Factors associated with transplantectomy in patients hospitalized with renal allograft pyelonephritis: a single-center observational study
https://doi.org/10.28996/2618-9801-2025-2-167-176
Abstract
Introduction: chronic kidney disease remains a major healthcare challenge, particularly in cases of endstage renal failure, where kidney transplantation is the most effective treatment. However, post-transplant complications – such as transplant pyelonephritis – significantly compromise graft function and potentially result graft loss. This study aimed to identify predictors of transplantectomy in patients hospitalized with allograft pyelonephritis and to develop a predictive model for assessing the risk of adverse outcomes.
Materials and Methods: a retrospective single-center study was conducted, analyzing 501 cases of pyelonephritis in transplanted kidneys in adult patients hospitalized between January 1, 2018, and June 30, 2024. Demographic, medical history, laboratory, and imaging data were collected, and patient outcomes were assessed. Logistic regression was applied to identify predictors of transplantectomy. The predictive performance of developed model was evaluated using receiver operating characteristic (ROC) analysis.
Results: transplantectomy was required in 5.8% of patients. Key predictors of graft removal included nonfunctioning graft (adds ratio, OR=13.647; p< 0.001), presence of urosepsis (OR=4.804; p=0.014), and the need for renal replacement therapy (OR=12.884; p=0.026). COnversely, the use of triple immunosuppressive therapy was identified as a protective factor (OR=0,140; p=0.003). The developed predictive model demonstrated strong associations between clinical factors and the risk transplantectomy, showing a reasonably good fit to the observed data (AUC=0.951; 95% CI: 0.920.98).
Discussion and Conclusion: the most significant predictors of transplantectomy were a nonfunctioning graft and systemic infectious complications such as urosepsis. The use of triple immunosuppressive therapy showed a protective effect, underscoring the importance of optimizing immunosuppressive regimens in transplant recipients. These findings provide a foundation for developing strategies to identify patients at high risk of graft loss early and to improve treatment outcomes. However, further validation through multicenter prospective studies is warranted to strengthen and generalize these results.
About the Authors
S. S. AndreevRussian Federation
Sergey S. Andreev
3, Pekhotnaya St., Moscow, 123182
R. N. Trushkin
Russian Federation
Ruslan N. Trushkin
3, Pekhotnaya St., Moscow, 123182;
1, Ostrovityanova St., Moscow, 117997
T. K. Isaev
Russian Federation
Teymur K. Isaev
3, Pekhotnaya St., Moscow, 123182
L. Yu. Artyukhina
Russian Federation
Ludmila Yu. Artyukhina
3, Pekhotnaya St., Moscow, 123182
N. F. Frolova
Russian Federation
Nadiya F. Frolova
3, Pekhotnaya St., Moscow, 123182
N. N. Ilyukhina
Russian Federation
Nadezhda N. Ilyukhina,
3, Pekhotnaya St., Moscow, 123182
P. O. Narusova
Russian Federation
Polina O. Narusova
3, Pekhotnaya St., Moscow, 123182
Sh. P. Abdullaev
Russian Federation
Sherdzod P. Abdullaev
3, Pekhotnaya St., Moscow, 123182
A. D. Dushkin
Russian Federation
Alexander D. Dushkin
3, Pekhotnaya St., Moscow, 123182
M. A. Lysenko
Russian Federation
Maryana A. Lysenko
3, Pekhotnaya St., Moscow, 123182;
1, Ostrovityanova St., Moscow, 117997
M. V. Zhuravleva
Russian Federation
Marina V. Zhuravleva
8, building 2, Petrovsky boulevard, Moscow, 127051;
8, building 2, Trubetskaya St., Moscow, 119048
References
1. Who.int [internet]. World Health Organization. SDG target 3.4 non-communicable diseases and mental health. URL: https://www.who.int/data/gho/data/themes/topics/sdg-target-3_4-noncommunicable-diseases-and-mental-health. Accessed March 4, 2025
