Predicting acute kidney injury: current status and future challenges

Simona Pozzoli, M Simonini, P Manunta

Research output: Contribution to journalArticle

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. © 2017 The Author(s)
Original languageEnglish
Pages (from-to)209-223
Number of pages15
JournalJournal of Nephrology
Volume31
Issue number2
DOIs
Publication statusPublished - 2018

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