Doppler-Derived Renal Functional Reserve in the Prediction of Postoperative Acute Kidney Injury in Patients Undergoing Robotic Surgery

Author:

Villa Gianluca12,Samoni Sara3,Muzzi Mirko1,Fabbri Sergio1,Husain-Syed Faeq4,Tofani Lorenzo5,Allinovi Marco6,Paparella Laura2,Spatafora Pietro78,Di Costanzo Roberto7,Ricci Zaccaria19,Serni Sergio78,Romagnoli Stefano12

Affiliation:

1. Department of Health Sciences, Section of Anesthesiology, and Intensive Care, University of Florence, Florence, Italy

2. Department of Anesthesia and Intensive Care, Azienda Ospedaliero Universitaria Careggi, Florence, Italy

3. Unit of Nephrology, Dialysis and Renal Transplant, Medical Department, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy

4. Department of Internal Medicine II, Division of Nephrology, University Hospital Giessen and Marburg, Justus-Liebig-University Giessen, Giessen, Germany

5. Department of statistics, informatics, applications, University of Florence, Florence, Italy

6. Unit of Nephrology, Dialysis and Transplantation, Geriatric Department, Careggi Hospital, University of Florence, Florence, Italy

7. Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy

8. Unit of Urological Minimally, Invasive Robotic Surgery and Renal Transplantation, Department of Oncology and Robotic Surgery, Careggi Hospital, University of Florence, Florence, Italy

9. Pediatric Intensive Care Unit, Department of Anesthesia and Critical Care, Meyer Children’s University Hospital, IRCCS, Florence, Italy.

Abstract

BACKGROUND: Postoperative acute kidney injury (PO-AKI) is a frequent complication after surgery. Various tools have been proposed to identify patients at high risk for AKI, including preoperative serum creatinine or estimated glomerular filtration rate (eGFR), urinary cell cycle arrest, and tubular damage biomarkers; however, none of these can appropriately assess AKI risk before surgery. Renal functional reserve (RFR) screened by the Doppler-derived intraparenchymal renal resistive index variation (IRRIV) test has been proposed to identify patients at risk for AKI before a kidney insult. IRRIV test has been developed in healthy individuals and previously investigated in cardiac surgery patients. This study aims to evaluate the value of the IRRIV test in identifying PO-AKI among patients undergoing robotic abdominal surgery in the Trendelenburg position for pelvic oncological disease. METHODS: We performed a prospective, double-blinded, observational study. Preoperative baseline renal function and RFR were assessed in 53 patients with baseline eGFR >60 mL/min/1.73 m2, undergoing robotic surgery in the Trendelenburg position for pelvic oncological disease. The capability of Doppler-derived RFR in predicting PO-AKI was investigated with the area under the receiver operating characteristic curve (ROC-AUC). RESULTS: Approximately 15.1% of patients developed AKI within the first 3 postoperative days. Thirty-one (58.5%) patients had a physiologic delta-RRI (ie, ≥0.05), while 22 (41.5%) patients did not. The ROC-AUC for PO-AKI was 0.85 (95% confidence interval [CI], 0.74–0.97; P = .007) for serum creatinine, 0.84 (95% CI, 0.71–0.96; P = .006) for eGFR, and 0.84 (95% CI, 0.78–0.91; P = .017) for delta-RRI. When combined with eGFR, the ROC-AUC for delta-RRI was 0.95 (95% CI, 0.9–1). CONCLUSIONS: Our findings show that the preoperative assessment of Doppler-derived RFR combined with baseline renal function improves the capability of identifying patients at high risk for PO-AKI with eGFR >60 mL/min/1.73 m2 after robotic abdominal surgery in Trendelenburg position for pelvic oncological disease.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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