2. Basaev VV, Prokopenko EI, Vatazin AV et al. Successful treatment of carcinoma in functioning renal transplant. Nephrology and Dialysis. 2015;17(4):459-466 (In Russian)
3. Perović S, Janković S. Renal transplantation vs hemodialysis: cost-effectiveness analysis. Vojnosanit Pregl. 2009;66(8):639-644. DOI:10.2298/vsp0908639p
4. Zhang Y, Gerdtham UG, Rydell H et al. Healthcare costs after kidney transplantation compared to dialysis based on propensity score methods and real-world longitudinal register data from Sweden. Sci Rep. 2023;13(1):10730. DOI:10.1038/s41598-023-37814-6
5. Nambiar P, Silibovsky R, Belden KA. Infection in Kidney Transplantation. Contemporary Kidney Transplantation. 2018:307-327. DOI:10.1007/978-3-319-19617-6_22
6. Agrawal A, Ison MG, Danziger-Isakov L. Long-Term Infectious Complications of Kidney Transplantation. Clin J Am Soc Nephrol. 2022;17(2):286-295. DOI:10.2215/CJN.15971020
7. Hosseinpour M, Pezeshgi A, Mahdiabadi MZ, et al. Prevalence and risk factors of urinary tract infection in kidney recipients: a meta-analysis study. BMC Nephrol. 2023;24(1):284. DOI:10.1186/s12882-023-03338-4
8. Graversen ME, Dalgaard LS, Jensen-Fangel S et al. Risk and outcome of pyelonephritis among renal transplant recipients. BMC Infect Dis. 2016;16:264. DOI:10.1186/s12879-016-1608-x
9. Abbott KC, Swanson SJ, Richter ER et al. Late urinary tract infection after renal transplantation in the United States. Am J Kidney Dis. 2004;44(2):353-362. DOI:10.1053/j.ajkd.2004.04.040
10. Yakovlev SY, Zhuravleva MV, Protsenko DN et al. Antibiotic stewardship program for inpatient care. Clinical guidelines for Moscow hospitals. Consilium Medicum. 2017;19(7-1):15-51 (In Russian)
11. Singer M, Deutschman1 CS, Seymour CW et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016; 315(8): 801-810. DOI: 10.1001/jama.2016.0287.
12. Pelle G, Vimont S, Levy PP et al. Acute pyelonephritis represents a risk factor impairing long-term kidney graft function. Am J Transplant. 2007;7:899-907. DOI:10.1111/j.1600-6143.2006.01700.x
13. Giral M, Pascuariello G, Karam G et al. Acute graft pyelonephritis and long-term kidney allograft outcome. Kidney Int. 2002;61:1880-1886. DOI:10.1046/j.1523-1755.2002.00323.x
14. Wu X, Dong Y, Liu Y et al. The prevalence and predictive factors of urinary tract infection in patients undergoing renal transplantation: A meta-analysis. Am J Infect Control. 2016;44(11):1261-1268. DOI:10.1016/j.ajic.2016.04.222
15. Pacaud M, Colas L, Kerleau C et al. Impact of Late and Recurrent Acute Graft Pyelonephritis on Long-Term Kidney Graft Outcomes. Front Immunol. 2022;13:824425. DOI:10.3389/fimmu.2022.824425
16. Hamilton AD, Prætorius HA. Reduced graft survival in renal transplant patients with urinary tract infections – a metaanalysis. Dan Med J. 2024;71(2):A06230424 . DOI:10.61409/A06230424
17. Badrouchi S, Bacha MM, Ahmed A et al. Predicting longterm outcomes of kidney transplantation in the era of artificial intelligence. Sci Rep. 2023;13(1):21273. DOI:10.1038/s41598-023-48645-w
18. Lin RS, Horn SD, Hurdle JF et al. Single and multiple time-point prediction models in kidney transplant outcomes. J Biomed Inform. 2008;41(6):944-952. DOI:10.1016/j.jbi.2008.03.005
Supplementary files
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1. Table S1. Clinical and demographic characteristics of patients included in the study | |
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2. Table S2. Drug therapy in patients included in the study | |
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For citations:
Andreev S.S., Trushkin R.N., Isaev T.K., Artyukhina L.Yu., Frolova N.F., Ilyukhina N.N., Narusova P.O., Abdullaev Sh.P., Dushkin A.D., Lysenko M.A., Zhuravleva M.V. Factors associated with transplantectomy in patients hospitalized with renal allograft pyelonephritis: a single-center observational study. Nephrology and Dialysis. 2025;27(2):167-176. (In Russ.) https://doi.org/10.28996/2618-9801-2025-2-167-176