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Evaluation of safety is of paramount importance with adoption of novel surgical technology. Although robotic surgery has become widely used in oncologic surgery, analysis of safety is lacking in comparison to traditional techniques. Standardized assessment of robotic surgical outcomes and adverse events following oncologic surgery is necessary for quality improvement with innovative technology. Between 2003 and 2016, 10,013 unique robotic operations were performed in 9,858 patients. Our prospectively maintained database was retrospectively reviewed for hospital readmissions and Clavien–Dindo grade ≥ 2 complications within 30 days. Multivariable logistic regression was used to identify predictors of surgical complications and hospital readmissions. Cases were stratified by discipline: genitourinary (n = 8240), gynecologic (n = 857), thoracic (n = 457), gastrointestinal (n = 322), hepatobiliary (n = 60), ear/nose/throat (n = 44) and general (n = 33). Intraoperative complications occurred in 42 surgeries (0.4%). Postoperative complications occurred in 946 patients [9.4%, highest grade 2 (n = 574), 3 (n = 288), 4 (n = 72), 5 (n = 10)]. Most frequent complications were ileus (154, 16.3%), anemia (91, 9.6%), cardiac arrhythmia (62, 6.6%), deep vein thrombosis/pulmonary embolus (47, 5.0%), wound infection (45, 4.8%) and urinary leak (43, 4.5%). 405 patients (4.0%) required readmission. Most common causes for hospital readmission were ileus (44, 10.9%), urinary leak (23, 5.7%), urinary tract infection (23, 5.7%), intra-abdominal abscess/fluid collection (23, 5.7%), and small bowel obstruction (19, 4.7%). On multivariable analysis, longer operative time and older age predicted complications and readmissions (p ≤ 0.02). Robotic-assisted surgery appears a safe for oncologic surgery with acceptable hospital readmission and complication rates. Older age and longer operative time were associated with complications and readmission.

Evaluation of safety is of paramount importance with adoption of novel surgical technology. Although robotic surgery has become widely used in oncologic surgery, analysis of safety is lacking in comparison to traditional techniques. Standardized assessment of robotic surgical outcomes and adverse events following oncologic surgery is necessary for quality improvement with innovative technology. Between 2003 and 2016, 10,013 unique robotic operations were performed in 9,858 patients. Our prospectively maintained database was retrospectively reviewed for hospital readmissions and Clavien-Dindo grade ≥ 2 complications within 30 days. Multivariable logistic regression was used to identify predictors of surgical complications and hospital readmissions. Cases were stratified by discipline: genitourinary (n = 8240), gynecologic (n = 857), thoracic (n = 457), gastrointestinal (n = 322), hepatobiliary (n = 60), ear/nose/throat (n = 44) and general (n = 33). Intraoperative complications occurred in 42 surgeries (0.4%). Postoperative complications occurred in 946 patients [9.4%, highest grade 2 (n = 574), 3 (n = 288), 4 (n = 72), 5 (n = 10)]. Most frequent complications were ileus (154, 16.3%), anemia (91, 9.6%), cardiac arrhythmia (62, 6.6%), deep vein thrombosis/pulmonary embolus (47, 5.0%), wound infection (45, 4.8%) and urinary leak (43, 4.5%). 405 patients (4.0%) required readmission. Most common causes for hospital readmission were ileus (44, 10.9%), urinary leak (23, 5.7%), urinary tract infection (23, 5.7%), intra-abdominal abscess/fluid collection (23, 5.7%), and small bowel obstruction (19, 4.7%). On multivariable analysis, longer operative time and older age predicted complications and readmissions (p ≤ 0.02). Robotic-assisted surgery appears a safe for oncologic surgery with acceptable hospital readmission and complication rates. Older age and longer operative time were associated with complications and readmission.

Optimal management of node-positive prostate cancer patients after prostatectomy remains a challenge. We evaluated clinically localized patients who demonstrated node positivity and identified predictors for secondary treatment. From 2010 to 2015, clinically localized prostate cancer patients who underwent robot prostatectomy with extended lymphadenectomy and node-positive disease on pathologic analysis were identified. Clinical N1, M1 or salvage cases were excluded. Patients were stratified based on secondary treatments. Kaplan–Meier method was used to determine the time to biochemical and metastatic recurrence. Multivariate logistic regression was used to identify predictors for additional treatment. 145 patients (45 no additional therapy, 47 adjuvant, 53 salvage) had a median follow-up of 31.2 months. Salvage patients had higher median pre-operative prostate-specific antigen (10.8 vs. 9.7 vs. 8.2, p = 0.1), higher percentage of pathologic Gleason ≥8 (50.9 vs. 38.3% and 22.2%, p