Abstract
Background
Optimal medical treatment can lead to improvement in left ventricular ejection fraction (LVEF) in patients with heart failure with reduced EF (HFrEF). We investigated the characteristics, predictors, and outcomes of HFrEF according to the 1‐year LVEF following angiotensin receptor–neprilysin inhibitors therapy (ARNI).
Methods and Results
Using the STRATS‐HF‐ARNI (Strain for Risk Assessment and Therapeutic Strategies in Patients With Heart Failure Treated With Angiotensin Receptor‐Neprilysin Inhibitor) registry, we identified 1074 patients with HFrEF who took ARNI and underwent baseline and 1‐year echocardiography. Patients were classified as HF with improved ejection fraction (HFimpEF) and persistent HFrEF (perHFrEF) (1‐year LVEF >40% and ≤40%). The primary and secondary outcomes were all‐cause and cardiac mortality from the 1‐year follow‐up. Among 1074 included patients, 498 (46.4%) had HFimpEF, and 576 (53.6%) had perHFrEF. Older age, male sex, and large LV end‐diastolic volumes were positive predictors of perHFrEF, whereas atrial fibrillation and high systolic blood pressure were identified as inverse predictors. Patients with HFimpEF showed lower all‐cause and cardiac mortality rates (both log‐rank P<0.001). In the multivariable analysis, perHFrEF (hazard ratio, 2.402 [95% CI, 1.251–4.610]; P=0.008) was an independent predictor of poor outcomes. The risk of all‐cause mortality decreased as the 1‐year LVEF increased up to 40%; however, no additional risk reduction was observed beyond 40%. Compared with patients taking renin‐angiotensin‐aldosterone system inhibitors in the STRATS‐AHF (Strain for Risk Assessment and Therapeutic Strategies in Patients With Acute Heart Failure) registry, those in the STRATS‐HF‐ARNI registry demonstrated better outcomes in both HFimpEF and perHFrEF.
Conclusions
Patients with HFimpEF had better prognosis than those with perHFrEF, and ARNI treatment in HFrEF could be more beneficial than renin‐angiotensin‐aldosterone system inhibitors for both HFimpEF and perHFrEF.
Registration
URL: https://www.who.int/clinical‐trials‐registry‐platform; Unique identifier: KCT0008098.
Keywords: ARNI, ejection fraction, heart failure, mortality
Subject Categories: Heart Failure
Nonstandard Abbreviations and Acronyms
- ARNI
angiotensin receptor–neprilysin inhibitor
- GDMT
guideline‐directed medical therapy
- HFimpEF
heart failure with improved ejection fraction
- HFrEF
heart failure with reduced ejection fraction
- RASi
renin‐angiotensin‐aldosterone system inhibitor
Clinical Perspective.
What Is New?
Among patients with heart failure with reduced ejection fraction (HFrEF) treated with angiotensin receptor–neprilysin inhibitors, 45.6% were diagnosed with HF with improved EF (HFimpEF) at 1‐year follow‐up; older age, male sex, and a large left ventricular end‐diastolic volume were identified as positive predictors for persistent HFrEF, whereas atrial fibrillation and systolic blood pressure were identified as inverse predictors.
Patients with HFimpEF exhibited lower all‐cause and cardiac mortality rates compared with those with persistent HFrEF; the risks of all‐cause mortality decreased as the 1‐year left ventricular EF approached 40%; no additional improvement was observed beyond this threshold.
Compared with patients taking renin‐angiotensin‐aldosterone system inhibitors in the STRATS‐AHF (Strain for Risk Assessment and Therapeutic Strategies in Patients With Acute Heart Failure) registry, those in the STRATS‐HF‐ARNI (Strain for Risk Assessment and Therapeutic Strategies in Patients With Heart Failure Treated With Angiotensin Receptor‐Neprilysin Inhibitor) registry demonstrated better outcomes in both HFimpEF and persistent HFrEF groups.
What Are the Clinical Implications?
Considering the observed prognostic differences, defining HFimpEF with a follow‐up left ventricular EF of 40% would be appropriate, although further studies are required to validate our results.
Because adherence to guideline‐directed medical therapy is beneficial not only for patients with persistent HFrEF but also for those with HFimpEF, patients should adhere to guideline‐directed medical therapy incorporating angiotensin receptor–neprilysin inhibitors regardless of the 1‐year left ventricular EF (≤40% or >40%).
Heart failure (HF) is recognized as a global epidemic and poses a significant clinical and social burden. 1 , 2 Previous studies have attempted to identify the prognostic factors and elucidate therapeutic approaches, with clinical guidelines playing a pivotal role in providing comprehensive strategies to improve clinical outcomes. 3 , 4 , 5 Current guidelines categorize patients with HF based on their left ventricular ejection fraction (LVEF): LVEF ≤40% (HF with reduced EF [HFrEF]), LVEF 41% to 49% (HF with midrange EF), and LVEF ≥50% (HF with preserved EF). 3 , 4 , 5
Sacubitril/valsartan, an angiotensin receptor–neprilysin inhibitor (ARNI), was developed to counteract neurohumoral overactivation, leading to volume overload and pathologic remodeling in patients with HF, while minimizing the risks of severe angioedema. 6 , 7 Demonstrating superior outcomes in reducing all‐cause mortality, cardiovascular mortality, and hospitalization due to worsening HF compared with enalapril, 8 ARNI has become a cornerstone in guideline‐directed medical therapy (GDMT) for HFrEF. 3 , 4 , 5
Recent studies have explored patients with HF with a history of an LVEF of ≤40% who later present with a higher LVEF. These patients are now identified as having HF with improved ejection fraction (HFimpEF), distinguishing them from those with HF with midrange EF or HF with preserved EF owing to their distinct prognoses. 9 , 10 However, limited data are available on the characteristics, predictors, and clinical outcomes of HFimpEF, especially among those treated with ARNI. 9 , 11
Using data from the multicenter registry, we identified patients with HFrEF taking ARNI and classified them as either the group with HFimpEF or the group with persistent HFrEF based on the 1‐year echocardiography findings. Subsequently, we investigated the clinical characteristics, predictors, and outcomes of these patients.
