Skip to main content
Log in

Prospective comparative study of postoperative systemic inflammatory syndrome in robot-assisted vs. open kidney transplantation

  • Topic Paper
  • Published:
World Journal of Urology Aims and scope Submit manuscript

Abstract

Purpose

Robot-assisted kidney transplant (RAKT) recently proved to provide functional results similar to the preferred open kidney transplant (OKT), but with inferior wound morbidity. In a comparative prospective study, we explored the systemic inflammatory response syndrome (SIRS) after KT and compared OKT with RAKT.

Methods

Forty-nine patients underwent pre-emptive ABO-compatible kidney transplantations (KT) between January 2017 and December 2018 in 2 centers: 25 RAKT, 24 OKT. Postoperative SIRS was biologically assessed by serum markers (NGAL, CRP and IL-6) measured at: T0 (preoperative/baseline), T1(H1), T2(H6), T3(H12), T4(H24), T5(D2), T6(D3) and T7(D5) after KT.

Results

Inflammatory markers + eGFR were assessed in OKT vs. RAKT. IL-6 peak value occurred at H6 and reached ×9 from baseline. CRP peak occurred at H24 and reached ×28 from baseline (All P < 0.05). NGAL decreased after surgery with a plateau (divided by 2 from baseline) from H12 to D5. There was no significant difference in IL-6, CRP and NGAL kinetics and peak values between RAKT and OKT (All P > 0.05). Serum creatinine and eGFR on postoperative days 1, 3 and 7 were similar in RAKT and OKT (All P > 0.05). Delayed graft function was not observed.

Conclusion

In this exploratory study, the biological evaluation of postoperative SIRS after living-donor kidney transplant revealed no significant difference between OKT and RAKT and similar functional outcomes in the short term. These results highlight the safety of RAKT as an alternative to OKT in this setting.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Abbreviations

KT:

Kidney transplantation

RAKT:

Robot-assisted kidney transplantation

OKT:

Open kidney transplantation

SIRS:

Systemic inflammatory response syndrome

NGAL:

Neutrophil gelatinase-associated lipocalin

CRP:

C-reactive protein

IL-6:

Interleukin 6

eGFR:

Estimated glomerular filtration rate

EDTA:

Ethylene diamine tetra-acetic acid

CARS:

Compensatory anti-inflammatory response syndrome

MODS:

Multiple organ dysfunction syndrome

References

  1. Rodríguez Faba O, Boissier R, Budde K, Figueiredo A, Taylor CF, Hevia V et al (2018) European Association of Urology guidelines on renal transplantation: update 2018. Eur Urol Focus 4(2):208–215

    Article  Google Scholar 

  2. Giulianotti P, Gorodner V, Sbrana F, Tzvetanov I, Jeon H, Bianco F et al (2010) Robotic transabdominal kidney transplantation in a morbidly obese patient. Am J Transplant 10(6):1478–1482

    Article  CAS  Google Scholar 

  3. Menon M, Abaza R, Sood A, Ahlawat R, Ghani KR, Jeong W et al (2014) Robotic kidney transplantation with regional hypothermia: evolution of a novel procedure utilizing the IDEAL guidelines (IDEAL phase 0 and 1). Eur Urol 65(5):1001–1009

    Article  Google Scholar 

  4. Breda A, Gausa L, Territo A, López-Martínez JM, Rodríguez-Faba O, Caffaratti J et al (2016) Robotic-assisted kidney transplantation: our first case. World J Urol 34(3):443–447

    Article  CAS  Google Scholar 

  5. Musquera M, Peri L, Ajami T, Campi R, Tugcu V, Decaestecker K et al (2021) Robot-assisted kidney transplantation: update from the European Robotic Urology Section (ERUS) series. BJU Int 127(2):222–228

    Article  Google Scholar 

  6. Territo A, Gausa L, Alcaraz A, Musquera M, Doumerc N, Decaestecker K et al (2018) European experience of robot-assisted kidney transplantation: minimum of 1 year follow-up. BJU Int. https://doi.org/10.1111/bju.14247

