Combined Use of Serum Uromodulin and eGFR to Estimate Mortality Risk

Babak Yazdani1, Graciela E Delgado1,2, Hubert Scharnagl3

  • 1Vth Department of Medicine (Nephrology, Hypertensiology, Rheumatology, Endocrinology, Diabetology), Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.

Frontiers in Medicine
|September 27, 2021
PubMed

Insights

Discordance between serum uromodulin (sUmod) and estimated glomerular filtration rate (eGFR) impacts mortality risk. Patients with low sUmod but normal eGFR face increased mortality, suggesting sUmod offers valuable prognostic information beyond eGFR alone.

Area of Science:

  • Nephrology
  • Cardiology
  • Biomarker Research

Background:

  • Serum uromodulin (sUmod) correlates with kidney function (eGFR) and mortality.
  • Discordance between sUmod and eGFR exists in some patients, potentially altering mortality risk.
  • Existing risk prediction models may not fully capture mortality risk in patients with discordant sUmod and eGFR levels.

Purpose of the Study:

  • To investigate the differential impact of serum uromodulin (sUmod) and estimated glomerular filtration rate (eGFR) discordance on all-cause mortality.
  • To explore the clinical and metabolic patterns associated with distinct sUmod/eGFR subgroups.
  • To assess the added value of sUmod in risk stratification models for patients with impaired kidney function.

Main Methods:

  • Analysis of two prospective cohorts (LURIC and VIVIT) including 3,057 and 529 participants, respectively.
  • Categorization of participants into four groups based on median sUmod and eGFR levels: high/high, low/low, high sUmod/low eGFR, and low sUmod/high eGFR.
  • Calculation of hazard ratios for all-cause mortality, adjusted for cardiovascular risk factors, and assessment of risk prediction model performance.

Main Results:

  • Patients with low sUmod and normal eGFR (ULGH) exhibited significantly increased mortality risk (HRs ranging from 1.32 to 2.06 compared to high/high group).
  • Discordant subgroups (ULGL, UHGL, ULGH) showed varying mortality risks, highlighting distinct prognostic implications.
  • Incorporating sUmod into risk models alongside eGFR improved predictive accuracy (AUC) in the LURIC cohort.

Conclusions:

  • Serum uromodulin/eGFR subgroups represent distinct clinical and metabolic profiles.
  • Assessing sUmod in addition to creatinine or cystatin C-based eGFR can refine mortality risk prediction.
  • sUmod measurement offers potential for improved risk stratification in patients with kidney disease.

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