Performance of Nuclear Magnetic Resonance-Based Estimated Glomerular Filtration Rate in a Real-World Setting
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 equation, which combines...
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Published in | Bioengineering (Basel) Vol. 10; no. 6; p. 717 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI AG
01.06.2023
MDPI |
Subjects | |
Online Access | Get full text |
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Summary: | 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
equation, which combines creatinine, cystatin C, valine, and myo-inositol with age and sex. We compared GFR
performance to that of the 2021 CKD-EPI creatinine and creatinine-cystatin C equations (CKD-EPI
and CKD-EPI
), using 115 fresh routine samples of patients scheduled for urinary iothalamate clearance measurement (mGFR). Median bias to mGFR of the three eGFR equations was comparably low, ranging from 0.4 to 2.0 mL/min/1.73 m
. GFR
outperformed the 2021 CKD-EPI equations in terms of precision (interquartile range to mGFR of 10.5 vs. 17.9 mL/min/1.73 m
for GFR
vs. CKD-EPI
;
= 0.01) and accuracy (P15, P20, and P30 of 66.1% vs. 48.7% [
= 0.007], 80.0% vs. 60.0% [
< 0.001] and 95.7% vs. 86.1% [
= 0.006], respectively, for GFR
vs. CKD-EPI
). Clinical parameters such as etiology, comorbidities, or medications did not significantly alter the performance of the three eGFR equations. Altogether, this study confirmed the utility of GFR
for accurate GFR estimation, and its potential value in routine clinical practice for improved medical care. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors contributed equally to this work. |
ISSN: | 2306-5354 2306-5354 |
DOI: | 10.3390/bioengineering10060717 |