METHODS
The data supporting the findings of this study are available from the corresponding author upon reasonable request.
Ethical Statement and Data Availability
This study was conducted according to the principles of the Declaration of Helsinki. This study was approved by the Institutional Review Board of Seoul National University Hospital (IRB no. J‐2212‐034‐1383) and Seoul National University Bundang Hospital (IRB no. B‐2005‐615‐108). The requirement for informed consent was waived because anonymized data were analyzed.
Study Design
The STRATS‐HF‐ARNI (Strain for Risk Assessment and Therapeutic Strategies in Patients With Heart Failure treated With Angiotensin Receptor‐Neprilysin Inhibitor) study was registered with the Clinical Research Information Service of the Ministry of Health and Welfare of the Republic of Korea (registration number: KCT0008098). Briefly, we consecutively included 2757 patients who were diagnosed with HFrEF and treated with ARNI at 2 tertiary medical institutes in South Korea (Seoul National University Hospital, Seoul, and Seoul National University Bundang Hospital, Seongnam‐si, Gyeonggi‐do) between 2017 and 2022. Among them, patients without baseline echocardiography at the participating institutes or those who initiated ARNI treatment before their visit to the participating institutes (n=1383) were excluded. Subsequently, patients who either died or discontinued ARNI treatment before the 1‐year follow‐up (n=110), as well as those who were lost to follow‐up before 1 year or did not undergo echocardiography at 1‐year follow‐up (n=190) were excluded (Figure 1A). Baseline characteristics of those who did not undergo a 1‐year follow‐up are presented in Table S1.
Figure 1. Schematic diagram of the study process.

Illustrations of the study population (A) and study flow chart (B) are presented. ARNI indicates angiotensin receptor–neprilysin inhibitor; HFimpEF, heart failure with improved ejection fraction; HFrEF, heart failure with reduced ejection fraction; and LVEF, left ventricular ejection fraction.
As the STRATS‐HF‐ARNI registry comprised patients with HF treated with ARNI, we additionally conducted an analysis using data from the STRATS‐AHF (Strain for Risk Assessment and Therapeutic Strategies in Patients With Acute Heart Failure) registry. After identifying patients taking renin‐angiotensin‐aldosterone system inhibitors (RASis) in the STRATS‐AHF registry, the clinical outcomes of HFimpEF and persistent HFrEF reported in the 2 registries were compared according to the medication used. Detailed information about the STRATS‐AHF registry has been published elsewhere. 12 , 13 , 14
Study Variables and Definitions
All echocardiographic examinations were conducted by cardiologists certified by the Korean Society of Echocardiography. Echocardiographic images were acquired using standard ultrasound devices purchased from GE, Philips, and Siemens, following the American Society of Echocardiography guidelines. 15 The LVEF values at baseline and the 1‐year follow‐up were calculated using the biplane Simpson method. Patients with HFrEF (LVEF ≤40%) at baseline were stratified into those with a 1‐year LVEF of >40% (HFimpEF) and those with a 1‐year LVEF of ≤40% (persistent HFrEF), based on the echocardiographic findings at the 1‐year follow‐up. The group with HFimpEF was divided into the following subgroups: patients with HF with a 1‐year LVEF of 41% to 49% and patients with HF with a 1‐year LVEF of ≥50%. Moreover, the group with persistent HFrEF was divided into the following subgroups: patients with HF with a 1‐year LVEF of 31% to 40% and patients with HF with a 1‐year LVEF of ≤30%. 16
The index time point was defined as the 1‐year follow‐up from baseline enrollment in the STRATS‐HF‐ARNI registry. The primary and secondary outcomes were all‐cause and cardiac mortality from the 1‐year follow‐up echocardiography (Figure 1B). The mortality data were obtained and verified using a centralized database of death records managed by the Korean Government's Ministry of Public Administration and Security. The medication data included the use of beta‐blockers, mineralocorticoid receptor antagonists, and sodium‐glucose cotransporter 2 inhibitors. RASi use was defined as the administration of either an angiotensin‐converting enzyme inhibitor or an angiotensin II receptor blocker as recorded in the STRATS‐AHF registry.
Statistical Analysis
Data were presented as the means±SD or medians with interquartile ranges for continuous variables and as numbers and frequencies for categorical variables. For group comparisons, the chi‐square test (or Fisher's exact test for small expected cell counts) was used for categorical variables and the unpaired Student's t test for continuous variables. A multivariable logistic regression model was employed to investigate the predictors of HFimpEF and persistent HF with preserved EF. Variables with a P value of <0.1 in the univariable logistic regression analysis were included in the multivariable model, adjusted for age, sex, hypertension, atrial fibrillation, systolic blood pressure (SBP), left ventricular end‐diastolic volume (LVEDV), and pulmonary artery systolic pressure. Considering the possibility of a survival bias, we additionally performed a logistic regression analysis including patients who either died or discontinued ARNI treatment before the 1‐year follow‐up, as well as those who were lost to follow‐up before 1 year or did not undergo echocardiography at 1‐year follow‐up as a sensitivity analysis. A sensitivity analysis for cardiac mortality was also performed to consider the competing risk of death from noncardiac causes. The chronological trend of clinical outcomes after the 1‐year follow‐up was depicted using Kaplan–Meier estimates, and the log‐rank test was used to compare the differences in clinical outcomes according to the 1‐year LVEF. A multivariable Cox proportional hazards regression model was used to identify the independent prognostic factors. Variables with a P value of <0.1 in the univariable Cox regression analysis were included in the multivariable model, adjusting for covariates including age, end‐stage renal disease, stroke, SBP at 1 year, LVEF at 1 year, LVEDV at 1 year, and pulmonary artery systolic pressure at 1 year. The odds ratios (ORs) from logistic regression and hazard ratios (HRs) from the Cox model were presented along with the corresponding 95% CIs and P values. The nonlinearities in the associations between 1‐year LVEF and the risk of all‐cause mortality from the 1‐year follow‐up were assessed using restricted cubic splines after adjusting for covariates. For sensitivity analysis, propensity score matching (PSM) was employed to match variables including age, sex, ischemic cardiomyopathy, hypertension, diabetes, end‐stage renal disease, SBP, diastolic blood pressure, LVEF, LVEDV, use of beta‐blockers, and mineralocorticoid receptor antagonists between the STRATS‐HF‐ARNI registry (patients with HFrEF treated with ARNIs) and the STRATS‐AHF registry (patients with HFrEF treated with RASis). Statistical significance was set at a P value of <0.05. Statistical analyses were conducted using the IBM SPSS version 23 (SPSS Inc., Chicago, IL) and R programming version 4.3.0 (The R Foundation for Statistical Computing, Vienna, Austria, http://www.R‐project.org).
