Serum procalcitonin levels predict acute kidney injury in critically ill patients-Reference-Cited by-同舟云学术

Serum procalcitonin levels predict acute kidney injury in critically ill patients

Published:2018-11-28 Issue:12 Volume:23 Page:1090-1095
ISSN:1320-5358
Container-title:Nephrology
language:en
Short-container-title:Nephrology

Author:

Jeeha Rajeev¹^ORCID,Skinner David L²^ORCID,De Vasconcellos Kim²,Magula Nombulelo P¹

Affiliation:

1. Department of Internal Medicine; University of KwaZulu-Natal, King Edward VIII Hospital - Intensive Care Unit; Durban South Africa

2. Department of Anaesthesiology and Critical Care; University of KwaZulu-Natal, King Edward VIII Hospital - Intensive Care Unit; Durban South Africa

Publisher

Wiley

Subject

Nephrology,General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/nep.13174/fullpdf

Reference25 articles.

1. AKI in low-risk versus high-risk patients in intensive care;Sileanu;Clin. J. Am. Soc. Nephrol.,2015

2. Epidemiology of acute kidney injury in critically ill patients: The multinational AKI-EPI study;Hoste;Intensive Care Med.,2015

3. A prospective international multicenter study of AKI in the intensive care unit;Bouchard;Clin. J. Am. Soc. Nephrol.,2015

4. Correlation between the AKI classification and outcome;Ostermann;Crit. Care,2008

5. The spectrum of acute renal failure in the intensive care unit compared with that seen in other settings. The Madrid Acute Renal Failure Study Group;Liaño;Kidney Int. Suppl.,1998

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