Case presentations of medication management for patients at risk for drug-associated acute kidney injury identified with a CDS system and a novel biomarker

Author:

Williams Victoria L1,Groetzinger Lara M1,Smithburger Pamela L2,Imhoff Allison3,Culley Colleen M4,Murugan Raghavan5,Kellum John A6,Kane-Gill Sandra L7

Affiliation:

1. UPMC Presbyterian , Pittsburgh, PA , USA

2. UPMC Presbyterian, Pittsburgh, PA, and University of Pittsburgh School of Pharmacy , Pittsburgh, PA , USA

3. UPMC Magee Womens’ Hospital , Pittsburgh, PA , USA

4. University of Pittsburgh School of Pharmacy , Pittsburgh, PA , USA

5. UPMC Presbyterian, Pittsburgh, PA, and Department of Critical Care Medicine, University of Pittsburgh School of Medicine , Pittsburgh, PA , USA

6. Department of Critical Care Medicine, Center for Critical Care Nephrology, University of Pittsburgh School of Medicine , Pittsburgh, PA , USA

7. UPMC Presbyterian, Pittsburgh, PA, and University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA

Abstract

Abstract Purpose Traditional methods used to evaluate changes in kidney function to identify acute kidney injury (AKI) have significant limitations. Damage biomarkers can identify patients at risk for AKI prior to changes in kidney function. While clinical trials have shown that biomarker-guided treatment can improve outcomes, whether these biomarkers can influence providers’ choice of treatment strategy for risk prediction, surveillance, or diagnostic evaluation in clinical practice is uncertain. Summary This case series describes 4 patients at an academic medical center whose care was informed by kidney biomarker utilization in conjunction with a clinical decision support system (CDSS). Though each patient’s clinical presentation was unique, kidney biomarkers were successfully employed as clinical tools in evaluating the risks and benefits of nephrotoxic medications. Conclusion This case series demonstrates 4 scenarios in which a kidney injury biomarker used in conjunction with CDSS and consideration of the patients’ clinical presentation informed treatment strategies with the intent to prevent AKI.

Publisher

Oxford University Press (OUP)

Subject

Health Policy,Pharmacology

Reference19 articles.

1. The role of biomarkers in acute kidney injury;Srisawat;Crit Care Clin,2020

2. Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: the PrevAKI randomized controlled trial;Meersch;Intensive Care Med,2017

3. Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO clinical practice guideline for acute kidney injury;Kidney Int,2012

4. Biomarker-guided intervention to prevent acute kidney injury after major surgery: the prospective randomized BigpAK study;Göcze;Ann Surg,2018

5. Controversies in acute kidney injury: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) conference;Ostermann;Kidney Int,2020

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