Literature DB >> 29284123

Conversion of Robot-assisted Partial Nephrectomy to Radical Nephrectomy: A Prospective Multi-institutional Study.

Sohrab Arora1, Brian Chun2, Rajesh K Ahlawat3, Ronney Abaza4, James Adshead5, James R Porter6, Benjamin Challacombe7, Prokar Dasgupta7, Giorgio Gandaglia8, Daniel A Moon9, Thyavihally B Yuvaraja10, Umberto Capitanio8, Alessandro Larcher8, Francesco Porpiglia11, Alexander Mottrie12, Mahendra Bhandari2, Craig Rogers2.   

Abstract

OBJECTIVE: To assess the incidence and factors affecting conversion from robot-assisted partial nephrectomy (RAPN) to radical nephrectomy.
METHODS: Between November 2014 and February 2017, 501 patients underwent attempted RAPN by 22 surgeons at 14 centers in 9 countries within the Vattikuti Collaborative Quality Initiative database. Patients were permanently logged for RAPN prior to surgery and were analyzed on an intention-to-treat basis. Multivariable logistic regression with backward stepwise selection of variables was done to assess the factors associated with conversion to radical nephrectomy.
RESULTS: Overall conversion rate was 25 of 501 (5%). Patients converted to radical nephrectomy were older (median age [interquartile range] 66.0 [61.0-74.0] vs 59.0 [50.0-68.0], P = .012), had higher body mass index (BMI) (median 32.8 [24.9-40.9] vs 27.8 [24.6-31.5] kg/m2, P = .031), higher age-adjusted Charlson comorbidity score (median 6.0 [4.0-7.0] vs 4.0 [3.0-5.0], P <.001), higher American Society of Anesthesiologists score (score ≥3; 13/25 (52.0%) vs 130/476 (27.3%), P = .021), Preoperative estimated glomerular filtration rate (P = .141), clinical tumor stage (P = .145), tumor location (P = .140), multifocality (P = .483), and RENAL (radius, exophytic/endophytic properties, nearness of tumor to the collecting system or sinus in millimeters, and anterior/posterior location relative to polar lines) nephrometry score (P = .125) were not significantly different between the groups. On multivariable analysis, independent predictors for conversion were BMI (odds ratio [95% confidence interval]; 1.070 [1.018-1.124]; P = .007) and Charlson score (odds ratio [95% confidence interval]; 1.459 [1.179-1.806]; P = .001).
CONCLUSION: RAPN was associated with a low rate of conversion. Independent predictors of conversion were BMI and Charlson score. Tumor factors such as clinical stage, location, multifocality, or RENAL score were not associated with increased risk of conversion.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29284123     DOI: 10.1016/j.urology.2017.11.046

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  5 in total

1.  The use of nephrometry scoring systems can help urologists predict the risk of conversion to radical nephrectomy in patients scheduled for partial nephrectomy.

Authors:  Vincenzo Ficarra; Marta Rossanese; Gianluca Giannarini; Alessandro Crestani; Alchiede Simonato; Antonino Inferrera
Journal:  Ann Transl Med       Date:  2019-09

2.  Are nephrometry scores enough to select patients really fit for nephron sparing surgery?

Authors:  Francesco Porpiglia; Daniele Amparore; Angela Pecoraro; Enrico Checcucci
Journal:  Ann Transl Med       Date:  2019-09

3.  The Influence of Prior Abdominal Surgery on Robot-Assisted Partial Nephrectomy.

Authors:  Tetsuya Yumioka; Masashi Honda; Shogo Teraoka; Yusuke Kimura; Hideto Iwamoto; Shuichi Morizane; Katsuya Hikita; Atsushi Takenaka
Journal:  Yonago Acta Med       Date:  2021-05-10       Impact factor: 1.641

4.  A comparative analysis of various surgical approaches of nephron-sparing surgery and correlation of histopathological grade with RENAL nephrometry score in renal cell carcinoma.

Authors:  Harshit Garg; Deviprasad Tiwari; Brusabhanu Nayak; Prabhjot Singh; Siddharth Yadav; Rajeev Kumar; Amlesh Seth; Rishi Nayyar; Premnath Dogra
Journal:  J Minim Access Surg       Date:  2019-02-18       Impact factor: 1.407

5.  Factors Affecting Robotic Partial Nephrectomy Conversion to Radical Nephrectomy: A Retrospective Multi-Institutional Analysis in the Michigan Urologic Surgery Improvement Collaborative (MUSIC).

Authors:  Benjamin Goldman; Michael Rudoff; Ji Qi; David Wenzler
Journal:  Cureus       Date:  2021-12-17
  5 in total

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