    Article  PubMed  Google Scholar 

  7. Arias J-I, Aller M-A, Arias J (2009) Surgical inflammation: a pathophysiological rainbow. J Transl Med 7(1):19

    Article  Google Scholar 

  8. Gallioli A, Territo A, Boissier R, Campi R, Vignolini G, Musquera M et al (2020) Learning curve in robot-assisted kidney transplantation: results from the European Robotic Urological Society Working Group. Eur Urol. https://doi.org/10.1016/S2666-1683(20)34238-5

    Article  PubMed  Google Scholar 

  9. Malyszko J, Lukaszyk E, Glowinska I, Durlik M (2015) Biomarkers of delayed graft function as a form of acute kidney injury in kidney transplantation. Sci Rep 5(1):11684

    Article  CAS  Google Scholar 

  10. Watt DG, Horgan PG, McMillan DC (2015) Routine clinical markers of the magnitude of the systemic inflammatory response after elective operation: a systematic review. Surgery 157(2):362–380

    Article  Google Scholar 

  11. Singer E, Markó L, Paragas N, Barasch J, Dragun D, Müller DN et al (2013) Neutrophil gelatinase-associated lipocalin: pathophysiology and clinical applications. Acta Physiol Oxf Engl 207(4):663–672

    Article  CAS  Google Scholar 

  12. Shang W, Wang Z (2017) The update of NGAL in acute kidney injury. Curr Protein Pept Sci 18(12):1211–1217

    Article  CAS  Google Scholar 

  13. Ramirez-Sandoval JC, Herrington W, Morales-Buenrostro LE (2015) Neutrophil gelatinase-associated lipocalin in kidney transplantation: a review. Transplant Rev 29(3):139–144

    Article  Google Scholar 

  14. Liu Y, Li H-X, Ying Z-W, Guo J-J, Cao C-Y, Jia W et al (2016) Serum neutrophil gelatinase-associated lipocalin and cystatin C for assessing recovery of graft function in patients undergoing living-donor kidney transplantation. Clin Lab 62(1–2):155–163

    CAS  PubMed  Google Scholar 

  15. Fornara P, Doehn C, Seyfarth M, Jocham D (2000) Why is urological laparoscopy minimally invasive? Eur Urol 37(3):241–250

    Article  CAS  Google Scholar 

  16. Prudhomme T, Beauval JB, Lesourd M, Roumiguié M, Decaestecker K, Vignolini G et al (2020) Robotic-assisted kidney transplantation in obese recipients compared to non-obese recipients: the European experience. World J Urol. https://doi.org/10.1016/S2666-1683(20)33559-X

    Article  PubMed  Google Scholar 

  17. Doumerc N, Roumiguie M, Beauval JB, Soulie M, Rischmann P, Kamar N et al (2017) Robotic kidney transplantation for morbidly obese patients excluded from traditional transplantation. Obes Surg 27(4):1056–1057

    Article  CAS  Google Scholar 

  18. Tzvetanov IG, Spaggiari M, Tulla KA, Di Bella C, Okoye O, Di Cocco P et al (2020) Robotic kidney transplantation in the obese patient: 10 year experience from a single center. Am J Transplant 20(2):430–440

    Article  Google Scholar 

  19. Abedini S, Holme I, März W, Weihrauch G, Fellström B, Jardine A et al (2009) Inflammation in renal transplantation. Clin J Am Soc Nephrol 4(7):1246–1254

    Article  Google Scholar 

  20. Cueto-Manzano AM, Morales-Buenrostro LE, González-Espinoza L, González-Tableros N, Martín-del-Campo F, Correa-Rotter R et al (2005) Markers of inflammation before and after renal transplantation. Transplantation 80(1):47–51

    Article  CAS  Google Scholar 

  21. Kwan T, Wu H, Chadban SJ (2014) Macrophages in renal transplantation: Roles and therapeutic implications. Cell Immunol 291(1–2):58–64

    Article  CAS  Google Scholar 

  22. Gu L, Tao Y, Chen C, Ye Y, Xiong X, Sun Y (2018) Initiation of the inflammatory response after renal ischemia/reperfusion injury during renal transplantation. Int Urol Nephrol 50(11):2027–2035

