Literature DB >> 22544340

Prediction of perioperative outcomes following minimally invasive partial nephrectomy: role of the R.E.N.A.L nephrometry score.

Zhuo-Wei Liu1, Ephrem O Olweny, Gang Yin, Stephen Faddegon, Yung K Tan, Woong Kyu Han, Jeffrey A Cadeddu.   

Abstract

OBJECTIVES: Objective characterization of renal mass anatomy facilitates treatment selection and prediction of surgical outcomes. We investigated R.E.N.A.L nephrometry score (NS) efficacy in predicting outcomes after minimally invasive nephron-sparing surgery (MINSS).
METHODS: A total of 250 patients with 252 renal masses underwent MINSS by a surgeon between January 2003 and July 2011. Preoperative films were available for 181 (72 %) renal masses, which were retrospectively assigned a NS. NS was categorized as low, moderate or high, reflecting tumor complexity. Perioperative outcomes were analyzed by NS category. Outcomes for laparoscopic (LPN) versus robotic (RALPN) partial nephrectomy were compared. Multivariable regression was used to investigate predictors of postoperative complications.
RESULTS: Among 181 renal masses, 128 (71 %) were managed by LPN and 53 were (29 %) by RALPN. And 103, 74 and 4 renal lesions were low, medium and high complexity, respectively. For low versus medium versus high NS, respective overall complication rate was 5.8 versus 16.0 versus 50.0 % (p = 0.01); mean warm ischemia time (WIT) was 29 versus 33 versus 39 min (p = 0.02); and transfusion rate was 5/103 (4.8 %) versus 6/74 (8.1 %) versus 1/4 (25 %) (p = 0.20). NS category was significantly associated with overall complication rate (p = 0.04) and Clavien grade III complication rate (p = 0.05). Nearness to the collecting system ("N") was significantly associated with overall complications (p = 0.02) and postoperative hemorrhage (p = 0.02). Postoperative outcomes for LPN versus RALPN were statistically similar across all categories.
CONCLUSIONS: R.E.N.A.L NS is predictive of overall complications and WIT during MINSS. Our data also suggest that "N" score may be used as a single predictor of overall complications and postoperative hemorrhage following MINSS.

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Year:  2012        PMID: 22544340     DOI: 10.1007/s00345-012-0876-3

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  30 in total

Review 1.  Mechanisms of renal ischaemic injury and their clinical impact.

Authors:  Ithaar H Derweesh; Andrew C Novick
Journal:  BJU Int       Date:  2005-05       Impact factor: 5.588

2.  Preoperative radiographic parameters predict long-term renal impairment following partial nephrectomy.

Authors:  Eugene K Cha; Casey K Ng; Bryan Jeun; Allison Dunning; Jennifer E Reifsnyder; James R DiPietro; Madhu Mazumdar; George Shih; Yong H Auh; Joseph J Del Pizzo; Shahrokh F Shariat; Douglas S Scherr
Journal:  World J Urol       Date:  2011-05-21       Impact factor: 4.226

3.  Objective measures of renal mass anatomic complexity predict rates of major complications following partial nephrectomy.

Authors:  Jay Simhan; Marc C Smaldone; Kevin J Tsai; Daniel J Canter; Tianyu Li; Alexander Kutikov; Rosalia Viterbo; David Y T Chen; Richard E Greenberg; Robert G Uzzo
Journal:  Eur Urol       Date:  2011-05-25       Impact factor: 20.096

4.  Does nephrometry scoring of renal tumors predict outcomes in patients selected for robot-assisted partial nephrectomy?

Authors:  Patrick W Mufarrij; L Spencer Krane; Srinivas Rajamahanty; Ashok K Hemal
Journal:  J Endourol       Date:  2011-08-18       Impact factor: 2.942

5.  Anatomic features of enhancing renal masses predict malignant and high-grade pathology: a preoperative nomogram using the RENAL Nephrometry score.

Authors:  Alexander Kutikov; Marc C Smaldone; Brian L Egleston; Brandon J Manley; Daniel J Canter; Jay Simhan; Stephen A Boorjian; Rosalia Viterbo; David Y T Chen; Richard E Greenberg; Robert G Uzzo
Journal:  Eur Urol       Date:  2011-04-01       Impact factor: 20.096

6.  The impact of warm ischaemia on renal function after laparoscopic partial nephrectomy.

Authors:  Mihir M Desai; Inderbir S Gill; Anup P Ramani; Massimiliano Spaliviero; Lisa Rybicki; Jihad H Kaouk
Journal:  BJU Int       Date:  2005-02       Impact factor: 5.588

7.  Interobserver reliability of the RENAL nephrometry scoring system.

Authors:  Surendra B Kolla; Philippe E Spiess; Wade J Sexton
Journal:  Urology       Date:  2011-07-22       Impact factor: 2.649

8.  Utility of the RENAL nephrometry scoring system in the real world: predicting surgeon operative preference and complication risk.

