Thiel, David D.

Objective: To evaluate factors associated with the conversion of robotic-assisted partial nephrectomy (RAPN) to open partial nephrectomy (OPN) and radical nephrectomy (RN). Methods: We retrospectively reviewed 775 consecutive RAPNs from a single surgeon. Perioperative factors were evaluated for association with RAPN conversion such as Mayo Adhesive Probability (MAP) score, length of stay (LOS), and operative time (OT). A logistic regression model was utilized to evaluate factors associated with conversion and reported as odds ratio (OR) with 95% confidence intervals. Continuous and categorical variables were analyzed through the Wilcoxon rank-sum and chi-square tests. Results: Thirty-two (4.1%) patients had a conversion including 19 (2.5%) to OPN and 13 (1.7%) to RN. OPN conversions were related to bleeding ( n = 7), inability to dissect perinephric fat ( n = 4), liver retraction ( n = 1), and failure to secure renal hilum/progress ( n = 7). In contrast, conversions to RN were due to tumor involvement of the renal vein ( n = 3) or ureter ( n = 5) and inability to achieve negative margins ( n = 5). Patients in the conversion cohort were more likely to have larger tumor size (3.7 vs 2.8 cm; p < 0.001) and higher MAP score (3.0 vs 2.0; p = 0.04). Median LOS was higher in the conversion group (3.0 vs 2.0 days; p = 0.003). Conversions were associated with postoperative complications (28.1% vs 13.7%; p = 0.023). After adjusting tumor size in our regression model, longer OT and dissection time were statistically higher in the conversion group (OR = 2.19 [1.50–3.21]; p < 0.001 and OR = 2.67 [1.82–3.94]; p < 0.001, respectively). Conclusions: Larger tumor size and higher MAP score were associated with conversions during RAPN. Conversions were associated with higher LOS, longer OT, and postoperative complications.

BACKGROUND AND OBJECTIVES: Surgeon-team familiarity is a critical factor that affects surgical outcomes. The relationships between familiarity and surgical outcomes are varied, and an operational definition of this measure remains underdeveloped. This study creates an effective time-based measure of surgeon-team familiarity and assesses its association with clinical and operational outcomes for neurosurgery. METHODS: Retrospective analysis of 9049 neurosurgery cases performed at 2 campuses of a tertiary academic medical center over a 3-year timeframe was conducted. This study measures normalized case duration as a proxy for operational performance and 30-day postoperative complications for clinical outcomes. Multivariate linear regression and logistic regression were used to analyze relationships between surgeon-team familiarity and surgical outcomes, with risk factors as control variables for case mix. RESULTS: For normalized case duration, the coefficient of surgeon-team familiarity is negative (β = −0.015, P = .03), but the squared term exhibits a positive relationship (β = 0.049, P = .003). The overall regression is statistically significant ( R 2 = 0.046, adjusted R 2 = 0.045, P < .001). The logistic regression shows that surgeon-team familiarity scores are negatively correlated (odds ratio = 0.356, 95% CI [0.126, 0.987]) with the risks of postoperative complications. It is statistically significant and explains between 2.4% (Cox & Snell R Square) and 6.0% (Nagelkerke R Square) of the variance for postoperative complications. CONCLUSION: This study found that surgeon-team familiarity is positively associated with neurosurgery outcomes. Teams familiar with the surgeons will likely improve operational performance and reduce the risk of postoperative complications, whereas too much familiarity may lengthen the case duration. Surgical practice leaders can use electronic health record data to define appropriate familiarity scores and incorporate key metrics when developing surgical team assignments for optimal operating room performance.

Abstract Background The mechanisms underlying metastatic latency in renal cell carcinoma (RCC) remain poorly understood. Methods This study evaluated 2 large independent cohorts for differences in tumor biology between patients who developed metastases early (≤1 year after nephrectomy) and those with late onset (&gt;3 years). Results In the discovery cohort (n = 161), late metastatic RCC was associated with clear cell histology (88.9% vs 78.7%), lower pathological stage (pT1-2; 40.3% vs 18.0%), and favorable histopathological features including low grade (40.0% vs 2.3%), less sarcomatoid (5.6% vs 21.8%), and reduced necrosis (37.7% vs 78.3%; all P &lt; .02). Late metastatic RCC tumors exhibited increased angiogenesis (63.5% vs 19.4%) and reduced inflammation (78.8% vs 50.0%; all P &lt; .02) profiles. Genomic driver analyses revealed comparable rates of PBRM1 and SETD2 loss in late and early metastatic RCC, while BAP1 loss was significantly less common in late metastatic RCC (7.5% vs 27.1%; P &lt; .02). In multivariable models, BAP1/PBRM1/SETD2 status and tumor necrosis emerged as key discriminators of late metastatic RCCs. These findings were confirmed in the second cohort (n = 307). Late metastatic RCC was enriched for fatty acid oxidation and angiogenesis pathways, supporting a less aggressive phenotype. This was further evidenced by a lower engraftment rate in murine models (0% vs 36.5%; P &lt; .001) and significantly longer overall survival from the time of metastasis (median survival doubled, P &lt; .001). Interestingly, late metastatic RCC shared genomic and phenotypic features with RCC that metastasizes to the pancreas, suggesting a common underlying biology influencing both metastatic latency and pancreatic tropism. Conclusions Overall, these findings advocate for recognition of late metastatic RCC because of its distinct biology and improved prognosis.

Introduction: To analyze the association of patient characteristics on operating room (OR) times for robotic-assisted partial nephrectomies (RAPNs). Methods: In total, 248 consecutive RAPNs were performed by a single surgeon from October 2018 to August 2022. Data were collected on the following patient factors: sex, age, race, weight, body mass index (BMI), diabetes, hypertension (HTN), tumor side, tumor mass, and American Society of Anesthesiologists (ASA) score. Total fixed OR times were evaluated as the sum of in-room time to anesthesia-release time (IRAT), anesthesia-release time to cut time (ARCT), close time to wheels out time (CTWO), and in-room time to cut time (IRAT + ARCT). Total variable OR times were defined as cut time to close time (CTCT). Total operative time was defined as wheels into wheel out (WIWO). Results: Median OR time was 265 minutes (interquartile range [IQR]: 247–298 minutes) for WIWO, 191 minutes (IQR: 170–225 minutes) for CTCT, and 75 minutes (IQR: 68–83 minutes) for total fixed time. There was a significant increase in WIWO with the following patient variables: male sex (18.0 minutes, 95% confidence interval [CI]: 6.3–29.7 minutes), weight (5.6 minutes, 95% CI: 2.8–8.4 minutes), BMI (14.3 minutes, 95% CI: 4.2–24.4 minutes), HTN (15.1 minutes, 95% CI: 3.7–26.5 minutes), pathology tumor size (cm) (6.4 minutes, 95% CI: 2.2–10.6 minutes), and ASA score (13.8 minutes, 95% CI: 3.1–24.4 minutes). Sex, age, BMI, weight, HTN, and pathology tumor size significantly impacted CTCT ( P < 0.05). Total fixed OR time was only affected by ASA score ( P = 0.02). Conclusions: Patient variables significantly affect total OR time and variable OR time. These variables do not impact total fixed OR times, confirming fixed OR time as a viable OR efficiency point.