Acute Heart Failure Across the Ejection Fraction Spectrum: Phenotypes, Management, and Outcomes From Nationwide KorHF III Registryopen access
- Authors
- Lee Huijin; Kim Eung Ju; Han Seong Woo; Park Seong-Mi; Kim Hyungseop; Cho Myung-Chan; Ahn Hyo-Suk; Shin Mi-Seung; Hwang Seok-Jae; Jeong Jin-Ok; Yang Dong Heon; Hyun Junho; Choi Jin Oh; Lee Hae-Young; Yoo ByungSu; Kang Seok-Min; Choi Dong-Ju; Cho Hyun-Jai
- Issue Date
- Jan-2026
- Publisher
- 대한심부전학회
- Keywords
- Heart failure; Acute disease; Hospitalization; Phenotype; Guideline adherence
- Citation
- International Journal of Heart Failure, v.8, no.1, pp 43 - 55
- Pages
- 13
- Indexed
- KCI
- Journal Title
- International Journal of Heart Failure
- Volume
- 8
- Number
- 1
- Start Page
- 43
- End Page
- 55
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/82389
- DOI
- 10.36628/ijhf.2025.0061
- ISSN
- 2636-154X
2636-1558
- Abstract
- Background and Objectives: Clinical characteristics and outcomes in acute heart failure (AHF) vary by phenotype. We assessed phenotype-specific features, treatment patterns, and outcomes in a nationwide Korean cohort.
Methods: The Korean Heart Failure III registry prospectively enrolled 7,351 AHF admissions at 47 hospitals. Among 6,777 patients with available left ventricular ejection fraction (EF), phenotypes were defined as heart failure with reduced EF (HFrEF, ≤40%), mildly reduced EF (HFmrEF, 41–49%), or preserved EF (HFpEF, ≥50%). The primary endpoint was a 12-month composite of all-cause death or heart transplantation, evaluated from index admission and, among hospital survivors, from discharge. We used inverse probability weighting (multinomial generalized boosted models with stabilized, trimmed weights) and weighted Cox proportional-hazards models to estimate hazard ratios (HRs).
Results: Phenotype distribution was 58.9% HFrEF, 13.6% HFmrEF, and 27.5% HFpEF. Crude 12-month composite rates from index admission were 13.4% (HFrEF), 12.7% (HFmrEF), and 16.8% (HFpEF). After weighting, from index admission, HFmrEF (HR, 0.892; 95% confidence interval [CI], 0.731–1.088) and HFpEF (HR, 1.101; 95% CI, 0.939–1.291) did not differ from HFrEF; from discharge, HFpEF had modestly higher risk (HR, 1.207; 95% CI, 1.008–1.445) whereas HFmrEF did not (HR, 1.039; 95% CI, 0.844–1.279). Hyponatremia and chronic kidney disease were consistent adverse markers, while angiotensin-converting enzyme inhibitor/ angiotensin II receptor blocker use at discharge was protective.
Conclusions: Across the EF spectrum, phenotypes showed distinct profiles and risk. Postdischarge risk was modestly higher in HFpEF, supporting phenotype-tailored care and systematic discharge optimization in Korean patients with AHF.
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