DOI: https://doi.org/10.22263/2312-4156.2022.5.89
A.T. Shchastniy, A.V. Shulmin, E.V. Mikhnevich
The detection of predictors probabilistic characteristics of acute renal graft rejection on the part of a recipient
Vitebsk State Order of Peoples’ Friendship Medical University, Vitebsk, Republic of Belarus
Vestnik VGMU. 2022;21(5):89-95.
Abstract.
Acute renal graft rejection (ARGR) may be the cause of its dysfunction and loss in the postoperative period.
Objectives. To identify possible predictors of ARGR based on the analysis of the alleged risk factors on the part of a recipient.
Material and methods. A retrospective study of medical cards of 248 patients who underwent cadaveric kidney allotransplantation (CKA) was carried out. The influence of the following factors on the probability of developing ARGR was assessed: weight, age, blood group, Rh factor, gender of a recipient, duration of renal replacement therapy (RRT). Data processing was carried out by CRT analysis for the “decision tree” method (SPSS Statistics 22 program), and also using Pearson’s chi-square test (Statistica software package).
Results. The study has revealed that being on RRT for more than 9.5 months statistically significantly increases the likelihood of developing ARGR in the postoperative period, especially in the group of patients with IV (AB) blood type.
Conclusions. Factors such as the duration of RRT for more than 9.5 months and the IV(AB) blood group a type of a recipient, both individually and in combination, can be considered as predictors of ARGR development. Therefore, measures to reduce the incidence of ARGR should be aimed at reducing the duration of RRT, as well as restrictions of recipients with IV(AB) blood group type on being under RRT for more than 9.5 months.
Keywords: acute renal graft rejection, recipient blood group type, duration of renal replacement therapy, kidney transplantation, reduction in the duration of renal replacement therapy, promotion on the waiting list.
References
1. Naik RH, Shawar SH. Renal Transplantation Rejection. StatPearls. In: Aba B, Abu-Ghosh A, Acharya AB, Adhia SG, Sedeh PA, Aeby TC, et al, ed board. StatPearls Publishing LLC; 2022. Available from: https://www.ncbi.nlm.nih.gov/books/NBK553074/. [Accessed 26th September 2022].
2. Rostami Z, Tavallaii S-A, Jahani Y, Einollahi B. Assessment of quality of life in a single-center transplantation population using the Kidney Transplant Questionnaire-25 questionnaire. Transplant Proc. 2011 Mar;43(2):590-1. doi: http://dx.doi.org/10.1016/j.transproceed.2011.01.078
3. Mikita OYu, Khubutiya ASh. Psychological status and quality of life in patients with chronic renal failure before and after kidney transplantation. Uch Zap Un-ta im PF Lesgafta. 2018;(12):326-9. (In Russ.)
4. Comai G, Ravaioli M, Baraldi O, Cuna V, Gasperoni L, D''Arcangelo GL, et al. Treatment of Acute Antibody-Mediated Rejection. Contrib Nephrol. 2017;190:156-167. doi: http://dx.doi.org/10.1159/000468962
5. Pinchuk AV, Shmarina NV, Dmitriev IV, Stolyarevich ES, N. V. Zagorodnikova, Lazareva KE. Effect of acute rejection early after repeated kidney transplantation on nephrotransplant survival. Transplantologiya. 2021;13(3):260-71. (In Russ.)
6. Wang W, Li Xi, Yin H, Yang X, Liu H, Ren L, et al. Factors affecting the long-term renal allograft survival. Chin Med J. 2011 Apr;124(8):1181-4.
7. Shabunin AV, Drozdov PA, Nesterenko IV, Makeev DA, Zhuravel OS, Astapovich SA. Risk factors for delayed renal transplant function from a postmortem donor. Transplantologiya. 2022;14(3):265-77. (In Russ.)
8. Braun WE, Schold JD. Transplantation: strength in numbers-predicting long-term transplant outcomes. Nat Rev Nephrol. 2011 Mar;7(3):135-6. doi: http://dx.doi.org/10.1038/nrneph.2011.10
9. Faravardeh A, Eickhoff M, Jackson S, Spong R, Kukla A, Issa N, et al. Predictors of graft failure and death in elderly kidney transplant recipients. Transplantation. 2013 Dec;96(12):1089-96. doi: http://dx.doi.org/10.1097/TP.0b013e3182a688e5
10. Lebranchu Y, Baan C, Biancone L, Legendre C, Morales JM, Naesens M, et al. Pretransplant identification of acute rejection risk following kidney transplantation. Transpl Int. 2014 Feb;27(2):129-38. doi: http://dx.doi.org/10.1111/tri.12205
11. Zybleva SV, Zyblev SL. Immunological predictors of renal transplant rejection in the early postoperative period. Novosti Khirurgii. 2021;29(3):311-7. (In Russ.) doi: http://dx.doi.org/10.18484/2305-0047.2021.3.311
12. Nosik AV, Korotkov SV, Smolnikova VV, Grinevich VYu, Dmitrieva MV, Pikirenya II, i dr. New Biomarkers of Late Cellular Renal Allograft Rejection. Zdravookhranenie. 2020;(5):57-64. (In Russ.)
Information about authors:
A.T. Shchastniy – Doctor of Medical Sciences, professor, head of the Chair of Hospital Surgery with the course of the Faculty for Advanced Training & Retraining, rector of Vitebsk State Order of Peoples’ Friendship Medical University, https://orcid.org/0000-0003-2796-4240
A.V. Shulmin – Doctor of Medical Sciences, professor, head of the Chair of Management and Marketing of Pharmacy, Vitebsk State Order of Peoples’ Friendship Medical University, https://orcid.org/0000-0002-5087-8255
E.V. Mikhnevich – senior lecturer of the Chair of Public Health & Health Service with the course of the Faculty for Advanced Training & Retraining, Vitebsk State Order of Peoples’ Friendship Medical University, https://orcid.org/0000-0001-8591-7376
E-mail: Этот адрес электронной почты защищён от спам-ботов. У вас должен быть включен JavaScript для просмотра. – Ekaterina V. Mikhnevich.