Comparison between ketorolac- and fentanyl-based patient-controlled analgesia for acute kidney injury after robot-assisted radical prostatectomy: a retrospective propensity score-matched analysis.

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It is unclear whether ketorolac-based patient-controlled analgesia (PCA) leads to acute kidney injury (AKI) after robot-assisted radical prostatectomy (RARP) in patients susceptible to AKI. We compared the postoperative AKI incidence with ketorolac- and fentanyl-based PCA after RARP. After medical record review, eligible patients were divided in ketorolac and fentanyl groups. We conducted propensity score matching of 3239 patients and assigned 641 matched patients to each group, and compared the AKI incidence. We investigated potential risk factors for postoperative AKI, defined according to the Kidney Disease Improving Global Outcomes criteria. We collected preoperative data (age, height, weight, body mass index, American Society of Anesthesiologists physical status, medical history, creatinine level, estimated glomerular filtration rate, and hemoglobin level) and intraoperative data (maintenance anesthetics, surgery duration, anesthesia duration, crystalloid amount, colloid use, total amount of fluid administered, estimated blood loss, norepinephrine use, phenylephrine use, and PCA type). The postoperative AKI incidence was significantly higher in the ketorolac than in the fentanyl group, both before (31.1% vs. 20.4%; p < 0.001) and after (31.5% vs. 22.6%; p < 0.001) matching. In the univariate analysis, ketorolac was significantly associated with postoperative AKI, both before (odds ratio [OR], 1.762; 95% confidence interval [CI], 1.475-2.105; p < 0.001) and after (OR, 1.574; 95% CI, 1.227-2.019; p < 0.001) matching. In the multivariate analysis, ketorolac-based PCA was independently associated with development of postoperative AKI in the matched groups (OR, 1.659; 95% CI, 1.283-2.147; p < 0.001). Ketorolac-based PCA may increase postoperative AKI incidence after RARP; thus, renal function should be monitored in these patients.