Assessment of Advanced Perioperative Outcomes to Identify the True Learning Curve of Robotic-assisted Partial Nephrectomy

Impact of pre- and peri-operative risk factors on length of stay and hospital readmission following minimally-invasive partial nephrectomy

Objective

We conducted an analysis of the American College of Surgeons National Surgical Quality Improvement Program database for minimally-invasive partial nephrectomy cases reported with the goal to identify pre- and peri-operative variables associated with length of stay (LOS) greater than 3 days and readmission within 30 days.

Methods

Records from 2008 to 2018 for "laparoscopy, surgical; partial nephrectomy" for prolonged LOS and readmission cohorts were compiled. Univariate analysis with Chi-square, t-tests, and multivariable logistic regression analysis with odds ratios (ORs), p-values, and 95% confidence intervals assessed statistical associations.

Results

Totally, 20 306 records for LOS greater than 3 days and 15 854 for readmission within 30 days were available. Univariate and multivariable analysis exhibited similar results. For LOS greater than 3 days, undergoing non-elective surgery (OR=5.247), transfusion of greater than four units within 72 h prior to surgery (OR=5.072), pre-operative renal failure or dialysis (OR=2.941), and poor pre-operative functional status (OR=2.540) exhibited the strongest statistically significant associations. For hospital readmission within 30 days, loss in body weight greater than 10% in 6 months prior to surgery (OR=2.227) and bleeding disorders (OR=2.081) exhibited strongest statistically significant associations.

Conclusion

Multiple pre- and peri-operative risk factors are independently associated with prolonged LOS and hospital readmission within 30 days of surgery using the American College of Surgeons National Surgical Quality Improvement Program data. Recognizing the risks factors that can potentially be improved prior to minimally-invasive partial nephrectomy is crucial to informing patient selection, optimization strategies, and patient education.

The learning curve for open and minimally-invasive kidney transplantation: a systematic review

INTRODUCTION

There is lack of evidence on the impact of surgeons' learning curve on postoperative outcomes after open (OKT) or minimally-invasive (robot-assisted) kidney transplantation (RAKT). The aim of the review was to assess the learning curve (LC) for OKT and RAKT, focusing on intra-, perioperative and functional outcomes.

EVIDENCE ACQUISITION

A systematic review of the English-language literature published between 01/01/2000 - 10/12/2021 was conducted using the MEDLINE (Via PubMed), Web of Science and the Cochrane Library databases according to the principles highlighted by the EAU Guidelines Office and the PRISMA statement recommendations. The review protocol was registered on PROSPERO (CRD42022301132). The overall quality of evidence was assessed according to GRADE recommendations.

EVIDENCE SYNTHESIS

Twelve studies were included in the qualitative analysis. Surgical competence in terms of operative and re-warming times was defined after 30 cases in OKT and after 11-35 cases in RAKT. Decreased complications rates were observed after 20-33 cases in OKT and 10-30 cases in RAKT. Optimal functional outcomes were achieved after 33 cases in OKT and 15-25 cases in RAKT. However, while a poor OKT experience did not influence the LC for RAKT, lack of robotic surgery exposure could lead to a longer LC for the robotic approach.

CONCLUSIONS

OKT and RAKT appear to have similar LCs and might require about 30 cases to achieve optimal surgical and functional outcomes. Previous expertise in OKT is warranted to shorten the LC for RAKT. Further research is needed to validate these thresholds using standardized reporting metrics.

Robotic-Assisted Partial Nephrectomy: Techniques to Improve Clinical Outcomes

PURPOSE OF REVIEW

To summarize current options available for robot-assisted partial nephrectomy RECENT FINDINGS: Partial nephrectomy (PN) is a standard treatment option for management of cT1 renal masses. It may be carried out by multiple approaches. Robot-assisted (RA) PN is one such option. The goal of treatment is both correct oncological (negative surgical margins) and functional (preservation of sufficient amount of renal parenchyma of the operated kidney) outcome. Appropriate outcomes depend on multiple factors. There are many, but among others tumor characteristics (size, location, i.e., tumor complexity), patient baseline renal function, patient comorbidities, and performance status etc. Based on all these, the surgeon adapts the intervention for each mass/patient by preoperative planning, absence/use/duration of warm or cold ischemia, perioperative imaging, resection technique adapted to tumor location and depth of invasion, use of hemostatics, type and degree of renal parenchymal closure and others details. Nephroprotective agents have not shown efficacy so far. It should not be forgotten that surgeon's experience plays a key role in the achievement of good results. Although multiple factors have a role in the RA partial nephrectomy, surgeon experience and adaptation of technique of intervention have the crucial role in the achievement of both functional and oncological results.

Evaluation of Peri-operative Outcomes Associated With Resident Involvement on Tumor Resection and Renorrhaphy During Robotic-assisted Partial Nephrectomy

OBJECTIVE

To evaluate perioperative outcomes of resident trainee involvement in tumor resection and renorrhaphy during robotic assisted partial nephrectomy (RAPN).

MATERIALS AND METHODS

We analyzed 500 consecutive RAPN in a single surgeon prospectively maintained database. Cases with resident performed tumor resection and renorrhaphy (N = 71) were case matched on R.E.N.A.L. score and RAPN year using a greedy matching algorithm. Perioperative variables were compared to attending cases.

RESULTS

There were no statistically significant differences in high grade postoperative complications (resident: 3% vs attending: 6%, P = .68), positive margins (resident: 1% vs attending: 3%, P = .31), length of stay (resident: 2.0 vs attending: 2.0 days, P = .73), and 30 day readmission (resident: 7% vs attending: 11%, P = .56). However, residents had a statistically significant longer warm ischemia time (median 21 vs 15 minutes, P <.001), thus less likely to achieve trifecta (66% vs 85%, P = .02). Resident involvement had longer median operative time (197 vs 184 minutes, P = .03). No statistically significant difference in functional volume loss (P = .12) or surface intermediate base margin score (P = .66) between residents and attending was found. No difference in post-operative creatinine change was found at 1 day and 1 month (resident: 0.2 vs attending: 0.1 mg/dL, P = .4 and resident: 0.1 vs attending: 0.1 mg/dL, P = .6, respectively).

CONCLUSION

Supervised resident console involvement in tumor resection and renorrhaphy during RAPN is safe and does not increase rates of complications. Residents have longer median warm ischemia time compared to attending only cases, but this does not appear to impact post-operative renal function.