Heart failure & cardiomyopathiesCohort study

Effect of Guideline-directed Medical Therapy (GDMT) Optimization on KDIGO Risk Categories in HFrEF

JACC AdvPublication date not resolved

  • registry
  • Consecutive
  • baseline and 12-month follow-up data

Authors' conclusion

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.

Study context

Population
HFrEF outpatients from the VIENNA-HF registryConsecutive HFrEF outpatients with baseline and 12-month follow-up data
Participants
234 outpatients
Exposure
KDIGO risk categories and trajectories following GDMT optimization, and their association with renal and heart failure (HF) outcomes

Main finding

As reported in the abstract

GDMT dosages · follow-up
  • GDMT dosages significantly increased

Observational data: associations, not effects.

Further findings

Estimated glomerular filtration rate (eGFR) · follow-up

eGFR declined (baseline vs follow-up)
60 vs 56 mL/min/1.73 m²
  • P = 0.007

Urine albumin-to-creatinine ratio (UACR) · follow-up

UACR improved (baseline vs follow-up)
31 vs 24 mg/g
  • P = 0.003

KDIGO trajectories

stable
56%
worsening
24%
improved
20%

Renal events across baseline KDIGO risk classes · 2-years estimate

Event rates increased stepwise across baseline KDIGO risk classes
4% vs 12% vs 15% vs 27%
  • P < 0.001

HF events across baseline KDIGO risk classes · 2-years estimate

Event rates increased stepwise across baseline KDIGO risk classes
19% vs 29% vs 37% vs 56%
  • P < 0.001

Renal events by KDIGO trajectory · 2-year estimate

worsening KDIGO trajectories were associated with higher event rates
6% vs 15% vs 21%
  • P = 0.034

HF events by KDIGO trajectory · 2-year estimate

worsening KDIGO trajectories were associated with higher event rates
11% vs 43% vs 46%
  • P = 0.007

Reclassifications

UACR sole determinant
35% of cases
UACR contributed to over half of all reclassifications

Original publication

Effect of GDMT Optimization on KDIGO Risk Categories in HFrEF. JACC Adv. doi:10.1016/j.jacadv.2026.102822

Summarised from the published abstract; every number is checked against it