RESULTS
Clinical Characteristics and Predictors of LVEF Improvement
Among patients enrolled in the STRATS‐HF‐ARNI registry, 1074 patients who underwent baseline and the 1‐year follow‐up echocardiography (mean age, 64.5±13.4 years; men, 741 [69.0%]) were analyzed in this study (Figure 1). Of them, 369 (34.4%) had hypertension, 286 (26.6%) had diabetes, 52 (4.8%) had end‐stage renal disease, 91 (8.5%) had a history of stroke, and 361 (24.3%) had atrial fibrillation. The ΔLVEF between baseline and the 1‐year echocardiography was 11.3±12.6% (median, 8.4%; interquartile range, 1.1%–20.1%).
The clinical characteristics according to the 1‐year LVEF are presented in Table 1. Briefly, 498 patients (46.4%) were diagnosed with HFimpEF based on the echocardiographic findings at 1‐year follow‐up, and 576 patients (53.6%) were diagnosed with persistent HFrEF. In terms of baseline characteristics, patients with persistent HFrEF were 2 years older, predominantly men, showed less history of atrial fibrillation, and had a lower blood pressure, a larger LVEDV, and a higher pulmonary artery systolic pressure than those with HFimpEF. No differences were observed in the history of beta‐blockers, mineralocorticoid receptor antagonists, and sodium‐glucose cotransporter 2 inhibitor treatment as well as in NT‐proBNP (N‐terminal pro‐B‐type natriuretic peptide) levels and LVEF at baseline between the 2 groups. Clinical characteristics according to further stratification within each group with HFimpEF and persistent HFrEF are presented in Tables S2 and S3, respectively.
Table 1.
Clinical Characteristics According to the 1‐Year Follow‐Up HF Phenotypes
| HFimpEF (n=498) | Persistent HFrEF (n=576) | P value | |
|---|---|---|---|
| At baseline | |||
| Demographic data | |||
| Age, y | 63.4±14.0 | 65.5±12.7 | 0.010 |
| Male sex, % | 311 (62.4) | 430 (74.7) | <0.001 |
| Body mass index, kg/m2 | 24.5±4.4 | 24.9±3.9 | 0.166 |
| Cause of HFrEF | 0.688 | ||
| Ischemic cardiomyopathy | 138 (27.7) | 166 (28.8) | |
| Nonischemic cardiomyopathy | 360 (72.3) | 410 (71.2) | |
| Past medical history, % | |||
| Hypertension | 153 (30.7) | 216 (37.5) | 0.020 |
| Diabetes | 122 (24.5) | 164 (28.5) | 0.142 |
| End‐stage renal disease | 25 (5.0) | 27 (4.7) | 0.800 |
| Stroke | 35 (7.0) | 56 (9.7) | 0.114 |
| Atrial fibrillation | 136 (27.3) | 125 (21.7) | 0.033 |
| Physical examination | |||
| SBP, mm Hg | 121.6±20.5 | 118.4±18.6 | 0.009 |
| DBP, mm Hg | 72.0±15.2 | 70.1±13.6 | 0.035 |
| Laboratory examination | |||
| Hemoglobin, g/dL | 13.3±2.2 | 13.5±2.0 | 0.347 |
| N‐terminal pro‐B‐type natriuretic peptide, pg/mL | 1490.0 (543.1–4000.0) | 1470.0 (607.1–3845.4) | 0.474 |
| Echocardiographic parameters | |||
| LVEF, % | 29.4±6.8 | 28.9±6.3 | 0.246 |
| LVEDV, mL | 159.9±56.4 | 182.5±63.6 | <0.001 |
| LVESV, mL | 114.2±46.5 | 131.5±52.9 | <0.001 |
| E/e′ | 18.2±11.7 | 19.6±12.1 | 0.063 |
| LAVI, mL/m2 | 60.5±25.9 | 64.9±37.2 | 0.054 |
| PASP, mm Hg | 36.1±12.6 | 38.5±15.2 | 0.010 |
| Medication, % | |||
| Beta‐blocker | 457 (91.8) | 512 (89.0) | 0.133 |
| Mineralocorticoid receptor antagonist | 259 (52.1) | 282 (49.0) | 0.316 |
| Sodium‐glucose cotransporter 2 inhibitors | 89 (17.9) | 91 (15.8) | 0.363 |
| Initial sacubitril/valsartan daily dose more than 100 mg | 125 (25.1) | 130 (22.6) | 0.331 |
| At index timepoint (1‐year follow‐up) | |||
| Physical examination | |||
| SBP, mm Hg | 118.9±19.1 | 116.0±17.8 | 0.010 |
| DBP, mm Hg | 68.9±11.4 | 68.2±11.9 | 0.368 |
| Echocardiographic parameters | |||
| LVEF, % | 50.7±7.0 | 31.6±5.9 | <0.001 |
| ΔLVEF from baseline, % | 21.3±10.3 | 2.7±6.4 | <0.001 |
| LVEDV, mL | 108.6±34.7 | 166.0±61.1 | <0.001 |
| LVESV, mL | 54.9±21.2 | 115.1±48.5 | <0.001 |
| E/e′ | 12.0±6.4 | 15.7±9.1 | <0.001 |
| LAVI, mL/m2 | 46.1±24.7 | 57.2±36.7 | <0.001 |
| PASP, mm Hg | 29.4±7.6 | 33.1±13.2 | <0.001 |
DBP indicates diastolic blood pressure; HF, heart failure; HFimpEF, heart failure with improved ejection fraction; HFrEF, heart failure with reduced ejection fraction; LAVI, left atrial volume index; LVEDV, left ventricular end‐diastolic volume; LVEF, left ventricular ejection fraction; LVESV, left ventricular end‐systolic volume; PASP, pulmonary artery systolic pressure; and SBP, systolic blood pressure.
