Estimating Glomerular Filtration Rate from Serum Myo-Inositol, Valine, Creatinine and Cystatin C

• DOI: 10.3390/diagnostics11122291
• Publication Date: 2021-12-07T14:52:29Z
• Authors: Frank Stämmler; Marcello Grassi; Jeffrey Meeusen; John Lieske; Surendra Dasari; Laurence Dubourg; Sandrine Lemoine; Jochen Ehrich; Eric Schiffer
• Keywords: Medicine (General); glomerular filtration rate; [SDV]Life Sciences [q-bio]; metabolite; eGFR equation; glomerular filtration rate; eGFR; filtration markers; metabolite; NMR; chronic kidney disease; CKD; eGFR equation; serum creatinine; cystatin C; filtration markers; NMR; serum creatinine; Article; 3. Good health; [SDV] Life Sciences [q-bio]; 03 medical and health sciences; R5-920; 0302 clinical medicine; cystatin C; 616; CKD; eGFR; chronic kidney disease

Assessment of renal function relies on the estimation glomerular filtration rate (eGFR). Existing eGFR equations, usually based serum levels creatinine and/or cystatin C, are not uniformly accurate across patient populations. In present study, we expanded a recent proof-of-concept approach to optimize an equation targeting adult population with and without chronic kidney disease (CKD), nuclear magnetic resonance spectroscopy (NMR) derived 'metabolite constellation' (GFR