Authors:  Henry M Rosevear; Paul T Gellhaus; Andrew J Lightfoot; Timothy P Kresowik; Fadi N Joudi; Chad R Tracy
Journal:  BJU Int       Date:  2011-07-20       Impact factor: 5.588

9.  Robot-assisted partial nephrectomy: evaluation of learning curve for an experienced renal surgeon.

Authors:  Mohammed Haseebuddin; Brian M Benway; Jose M Cabello; Sam B Bhayani
Journal:  J Endourol       Date:  2010-01       Impact factor: 2.942

10.  Robot-assisted partial nephrectomy: a large single-institutional experience.

Authors:  Benjamin J Scoll; Robert G Uzzo; David Y T Chen; Stephen A Boorjian; Alexander Kutikov; Brandon J Manley; Rosalia Viterbo
Journal:  Urology       Date:  2010-01-18       Impact factor: 2.649

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  18 in total

Review 1.  Zero-ischemia minimally invasive partial nephrectomy.

Authors:  Giuseppe Simone; Mariaconsiglia Ferriero; Rocco Papalia; Manuela Costantini; Salvatore Guaglianone; Michele Gallucci
Journal:  Curr Urol Rep       Date:  2013-10       Impact factor: 3.092

2.  Association between R.E.N.A.L. nephrometry score and perioperative outcomes following open partial nephrectomy under cold ischemia.

Authors:  Dong Soo Park; Jin Ho Hwang; Moon Hyung Kang; Jong Jin Oh
Journal:  Can Urol Assoc J       Date:  2014 Mar-Apr       Impact factor: 1.862

3.  Usefulness of the diameter-axial-polar nephrometry score for predicting perioperative parameters in robotic partial nephrectomy.

Authors:  Young Eun Yoon; Kyung Hwa Choi; Kwang Suk Lee; Kwang Hyun Kim; Koon Ho Rha; Young Deuk Choi; Woong Kyu Han
Journal:  World J Urol       Date:  2014-08-20       Impact factor: 4.226

4.  Evaluation of the Clinical Use of Robot-Assisted Retroperitoneal Laparoscopy and Preoperative RENAL Scoring for Nephron Sparing Surgery in Renal Tumor Patients.

Authors:  Yu Xia; Gong-Xian Wang; Bin Fu; Wei-Peng Liu; Cheng Zhang; Xiao-Chen Zhou
Journal:  Indian J Surg       Date:  2016-12-26       Impact factor: 0.656

Review 5.  A Literature Review of Renal Surgical Anatomy and Surgical Strategies for Partial Nephrectomy.

Authors:  Tobias Klatte; Vincenzo Ficarra; Christian Gratzke; Jihad Kaouk; Alexander Kutikov; Veronica Macchi; Alexandre Mottrie; Francesco Porpiglia; James Porter; Craig G Rogers; Paul Russo; R Houston Thompson; Robert G Uzzo; Christopher G Wood; Inderbir S Gill
Journal:  Eur Urol       Date:  2015-04-22       Impact factor: 20.096

6.  Risk factors for postoperative hemorrhage after partial nephrectomy.

Authors:  Saebin Jung; Gyeong Eun Min; Benjamin I Chung; Seung Hyun Jeon
Journal:  Korean J Urol       Date:  2014-01-15

7.  Factors Influencing the Operative Approach to Renal Tumors: Analyses According to RENAL Nephrometry Scores.

Authors:  Jeong Hyun Oh; Hyun Yul Rhew; Taek Sang Kim
Journal:  Korean J Urol       Date:  2014-02-14

Review 8.  Perioperative complications of robot-assisted partial nephrectomy.

Authors:  Eric H Kim; Jeffrey A Larson; Michael Figenshau; R Sherburne Figenshau
Journal:  Curr Urol Rep       Date:  2014-01       Impact factor: 3.092

9.  Significant impact of R.E.N.A.L. nephrometry score on changes in postoperative renal function early after robot-assisted partial nephrectomy.

Authors:  Hideaki Miyake; Junya Furukawa; Nobuyuki Hinata; Mototsugu Muramaki; Kazushi Tanaka; Masato Fujisawa
Journal:  Int J Clin Oncol       Date:  2014-09-17       Impact factor: 3.402

10.  Multidetector CT imaging of complications after laparoscopic nephron-sparing surgery.

Authors:  Massimo Tonolini; Anna Maria Ierardi; Virginia Varca; Giacomo Piero Incarbone; Marina Petullà; Roberto Bianco
Journal:  Insights Imaging       Date:  2015-06-24
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