Real-Time Estimation of Nephron Activity with a Linear Measurement System (RENAL-MS) Predicts Postoperative Estimated Glomerular Filtration Rate.
Document Type
Article
Publication Date
2-2024
Publication Title
BJU International
Abstract
OBJECTIVE: To determine whether a simple point-of-care measurement system estimating renal parenchymal volume using tools ubiquitously available could be used to replace nuclear medicine renal scintigraphy (NMRS) in current clinical practice to predict estimated glomerular filtration rate (eGFR) after nephrectomy by estimating preoperative split renal function.
PATIENTS AND METHODS: We performed a retrospective review of patients who underwent abdominal cross-sectional imaging (computed tomography/magnetic resonance imaging) and mercaptoacetyltriglycine (MAG3) NMRS prior to total nephrectomy at a single institution. We developed the real-time estimation of nephron activity with a linear measurement system (RENAL-MS) method of estimating postoperative renal function via the following technique: renal parenchymal volume of the removed kidney relative to the remaining kidney was estimated as the product of renal length and the average of six renal parenchymal thickness measurements. The utility of this value was compared to the utility of the split renal function measured by MAG3 for prediction of eGFR and new onset Stage 3 chronic kidney disease (CKD) at ≥90 days after nephrectomy using uni- and multivariate linear and logistic regression.
RESULTS: A total of 57 patients met the study criteria. The median (interquartile range [IQR]) age was 69 (61-80) years. The median (IQR) pre- and postoperative eGFR was 74 (IQR 58-90) and 46 (35-62) mL/min/1.73 m
Volume
133
Issue
2
First Page
206
Last Page
213
Recommended Citation
Schober JP, Ginsburg KB, Kutikov A, Cho EY, Loecher M, Strauss D, et al. Real-time estimation of nephron activity with a linear measurement system (RENAL-MS) predicts postoperative estimated glomerular filtration rate. BJU Int. 2024 Feb;133(2):206-213. doi: 10.1111/bju.16172. PMID: 37667554.
DOI
10.1111/bju.16172
ISSN
1464-410X
PubMed ID
37667554