Additional file 2: of The predictive value of early acute kidney injury for long-term survival and quality of life of critically ill patients

Soliman, Ivo; Frencken, Jos; Peelen, Linda; Slooter, Arjen; Cremer, Olaf; van Delden, Johannes; van Dijk, Diederik; de Lange, Dylan

doi:10.6084/m9.figshare.c.3624515_D3.v1

13054_2016_1416_MOESM2_ESM.docx (117.53 kB)

Additional file 2: of The predictive value of early acute kidney injury for long-term survival and quality of life of critically ill patients

journal contribution

posted on 2016-08-03, 05:00 authored by Ivo Soliman, Jos Frencken, Linda Peelen, Arjen Slooter, Olaf Cremer, Johannes van Delden, Diederik van Dijk, Dylan de Lange

Automated RIFLE classification. Consists of a condensed guide on how to replicate our AKI algorithm. Additionally, the associations between the separate parameters to classify RIFLE AKI and poor outcome is shown. (DOCX 117 kb)

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NutsOhra Foundation

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Acute kidney injury AKI HRQoL Health related quality of life Intensive care Critical care Outcome Long-term Prognosis

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CC BY + CC0

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Additional file 2: of The predictive value of early acute kidney injury for long-term survival and quality of life of critically ill patients

Funding

NutsOhra Foundation

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