A long journey for acute kidney injury biomarkers

Acute kidney injury (AKI) is a life-threatening illness that continues to have an in-hospital mortality rate of patients with AKI ranges from 20% to 50% or greater, depending on underlying conditions. However, it has only marginally declined over the past 25 years. Previous authoritative publication...

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Main Author: Dong-Jin Oh
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Renal Failure
Subjects:
aki
Online Access:http://dx.doi.org/10.1080/0886022X.2020.1721300
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spelling doaj-775d87eeb0444920a932f308ca3eeec22021-03-18T14:42:05ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492020-01-0142115416510.1080/0886022X.2020.17213001721300A long journey for acute kidney injury biomarkersDong-Jin Oh0Division of Nephrology, Department of Internal Medicine, Myongji Hospital, Hanyang University College of MedicineAcute kidney injury (AKI) is a life-threatening illness that continues to have an in-hospital mortality rate of patients with AKI ranges from 20% to 50% or greater, depending on underlying conditions. However, it has only marginally declined over the past 25 years. Previous authoritative publications have been pointed out that the lack of useful biomarkers for AKI has limited progress in improving the outcomes of this disorder. The purpose of this paper is to review the recent biomarkers involved in the early detection of AKI and main reasons for the failure to identify new AKI biomarkers. So far, several new AKI biomarkers have been discovered and validated to improve early diagnosis, degree of severity, pathophysiology, differential diagnosis, prediction for major kidney adverse events (MAKE, risk groups for progressive renal failure, need for renal replacement therapy [RRT], or death). These biomarkers can be classified into functional, damage and pre-injury phase biomarkers. However, the clinical use of the studied biomarkers in AKI prediction remains unclear because large prospective multicenter trials have failed to demonstrate troponin-like diagnostic performance. Reasons for the failure to identify AKI biomarkers are the heterogeneity of AKI itself, biomarker limitations and long roads to the validation of candidates for new AKI biomarkers. In an effort to overcome these barriers to identifying new AKI biomarkers, kidney biopsy specimens should be obtained and assessed in human AKI populations. Research in this field should be carried out in a pan-social approach rather than conducted by just a few medical institutions.http://dx.doi.org/10.1080/0886022X.2020.1721300akibiomarkerspre-injury phasetissue-drivenjourney
collection DOAJ
language English
format Article
sources DOAJ
author Dong-Jin Oh
spellingShingle Dong-Jin Oh
A long journey for acute kidney injury biomarkers
Renal Failure
aki
biomarkers
pre-injury phase
tissue-driven
journey
author_facet Dong-Jin Oh
author_sort Dong-Jin Oh
title A long journey for acute kidney injury biomarkers
title_short A long journey for acute kidney injury biomarkers
title_full A long journey for acute kidney injury biomarkers
title_fullStr A long journey for acute kidney injury biomarkers
title_full_unstemmed A long journey for acute kidney injury biomarkers
title_sort long journey for acute kidney injury biomarkers
publisher Taylor & Francis Group
series Renal Failure
issn 0886-022X
1525-6049
publishDate 2020-01-01
description Acute kidney injury (AKI) is a life-threatening illness that continues to have an in-hospital mortality rate of patients with AKI ranges from 20% to 50% or greater, depending on underlying conditions. However, it has only marginally declined over the past 25 years. Previous authoritative publications have been pointed out that the lack of useful biomarkers for AKI has limited progress in improving the outcomes of this disorder. The purpose of this paper is to review the recent biomarkers involved in the early detection of AKI and main reasons for the failure to identify new AKI biomarkers. So far, several new AKI biomarkers have been discovered and validated to improve early diagnosis, degree of severity, pathophysiology, differential diagnosis, prediction for major kidney adverse events (MAKE, risk groups for progressive renal failure, need for renal replacement therapy [RRT], or death). These biomarkers can be classified into functional, damage and pre-injury phase biomarkers. However, the clinical use of the studied biomarkers in AKI prediction remains unclear because large prospective multicenter trials have failed to demonstrate troponin-like diagnostic performance. Reasons for the failure to identify AKI biomarkers are the heterogeneity of AKI itself, biomarker limitations and long roads to the validation of candidates for new AKI biomarkers. In an effort to overcome these barriers to identifying new AKI biomarkers, kidney biopsy specimens should be obtained and assessed in human AKI populations. Research in this field should be carried out in a pan-social approach rather than conducted by just a few medical institutions.
topic aki
biomarkers
pre-injury phase
tissue-driven
journey
url http://dx.doi.org/10.1080/0886022X.2020.1721300
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