Robotic performance metrics model fellow proficiency in living donor nephrectomy.

We investigated the use of robotic objective performance metrics (OPM) to predict number of cases to proficiency and independence among abdominal transplant fellows performing robot-assisted donor nephrectomy (RDN). 101 RDNs were performed by 5 transplant fellows from September 2020 to October 2023. OPM included fellow percent active control time (%ACT) and handoff counts (HC). Proficiency was defined as ACT ≥ 80% and HC ≤ 2, and independence as ACT ≥ 99% and HC ≤ 1. Case number was significantly associated with increasing fellow %ACT, with proficiency estimated at 14 cases and independence at 32 cases (R2 = 0.56, p < 0.001). Similarly, case number was significantly associated with decreasing HC, with proficiency at 18 cases and independence at 33 cases (R2 = 0.29, p < 0.001). Case number was not associated with total active console time (p = 0.91). Patient demographics, operative characteristics, and outcomes were not associated with OPM, except for donor estimated blood loss (EBL), which positively correlated with HC. Abdominal transplant fellows demonstrated proficiency at 14-18 cases and independence at 32-33 cases. Total active console time remained unchanged, suggesting that increasing fellow autonomy does not impede operative efficiency. These findings may serve as a benchmark for training abdominal transplant surgery fellows independently and safely in RDN.

The impact of a dedicated operating room team on robotic transplant program growth and fellowship training.

INTRODUCTION: Despite considerable interest in robotic surgery, successful incorporation of robotics into transplant programs has been challenging. Lack of a dedicated OR team with expertise in both robotics and transplant is felt to be a major barrier. This paper assesses the impact of a dedicated robotic transplant team (DART) on program growth and fellowship training at one of the largest robotic transplant programs in North America. METHODS: This is a single center, retrospective review of all robotic operations performed on the transplant surgery service from October 2017 to October 2022. DART was incorporated in February 2020 and included transplant first assists (RFAs), scrub technologists and circulating nurses who received robotic training. Robotic experience before and after DART was compared to assess its impact on program growth and training. RESULTS: Four hundred and two robotic cases were performed by five transplant surgeons: 63 pre-DART and 339 post-DART. 40% of cases were transplant-related and 59.5%, HPB. There was a significant increase in case volume (2.5-10.6 cases/month, p < .0001) and complexity (36.5% vs. 70.3% high complexity cases, p < .0001) post-DART. RFA case coverage increased from 17% to 95%, and participation of transplant fellows as primary surgeons increased from 17% to 95% post-DART period (both p < .05). Conversion rates (9.5% vs. 4.1%) and room turn-around-times (TAT) (58.4 vs. 40.3 min) were lower post-DART (p < .05). There were no emergent conversions, conversions in transplant patients, or robot-related complications in either group. CONCLUSION: OR teams with expertise in robotics and transplant surgery can accelerate growth of robotic transplant programs while maintaining patient safety.

A novel assessment model for teaching robot-assisted living donor nephrectomy in abdominal transplant surgery fellowship.

BACKGROUND: An increasing number of transplant centers have adopted robot-assisted living donor nephrectomy. Thus, a transplant fellow assessment tool is needed for promoting operative independence in an objective and safe manner. METHODS: In this pilot study, data was prospectively collected on both fellow performance with focus on technique, efficiency, and communication ("overall RO-SCORE"), and operative steps ("operative steps RO-SCORE"). Robotic user performance metrics were analyzed from the da Vinci Xi system, including fellow percent active control time (ACT) and handoff counts. RESULTS: From July 2020 to February 2021, twenty-one robot-assisted donor nephrectomies were performed. In regression analysis, fellow performance (based on both RO-SCOREs and robot % ACT) was significantly associated with both time and case number, with time-to-independence modelled at 8.4-14.2 months, and case number-to-independence estimated at 15-22 cases. Robot user metrics provided valid objective measures alongside RO-SCOREs. CONCLUSIONS: This pilot study provides an effective assessment tool for promoting operative competency in robot-assisted donor nephrectomy among transplant fellows.

Understanding Disparities in Breast Cancer Care in Memphis, Tennessee.

Although significant progress has been made in improving breast cancer survival, disparities among racial, ethnic, and underserved groups still exist. The goal of this investigation is to quantify racial disparities in the context of breast cancer care, examining the outcomes of recurrence and mortality in the city of Memphis. Patients with a biopsy-proven diagnosis of breast cancer from January 1, 2002, through December 31, 2012, were obtained from the tumor registry. Black patients were more likely to have advanced (II, III, or IV) clinical stage of breast cancer at diagnosis versus white patients. Black breast cancer patients had a two times higher odds of recurrence (95% confidence interval: 1.4, 3.0) after adjusting for race and clinical stage. Black breast cancer patients were 1.5 times more likely to die (95% confidence interval: 1.2, 1.8), after adjusting for race; age at diagnosis; clinical stage; ER, PR, HER2 status; and recurrence. Black women with stages 0, I, II, and III breast cancer all had a statistically significant longer median time from diagnosis to surgery than white women. Black patients were more likely to have advanced clinical stages of breast cancer at diagnosis versus white patients on a citywide level in Memphis. Black breast cancer patients have higher odds of recurrence and mortality when compared with white breast cancer patients, after adjusting for appropriate demographic and clinical attributes. More work is needed to develop, evaluate, and disseminate interventions to decrease inequities in timeliness of care for breast cancer patients.