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. 2017 Jun 17;31(2):209–223. doi: 10.1007/s40620-017-0416-8

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© The Author(s) 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Fig. 1 — AKI development: distribution of various diagnostic tools across the timeline of the development of acute kidney injury. Clinical predictive models, identification of a favorable genetic background and biomarkers of individual susceptibility (like EO or KIM-1) could be used to identify patients with an increased risk of renal complication. All the other new biomarkers and useful diagnostic tools might be used to determine diagnosis of AKI as early as possible after the damage has occurred