Impact of race-independent equations on estimating glomerular filtration rate for the assessment of kidney dysfunction in liver disease.

ABSTRACT:

Background

Altered hemodynamics in liver disease often results in overestimation of glomerular filtration rate (GFR) by creatinine-based GFR estimating (eGFR) equations. Recently, we have validated a novel eGFR equation based on serum myo-inositol, valine, and creatinine quantified by nuclear magnetic resonance spectroscopy in combination with cystatin C, age and sex (GFR_NMR). We hypothesized that GFR_NMR could improve chronic kidney disease (CKD) classification in the setting of liver disease.

Results

We conducted a retrospective multicenter study in 205 patients with chronic liver disease (CLD), comparing the performance of GFR_NMR to that of validated CKD-EPI eGFR equations, including eGFRcr (based on creatinine) and eGFRcr-cys (based on bot

SUBMITTER: Stammler F 

PROVIDER: S-EPMC10064726 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature