IMPLEMENTATION OF A REAL-TIME ELECTRONIC ALERT BASED ON THE RIFLE CRITERIA FOR ACUTE KIDNEY INJURY IN ICU PATIENTS

Abstract Acute kidney injury (AKI) is very common among critically-ill patients and is correlated with significant morbidity and mortality. The RIFLE criteria (an acronym comprising Risk, Injury, Failure, Loss and End-stage kidney disease), were developed by a panel of experts aiming at standardizing the definition of AKI and to subdivide AKI into different categories of severity. However, although these criteria are clear and easy to understand, they are still complex and labour-intensive, and therefore mostly used in retrospective. The use of an electronic alert based on the RIFLE criteria, which warns the physician in real-time when kidney function is deteriorating can help to implement these criteria in daily clinical practice. In this paper we describe the successful implementation of such an alert system. Not only were there technological barriers to solve; also acceptance of the alert by the end user was of pivotal importance. Further research is currently performed to investigate whether the implementation of real-time electronic RIFLE alerts induce faster therapeutic intervention, and to evaluate the impact of a more timely intervention on improved preservation of kidney function and patients’ outcome.

[1]  Bruno Volckaert,et al.  Design of a flexible platform for execution of medical decision support agents in the intensive care unit , 2007, Comput. Biol. Medicine.

[2]  Donald B. Chalfin,et al.  The Critical Care Crisis in the United States: A Report From the Profession , 2004 .

[3]  R. Bellomo Defining, quantifying, and classifying acute renal failure. , 2005, Critical care clinics.

[4]  A. E. El Nahas,et al.  The outcome of acute renal failure in the intensive care unit according to RIFLE: model application, sensitivity, and predictability. , 2005, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[5]  J Decruyenaere,et al.  On the design of a generic and scalable multilayer software architecture for data flow management in the intensive care unit. , 2003, Methods of information in medicine.

[6]  M. Levy,et al.  Computers in the intensive care unit. , 2004, Journal of critical care.

[7]  J. Kellum,et al.  Acute renal failure in the critically ill: impact on morbidity and mortality. , 2004, Contributions to nephrology.

[8]  Pierre Durieux,et al.  Electronic medical alerts--so simple, so complex. , 2005, The New England journal of medicine.

[9]  J. Decruyenaere,et al.  Acute renal failure in patients with sepsis in a surgical ICU: predictive factors, incidence, comorbidity, and outcome. , 2003, Journal of the American Society of Nephrology : JASN.

[10]  V. Pettilä,et al.  Acute renal failure after cardiac surgery: evaluation of the RIFLE classification. , 2006, The Annals of thoracic surgery.

[11]  R. Bellomo,et al.  Acute renal failure: time for consensus , 2001, Intensive Care Medicine.

[12]  G. Prescott,et al.  Incidence and outcomes in acute kidney injury: a comprehensive population-based study. , 2007, Journal of the American Society of Nephrology : JASN.

[13]  Gilles Clermont,et al.  RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: a cohort analysis , 2006, Critical care.

[14]  Derek Angus,et al.  The critical care crisis in the United States: A report from the profession , 2004, Chest.

[15]  G. Ewart,et al.  The critical care medicine crisis: a call for federal action: a white paper from the critical care professional societies. , 2004, Chest.

[16]  Kirsten Colpaert,et al.  Impact of computerized physician order entry on medication prescription errors in the intensive care unit: a controlled cross-sectional trial , 2006, Critical care.