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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.
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.
Abstract:
Serum uromodulin (sUmod) shows a strong direct correlation with eGFR in patients with impaired kidney function and an inverse association with mortality. However, there are patients in whom only one of both markers is decreased. Therefore, we aimed to investigate the effect of marker discordance on mortality risk. sUmod and eGFR were available in 3,057 participants of the Ludwigshafen Risk and Cardiovascular Health study and 529 participants of the VIVIT study. Both studies are monocentric prospective studies of patients that had been referred for coronary angiography. Participants were categorized into four groups according to the median values of sUmod (LURIC: 146 ng/ml, VIVIT: 156) and eGFR (LURIC: 84 ml/min/1.73 m2, VIVIT: 87). In 945 LURIC participants both markers were high (UHGH), in 935 both were low (ULGL), in 589 only eGFR (UHGL), and in 582 only sUmod (ULGH) was low. After balancing the groups for cardiovascular risk factors, hazard ratios (95%CI) for all-cause mortality as compared to UHGH were 2.03 (1.63-2.52), 1.43 (1.13-1.81), and 1.32 (1.03-1.69) for ULGL, UHGL, and ULGH, respectively. In VIVIT, HRs were 3.12 (1.38-7.08), 2.38 (1.01-5.61), and 2.06 (0.81-5.22). Adding uromodulin to risk prediction models that already included eGFR as a covariate slightly increased the Harrell's C and significantly improved the AUC in LURIC. In UHGL patients, hypertension, heart failure and upregulation of the renin-angiotensin-aldosterone-system seem to be the driving forces of disease development, whereas in ULGH patients metabolic disturbances might be key drivers of increased mortality. In conclusion, SUmod/eGFR subgroups mirror distinct metabolic and clinical patterns. Assessing sUmod additionally to creatinine or cystatin C has the potential to allow a more precise risk modeling and might improve risk stratification.
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