Critical Care

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A proposed algorithm for initiation of renal replacement therapy in adult critically ill patients

Sean M Bagshaw1, Dinna N Cruz2*, RT Noel Gibney1 and Claudio Ronco2

Author Affiliations

1 Division of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2B7, Canada

2 Department of Nephrology Dialysis and Transplantation and International Renal Research Institute Vicenza (IRRIV), San Bortolo Hospital, 36100 Vicenza, Italy

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Critical Care 2009, 13:317 doi:10.1186/cc8037

Published: 11 November 2009

Abstract

Critically ill patients whose course is complicated by acute kidney injury often receive renal replacement therapy (RRT). For these patients, initiation of RRT results in a considerable escalation in both the complexity and associated cost of care. While RRT is extensively used in clinical practice, there remains uncertainty about the ideal circumstances of when to initiate RRT and for what indications. The process of deciding when to initiate RRT in critically ill patients is complex and is influenced by numerous factors, including patient-specific and clinician-specific factors and those related to local organizational/logistical issues. Studies have shown marked variation between clinicians, and across institutions and countries. As a consequence, analysis of ideal circumstances under which to initiate RRT is challenging. Recognizing this limitation, we review the available data and propose a clinical algorithm to aid in the decision for RRT initiation in critically ill adult patients. The algorithm incorporates several patient-specific factors, based on evidence when available, that may decisively influence when to initiate RRT. The objective of this algorithm is to provide a starting point to guide clinicians on when to initiate RRT in critically ill adult patients. In addition, the proposed algorithm is intended to provide a foundation for prospective evaluation and the development of a broad consensus on when to initiate RRT in critically ill patients.