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RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: a cohort analysis
Open accessAbstract
Introduction: The lack of a standard definition for acute kidney injury has resulted in a large variation in the reported incidence and associated mortality. RIFLE, a newly developed international consensus classification for acute kidney injury, defines three grades of severity – risk (class R), injury (class I) and failure (class F) – but has not yet been evaluated in a clinical series. Methods: We performed a retrospective cohort study, in seven intensive care units in a single tertiary care academic center, on 5,383 patients admitted during a one year period (1 July 2000–30 June 2001). Results: Acute kidney injury occurred in 67% of intensive care unit admissions, with maximum RIFLE class R, class I and class F in 12%, 27% and 28%, respectively. Of the 1,510 patients (28%) that reached a level of risk, 840 (56%) progressed. Patients with maximum RIFLE class R, class I and class F had hospital mortality rates of 8.8%, 11.4% and 26.3%, respectively, compared with 5.5% for patients without acute kidney injury. Additionally, acute kidney injury (hazard ratio, 1.7; 95% confidence interval, 1.28–2.13; P < 0.001) and maximum RIFLE class I (hazard ratio, 1.4; 95% confidence interval, 1.02–1.88; P = 0.037) and class F (hazard ratio, 2.7; 95% confidence interval, 2.03–3.55; P < 0.001) were associated with hospital mortality after adjusting for multiple covariates. Conclusion: In this general intensive care unit population, acute kidney 'risk, injury, failure', as defined by the newly developed RIFLE classification, is associated with increased hospital mortality and resource use. Patients with RIFLE class R are indeed at high risk of progression to class I or class F. Patients with RIFLE class I or class F incur a significantly increased length of stay and an increased risk of inhospital mortality compared with those who do not progress past class R or those who never develop acute kidney injury, even after adjusting for baseline severity of illness, case mix, race, gender and age.
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Vincent, J. L., Moreno, R., Takala, J., Willatts, S., De Mendonça, A., Bruining, H., Reinhart, C. K., Suter, P. M., & Thijs, L. G. (1996) · Intensive Care Medicine · doi:10.1007/bf01709751 · Cited by 11,674
Cited by
Diagnosis, evaluation, and management of acute kidney injury: a KDIGO summary (Part 1)
Kellum, J. A., Lameire, N., & for the KDIGO AKI Guideline Work Group (2013) · Critical Care · doi:10.1186/cc11454 · Cited by 2,827
Self-citationGlobal epidemiology and outcomes of acute kidney injury
Hoste, E. A. J., Kellum, J. A., Selby, N. M., Zarbock, A., Palevsky, P. M., Bagshaw, S. M., Goldstein, S. L., Cerdá, J., & Chawla, L. S. (2018) · Nature Reviews Nephrology · doi:10.1038/s41581-018-0052-0 · Cited by 1,486
Self-citationZarbock, A., Kellum, J. A., Schmidt, C., Van Aken, H., Wempe, C., Pavenstädt, H., Boanta, A., Gerß, J., & Meersch, M. (2016) · JAMA · doi:10.1001/jama.2016.5828 · Cited by 1,143
Self-citationAcute kidney injury-epidemiology, outcomes and economics
Rewa, O., & Bagshaw, S. M. (2014) · Nature Reviews Nephrology · doi:10.1038/nrneph.2013.282 · Cited by 734
The definition of acute kidney injury and its use in practice
Thomas, M. E., Blaine, C., Dawnay, A., Devonald, M. A. J., Ftouh, S., Laing, C., Latchem, S., Lewington, A., Milford, D. V., & Ostermann, M. (2015) · Kidney International · doi:10.1038/ki.2014.328 · Cited by 722
Metadata
- Authors
- Hoste, E. A., Clermont, G., Kersten, A., Venkataraman, R., Angus, D. C., De Bacquer, D., & Kellum, J. A.
- Venue
- Critical Care
- Published
- 2006-05-12
- Volume
- 10
- Issue
- 3
- Pages
- R73-R73
- ISSN
- 1364-8535 (ISSN-L)
- OpenAlex
- W1489794536
- Cited by
- 1,471
- References
- 1
- FWCI
- 50.63
- Type
- journal article
- Language
- en
- Open access
- gold
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- Hoste, E. A., Clermont, G., Kersten, A., Venkataraman, R., Angus, D. C., De Bacquer, D., & Kellum, J. A. (2006). RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: a cohort analysis. Critical Care. https://doi.org/10.1186/cc4915
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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