Biomarkers for AKI improve clinical practice: yes
Author:
Publisher
Springer Science and Business Media LLC
Subject
Critical Care and Intensive Care Medicine
Link
http://link.springer.com/content/pdf/10.1007/s00134-014-3530-2.pdf
Reference19 articles.
1. Nisula S, Kaukonen KM, Vaara ST et al (2013) Incidence, risk factors and 90-day mortality of patients with acute kidney injury in Finnish intensive care units: the finnaki study. Intensive Care Med 39:420–428. doi: 10.1007/s00134-012-2796-5
2. Kerr M, Bedford M, Matthews B, O’Donoghue D (2014) The economic impact of acute kidney injury in England. Nephrol Dial Transpl 29:1362–1368. doi: 10.1093/ndt/gfu016
3. Kellum JA, Lameire N, for the KDIGO AKI Guideline Work Group (2013) Diagnosis, evaluation, and management of acute kidney injury: a KDIGO summary (Part 1). Crit Care 17:204. doi: 10.1186/cc11454
4. Prowle JR, Liu Y-L, Licari E et al (2011) Oliguria as predictive biomarker of acute kidney injury in critically ill patients. Crit Care 15:R172. doi: 10.1186/cc10318
5. Mandelbaum T, Lee J, Scott DJ et al (2013) Empirical relationships among oliguria, creatinine, mortality, and renal replacement therapy in the critically ill. Intensive Care Med 39:414–419. doi: 10.1007/s00134-012-2767-x
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