We explored the predictors of persistent HFrEF after 1 year of ARNI treatment (Table 2). After adjusting for baseline covariates, older age (OR, 1.024 [95% CI, 1.013–1.036]; P<0.001), male sex (OR, 1.443 [95% CI, 1.052–1.979]; P=0.023), and a larger LVEDV at baseline (OR, 1.006 [95% CI, 1.004–1.009]; P<0.001) were positive predictors of persistent HFrEF. By contrast, atrial fibrillation (OR, 0.710 [95% CI, 0.514–0.981]; P=0.038) and a higher SBP (OR, 0.988 [95% CI, 0.981–0.995]; P=0.002) were inversely associated with persistent HFrEF. The results of the sensitivity analysis, which were performed in the cohort that did not exclude patients who did not undergo 1‐year follow‐up echocardiography, are presented as Tables S4 and S5.
Table 2.
Baseline Predictors for Persistent HFrEF at 1‐Year Follow‐Up Echocardiography
| Odds ratio | 95% CI | P value | |
|---|---|---|---|
| Per 1 year increase in age | 1.024 | 1.013–1.036 | <0.001 |
| Male sex | 1.443 | 1.052–1.979 | 0.023 |
| Hypertension | 1.322 | 0.970–1.801 | 0.078 |
| Atrial fibrillation | 0.710 | 0.514–0.981 | 0.038 |
| Per 1 mm Hg increase in systolic blood pressure, mm Hg | 0.988 | 0.981–0.995 | 0.002 |
| Per 1 mL increase in left ventricular end‐diastolic volume, mL | 1.006 | 1.004–1.009 | <0.001 |
| Per 1 mm Hg increase in pulmonary artery systolic pressure, mm Hg | 1.007 | 0.996–1.017 | 0.208 |
HFrEF indicates heart failure with reduced ejection fraction.
Outcomes of HFimpEF and Persistent HFrEF Based on the 1‐Year LVEF
During the follow‐up period (median, 2.3 years; interquartile range, 1.4–3.5 years), 78 patients (7.3%) died after the index time point. No prognostic difference was found between the 2 participating medical institutions (Figure S1).
As shown in the Kaplan–Meier curves, patients with HFimpEF exhibited lower all‐cause (Figure 2A) and cardiac mortality rates (Figure 2B) than those with persistent HFrEF (both log‐rank P<0.001). In the multivariable Cox regression analysis, persistent HFrEF was significantly associated with an increased risk of all‐cause mortality (HR, 2.402 [95% CI, 1.251–4.610]; P=0.008). Other independent predictors were age (HR, 1.054 [95% CI, 1.027–1.081]; P<0.001), end‐stage renal disease (HR, 3.883 [95% CI, 1.473–10.235]; P=0.006), SBP at 1 year (HR, 0.971 [95% CI, 0.956–0.986]; P<0.001), and pulmonary artery systolic pressure at 1 year (HR, 1.035 [95% CI, 1.018–1.052]; P<0.001) (Table 3). The results for cardiac mortality were presented in Tables S6 and S7.
Figure 2. Comparison of clinical outcomes between the groups with HFimpEF and persistent HFrEF.

Kaplan–Meier survival curves of all‐cause mortality (A) and cardiac mortality (B) according to the heart failure phenotype are presented. HFimpEF indicates heart failure with improved ejection fraction; and HFrEF, heart failure with reduced ejection fraction.
Table 3.
Independent Predictors for All‐Cause Mortality From 1‐Year Follow‐Up
| Hazard ratio | 95% CI | P value | |
|---|---|---|---|
| Per 1 y increase in age | 1.054 | 1.027–1.081 | <0.001 |
| End‐stage renal disease | 3.883 | 1.473–10.235 | 0.006 |
| Stroke | 1.768 | 0.922–3.390 | 0.086 |
| Persistent heart failure with reduced ejection fraction | 2.402 | 1.251–4.610 | 0.008 |
| Per 1 mm Hg increase in systolic blood pressure at 1‐y | 0.971 | 0.956–0.986 | <0.001 |
| Per 1 mL increase in, left ventricular end‐diastolic volume at 1‐y | 0.995 | 0.995–1.005 | 0.895 |
| Per 1 mm Hg increase in pulmonary artery systolic pressure at 1‐y | 1.035 | 1.018–1.052 | <0.001 |
To explore the prognostic association between the 1‐year LVEF and clinical outcomes, we further classified patients with HFimpEF using a 1‐year LVEF cutoff value of 50% and those with persistent HFrEF using a 1‐year LVEF cutoff value of 30%. When further stratifying the group with HFimpEF according to the 1‐year LVEF, those with a 1‐year LVEF of ≥50% showed a similar prognosis compared with those with a 1‐year LVEF of 40% to 49% (log‐rank P=0.478) (Figure 3A). On the contrary, when stratifying the group with persistent HFrEF according to the 1‐year LVEF, patients with a 1‐year LVEF of ≤30% presented worse clinical outcomes than those with an LVEF of 31% to 40% (log‐rank P=0.002) (Figure 3B). The analyses for cardiac mortality were presented in Figure S2 with similar results. In line with these findings, restricted cubic spline curves revealed a decline in the risk of all‐cause mortality until the LVEF at 1 year reached 40%; however, an additional risk reduction was not observed beyond a 1‐year LVEF of 40% (Figure 3C).
Figure 3. All‐cause mortality in association with the subclassification of a 1‐year LVEF.

