show strong impact on survival by Kaplan-Meier analysis, but significant association was found by Cox regression analysis.