Abstract
Objective: To evaluate perioperative morbidity and mortality rate, a 3-year recurrence-free survival, and cancerspecific mortality rate in patients older than 80 years undergoing robot-assisted radical cystectomy (RARC). Materials and Methods: We retrospectively collected data of 155 consecutive patients who received RARC for muscle-invasive or high-risk nonmuscle-invasive urothelial carcinoma of the bladder between 2003 and 2014 at a high-volume robotic center. Diversion was performed intra-or extracorporeally according to the surgeon's preferences. Complications were graded according to the Clavien-Dindo system. Logistic regression analyses were used to assess the impact of age on postoperative outcomes. Results: Of 155 consecutive patients, 22 (14.2%) patients were 80 years or older. Octogenarians did not significantly differ from younger patients in ASA score (p = 0.4) and Charlson comorbidity index (p = 0.4). Prevalence of any grade and high-grade complications was similar in both groups (all p <= 0.6). Older patients had a significantly higher pathologic tumor grade (p = 0.04) and a lower use of pelvic lymphadenectomy (p < 0.001). No perioperative mortality rate was recorded within 90 days from surgery. Elderly patients had a similar risk of 3-year oncologic recurrence after surgery compared with their younger counterparts (odds ratio [OR] 1.63;p = 0.2). Conversely, the risk of cancer-specific mortality rate was significantly higher (OR 2.78;p = 0.02). Conclusions: Patients 80 years or older undergoing RARC for bladder cancer did not have a higher risk of periand postoperative morbidity and mortality rate and had a similar 3-year recurrence-free survival, suggesting that RARC can be safely performed in selected elderly patients by experienced surgeons.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 0892-7790 |
Sprache: | Englisch |
Dokumenten ID: | 45126 |
Datum der Veröffentlichung auf Open Access LMU: | 27. Apr. 2018, 08:08 |
Letzte Änderungen: | 04. Nov. 2020, 13:21 |