Real-time glomerular filtration rate: improving sensitivity, accuracy and prognostic value in acute kidney injury.

Details

Serval ID
serval:BIB_6B7562698AF4
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Real-time glomerular filtration rate: improving sensitivity, accuracy and prognostic value in acute kidney injury.
Journal
Current opinion in critical care
Author(s)
Schneider A.G., Molitoris B.A.
ISSN
1531-7072 (Electronic)
ISSN-L
1070-5295
Publication state
Published
Issued date
12/2020
Peer-reviewed
Oui
Volume
26
Number
6
Pages
549-555
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Acute kidney injury (AKI) is common and associated with high patient mortality, and accelerated progression to chronic kidney disease. Our ability to diagnose and stratify patients with AKI is paramount for translational progress. Unfortunately, currently available methods have major pitfalls. Serum creatinine is an insensitive functional biomarker of AKI, slow to register the event and influenced by multiple variables. Cystatin C, a proposed alternative, requires long laboratory processing and also lacks specificity. Other techniques are either very cumbersome (inuline, iohexol) or involve administration of radioactive products, and are therefore, not applicable on a large scale.
The development of two optical measurement techniques utilizing novel minimally invasive techniques to quantify kidney function, independent of serum or urinary measurements is advancing. Utilization of both one and two compartmental models, as well as continuous monitoring, are being developed.
The clinical utility of rapid GFR measurements in AKI patients remains unknown as these disruptive technologies have not been tested in studies exploring clinical outcomes. However, these approaches have the potential to improve our understanding of AKI and clinical care. This overdue technology has the potential to individualize patient care and foster therapeutic success in AKI.
Pubmed
Web of science
Create date
09/10/2020 14:46
Last modification date
14/06/2022 6:36
Usage data