Perioperative Acute Kidney Injury: Diagnosis, Prediction, Prevention, and Treatment
- PMID: 39527650
- PMCID: PMC11620328
- DOI: 10.1097/ALN.0000000000005215
Perioperative Acute Kidney Injury: Diagnosis, Prediction, Prevention, and Treatment
Abstract
In this review, the authors define acute kidney injury in the perioperative setting, describe the epidemiologic burden, discuss procedure-specific risk factors, detail principles of management, and highlight areas of ongoing controversy and research.
Conflict of interest statement
Dr. Mathis received funding paid to the University of Michigan (Ann Arbor, Michigan) from Chiesi USA (Cary, North Carolina) for work unrelated to the scope of the research presented in this manuscript. Dr. Heung has received payments from legal firms for expert testimony, CardioSounds LLC Ann Arbor, Michigan) as a paid consultant, grant funding from Astute Medical Inc. (Canton, Ohio), grant funding to the University of Michigan from Spectral Diagnostics (Toronto, Ontario), and Wolters-Kluwer Inc. for consulting fees as a senior editor for Lexicomp drug dosing guidelines. Dr. Schaub has received funding through the RPC2 consortium (Astra Zeneca [Cambridge, United Kingdom], Genetech [San Francisco, California], NovoNordisk [Bagsvaerd, Denmark], Eli Lilly [Indianapolis, Indiana]). Dr. Kretzler has received funding from the Chan Zuckerberg Initiative, Janssen (Beerse, Belgium; as an employee of the University of Michigan), Eli Lilly, Gilead (Foster City, California), Boehringer-Ingelheim (Ridgefield, Connecticut), Moderna (Cambridge, Massachusetts), the European Union Innovative Medicine Initiative, Certa (Saratoga, California), Chinook Tulsa, Oklahoma), Angion (San Francisco, California), RenalytixAI (New York, New York), Travere (San Diego, California), Regeneron, IONIS (Carlsbad, California), Maze Therapeutics (San Francisco, California), Roche-Genentech, Sanofi (Paris, France), and Dimerix (Victoria, Australia; as an employee of the University of Michigan). Additionally, Dr. Kretzler holds a patent, PCT/EP2014/073413: Biomarkers and Methods for Progression Prediction for Chronic Kidney Disease. The other authors declare no competing interests.
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