Faculty Profile

Jay Koyner
Section of Nephrology
Professor of Medicine
Referring Physician Access Line: 1-877-DOM-2730

Academic Interests

Dr. Koyner has a robust clinical research focus in Critical Care Nephrology. His research group’s work is on the diagnosis, care and treatment patients with acute kidney injury (AKI). AKI occurs commonly in hospitalized patients, especially in the setting of critical illness and the intensive care unit setting. In this context, AKI carries an alarmingly high morbidity and mortality rate. One of Dr. Koyner’s main projects involves utilizing predictive models, which harnesses data available and collected in the electronic medical record that allows for the identification and treatment of hospitalized patients at risk for the development of AKI in real time. Along with colleagues from the Department of Medicine and the Center for Health Care Delivery and Innovation Dr. Koyner has developed the Electronic Signal To Prevent AKI (ESTOP-AKI) a real-time AKI risk model. This model will assist in decreasing the incidence of AKI as well as improving outcomes in hospitalized patients who develop AKI. Other research projects that are ongoing in Dr. Koyner’s lab include using novel urinary biochemical biomarkers of kidney injury to identify and treat patients early with severe AKI. These investigations compare novel biomarker performance to the current gold standard, serum creatinine as a marker of AKI and determine how well these biomarkers prognosticate AKI severity and the risk for long-term adverse clinical events. Dr Koyner is also involved in projects that explore potential prophylactic and therapeutic treatments for AKI in the context of critical illness performed in collaboration with investigators from Pulmonary and Critical Care Medicine and Anesthesia Critical Care. As director of UCMC’s Inpatient Renal Replacement Therapy (RRT) Unit, he has performed studies investigating the optimal delivery of continuous RRT (CRRT) in the setting of the most severe forms of AKI.

Clinical Interests

Acute kidney injury, critical care nephrology


  • Koyner JL, Adhikari R, Edelson DP, Churpek MM.Development of a Multicenter Ward-Based AKI Prediction Model. Clin J Am Soc Nephrol. 2016 Nov 7;11(11):1935-1943. PMID: 27633727
  • Koyner JL. Reconfiguring Health Care Delivery to Improve AKI Outcomes. Clin J Am Soc Nephrol. 2017 Jul 20. pii: CJN.05940617. doi: 10.2215/CJN.05940617. [Epub ahead of print] No abstract available. PMID: 28729381
  • Chen LX, Demirijian S, Udani SM, Trevino SA, Murray PT, and Koyner JL. Cytokine Clearances in critically ill patients on continuous renal replacement therapy. Blood Purification. In press June 2018.
  • Koyner JL, Carey KA, Edelson DP, Churpek MM. The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model. Crit Care Med. 2018 Mar 28. PMID: 29596073
  • Nadim MK, Forni LG, Bihorac A, Hobson C, Koyner JL, Shaw A, Arnaoutakis GJ, Ding X, Engelman DT, Gasparovic H, Gasparovic V, Herzog CA, Kashani K, Katz N, Liu KD, Mehta RL, Ostermann M, Pannu N, Pickkers P, Price S, Ricci Z, Rich JB, Sajja LR, Weaver FA, Zarbock A, Ronco C, Kellum JA. Cardiac and Vascular Surgery-Associated Acute Kidney Injury: The 20th International Consensus Conference of the ADQI (Acute Disease Quality Initiative) Group. J Am Heart Assoc. 2018 Jun 1;7(11). pii: e008834. doi: 10.1161/JAHA.118.008834. PMID:29858368
For a complete list of publications click here:


  • BA, 1996, Johns Hopkins University, Biophysics
  • MD, 2001, State University of New York, Medicine
  • Residency, 2004, The University of Chicago Medical Center, Internal Medicine
  • Fellowship, 2007, The University of Chicago Medical Center, Nephrology