Literature DB >> 21549548

Use of RIFLE criteria to predict the severity and prognosis of acute kidney injury in emergency department patients with rhabdomyolysis.

Kathleen A Delaney1, Melissa L Givens, Rais B Vohra.   

Abstract

BACKGROUND: RIFLE criteria (Risk, Injury, Failure, Loss, End-stage) have not been evaluated in Emergency Department (ED) patients at risk of acute kidney injury (AKI). AKI occurs in rhabdomyolysis. STUDY
OBJECTIVES: To use RIFLE criteria to stratify the severity of AKI and predict prognosis in ED patients with acute rhabdomyolysis.
METHODS: This is a retrospective study of consecutive patients with rhabdomyolysis over a 44-month period. Data included ED admission anion gap, blood urea nitrogen (BUN), calcium, phosphate, potassium, urinalysis, toxicology screen, and hematocrit. Creatine kinase, creatinines, and hematocrits were followed serially. Hospital length of stay (LOS) and need for dialysis were also recorded.
RESULTS: RIFLE categories were calculated for 135 patients. At admission, 60 (44%) had no AKI, 20 (15%) had Risk, 32 (24%) had Injury, and 23 (17%) had Failure. These categories were significantly associated with increasing magnitude of volume depletion, potassium, phosphate, BUN, and the anion gap. They predicted differences in LOS, dialysis, discharge creatinine, and the rate of normalization of the admission creatinine. Mortality was low (2%), as was morbidity. Only 8/132 surviving patients (6%) were discharged with a creatinine >2 mg/dL.
CONCLUSIONS: The RIFLE categories correlated significantly with known markers of rhabdomyolysis and AKI. They also predicted LOS, dialysis, renal morbidity, and the timing of recovery. RIFLE criteria could be used to predict the outcome of ED patients and facilitate admission and discharge decisions.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21549548     DOI: 10.1016/j.jemermed.2011.03.008

Source DB:  PubMed          Journal:  J Emerg Med        ISSN: 0736-4679            Impact factor:   1.484


  6 in total

1.  A risk prediction score for kidney failure or mortality in rhabdomyolysis.

Authors:  Gearoid M McMahon; Xiaoxi Zeng; Sushrut S Waikar
Journal:  JAMA Intern Med       Date:  2013-10-28       Impact factor: 21.873

Review 2.  The value of serum creatine kinase in predicting the risk of rhabdomyolysis-induced acute kidney injury: a systematic review and meta-analysis.

Authors:  Saeed Safari; Mahmoud Yousefifard; Behrooz Hashemi; Alireza Baratloo; Mohammad Mehdi Forouzanfar; Farhad Rahmati; Maryam Motamedi; Iraj Najafi
Journal:  Clin Exp Nephrol       Date:  2016-01-23       Impact factor: 2.801

3.  Exertional rhabdomyolysis: physiological response or manifestation of an underlying myopathy?

Authors:  Renata S Scalco; Marc Snoeck; Ros Quinlivan; Susan Treves; Pascal Laforét; Heinz Jungbluth; Nicol C Voermans
Journal:  BMJ Open Sport Exerc Med       Date:  2016-09-07

4.  Rhabdomyolysis related to acute recreational drug toxicity-A Euro-DEN study.

Authors:  Wojciech Waldman; Piotr M Kabata; Alison M Dines; David M Wood; Christopher Yates; Fridtjof Heyerdahl; Knut Erik Hovda; Isabelle Giraudon; Paul I Dargan; Jacek Sein Anand
Journal:  PLoS One       Date:  2021-03-11       Impact factor: 3.240

5.  Risk factors for acute kidney injury in severe rhabdomyolysis.

Authors:  Eva Rodríguez; María J Soler; Oana Rap; Clara Barrios; María A Orfila; Julio Pascual
Journal:  PLoS One       Date:  2013-12-18       Impact factor: 3.240

6.  Severe hypercalcemia complicating recovery of acute kidney injury due to rhabdomyolysis.

Authors:  Lisa Aimee Hechanova; Seyed-Ali Sadjadi
Journal:  Am J Case Rep       Date:  2014-09-14
  6 in total

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