Literature DB >> 25314242

Diagnosis of acute kidney injury: Kidney Disease Improving Global Outcomes criteria and beyond.

Marlies Ostermann1.   

Abstract

PURPOSE OF REVIEW: Acute kidney injury (AKI) is common. Clear criteria and accurate diagnostic tools are essential to diagnose AKI early and correctly. The aims of this review are to outline some of the pitfalls of the Kidney Disease Improving Global Outcomes (KDIGO) classification and to describe other traditional and novel tools to diagnose AKI. RECENT
FINDINGS: The KDIGO classification of AKI is based on changes in serum creatinine and urine output. Misdiagnosis of AKI can occur when using only the KDIGO criteria. Potential pitfalls are related to the fact that neither creatinine nor urine output are renal-specific. Other traditional tools to diagnose AKI are blood urea nitrogen, urine chemistry, urine microscopy and renal biopsy. New diagnostic tools, including novel AKI biomarkers and techniques to measure glomerular filtration rate in real time, are being developed and validated.
SUMMARY: Knowledge about the strengths and weaknesses of traditional diagnostic tests is essential to make the correct diagnosis of AKI. New tests and technical innovations offer the prospect of diagnosing AKI earlier and more accurately.

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Year:  2014        PMID: 25314242     DOI: 10.1097/MCC.0000000000000157

Source DB:  PubMed          Journal:  Curr Opin Crit Care        ISSN: 1070-5295            Impact factor:   3.687


  14 in total

1.  Nephrotoxin Microinjection in Zebrafish to Model Acute Kidney Injury.

Authors:  Robert A McKee; Rebecca A Wingert
Journal:  J Vis Exp       Date:  2016-07-17       Impact factor: 1.355

2.  Urinary biomarkers for the differentiation of prerenal and intrinsic pediatric acute kidney injury.

Authors:  Jens H Westhoff; Alexander Fichtner; Sina Waldherr; Nikolaos Pagonas; Felix S Seibert; Nina Babel; Burkhard Tönshoff; Frederic Bauer; Timm H Westhoff
Journal:  Pediatr Nephrol       Date:  2016-06-11       Impact factor: 3.714

3.  Acute peritoneal dialysis is an efficient and reliable alternative therapy in preterm neonates with acute kidney injury.

Authors:  Yan Xing; Kai Sheng; Hui Liu; Song Wu; Hongling Wei; Rui Li; Jing Wang; Zailing Li; Xiaomei Tong
Journal:  Transl Pediatr       Date:  2021-04

4.  Efficacy and Safety of Stroke Volume Variation-Guided Fluid Therapy for Reducing Blood Loss and Transfusion Requirements During Radical Cystectomy: A Randomized Clinical Trial.

Authors:  Yu-Gyeong Kong; Ji Yoon Kim; Jihion Yu; Jinwook Lim; Jai-Hyun Hwang; Young-Kug Kim
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

5.  Urine biomarkers give early prediction of acute kidney injury and outcome after out-of-hospital cardiac arrest.

Authors:  Sigrid Beitland; Bård Endre Waldum-Grevbo; Espen Rostrup Nakstad; Jens-Petter Berg; Anne-Marie Siebke Trøseid; Berit Sletbakk Brusletto; Cathrine Brunborg; Geir Øystein Andersen; Kjetil Sunde
Journal:  Crit Care       Date:  2016-10-05       Impact factor: 9.097

6.  Acute Kidney Injury Recognition in Low- and Middle-Income Countries.

Authors:  Jorge Cerdá; Sumit Mohan; Guillermo Garcia-Garcia; Vivekanand Jha; Srinivas Samavedam; Swarnalata Gowrishankar; Arvind Bagga; Rajasekara Chakravarthi; Ravindra Mehta
Journal:  Kidney Int Rep       Date:  2017-04-25

7.  Non-invasive continuous renal tissue oxygenation monitoring to identify preterm neonates at risk for acute kidney injury.

Authors:  Matthew W Harer; Claudette O Adegboro; Luke J Richard; Ryan M McAdams
Journal:  Pediatr Nephrol       Date:  2021-01-03       Impact factor: 3.714

8.  Cross-sectional study of the association between functional status and acute kidney injury in geriatric patients.

Authors:  Chia-Ter Chao; Hung-Bin Tsai; Chia-Yi Wu; Nin-Chieh Hsu; Yu-Feng Lin; Jin-Shing Chen; Kuan-Yu Hung
Journal:  BMC Nephrol       Date:  2015-11-09       Impact factor: 2.388

Review 9.  Acute kidney injury 2016: diagnosis and diagnostic workup.

Authors:  Marlies Ostermann; Michael Joannidis
Journal:  Crit Care       Date:  2016-09-27       Impact factor: 9.097

10.  A typology of clinical conditions.

Authors:  Steven Tresker
Journal:  Stud Hist Philos Biol Biomed Sci       Date:  2020-05-22
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