    Article  CAS  Google Scholar 

  23. Fung A, Zhao H, Yang B, Lian Q, Ma D (2016) Ischaemic and inflammatory injury in renal graft from brain death donation: an update review. J Anesth 30(2):307–316

    Article  Google Scholar 

  24. Stone JP, Mohamud M, Amin K, Critchley WR, Edge RJ, Clancy MJ et al (2017) Characterizing the early inflammatory contribution of the donor kidney following reperfusion. Nephrol Dial Transplan 32(9):1487–1492

    Article  CAS  Google Scholar 

  25. Guillén-Gómez E, Dasilva I, Silva I, Arce Y, Facundo C, Ars E et al (2017) Early macrophage infiltration and sustained inflammation in kidneys from deceased donors are associated with long-term renal function. Am J Transplant 17(3):733–743

    Article  Google Scholar 

  26. Sato N, Koeda K, Ikeda K, Kimura Y, Aoki K, Iwaya T et al (2002) Randomized study of the benefits of preoperative corticosteroid administration on the postoperative morbidity and cytokine response in patients undergoing surgery for esophageal cancer. Ann Surg 236(2):184–190

    Article  Google Scholar 

  27. Lowrie EG, Lew NL (1992) Commonly measured laboratory variables in hemodialysis patients: relationships among them and to death risk. Semin Nephrol 12(3):276–283

    CAS  PubMed  Google Scholar 

  28. Stenvinkel P, Heimbürger O, Paultre F, Diczfalusy U, Wang T, Berglund L et al (1999) Strong association between malnutrition, inflammation, and atherosclerosis in chronic renal failure. Kidney Int 55(5):1899–1911

    Article  CAS  Google Scholar 

  29. Vignolini G, Campi R, Sessa F, Greco I, Larti A, Giancane S et al (2019) Development of a robot-assisted kidney transplantation programme from deceased donors in a referral academic centre: technical nuances and preliminary results. BJU Int 123(3):474–484

    Article  Google Scholar 

Download references

Acknowledgements

We are grateful to Dr. S. Mateu (clinical research coordinator at Fundaciò Puigvert) for institutional review board approval and the European Association of Urology Scholarship Program (EUSP) to support this study.

Funding

Angelo Territo, Federica Regis and Romain Boissier received grants from the European Urology Scholarship Program (EUSP) for 1 year scholarships, respectively, from December 2016 to December 2017, January 2018 to December 2018, and September 2018 to August 2019, at Fundació Puigvert (Barcelona, Spain) where this study was conducted.

Author information

Authors and Affiliations

Authors

Contributions

AT, RB and AB had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: AT, AB. Acquisition of data: RB, AT, JDS, GT, LG, FR, AG, NM, PF, LG. Analysis and interpretation of data: RB, AT JDS, Theil, IM, LG, Mohammed. Drafting of the manuscript: RB, AT, JDS, AB. Critical revision of the manuscript for important intellectual content: AB. Statistical analysis: RB, JDS. Funding: EAU Scholarship Program Grants. Administrative, technical, or material support: PF, LG, AB. Supervision: PF, AB.

Corresponding author

Correspondence to Romain Boissier.

Ethics declarations

Conflict of interest

All authors certify that all conflicts of interest, including specific financial interests and relationships and affiliations relevant to the subject matter or materials discussed in the manuscript (e.g., employment/affiliation, grants or funding, consultancies, honoraria, stock ownership or options, expert testimony, royalties, or patents filed, received, or pending), are the following: None.

Research involving human participants and/or animals

The study adhered to the tenets of the Declaration of Helsinki. The study was approved by the ethics committee of Fundació Puigvert. The study also guaranteed compliance at all times with Law 15/1999 for the Protection of Personal Data (Spanish Government).

Informed consent

Informed consent was obtained from all patients prior to inclusion in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Territo, A., Boissier, R., Subiela, J.D. et al. Prospective comparative study of postoperative systemic inflammatory syndrome in robot-assisted vs. open kidney transplantation. World J Urol 40, 2153–2159 (2022). https://doi.org/10.1007/s00345-021-03836-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00345-021-03836-w

Keywords

Navigation