In the groups with HFimpEF (A) and persistent HFrEF (B), the patients were subcategorized into 2 groups based on their 1‐year LVEF: HFimpEF into HFpEF at 1 year (LVEF ≥50%) and HFmrEF at 1 year (LVEF 40%–49%), and persistent HFrEF into HF with severely reduced EF (LVEF ≤30%) and HF with moderately reduced EF (LVEF 31%–40%). The restricted cubic spline curves illustrate the association between the 1‐year LVEF and outcomes (C). HFimpEF indicates heart failure with improved ejection fraction; HFmrEF, heart failure with midrange ejection fraction; HFpEF, heart failure with preserved ejection fraction; and LVEF, left ventricular ejection fraction.
Prognostic Difference Between Patients Taking ARNI and Those Taking RASi in the Groups With HFimpEF and Persistent HFrEF
To compare the prognosis between patients taking ARNIs and those taking RASis in each HF phenotype of HFimpEF and persistent HFrEF, we identified patients from the STRATS‐AHF registry who received RASis and underwent baseline and the 1‐year echocardiography. The baseline characteristics of patients from the STRATS‐AHF and STRATS‐HF‐ARNI registries are presented in Table S8. The proportions of patients with HFimpEF (45.6% versus 46.4%, P=0.764) and ΔLVEF (12.6±13.9 versus 11.3±12.5, P=0.064) were similar between the STRATS‐AHF registry and STRATS‐ARNI registry (Figure 4A). When the clinical outcomes of the subgroups with HFimpEF (Figure 4B) and persistent HFrEF were analyzed (Figure 4C), patients in the STRATS‐HF‐ARNI consistently showed a lower all‐cause mortality than those in the STRATS‐AHF registry, regardless of their 1‐year LVEF (both log‐rank P<0.001).
Figure 4. Comparison of clinical outcomes between patients taking RASis from the STRATS‐AHF registry and those from the STRATS‐HF‐ARNI registry.

A, The proportions of patients with HFimpEF and persistent HFrEF from each registry. Kaplan–Meier curves represent the clinical outcomes of patients in the STRATS‐HF‐ARNI registry and those in the STRATS‐AHF registry who had HFimpEF (B) and persistent HFrEF (C) treated with RASis. HFimpEF indicates heart failure with improved ejection fraction; HFrEF, heart failure with reduced ejection fraction; RASi, renin‐angiotensin‐aldosterone system inhibitor; STRATS‐AHF, Strain for Risk Assessment and Therapeutic Strategies in Patients With Acute Heart Failure; and STRATS‐HF‐ARNI, Strain for Risk Assessment and Therapeutic Strategies in Patients With Heart Failure Treated With Angiotensin Receptor‐Neprilysin Inhibitors.
Recognizing the differences in the baseline characteristics between patients in the STRATS‐AHF and STRATS‐HF‐ARNI registries, the clinical outcomes were further compared using a PSM cohort. The clinical characteristics of the PSM cohorts of the groups with HFimpEF and persistent HFrEF are shown in Table S9. In the PSM cohort, patients in the STRATS‐HF‐ARNI registry demonstrated superior clinical outcomes than those in the STRATS‐AHF registry regardless of the HF phenotype on the 1‐year echocardiography (Figure S3).
DISCUSSION
Using the STRATS‐HF‐ARNI registry, we analyzed the clinical characteristics, predictors, and outcomes of patients with HFimpEF and those with persistent HFrEF based on the echocardiographic findings at 1‐year follow‐up. The major findings of our study were as follows: (1) among patients with HFrEF treated with ARNIs who underwent echocardiography at 1‐year follow‐up, 45.6% were diagnosed with HFimpEF; (2) older age, male sex, and a larger LVEDV were identified as positive predictors for persistent HFrEF, whereas atrial fibrillation and a higher SBP were identified as inverse predictors for persistent HFrEF; (3) the group with HFimpEF exhibited lower all‐cause and cardiac mortality rates compared with the group with persistent HFrEF, and the risks of all‐cause mortality decreased as the 1‐year LVEF approached 40% although no additional improvement was observed in the all‐cause mortality rate beyond this threshold; and (4) compared with patients taking RASis in the STRATS‐AHF registry, those in the STRATS‐HF‐ARNI registry demonstrated better outcomes in both the groups with HFimpEF and persistent HFrEF.
Based on studies that have elucidated effective medical treatments for HFrEF, 17 , 18 , 19 , 20 , 21 GDMT using beta‐blockers, mineralocorticoid receptor antagonists, sodium‐glucose cotransporter 2 inhibitors, and RASis/ARNIs is now widely acknowledged as a gold standard in managing HFrEF. 3 , 4 GDMT has not only demonstrated its benefits in reducing all‐cause mortality and hospitalization for worsening HF but has also been associated with LVEF improvement and LV reverse remodeling in some patients with HFrEF. 10 , 22 , 23 , 24 Thus, patients who were initially classified as having HFrEF, but later experienced LVEF recovery with GDMT, were now identified as having HFimpEF, given their more favorable prognostic outcomes compared with patients with HF with preserved EF and those with persistent HFrEF. 10 , 25 Despite LVEF improvement, however, the majority of patients with HFimpEF still showed impaired global longitudinal strain, 26 sparking interests in both predicting LVEF improvement and effectively managing patients with HFimpEF.
In the examination of predictors for LVEF improvement during follow‐up, our findings align with those of previous studies, identifying young age, female sex, and atrial fibrillation as independent predictors for HFimpEF (Table 2). 9 , 11 This suggests that patients with atrial fibrillation‐mediated cardiomyopathy, a well‐known reversible cause of HF not only induced by tachycardia but also by heart rate irregularity even under properly controlled heart rate, are more likely to benefit from GDMT and experience LVEF improvement during the follow‐up. 27 , 28 Although a previous history of hypertension was initially identified as a risk factor for persistent HFrEF in the univariable analysis, its significance diminished in the multivariable analysis. Conversely, SBP emerged as an inversely associated factor for persistent HFrEF as well as an independent risk factor for poor clinical outcomes. This complex observation may stem from the nonlinear association between blood pressure and outcomes; some studies have reported an association between low blood pressure and increased risks of all‐cause mortality, as well as an association between hypertension and poor clinical outcomes in patients with HFrEF. 11 , 29 , 30 To interpret this nonlinear association, previous studies have suggested that low SBP could prevent clinicians from applying GDMT, which might further reduce SBP, whereas high SBP is a significant risk factor among patients with HFrEF. 29 , 31 , 32 Further studies are demanded to provide explanations for the relationship between baseline blood pressure, on‐treatment blood pressure after taking ARNIs, and clinical outcomes.
