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Schober JP, Ginsburg KB, Kutikov A, Cho EY, Loecher M, Strauss D, Castro Bigalli AA, Handorf E, Deng M, Anaokar J, Chen DYT, Greenberg RE, Smaldone MC, Viterbo R, Correa AF, Uzzo RG, Strother M. Real-time estimation of nephron activity with a linear measurement system (RENAL-MS) predicts postoperative estimated glomerular filtration rate. BJU Int 2024; 133:206-213. [PMID: 37667554 DOI: 10.1111/bju.16172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
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 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.] CONCLUSION: A 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.
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Affiliation(s)
- Jared P Schober
- Division of Urologic Surgery, Department of Surgery, University of Nebraska Medical Center, Omaha, NE, USA
| | | | - Alexander Kutikov
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Eric Y Cho
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Matt Loecher
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - David Strauss
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | | | - Elizabeth Handorf
- Biostatistics and Bioinformatics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Mengying Deng
- Biostatistics and Bioinformatics, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Jordan Anaokar
- Department of Diagnostic Radiology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - David Y T Chen
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Richard E Greenberg
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Marc C Smaldone
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Rosalia Viterbo
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Andres F Correa
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Robert G Uzzo
- Division of Urologic Oncology, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Marshall Strother
- Department of Urology, Oregon Health and Science University, Portland, OR, USA
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Attawettayanon W, Yasuda Y, Zhang JH, Rathi N, Munoz-Lopez C, Kazama A, Lewis K, Ponvilawan B, Shah S, Wood A, Li J, Accioly JPE, Campbell RA, Zabell J, Kaouk J, Haber GP, Eltemamy M, Krishnamurthi V, Abouassaly R, Weight C, Campbell SC. Functional recovery after partial nephrectomy in a solitary kidney. Urol Oncol 2024; 42:32.e17-32.e27. [PMID: 38142208 DOI: 10.1016/j.urolonc.2023.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/13/2023] [Accepted: 12/02/2023] [Indexed: 12/25/2023]
Abstract
OBJECTIVES Partial nephrectomy (PN) is the reference standard for renal mass in a solitary kidney (RMSK), although factors determining functional recovery in this setting remain poorly defined. PATIENTS/METHODS Single center, retrospective analysis of 841 RMSK patients (1975-2022) managed with PN with functional data, including 361/435/45 with cold/warm/zero ischemia, respectively. A total of 155 of these patients also had necessary studies for detailed analysis of parenchymal volume preserved. Acute kidney injury (AKI) was classified by RIFLE (Risk/Injury/Failure/Loss/Endstage). Recovery-from-ischemia (Rec-Ischemia) was defined as glomerular filtration rate (GFR) saved normalized by parenchymal volume saved. Logistic regression identified predictive factors for AKI and predictors of Rec-Ischemia were analyzed by multivariable linear regression. RESULTS Overall, median preoperative GFR was 56.7 ml/min/1.73m2 and new-baseline and 5-year GFRs were 43.1 and 44.5 ml/min/1.73m2, respectively. Median follow-up was 55 months; 5-year dialysis-free survival was 97%. In the detailed analysis cohort, a primary focus of this study, median warm (n = 70)/cold (n = 85) ischemia times were 25/34 minutes, respectively; and median preoperative, new-baseline and 5-year GFRs were 57.8, 45.0, and 41.7 ml/min/1.73m2, respectively. Functional recovery correlated strongly with parenchymal volume preserved (r = 0.84, p < 0.001). Parenchymal volume loss accounted for 69% of the total median GFR decline associated with PN, leaving only 3 to 4 ml/min/1.73m2 attributed to ischemia and other factors. AKI occurred in 52% of patients and the only independent predictor of AKI was ischemia time. Independent predictors of reduced Rec-Ischemia were increased age, warm ischemia, and AKI. CONCLUSION The main determinant of functional recovery after PN in RMSK is parenchymal volume preservation. Type/duration of ischemia, AKI, and age also correlated, although altogether their contributions were less impactful. Our findings suggest multiple opportunities for optimizing functional outcomes although preservation of parenchymal volume remains predominant. Long-term function generally remains stable with dialysis only occasionally required.
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Affiliation(s)
- Worapat Attawettayanon
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Division of Urology, Department of Surgery, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, Songkhla, Thailand
| | - Yosuke Yasuda
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Tokyo Medical and Dental University, Graduate School, Tokyo, Japan
| | - Jj H Zhang
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Department of Urology, University of California Los Angeles (UCLA), Los Angeles, CA
| | - Nityam Rathi
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Carlos Munoz-Lopez
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Akira Kazama
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH; Department of Urology, Molecular Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Kieran Lewis
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Ben Ponvilawan
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH
| | - Snehi Shah
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Andrew Wood
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Jianbo Li
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland, OH
| | | | - Rebecca A Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Joseph Zabell
- Department of Urology, University of Minnesota, Minneapolis, MN
| | - Jihad Kaouk
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | | | - Mohamad Eltemamy
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | | | - Robert Abouassaly
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Christopher Weight
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH
| | - Steven C Campbell
- Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, OH.
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