Early Recognition of Persistent Acute Kidney Injury.


Journal

Seminars in nephrology
ISSN: 1558-4488
Titre abrégé: Semin Nephrol
Pays: United States
ID NLM: 8110298

Informations de publication

Date de publication:
09 2019
Historique:
entrez: 14 9 2019
pubmed: 14 9 2019
medline: 19 5 2020
Statut: ppublish

Résumé

Despite the vast amount of literature dedicated to acute kidney injury (AKI) and its clinical consequences, short-term renal recovery has been relatively neglected. Recent studies have suggested that timing of renal recovery is associated with longer-term risk of death, residual renal function, and end-stage renal failure risk. In addition, longer AKI duration is associated with an increased requirement for renal replacement therapy. Comorbidities, especially renal and cardiovascular, severity of AKI, criteria to reach AKI diagnosis, as well as severity of critical illness have been associated with longer AKI duration, and, more specifically, risk of persistent renal dysfunction. Because predicting short-term renal recovery is clinically relevant, several tests, imaging, and biomarkers have been tested in a way to predict the course of AKI and chances for early renal recovery. In this review, the definition of recovery, consequences of persistent AKI, and tools proposed to predict recovery are described. The performance of these tools and their limits are discussed.

Identifiants

pubmed: 31514907
pii: S0270-9295(19)30056-7
doi: 10.1016/j.semnephrol.2019.06.003
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

431-441

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Michaël Darmon (M)

Medical Intensive Care Unit, Saint-Louis University Hospital, AP-HP, Paris, France; Faculté de Médecine, Université Paris-Diderot, Sorbonne-Paris-Cité, Paris, France; ECSTRA Team (Epidémiologie Clinique et Statistiques pour la Recherche en sAnté), Biostatistics and Clinical Epidemiology, UMR 1153, Center of Epidemiology and Biostatistic Sorbonne Paris Cité, INSERM, Paris, France. Electronic address: michael.darmon@aphp.fr.

Anne-Sophie Truche (AS)

Medical Intensive Care Unit, Grenoble University Hospital, La Tronche, France.

Moustapha Abdel-Nabey (M)

Medical Intensive Care Unit, Saint-Louis University Hospital, AP-HP, Paris, France.

David Schnell (D)

Medical-Surgical Intensive Care Unit, Angoulême Hospital, Angoulême, France.

Bertrand Souweine (B)

Medical Intensive Care Unit, Gabriel Montpied University Hospital, Clermont-Ferrand, France.

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Classifications MeSH