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

Schwäble Santamaria, Amauri; Grassi, Marcello; Meeusen, Jeffrey W; Lieske, John C; Scott, Renee; Robertson, Andrew; Schiffer, Eric

Schwäble Santamaria, Amauri; Grassi, Marcello; Meeusen, Jeffrey W; Lieske, John C; Scott, Renee; Robertson, Andrew; Schiffer, Eric.

Affiliation

Schwäble Santamaria A; Department of Research and Development, Numares AG, 93053 Regensburg, Germany.
Grassi M; Department of Research and Development, Numares AG, 93053 Regensburg, Germany.
Meeusen JW; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Lieske JC; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Scott R; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN 55905, USA.
Robertson A; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Schiffer E; Department of Research and Development, Numares AG, 93053 Regensburg, Germany.

Bioengineering (Basel) ; 10(6)2023 Jun 13.

Article de En | MEDLINE | ID: mdl-37370648

Mots clés

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

Texte intégral

Ajouter à My VHL

Imprimer

XML

PubMed Links

Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Observational_studies Langue: En Journal: Bioengineering (Basel) Année: 2023 Type de document: Article Pays d'affiliation: Allemagne Pays de publication: Suisse

Texte intégral

Ajouter à My VHL

Imprimer

XML

PubMed Links

Recherche sur Google