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Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury
Open accessAbstract
Introduction: Acute kidney injury (AKI) is a complex disorder for which currently there is no accepted definition. Having a uniform standard for diagnosing and classifying AKI would enhance our ability to manage these patients. Future clinical and translational research in AKI will require collaborative networks of investigators drawn from various disciplines, dissemination of information via multidisciplinary joint conferences and publications, and improved translation of knowledge from pre-clinical research. We describe an initiative to develop uniform standards for defining and classifying AKI and to establish a forum for multidisciplinary interaction to improve care for patients with or at risk for AKI. Methods: Members representing key societies in critical care and nephrology along with additional experts in adult and pediatric AKI participated in a two day conference in Amsterdam, The Netherlands, in September 2005 and were assigned to one of three workgroups. Each group's discussions formed the basis for draft recommendations that were later refined and improved during discussion with the larger group. Dissenting opinions were also noted. The final draft recommendations were circulated to all participants and subsequently agreed upon as the consensus recommendations for this report. Participating societies endorsed the recommendations and agreed to help disseminate the results. Results: The term AKI is proposed to represent the entire spectrum of acute renal failure. Diagnostic criteria for AKI are proposed based on acute alterations in serum creatinine or urine output. A staging system for AKI which reflects quantitative changes in serum creatinine and urine output has been developed. Conclusion: We describe the formation of a multidisciplinary collaborative network focused on AKI. We have proposed uniform standards for diagnosing and classifying AKI which will need to be validated in future studies. The Acute Kidney Injury Network offers a mechanism for proceeding with efforts to improve patient outcomes.
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Citations
Cited by
Targeting the KEAP1-NRF2 system to prevent kidney disease progression
Nezu, M., Suzuki, N., & Yamamoto, M. (2017) · American Journal of Nephrology · doi:10.1159/000475890 · Cited by 3,447
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-citationRonco, C., Bellomo, R., & Kellum, J. A. (2019) · The Lancet · doi:10.1016/s0140-6736(19)32563-2 · Cited by 1,910
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-citationSaeed, M., Villarroel, M., Reisner, A. T., Clifford, G., Lehman, L.-W., Moody, G., Heldt, T., Kyaw, T. H., Moody, B., & Mark, R. G. (2011) · Critical Care Medicine · doi:10.1097/ccm.0b013e31820a92c6 · Cited by 1,162
Metadata
- Authors
- Mehta, R. L., Kellum, J. A., Shah, S. V., Molitoris, B. A., Ronco, C., Warnock, D. G., Levin, A., & the Acute Kidney Injury Network
- Venue
- Critical Care
- Published
- 2007-03-01
- Volume
- 11
- Issue
- 2
- Pages
- R31-R31
- ISSN
- 1364-8535 (ISSN-L)
- OpenAlex
- W1967300023
- Cited by
- 7,048
- References
- 0
- FWCI
- 131.05
- Type
- journal article
- Language
- en
- Open access
- gold
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- Mehta, R. L., Kellum, J. A., Shah, S. V., Molitoris, B. A., Ronco, C., Warnock, D. G., Levin, A., & the Acute Kidney Injury Network. (2007). Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury. Critical Care. https://doi.org/10.1186/cc5713
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.