Literature DB >> 21555102

Predictors of costs for robotic-assisted laparoscopic radical prostatectomy.

Christian Bolenz1, Amit Gupta, Claus G Roehrborn, Yair Lotan.   

Abstract

OBJECTIVES: Information on the association of perioperative parameters with costs for robotic-assisted laparoscopic radical prostatectomy (RALP) is lacking. Understanding factors that impact cost may allow reduction in cost of prostate cancer care. We identified factors associated with higher costs in a contemporary series of RALP.
MATERIALS AND METHODS: Total direct cost and clinicopathologic data were available for 264 patients who underwent RALP at our institution between May 2005 and April 2008. We performed linear regression analyses to identify predictors of direct cost using preoperative, intraoperative, and postoperative variables.
RESULTS: On univariable analyses, operating room (OR) time, placement of a pelvic drain (both P<0.001), complications during surgery (P=0.002) or hospitalization, blood transfusion, and length of stay (all P<0.001) were associated with higher direct costs. On multivariable analysis, none of the preoperative features were found to predict direct costs. Of the intraoperative factors, OR time (P<0.001) and pelvic drain placement (P=0.006) were associated with higher direct costs. A longer OR time, length of stay, and usage of transfusions (all P<0.001) during the postoperative course were independently associated with higher direct costs.
CONCLUSIONS: Of factors that are available preoperatively, none seems to be useful to predict added costs for individual patients undergoing RALP. Higher costs for RALP are driven by events occurring during the procedure or postoperative hospital stay.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21555102     DOI: 10.1016/j.urolonc.2011.01.016

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  5 in total

1.  Regional differences in total hospital charges between open and robotically assisted radical prostatectomy in the United States.

Authors:  Felix Preisser; Sebastiano Nazzani; Elio Mazzone; Sophie Knipper; Marco Bandini; Zhe Tian; Alexander Haese; Fred Saad; Kevin C Zorn; Francesco Montorsi; Shahrokh F Shariat; Markus Graefen; Derya Tilki; Pierre I Karakiewicz
Journal:  World J Urol       Date:  2018-10-12       Impact factor: 4.226

2.  Patient comorbidity predicts hospital length of stay after robot-assisted prostatectomy.

Authors:  Aaron M Potretzke; Eric H Kim; Brent A Knight; Barrett G Anderson; Alyssa M Park; R Sherburne Figenshau; Sam B Bhayani
Journal:  J Robot Surg       Date:  2016-04-15

3.  Regional Cost Variations of Robot-Assisted Radical Prostatectomy Compared With Open Radical Prostatectomy.

Authors:  Izak Faiena; Viktor Y Dombrovskiy; Parth K Modi; Neal Patel; Rutveej Patel; Amirali H Salmasi; Jaspreet S Parihar; Eric A Singer; Isaac Y Kim
Journal:  Clin Genitourin Cancer       Date:  2015-05-28       Impact factor: 2.872

4.  Independent predictors of prolonged operative time during robotic-assisted radical prostatectomy.

Authors:  Philippe D Violette; David Mikhail; Gregory R Pond; Stephen E Pautler
Journal:  J Robot Surg       Date:  2015-02-12

5.  Pre- and intra-operative predictors of postoperative hospital length of stay in patients undergoing radical prostatectomy for prostate cancer in China: a retrospective observational study.

Authors:  Qingmei Huang; Ping Jiang; Lina Feng; Liping Xie; Shuo Wang; Dan Xia; Baihua Shen; Baiye Jin; Li Zheng; Wei Wang
Journal:  BMC Urol       Date:  2018-05-18       Impact factor: 2.264

  5 in total

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