70
Views
16
CrossRef citations to date
0
Altmetric
Reviews

Kidney injury molecule-1 as an early detection tool for acute kidney injury and other kidney diseases

, MD & , MD
Pages 161-173 | Published online: 25 Jan 2011
 

Abstract

Introduction: Although change in serum creatinine is the standard metric tool for the detection of renal injury, its lack of sensitivity has made the early diagnosis of acute kidney injury (AKI) very difficult. In fact, the absence of sensitive AKI biomarkers has impaired progress in the nephrology field and had a detrimental effect on the design and outcome of AKI clinical trials. Recently, several proteins have shown potential in the early detection of acute and chronic kidney injuries.

Areas covered: This review discusses the current status of kidney injury molecule-1 (KIM-1) as a potential diagnostic tool in patients with various acute and chronic kidney diseases. The focus is limited to human studies from January 2002 to July 2010. The review clarifies the clinical conditions for which KIM-1 has the greatest potential utility for early detection of kidney injury. It also demonstrates to the reader the barriers to the successful use of KIM-1 and other biomarkers in clinical practice, and the future trials that will be needed to validate their use.

Expert opinion: Despite the early promise of biomarkers such as KIM-1 for the early detection and prognosis of kidney disease, more studies are required to establish their utility in clinical practice. Indeed, the published clinical studies of urine KIM-1 so far are small and insufficient to support urinary KIM-1 as an effective AKI diagnostic test in humans. It is suggested, through the heterogeneity of AKI and existing published data, that more than one biomarker may be necessary to obtain sufficient sensitivity and specificity for AKI screening.

Notes

This box summarizes key points contained in the article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.