Effect of GDMT Optimization on KDIGO Risk Categories in HFrEF: Analysis of the VIENNA-HF Registry

Noel G Panagiotides1, Annika Weidenhammer1, Suriya Prausmüller1

  • 1Department of Internal Medicine II, Clinical Division of Cardiology, Medical University of Vienna, Vienna, Austria.

JACC. Advances
|June 18, 2026
PubMed

Insights

Guideline-directed medical therapy (GDMT) optimization in heart failure with reduced ejection fraction (HFrEF) shows varying kidney function trajectories. Urine albumin-to-creatinine ratio (UACR) offers better risk stratification than estimated glomerular filtration rate (eGFR) alone.

Area of Science:

  • Cardiology
  • Nephrology
  • Clinical Medicine

Background:

  • Worsening renal function often limits guideline-directed medical therapy (GDMT) in heart failure with reduced ejection fraction (HFrEF).
  • Estimated glomerular filtration rate (eGFR) changes are monitored, but the value of urine albumin-to-creatinine ratio (UACR) and Kidney Disease: Improving Global Outcomes (KDIGO) risk categories is less studied.

Purpose of the Study:

  • To assess changes in eGFR, UACR, and KDIGO risk categories after GDMT optimization in HFrEF patients.
  • To evaluate the association of these changes with renal and heart failure (HF) outcomes.

Main Methods:

  • Analysis of 234 HFrEF outpatients from the VIENNA-HF registry with 12-month follow-up.
  • Assessment of KDIGO risk trajectories and their association with renal and HF outcomes.

Main Results:

  • eGFR declined, while UACR improved during GDMT up-titration.
  • 56% of patients had stable KDIGO trajectories, 24% worsened, and 20% improved.
  • Worsening KDIGO trajectories and lower baseline KDIGO risk classes were associated with increased renal and HF event rates.

Conclusions:

  • KDIGO risk trajectories show significant variability during GDMT optimization in HFrEF.
  • UACR provides additional information beyond eGFR for risk stratification.
  • UACR may enhance the prediction of renal and HF outcomes in HFrEF patients.
Abstract

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