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Friday, June 23rd, 2017
Table of Contents

1 Introduction
5 PMID
 [F] Diseases Research  / PubMed Research Articles  /
Predicting acute kidney injury: current status and future challenges.

PubMed

 

Resource

Journal of nephrology 2017 Jun 18; ()

Authors

Pozzoli S1; Simonini M2; Manunta P3;

Author Information
  • 1Chair of Nephrology - IRCCS San Raffaele Scientific Institute, Genomics of Renal Diseases and Hypertension Unit, Università Vita Salute San Raffaele, Via Olgettina 60, 20132, Milan, Italy.
  • 2Chair of Nephrology - IRCCS San Raffaele Scientific Institute, Genomics of Renal Diseases and Hypertension Unit, Università Vita Salute San Raffaele, Via Olgettina 60, 20132, Milan, Italy. simonini.marco@hsr.it.
  • 3Chair of Nephrology - IRCCS San Raffaele Scientific Institute, Genomics of Renal Diseases and Hypertension Unit, Università Vita Salute San Raffaele, Via Olgettina 60, 20132, Milan, Italy.

Abstract

Acute kidney injury (AKI) is characterized by an acute decline in renal function and is associated to increased mortality rate, hospitalization time, and total health-related costs. The severity of this 'fearsome' clinical complication might depend on, or even be worsened by, the late detection of AKI, when the diagnosis is based on the elevation of serum creatinine (SCr). For these reasons, in recent years a great number of new tools, biomarkers and predictive models have been proposed to clinicians in order to improve diagnosis and prevent the development of AKI. The purpose of this narrative paper is to review the current state of the art in prediction and early detection of AKI and outline future challenges.



PMID

28624882

Others

Publication Type: Journal Article, Review


This article is licensed under the the National Library of Medicine License. It uses material from the PubMed National Library of Medicine Data.


Last Modified:   2016-03-27


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