Literature DB >> 29587531

Learning Curves and Timing of Surgical Trials: Robotic Kidney Transplantation with Regional Hypothermia.

Rajesh K Ahlawat1, Volkan Tugcu2, Sohrab Arora3, Philip Wong3, Akshay Sood3, Wooju Jeong3, Mahendra Bhandari3, Mani Menon3.   

Abstract

PURPOSE: Outcomes of surgical procedures can be affected by multiple factors including surgical skill and learning curve (LC). These factors need to be considered for optimal timing of surgical trials. We used the LC cumulative summation (CUSUM) method to describe the number of cases associated with competency of a single surgeon learning the technique of robotic kidney transplantation (RKT).
METHODS: Thirty-three patients underwent Vattikuti Urology Institute technique of RKT at a center that recently adopted this procedure (study group). Anastomoses times and short-term functional outcomes were compared with an established RKT program (reference group). LCs were evaluated using CUSUM analysis using target values from the reference group.
RESULTS: Mean ± standard deviation for console time, rewarming time (RWT), arterial anastomosis, venous anastomosis, and ureterovesical anastomosis times for the study group was 187 ± 34.6 minutes, 58.03 ± 17.81 minutes, 19.36 ± 5.91 minutes, 21.97 ± 6.78 minutes, and 22.55 ± 4.24 minutes, respectively, significantly longer than reference group (p < 0.001 for all). Mean ± standard deviation for serum creatinine at discharge and 1 month in the study group was 1.43 ± 0.57 mg/dL and 1.23 ± 0.35 mg/dL, respectively, similar to the reference group (p = 0.074 at discharge and p = 0.163 at 1 month). The LC was short, with competence achieved for RWT within 9, proficiency within 16, and mastery within 21 cases. Longer anastomosis times during the LC did not affect graft function.
CONCLUSIONS: The LC of RKT is short, with improving skill up to 20-25 cases. The procedure is reproducible by surgeons experienced with open transplant and robotic surgery for other procedures, with comparable outcomes and low complication rates at a new center during adoption.

Entities:  

Keywords:  kidney transplantation; learning curves; robotic kidney transplantation; robotic surgery; timing of surgical trials

Mesh:

Substances:

Year:  2018        PMID: 29587531     DOI: 10.1089/end.2017.0697

Source DB:  PubMed          Journal:  J Endourol        ISSN: 0892-7790            Impact factor:   2.942


  7 in total

1.  Minimally invasive robotic versus conventional open living donor kidney transplantation.

Authors:  Ulrich Pein; Matthias Girndt; Silke Markau; Annekathrin Fritz; Alberto Breda; Michael Stöckle; Nasreldin Mohammed; Felix Kawan; Andre Schumann; Paolo Fornara; Karl Weigand
Journal:  World J Urol       Date:  2019-05-24       Impact factor: 4.226

Review 2.  Living Donor Robot-Assisted Kidney Transplantation: a New Standard of Care?

Authors:  Andrea Gallioli; Juan Gómez Rivas; Alessandro Larcher; Alberto Breda
Journal:  Curr Urol Rep       Date:  2021-12-16       Impact factor: 3.092

3.  The first robotic kidney transplantation in Korea: a case report.

Authors:  Hyun Jeong Kim; Seok Jeong Yang; Wooju Jeong; Juhan Lee; Joon Chae Na; Woong Kyu Han; Kyu Ha Huh
Journal:  Korean J Transplant       Date:  2022-03-31

Review 4.  Robot-assisted kidney transplantation: an update.

Authors:  Harry V M Spiers; Videha Sharma; Alexander Woywodt; Rajesh Sivaprakasam; Titus Augustine
Journal:  Clin Kidney J       Date:  2021-11-15

Review 5.  Robot-assisted kidney transplantation: Is it getting ready for prime time?

Authors:  Vincenzo Li Marzi; Alessio Pecoraro; Maria Lucia Gallo; Leonardo Caroti; Adriano Peris; Graziano Vignolini; Sergio Serni; Riccardo Campi
Journal:  World J Transplant       Date:  2022-07-18

6.  Evaluation of the learning curve of pediatric kidney transplantation anesthesia

Authors:  Tümay Uludağ Yanaral; Pelin Karaaslan
Journal:  Turk J Med Sci       Date:  2021-06-28       Impact factor: 0.973

7.  Results and Lessons Learned on Robotic Assisted Kidney Transplantation.

Authors:  Mireia Musquera; Lluis Peri; Tarek Ajami; Ignacio Revuelta; Laura Izquierdo; Claudia Mercader; Alba Sierra; Fritz Diekmann; Maurizio D'Anna; Concepción Monsalve; Antonio Alcaraz
Journal:  Biomed Res Int       Date:  2020-09-02       Impact factor: 3.411

  7 in total

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