The role of RENAL score in predicting complications after robotic partial nephrectomy.
Publication/Presentation Date
2-1-2022
Abstract
BACKGROUND: The aim of this study was to evaluate the association between tumor complexity based on RENAL nephrometry score and complications.
METHODS: We retrospectively identified 2555 patients who underwent RPN for renal cell carcinoma. Major complication was defined as Clavien Grade ≥3. The relationship between baseline demographic, clinical characteristics, perioperative and postoperative outcomes, and tumor complexity were assessed using
RESULTS: There was a significant relationship between tumor complexity and WIT (P< 0.001), operative time (P< 0.001), estimated blood loss (P< 0.001), and major complication (P=0.019). However, there was no relationship with overall complications (P=0.237) and length of stay (LOS) (P=0.085). In the unadjusted model, higher tumor complexity was associated with major complication (P=0.009). Controlling for other variables, there was no significant difference between major complication and tumor complexity (low vs. moderate, P=0.142 and high, P=0.204). LOS (P< 0.001) and operative time (P=0.025) remained a significant predictor of major complication in the adjusted model.
CONCLUSIONS: Tumor complexity is not associated with an increase in overall or major complication rate after RPN. Experience in high-volume centers is demonstrating a standardization of low complications rates after RPN independent of tumor complexity.
Volume
74
Issue
1
First Page
57
Last Page
62
ISSN
2724-6442
Published In/Presented At
Daza, J., Okhawere, K. E., Ige, O., Elbakry, A., Sfakianos, J. P., Abaza, R., Bhandari, A., Eun, D. D., Hemal, A. K., Porter, J., & Badani, K. K. (2022). The role of RENAL score in predicting complications after robotic partial nephrectomy. Minerva urology and nephrology, 74(1), 57–62. https://doi.org/10.23736/S2724-6051.20.03608-5
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
33439567
Department(s)
Administration and Leadership
Document Type
Article