Serum myo-inositol and valine improve metabolomic-based estimated glomerular filtration rate among kidney transplant recipients

Jeffrey W. Meeusen, Frank Stämmler, Surendra Dasari, Eric Schiffer, John C. Lieske

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Close monitoring of glomerular filtration rate (GFR) is essential for the management of patients post kidney transplantation. Measured GFR (mGFR), the gold standard, is not readily accessible in most centers. Furthermore, the performance of new estimated GFR (eGFR) equations based upon creatinine and/or cystatin C have not been validated in kidney transplant patients. Here we evaluate a recently published eGFR equation using cystatin C, creatinine, myo-inositol and valine as measured by nuclear magnetic resonance (eGFRNMR). Methods: Residual sera was obtained from a cohort of patients with clinically ordered iothalamate renal clearance mGFR (n = 602). Kidney transplant recipients accounted for 220 (37%) of participants. Results: Compared to mGFR, there was no significant bias for eGFRcr or eGFRNMR, while eGFRcr-cys significantly underestimated mGFR. P30 values were similar for all eGFR. P15 was significantly higher for eGFRNMR compared to eGFRcr, while the P15 for eGFRcr-cys only improved among patients without a kidney transplant. Agreement with mGFR CKD stages of <15, 30, 45, 60, and 90 ml/min/1.73 m2 was identical for eGFRcr and eGFRcr-cys (61.8%, both cases) while eGFRNMR was significantly higher (66.4%) among patients with a kidney transplant. Conclusion: The 2021 CKD-EPI eGFRcr and eGFRcr-cys have similar bias, P15, and agreement while eGFRNMR more closely matched mGFR with the strongest improvement among kidney transplant recipients.

Original languageEnglish (US)
Article number988989
JournalFrontiers in Medicine
Volume9
DOIs
StatePublished - Nov 17 2022

Keywords

  • creatinine
  • cystatin C
  • glomerular filtration rate
  • iothalamate clearance
  • magnetic resonance spectroscopy

ASJC Scopus subject areas

  • General Medicine

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