The utility of modified RENAL nephrometry score in predicting the perioperative outcomes following open partial nephrectomy
RENAL nephrometry score in predicting the perioperative
Keywords:
Modified RENAL score, Open partial nephrectomy, Perioperative complicationsAbstract
The RENAL nephrometry score (RNS) is a standardized approach for grading the complexity of renal masses, although it does not have a strong correlation with the perioperative outcomes of open partial nephrectomy. To address these issues, a modified RENAL has been proposed. The study's goal is to determine the usefulness of a modified RENAL nephrometry score in predicting perioperative outcomes after open partial nephrectomy. This interventional multicentric trial included 47 adult patients with T1N0M0 renal masses of 7 cm or less, which were appropriate for open partial nephrectomy. Salah et al. presented a modified R.E.N.A.L classification system, which was used to assess renal complexity. Demographics, anthropometrics, prior medical history, renal mass features, histological diagnosis, and perioperative data were all collected for examination. Logistic regression and receiver operator characteristic curve analysis were used to predict perioperative problems. The patients' average age was 52.0 ± 13.1 years, with a male-to-female ratio of 1.24:1. The modified R.E.N.A.L score averaged 9.6 ± 1.8. Perioperative problems occurred in 42.6% of cases. The moderate complexity group experienced a lengthier hospital stay (2.7 ± 0.6 days) than the mild complexity group (2.3 ± 0.5 days, p = 0.008). The R.E.N.A.L. score was identified as an independent predictor of perioperative complications (OR: 1.48; 95% CI: 1.03-2.26, p = 0.046), with an acceptable cut-off point of 8.7 (AUC = 0.68). The modified RENAL is an important tool for identifying renal malignancies based on their anatomic characteristics, which aids in the prediction of perioperative complication rates.
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Copyright (c) 2024 Hama Amin Said, Goran Friad, Mzhda Sahib Jaafar, Lusan Abdulhameed Arkawazi, Mohammed Fahad Raheem, Ismaeel Aghaways, Mohammed Ibrahim Mohialdeen Gubari
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