Performance of Nuclear Magnetic Resonance-Based Estimated Glomerular Filtration Rate in a Real-World Setting.

CKD CKD-EPI2021Cr equation CKD-EPI2021CrCys equation GFRNMR equation NMR chronic kidney disease eGFR glomerular filtration rate mGFR routine sample validation

Journal

Bioengineering (Basel, Switzerland)
ISSN: 2306-5354
Titre abrégé: Bioengineering (Basel)
Pays: Switzerland
ID NLM: 101676056

Informations de publication

Date de publication:
13 Jun 2023
Historique:
received: 20 04 2023
revised: 25 05 2023
accepted: 06 06 2023
medline: 28 6 2023
pubmed: 28 6 2023
entrez: 28 6 2023
Statut: epublish

Résumé

An accurate estimate of glomerular filtration rate (eGFR) is essential for proper clinical management, especially in patients with kidney dysfunction. This prospective observational study evaluated the real-world performance of the nuclear magnetic resonance (NMR)-based GFR

Identifiants

pubmed: 37370648
pii: bioengineering10060717
doi: 10.3390/bioengineering10060717
pmc: PMC10295228
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Amauri Schwäble Santamaria (A)

Department of Research and Development, Numares AG, 93053 Regensburg, Germany.

Marcello Grassi (M)

Department of Research and Development, Numares AG, 93053 Regensburg, Germany.

Jeffrey W Meeusen (JW)

Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.

John C Lieske (JC)

Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA.

Renee Scott (R)

Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.

Andrew Robertson (A)

Department of Research and Development, Numares AG, 93053 Regensburg, Germany.

Eric Schiffer (E)

Department of Research and Development, Numares AG, 93053 Regensburg, Germany.

Classifications MeSH