title: Perioperative Acute Kidney Injury: Risk Factors and Predictive Strategies.
abstract: Acute kidney injury (AKI) is a common complication in surgical patients and is associated with increases in mortality, an increased risk for chronic kidney disease and hemodialysis after discharge, and increased cost. Better understanding of the risk factors that contribute to perioperative AKI has led to improved AKI prediction and will eventually lead to improved prevention of AKI, mitigation of injury when AKI occurs, and enhanced recovery in patients who sustain AKI. The development of advanced clinical prediction scores for AKI, new imaging techniques, and novel biomarkers for early detection of AKI provides new tools toward these ends.
authors.affiliation: Department of Health Services Research, Management, and Policy, 1225 Center Drive, HPNP 4151 University of Florida Gainesville, FL 32611, USA.
authors.forename: Charles
authors.initials: C
authors.lastname: Hobson
authors.affiliation: Department of Medicine, University of Florida, PO Box 100254, Gainesville, FL 32610-0254, USA.
authors.forename: Rupam
authors.initials: R
authors.lastname: Ruchi
authors.affiliation: Department of Medicine, University of Florida, PO Box 100254, Gainesville, FL 32610-0254, USA. Electronic address: ABihorac@anest.ufl.edu.
authors.forename: Azra
authors.initials: A
authors.lastname: Bihorac
mesh_terms: D058186:Acute Kidney Injury / Q000175:diagnosis / Q000209:etiology* / Q000517:prevention & control; D015415:Biomarkers; D006801:Humans; D059035:Perioperative Period; D012307:Risk Factors; D013514:Surgical Procedures, Operative / Q000009:adverse effects*
chemical_list: D015415:Biomarkers
keywords: AKI; Acute kidney injury; BOLD MRI; Biomarkers; CEUS; DWI MRI; Prediction scores