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Robotic-assisted laparoscopic radical cystectomy in the octogenarian

Authors :
John Talug
Clayton Lau
Stephen B. Williams
David Y. Josephson
Kevin Chan
Timothy G. Wilson
Nora Ruel
Source :
The International Journal of Medical Robotics and Computer Assisted Surgery. 8:247-252
Publication Year :
2012
Publisher :
Wiley, 2012.

Abstract

Background The advanced age and comorbidities often associated with bladder cancer patients creates a difficult scenario regarding further management. Robotic-assisted laparoscopic radical cystectomy (RALRC) has had favorable results as am inimally invasive treatment option. We studied perioperative outcomes of RALRC in octogenarians to discern if there is any added benefi ti n this patient population. Methods One hundred and sixty robotic cystectomies have been performed between October 2003 and June 2010. We identified 24 octogenarians who underwent RALRC and form the cohort of the study. Results Mean patient age was 84.7years and mean BMI was 24kg/m 2 . Most of the patients in the study had serious medical comorbidities, as 82.6% of them had an ASA classification ≥3 and 95.6% had Charlson scores ≥3. There was one open conversion and two patients had positive surgical margins. There were a total of 45 complications in the study, with 14 major complications observed in the 90-day period after surgery. There were five patients who had no complications, and two patients expired as a result of multiple organ failure. At 24months the overall, disease-free and disease-specific survivals were 51.1%, 64.3%, and 79%, respectively. The 90-day mortality rate was 8.7%. Conclusions Octogenarians undergoing RALRC have a significant risk of morbidity and mortality. The relationship between advanced age and oncologic outcomes or complications needs to be discerned further as it relates to the octogenarian. Further study is needed to delineate the safety and efficacy of this approach. Copyright © 2012 John Wiley & Sons, Ltd.

Details

ISSN :
14785951
Volume :
8
Database :
OpenAIRE
Journal :
The International Journal of Medical Robotics and Computer Assisted Surgery
Accession number :
edsair.doi...........cb18c243a31324b411864ed3e2aaa222
Full Text :
https://doi.org/10.1002/rcs.460