Despite the increasing interest in HFimpEF, the cutoff value of follow‐up LVEF for defining HFimpEF remains controversial. Several studies have adopted a follow‐up LVEF of >40% as a criterion for diagnosing HFimpEF. 9 , 10 , 29 However, others have adopted a follow‐up LVEF of ≥50% as a valid criterion. 33 Upon further stratification of persistent HFrEF and HFimpEF with LVEF values of 30% and 50%, respectively, a prognostic difference was observed between patients with a 1‐year LVEF of ≤30% and those with a 1‐year LVEF of 31% to 40%. However, no prognostic difference was found between patients with a 1‐year LVEF of 41% to 49% and those with a 1‐year LVEF of ≥50%. The restricted cubic spline curve supported this observation by demonstrating that the risk of mortality decreased as the 1‐year LVEF increased up to 40%; however, no further risk reduction was observed beyond a 1‐year LVEF of 40%. Taken together, defining HFimpEF with a follow‐up LVEF of 40% might not be counterintuitive considering the observed prognostic differences, although further studies are required to validate our results.
By comparing the clinical outcomes of patients with HFimpEF and those with persistent HF from the STRATS‐AHF and STRATS‐HF‐ARNI registries, we could provide valuable suggestions for managing these patients. Currently, limited information is available on how to manage patients with HFimpEF, except for the TRED‐HF (Therapy Withdrawal in Recovered Dilated Cardiomyopathy–Heart Failure) trial suggesting that discontinuing or reducing pharmacological treatment could lead to HFrEF relapse following treatment withdrawal. 34 In the original population and the PSM cohort, patients from the STRATS‐HF‐ARNI registry had lower blood pressure but a higher prevalence of taking beta‐blockers compared with those from the STRATS‐AHF registry, for both the groups with HFimpEF and persistent HFrEF (Tables S8 and S9). As previously mentioned, low blood pressure is an independent risk factor for poor clinical outcomes. Nevertheless, patients from the STRATS‐HF‐ARNI registry, who were treated with ARNIs and more frequently prescribed with beta‐blockers, were associated with superior outcomes compared with those from the STRATS‐AHF registry, regardless of the HF phenotype. Taking these considerations into account, adherence to GDMT could be beneficial not only for patients with persistent HFrEF but also for those with HFimpEF; regardless of the 1‐year LVEF (≤40% or >40%), patients should adhere to GDMT incorporating ARNIs. Furthermore, our findings align with the current guidelines, suggesting that ARNIs may be preferred over RASis in patients with HFrEF owing to their superior benefits observed. 3 , 4
Study Limitations
This study has several limitations. First, this is a retrospective cohort study from a multicenter registry rather than a randomized trial. Therefore, although a multivariable analysis and the PSM were performed to reduce the risks of biases, some confounding factors might not be considered. Second, we analyzed only East Asian patients who visited 2 large tertiary medical institutes. Thus, further investigation is needed to assess the generalizability of the study findings to other races or ethnicities. Additionally, we designed this study to analyze patients who underwent 1‐year echocardiography to define HFimpEF and persistent HFrEF; accordingly, we enrolled only patients who underwent 1‐year follow‐up echocardiography. Although we provided a sensitivity analysis that included those who died before the 1‐year follow‐up or did not undergo 1‐year echocardiography in predicting HFimpEF and persistent HFrEF, this approach may have led to selection and lead‐time biases and careful consideration for the possibility of biases is demanded.
CONCLUSIONS
We conducted a comprehensive analysis of the characteristics, predictors, and outcomes of patients with HFimpEF and persistent HFrEF receiving ARNIs. As the 1‐year LVEF increased up to 40%, the risk of all‐cause mortality progressively decreased. Meanwhile, no additional risk reduction was observed beyond a 1‐year LVEF of 40%. Compared with patients taking RASi in the STRATS‐AHF registry, both the groups with HFimpEF and persistent HFrEF were associated in the STRATS‐HF‐ARNI registry with better clinical outcomes, indicating a preference for ARNIs over RASis.
Sources of Funding
None.
Disclosures
H.‐K.K. reports research grants from HK inno.N, Johnson & Johnson, Handok Pharm, GSK, Dae‐Woong Pharm, ChongKunDang Pharm, Boryung Pharm, Samin Pharm, and JW Pharm. The remaining authors have no disclosures to report.
Supporting information
Tables S1–S9
Figures S1–S3
This article was sent to June‐Wha Rhee, MD, Associate Editor, for review by expert referees, editorial decision, and final disposition.
Supplemental Material is available at https://www.ahajournals.org/doi/suppl/10.1161/JAHA.124.036763
For Sources of Funding and Disclosures, see page 10.
Contributor Information
In‐Chang Hwang, Email: inchang.hwang@gmail.com.
Hyung‐Kwan Kim, Email: cardiman73@gmail.com, Email: hkkim73@snu.ac.kr.
