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Practical Prediction of New Baseline Renal Function After Partial Nephrectomy.

Authors :
Rathi, Nityam
Attawettayanon, Worapat
Kazama, Akira
Yasuda, Yosuke
Munoz-Lopez, Carlos
Lewis, Kieran
Maina, Eran
Wood, Andrew
Palacios, Diego A.
Li, Jianbo
Abdallah, Nour
Weight, Christopher J.
Eltemamy, Mohamed
Krishnamurthi, Venkatesh
Abouassaly, Robert
Campbell, Steven C.
Source :
Annals of Surgical Oncology: An Oncology Journal for Surgeons; Feb2024, Vol. 31 Issue 2, p1402-1409, 8p
Publication Year :
2024

Abstract

Background: Partial nephrectomy (PN) is generally preferred for localized renal masses due to strong functional outcomes. Accurate prediction of new baseline glomerular filtration rate (NBGFR) after PN may facilitate preoperative counseling because NBGFR may affect long-term survival, particularly for patients with preoperative chronic kidney disease. Methods for predicting parenchymal volume preservation, and by extension NBGFR, have been proposed, including those based on contact surface area (CSA) or direct measurement of tissue likely to be excised/devascularized during PN. We previously reported that presuming 89% of global GFR preservation (the median value saved from previous, independent analyses) is as accurate as the more subjective/labor-intensive CSA and direct measurement approaches. More recently, several promising complex/multivariable predictive algorithms have been published, which typically include tumor, patient, and surgical factors. In this study, we compare our conceptually simple approach (NBGFR<subscript>Post-PN</subscript> = 0.90 × GFR<subscript>Pre-PN</subscript>) with these sophisticated algorithms, presuming that an even 90% of the global GFR is saved with each PN. Patients and Methods: A total of 631 patients with bilateral kidneys who underwent PN at Cleveland Clinic (2012–2014) for localized renal masses with available preoperative/postoperative GFR were analyzed. NBGFR was defined as the final GFR 3–12 months post-PN. Predictive accuracies were assessed from correlation coefficients (r) and mean squared errors (MSE). Results: Our conceptually simple approach based on uniform 90% functional preservation had equivalent r values when compared with complex, multivariable models, and had the lowest degree of error when predicting NBGFR post-PN. Conclusions: Our simple formula performs equally well as complex algorithms when predicting NBGFR after PN. Strong anchoring by preoperative GFR and minimal functional loss (≈ 10%) with the typical PN likely account for these observations. This formula is practical and can facilitate counseling about expected postoperative functional outcomes after PN. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10689265
Volume :
31
Issue :
2
Database :
Complementary Index
Journal :
Annals of Surgical Oncology: An Oncology Journal for Surgeons
Publication Type :
Academic Journal
Accession number :
174559170
Full Text :
https://doi.org/10.1245/s10434-023-14540-x