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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.
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.
Background:
Concerns about worsening renal function often limit the use of guideline-directed medical therapy (GDMT) in heart failure (HF) with reduced ejection fraction (HFrEF). Although changes in estimated glomerular filtration rate (eGFR) are commonly monitored during GDMT up-titration, the added value of urine albumin-to-creatinine ratio (UACR) and Kidney Disease: Improving Global Outcomes (KDIGO) risk categories remains less studied.
Objectives:
The objectives of the study were to assess changes in eGFR, UACR, and KDIGO risk categories following GDMT optimization in HFrEF and to evaluate their association with renal and HF outcomes.
Methods:
Consecutive HFrEF (n = 234) outpatients with baseline and 12-month follow-up data were analyzed from the VIENNA-HF registry. KDIGO risk trajectories and their association with renal and HF outcomes were assessed.
Results:
At follow-up, GDMT dosages significantly increased. eGFR declined (60 vs 56 mL/min/1.73 m2; P = 0.007), whereas UACR improved (31 vs 24 mg/g; P = 0.003). 56%, 24%, and 20% of patients exhibited stable, worsening, or improved KDIGO trajectories. UACR contributed to over half of all reclassifications and was the sole determinant in 35% of cases. Event rates increased stepwise across baseline KDIGO risk classes (renal events: 4% vs 12% vs 15% vs 27%; P < 0.001; HF events: 19% vs 29% vs 37% vs 56%; P < 0.001, 2-years estimate). Similarly and worsening KDIGO trajectories were associated with higher event rates (renal events: 6% vs 15% vs 21%; P = 0.034; HF events: 11% vs 43% vs 46%; P = 0.007, 2-year estimate).
Conclusions:
KDIGO risk trajectories vary substantially during GDMT optimization in HFrEF. UACR provides complementary information beyond eGFR and may improve risk stratification for renal and HF outcomes.
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