References
- 1. Roger VL. Epidemiology of heart failure: a contemporary perspective. Circ Res. 2021;128:1421–1434. doi: 10.1161/CIRCRESAHA.121.318172 [DOI] [PubMed] [Google Scholar]
- 2. Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker‐Smith CM, Beaton AZ, Boehme AK, Buxton AE, et al. Heart disease and stroke statistics‐2023 update: a report from the American Heart Association. Circulation. 2023;147:e93–e621. doi: 10.1161/CIR.0000000000001123 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Bohm M, Burri H, Butler J, Celutkiene J, Chioncel O, et al. 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: Developed by the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). With the special contribution of the Heart Failure Association (HFA) of the ESC. Eur J Heart Fail. 2022;24:4–131. [DOI] [PubMed] [Google Scholar]
- 4. Heidenreich PA, Bozkurt B, Aguilar D, Allen LA, Byun JJ, Colvin MM, Deswal A, Drazner MH, Dunlay SM, Evers LR, et al. 2022 AHA/ACC/HFSA guideline for the management of heart failure: a report of the American College of Cardiology/American Heart Association joint committee on clinical practice guidelines. Circulation. 2022;145:e895–e1032. doi: 10.1161/CIR.0000000000001063 [DOI] [PubMed] [Google Scholar]
- 5. Cho JY, Cho DH, Youn JC, Kim D, Park SM, Jung MH, Hyun J, Choi J, Cho HJ, Park SM, et al. Korean Society of Heart Failure guidelines for the management of heart failure: definition and diagnosis. Korean Circ J. 2023;53:195–216. doi: 10.4070/kcj.2023.0046 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Hegde LG, Yu C, Renner T, Thibodeaux H, Armstrong SR, Park T, Cheruvu M, Olsufka R, Sandvik ER, Lane CE, et al. Concomitant angiotensin AT1 receptor antagonism and neprilysin inhibition produces omapatrilat‐like antihypertensive effects without promoting tracheal plasma extravasation in the rat. J Cardiovasc Pharmacol. 2011;57:495–504. doi: 10.1097/FJC.0b013e318210fc7e [DOI] [PubMed] [Google Scholar]
- 7. Mann DL, Bristow MR. Mechanisms and models in heart failure: the biomechanical model and beyond. Circulation. 2005;111:2837–2849. doi: 10.1161/CIRCULATIONAHA.104.500546 [DOI] [PubMed] [Google Scholar]
- 8. McMurray JJ, Packer M, Desai AS, Gong J, Lefkowitz MP, Rizkala AR, Rouleau JL, Shi VC, Solomon SD, Swedberg K, et al. Angiotensin‐neprilysin inhibition versus enalapril in heart failure. N Engl J Med. 2014;371:993–1004. doi: 10.1056/NEJMoa1409077 [DOI] [PubMed] [Google Scholar]
- 9. Park CS, Park JJ, Mebazaa A, Oh IY, Park HA, Cho HJ, Lee HY, Kim KH, Yoo BS, Kang SM, et al. Characteristics, outcomes, and treatment of heart failure with improved ejection fraction. J Am Heart Assoc. 2019;8:e011077. doi: 10.1161/JAHA.118.011077 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Kalogeropoulos AP, Fonarow GC, Georgiopoulou V, Burkman G, Siwamogsatham S, Patel A, Li S, Papadimitriou L, Butler J. Characteristics and outcomes of adult outpatients with heart failure and improved or recovered ejection fraction. JAMA Cardiol. 2016;1:510–518. doi: 10.1001/jamacardio.2016.1325 [DOI] [PubMed] [Google Scholar]
- 11. Ghimire A, Fine N, Ezekowitz JA, Howlett J, Youngson E, McAlister FA. Frequency, predictors, and prognosis of ejection fraction improvement in heart failure: an echocardiogram‐based registry study. Eur Heart J. 2019;40:2110–2117. doi: 10.1093/eurheartj/ehz233 [DOI] [PubMed] [Google Scholar]
- 12. Park CS, Park JB, Park JJ, Park JH, Cho GY. Impact of sex and myocardial function on association of obesity with mortality in Asian patients with acute heart failure: a retrospective analysis from the STRATS‐AHF registry. BMJ Open. 2020;10:e031608. doi: 10.1136/bmjopen-2019-031608 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Park CS, Hwang IC, Park JJ, Park JH, Park JB, Cho GY. Determinants of the survival benefit associated with statins in patients with acute heart failure. ESC Heart Fail. 2021;8:5424–5435. doi: 10.1002/ehf2.13637 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Park JJ, Park JB, Park JH, Cho GY. Global longitudinal strain to predict mortality in patients with acute heart failure. J Am Coll Cardiol. 2018;71:1947–1957. doi: 10.1016/j.jacc.2018.02.064 [DOI] [PubMed] [Google Scholar]
- 15. Lang RM, Badano LP, Mor‐Avi V, Afilalo J, Armstrong A, Ernande L, Flachskampf FA, Foster E, Goldstein SA, Kuznetsova T, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiogr. 2015;28:1–39.e14. doi: 10.1016/j.echo.2014.10.003 [DOI] [PubMed] [Google Scholar]
- 16. Harrington J, Sun JL, Fonarow GC, Heitner SB, Divanji PH, Binder G, Allen LA, Alhanti B, Yancy CW, Albert NM, et al. Clinical profile, health care costs, and outcomes of patients hospitalized for heart failure with severely reduced ejection fraction. J Am Heart Assoc. 2023;12:e028820. doi: 10.1161/JAHA.122.028820 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Cleland JGF, Bunting KV, Flather MD, Altman DG, Holmes J, Coats AJS, Manzano L, McMurray JJV, Ruschitzka F, van Veldhuisen DJ, et al. Beta‐blockers for heart failure with reduced, mid‐range, and preserved ejection fraction: an individual patient‐level analysis of double‐blind randomized trials. Eur Heart J. 2018;39:26–35. doi: 10.1093/eurheartj/ehx564 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Packer M, Bristow MR, Cohn JN, Colucci WS, Fowler MB, Gilbert EM, Shusterman NH. The effect of carvedilol on morbidity and mortality in patients with chronic heart failure. U.S. Carvedilol Heart Failure Study Group. N Engl J Med. 1996;334:1349–1355. doi: 10.1056/NEJM199605233342101 [DOI] [PubMed] [Google Scholar]
