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Saitta C, Afari JA, Autorino R, Capitanio U, Porpiglia F, Amparore D, Piramide F, Cerrato C, Meagher MF, Noyes SL, Pandolfo SD, Buffi NM, Larcher A, Hakimi K, Nguyen MV, Puri D, Diana P, Fasulo V, Saita A, Lughezzani G, Casale P, Antonelli A, Montorsi F, Lane BR, Derweesh IH. Development of a novel score (RENSAFE) to determine probability of acute kidney injury and renal functional decline post surgery: A multicenter analysis. Urol Oncol 2023; 41:487.e15-487.e23. [PMID: 37880003 DOI: 10.1016/j.urolonc.2023.09.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/15/2023] [Accepted: 09/25/2023] [Indexed: 10/27/2023]
Abstract
OBJECTIVE To create and validate 2 models called RENSAFE (RENalSAFEty) to predict postoperative acute kidney injury (AKI) and development of chronic kidney disease (CKD) stage 3b in patients undergoing partial (PN) or radical nephrectomy (RN) for kidney cancer. METHODS Primary objective was to develop a predictive model for AKI (reduction >25% of preoperative eGFR) and de novo CKD≥3b (<45 ml/min/1.73m2), through stepwise logistic regression. Secondary outcomes include elucidation of the relationship between AKI and de novo CKD≥3a (<60 ml/min/1.73m2). Accuracy was tested with receiver operator characteristic area under the curve (AUC). RESULTS AKI occurred in 452/1,517 patients (29.8%) and CKD≥3b in 116/903 patients (12.8%). Logistic regression demonstrated male sex (OR = 1.3, P = 0.02), ASA score (OR = 1.3, P < 0.01), hypertension (OR = 1.6, P < 0.001), R.E.N.A.L. score (OR = 1.2, P < 0.001), preoperative eGFR<60 (OR = 1.8, P = 0.009), and RN (OR = 10.4, P < 0.0001) as predictors for AKI. Age (OR 1.0, P < 0.001), diabetes mellitus (OR 2.5, P < 0.001), preoperative eGFR <60 (OR 3.6, P < 0.001) and RN (OR 2.2, P < 0.01) were predictors for CKD≥3b. AUC for RENSAFE AKI was 0.80 and 0.76 for CKD≥3b. AKI was predictive for CKD≥3a (OR = 2.2, P < 0.001), but not CKD≥3b (P = 0.1). Using 21% threshold probability for AKI achieved sensitivity: 80.3%, specificity: 61.7% and negative predictive value (NPV): 88.1%. Using 8% cutoff for CKD≥3b achieved sensitivity: 75%, specificity: 65.7%, and NPV: 96%. CONCLUSION RENSAFE models utilizing perioperative variables that can predict AKI and CKD may help guide shared decision making. Impact of postsurgical AKI was limited to less severe CKD (eGFR<60 ml/min 71.73m2). Confirmatory studies are requisite.
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Affiliation(s)
- Cesare Saitta
- University of California: San Diego Health System, San Diego, CA; Department of Urology, IRCCS Humanitas Clinical and Research Hospital, Rozzano, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy
| | - Jonathan A Afari
- University of California: San Diego Health System, San Diego, CA
| | | | - Umberto Capitanio
- Department of Urology, San Raffaele Scientific Institute, Milan, Italy
| | - Francesco Porpiglia
- Department of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Italy
| | - Daniele Amparore
- Department of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Italy
| | - Federico Piramide
- Department of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Italy
| | - Clara Cerrato
- University of California: San Diego Health System, San Diego, CA; Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | | | - Sabrina L Noyes
- Spectrum Health, Grand Rapids, Michigan State University College of Human Medicine, Grand Rapids, MI
| | | | - Nicolò M Buffi
- Department of Urology, IRCCS Humanitas Clinical and Research Hospital, Rozzano, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy
| | | | - Kevin Hakimi
- University of California: San Diego Health System, San Diego, CA
| | - Mimi V Nguyen
- University of California: San Diego Health System, San Diego, CA
| | - Dhruv Puri
- University of California: San Diego Health System, San Diego, CA
| | - Pietro Diana
- Department of Urology, IRCCS Humanitas Clinical and Research Hospital, Rozzano, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy
| | - Vittorio Fasulo
- Department of Urology, IRCCS Humanitas Clinical and Research Hospital, Rozzano, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy
| | - Alberto Saita
- Department of Urology, IRCCS Humanitas Clinical and Research Hospital, Rozzano, Italy
| | - Giovanni Lughezzani
- Department of Urology, IRCCS Humanitas Clinical and Research Hospital, Rozzano, Italy; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy
| | - Paolo Casale
- Department of Urology, IRCCS Humanitas Clinical and Research Hospital, Rozzano, Italy
| | - Alessandro Antonelli
- Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | | | - Brian R Lane
- Spectrum Health, Grand Rapids, Michigan State University College of Human Medicine, Grand Rapids, MI
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