Absolute and relative GFR and contrast medium dose/GFR ratio: cornerstones when predicting the risk of acute kidney injury.

Acute kidney injury Angiography Computed tomography Contrast media Glomerular filtration rate

Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
04 Aug 2023
Historique:
received: 07 12 2022
accepted: 24 05 2023
revised: 19 05 2023
pubmed: 4 8 2023
medline: 4 8 2023
entrez: 4 8 2023
Statut: aheadofprint

Résumé

Glomerular filtration rate (GFR) is considered the best overall index of kidney function in health and disease and its use is recommended to evaluate the risk of iodine contrast medium-induced acute kidney injury (CI-AKI) either as a single parameter or as a ratio between the total contrast medium dose (gram iodine) and GFR. GFR may be expressed in absolute terms (mL/min) or adjusted/indexed to body surface area, relative GFR (mL/min/1.73 m

Identifiants

pubmed: 37540321
doi: 10.1007/s00330-023-09962-w
pii: 10.1007/s00330-023-09962-w
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Commentaires et corrections

Type : ErratumIn
Type : ErratumIn

Informations de copyright

© 2023. The Author(s).

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Auteurs

Ulf Nyman (U)

Department of Translational Medicine, Division of Medical Radiology, University of Lund, Malmö, Sweden. ulf.nyman@bredband.net.

Peter Leander (P)

Department of Translational Medicine, Division of Medical Radiology, University of Lund, Malmö, Sweden.

Per Liss (P)

Department of Surgical Sciences, Section of Radiology, Uppsala University, Uppsala, Sweden.

Gunnar Sterner (G)

Department of Nephrology, Skåne University Hospital, Malmö, Sweden.

Torkel Brismar (T)

Division of Medical Imaging and Technology, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institute/Karolinska University Hospital, Stockholm, Sweden.
Department of Radiology, Karolinska University Hospital in Huddinge, Stockholm, Sweden.

Classifications MeSH