- 19. McMurray JJV, Solomon SD, Inzucchi SE, Kober L, Kosiborod MN, Martinez FA, Ponikowski P, Sabatine MS, Anand IS, Belohlavek J, et al. Dapagliflozin in patients with heart failure and reduced ejection fraction. N Engl J Med. 2019;381:1995–2008. doi: 10.1056/NEJMoa1911303 [DOI] [PubMed] [Google Scholar]
- 20. Pitt B, Zannad F, Remme WJ, Cody R, Castaigne A, Perez A, Palensky J, Wittes J. The effect of spironolactone on morbidity and mortality in patients with severe heart failure. Randomized Aldactone Evaluation Study Investigators. N Engl J Med. 1999;341:709–717. doi: 10.1056/NEJM199909023411001 [DOI] [PubMed] [Google Scholar]
- 21. Investigators S, Yusuf S, Pitt B, Davis CE, Hood WB, Cohn JN. Effect of enalapril on survival in patients with reduced left ventricular ejection fractions and congestive heart failure. N Engl J Med. 1991;325:293–302. doi: 10.1056/NEJM199108013250501 [DOI] [PubMed] [Google Scholar]
- 22. de Groote P, Fertin M, Duva Pentiah A, Goeminne C, Lamblin N, Bauters C. Long‐term functional and clinical follow‐up of patients with heart failure with recovered left ventricular ejection fraction after beta‐blocker therapy. Circ Heart Fail. 2014;7:434–439. doi: 10.1161/CIRCHEARTFAILURE.113.000813 [DOI] [PubMed] [Google Scholar]
- 23. Choi HM, Hwang IC, Choi HJ, Yoon YE, Lee HJ, Park JB, Lee SP, Kim HK, Kim YJ, Cho GY. Irreversible myocardial injury attenuates the benefits of sacubitril/valsartan in heart failure patients. Int J Cardiol. 2024;397:131611. doi: 10.1016/j.ijcard.2023.131611 [DOI] [PubMed] [Google Scholar]
- 24. Moon MG, Hwang IC, Lee HJ, Kim SH, Yoon YE, Park JB, Lee SP, Kim HK, Kim YJ, Cho GY. Reverse remodeling assessed by left atrial and ventricular strain reflects treatment response to sacubitril/valsartan. JACC Cardiovasc Imaging. 2022;15:1525–1541. doi: 10.1016/j.jcmg.2022.03.019 [DOI] [PubMed] [Google Scholar]
- 25. Moon MG, Hwang IC, Choi W, Cho GY, Yoon YE, Park JB, Lee SP, Kim HK, Kim YJ. Reverse remodelling by sacubitril/valsartan predicts the prognosis in heart failure with reduced ejection fraction. ESC Heart Fail. 2021;8:2058–2069. doi: 10.1002/ehf2.13285 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Merken J, Brunner‐La Rocca HP, Weerts J, Verdonschot J, Hazebroek M, Schummers G, Schreckenberg M, Lumens J, Heymans S, Knackstedt C. Heart failure with recovered ejection fraction. J Am Coll Cardiol. 2018;72:1557–1558. doi: 10.1016/j.jacc.2018.06.070 [DOI] [PubMed] [Google Scholar]
- 27. Qin D, Mansour MC, Ruskin JN, Heist EK. Atrial fibrillation–mediated cardiomyopathy. Circ Arrhythm Electrophysiol. 2019;12:e007809. doi: 10.1161/CIRCEP.119.007809 [DOI] [PubMed] [Google Scholar]
- 28. Huizar JF, Ellenbogen KA, Tan AY, Kaszala K. Arrhythmia‐induced cardiomyopathy: JACC state‐of‐the‐art review. J Am Coll Cardiol. 2019;73:2328–2344. doi: 10.1016/j.jacc.2019.02.045 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Bohm M, Ferreira JP, Mahfoud F, Duarte K, Pitt B, Zannad F, Rossignol P. Myocardial reperfusion reverses the J‐curve association of cardiovascular risk and diastolic blood pressure in patients with left ventricular dysfunction and heart failure after myocardial infarction: insights from the EPHESUS trial. Eur Heart J. 2020;41:1673–1683. doi: 10.1093/eurheartj/ehaa132 [DOI] [PubMed] [Google Scholar]
- 30. Bohm M, Young R, Jhund PS, Solomon SD, Gong J, Lefkowitz MP, Rizkala AR, Rouleau JL, Shi VC, Swedberg K, et al. Systolic blood pressure, cardiovascular outcomes and efficacy and safety of sacubitril/valsartan (LCZ696) in patients with chronic heart failure and reduced ejection fraction: results from PARADIGM‐HF. Eur Heart J. 2017;38:1132–1143. doi: 10.1093/eurheartj/ehw570 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Abdin A, Anker SD, Cowie MR, Filippatos GS, Ponikowski P, Tavazzi L, Schope J, Wagenpfeil S, Komajda M, Bohm M. Associations between baseline heart rate and blood pressure and time to events in heart failure with reduced ejection fraction patients: data from the QUALIFY international registry. Eur J Heart Fail. 2023;25:1985–1993. doi: 10.1002/ejhf.3023 [DOI] [PubMed] [Google Scholar]
- 32. Lee SE, Lee HY, Cho HJ, Choe WS, Kim H, Choi JO, Jeon ES, Kim MS, Hwang KK, Chae SC, et al. Reverse J‐curve relationship between on‐treatment blood pressure and mortality in patients with heart failure. JACC Heart Fail. 2017;5:810–819. doi: 10.1016/j.jchf.2017.08.015 [DOI] [PubMed] [Google Scholar]
- 33. Jhund PS, Kondo T, Butt JH, Docherty KF, Claggett BL, Desai AS, Vaduganathan M, Gasparyan SB, Bengtsson O, Lindholm D, et al. Dapagliflozin across the range of ejection fraction in patients with heart failure: a patient‐level, pooled meta‐analysis of DAPA‐HF and DELIVER. Nat Med. 2022;28:1956–1964. doi: 10.1038/s41591-022-01971-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Halliday BP, Wassall R, Lota AS, Khalique Z, Gregson J, Newsome S, Jackson R, Rahneva T, Wage R, Smith G, et al. Withdrawal of pharmacological treatment for heart failure in patients with recovered dilated cardiomyopathy (TRED‐HF): an open‐label, pilot, randomised trial. Lancet. 2019;393:61–73. doi: 10.1016/S0140-6736(18)32484-X [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Tables S1–S9
Figures S1–S3
