Real‐time estimation of nephron activity with a linear measurement system (RENAL‐MS) predicts postoperative estimated glomerular filtration rate

Author:

Schober Jared P.1ORCID,Ginsburg Kevin B.2ORCID,Kutikov Alexander3,Cho Eric Y.3,Loecher Matt3,Strauss David3,Castro Bigalli Alberto Andres3,Handorf Elizabeth4,Deng Mengying4,Anaokar Jordan5,Chen David Y. T.3,Greenberg Richard E.3,Smaldone Marc C.3,Viterbo Rosalia3,Correa Andres F.3,Uzzo Robert G.3,Strother Marshall6

Affiliation:

1. Division of Urologic Surgery, Department of Surgery University of Nebraska Medical Center Omaha NE USA

2. Department of Urology Wayne State University Detroit MI USA

3. Division of Urologic Oncology, Department of Surgical Oncology Fox Chase Cancer Center Philadelphia PA USA

4. Biostatistics and Bioinformatics Fox Chase Cancer Center Philadelphia PA USA

5. Department of Diagnostic Radiology Fox Chase Cancer Center Philadelphia PA USA

6. Department of Urology Oregon Health and Science University Portland OR USA

Abstract

ObjectiveTo 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 MethodsWe 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.ResultsA 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 m2, respectively. [Correction added on 29 December 2023, after first online publication: The data numbers in the preceding sentence have been corrected.] Correlations between actual and predicted postoperative eGFR were similar whether the RENAL‐MS or NMRS methods were used, with correlation using RENAL‐MS being slightly numerically but not statistically superior (R = 0.82 and 0.76; P = 0.138). Receiver operating characteristic curve analysis using logistic regression estimates incorporating age, sex, and preoperative creatinine to predict postoperative Stage 3 CKD were similar between RENAL‐MS and NMRS (area under the curve 0.93 vs. 0.97). [Correction added on 29 December 2023, after first online publication: The data numbers in the preceding sentence have been corrected.]ConclusionA point‐of‐care tool to estimate renal parenchymal volume (RENAL‐MS) performed equally as well as NMRS to predict postoperative eGFR and de novo Stage 3 CKD after nephrectomy in our population, suggesting NMRS may not be necessary in this setting.

Funder

Fox Chase Cancer Center

Publisher

Wiley

Subject

Urology

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