Best predictive single nephrometry score component to correlate with achievement of trifecta outcome in laparoscopic and robotic surgery
Sappaya Suppanuntaroek, Kyle Garcia, Christopher Combates, Carly Deal, Irasema Concepción Paster, Christian Morrill, Ken Batai, Benjamin J. Lee
- Year
- 2024
- Citations
- 2
- Access
- Open access
Abstract
BACKGROUND: To evaluate the predictive value of individual components of the R.E.N.A.L scoring system for Laparoscopic (LPN) and Robotic Partial Nephrectomy (RPN). METHODS: Patients that had undergone a Laparoscopic (LPN) or Robotic Partial Nephrectomy (RPN) between 2018 and 2023 were reviewed. Our data collection included Race, Ethnicity, Age, BMI, R.E.N.A.L nephrometry score, and complications. Cases that achieved trifecta outcomes were designated as "Group A" and cases that did not achieve trifecta were "Group B". All the data were collected using REDCap database. RESULTS: A total of 111 cases were included, Group A consisted of 82% of all cases, whereas Group B 18%. Radius score demonstrated significant distinction concerning trifecta attainment and was the most predictive component of the 5 scoring metrics of the nephrometry system. In a subgroup analysis, R-score of 3 or a renal mass measuring ≥ 7 cm, was a significant independent negative predictor for trifecta outcomes, as well as tumor size at presentation. CONCLUSION: Renal nephrometry score is predictive of trifecta outcomes for patients undergoing laparoscopic or robotic partial nephrectomy. Radius of mass was the most effective predictive component of the nephrometry score for trifecta prediction.
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