Introduction

Though the term ejection fraction (EF) was first coined in 1965, it did not come to dominate the classification of heart failure (HF) until the 2005 American Heart Association (AHA)/American College of Cardiology (ACC) Guideline for the Management of Heart Failure [1]. Here, HF characterization transitioned from a framework of systolic versus diastolic dysfunction to one of HF with reduced (HFrEF) versus preserved ejection fraction (HFpEF) [1, 2]. In 2013, the ACC/AHA Guideline for the Management of Heart Failure formally assigned EF ranges to HFrEF (EF ≤ 40%) and HFpEF (EF ≥ 50%) and, in doing so, created a “gray zone” of patients with EFs between 41 and 49% [3•]. The Guideline called this zone heart failure with borderline ejection fraction, and in 2014, this phenotype was labeled heart failure with mid-range ejection fraction (HFmrEF)—a term that was formally adopted in the 2016 European Society of Cardiology (ESC) HF Guidelines [3•, 4•, 5].

Patients with HFmrEF have traditionally been excluded from large HF trials, which have hindered study on HFmrEF prevalence, clinical characteristics, and response to traditional HF therapy. Since the ACC/AHA and ESC guideline classifications, there has been a flurry of research on the clinical entity of HFmrEF. In this review, we provide an up-to-date overview of the epidemiology, clinical characteristics, morbidity and mortality, and treatment for HFmrEF.

Epidemiology and Clinical Characteristics

Heart failure affects 6.2 million Americans and costs $30.7 billion dollars a year [6]. Of those with HF, an estimated 7–25% have HFmrEF [7•, 8, 9, 10•, 11•, 12•, 13•, 14•, 15•]. Early population level studies demonstrated that patients with HFmrEF have clinical characteristics and outcomes similar to those of patients with HFpEF [8, 9]. A recent analysis of 39,982 hospitalized heart failure patients from the Get With The Guidelines cohort affirmed these earlier findings [7•]. More recent studies, however, appear to paint a slightly different picture. In the CHARM (Candesartan in Heart Failure Assessment of Reduction in Mortality and Morbidity) Program, HFmrEF patients more closely resembled HFrEF patients in terms of age, sex, ischemic heart disease, and history of myocardial infarction [10•]. In 42,061 patients from the Swedish Heart Failure registry, HFmrEF patients resembled HFrEF patients in terms of the prevalence of diabetes mellitus (DM), coronary artery disease (CAD), valve disease, statin use, and platelet inhibitor use. In the same cohort, HFmrEF patients resembled HFpEF patients in terms of problematic alcohol use, potassium levels, and N-terminal pro B-type natriuretic peptide levels (NT-proBNP). For several other characteristics, including New York Heart Association class, pulmonary edema, and diuretic use, there was no pattern observed [11•]. In the TIME-CHF (Trial of Intensified versus Standard Medical Therapy in Elderly Patients with Congestive Heart Failure) cohort, the HFmrEF group was found to be intermediate to HFrEF and HFpEF in terms of clinical characteristics, though was more like the HFrEF population in terms of CAD and response to NT-proBNP-guided therapy [12•]. In the ESC Long Term and PINNACLE (Practice Innovation and Clinical Excellence Registry) groups, HFmrEF patients were similarly found to resemble HFrEF patients in terms of CAD, while the CHART-2 (Chronic Heart Failure Analysis and Registry in the Tohoku District-2) cohort had clinical characteristics intermediate between HFrEF and HFpEF (Table 1) [13•, 14•, 15•]. Streng et al. analyzed the prevalence of noncardiac comorbidities in 3499 patients from the BIOSTAT-CHF (Biological Study to Tailored Treatment in Chronic Heart Failure) study and found that prevalence of DM, thyroid dysfunction, stroke, chronic obstructive pulmonary disease, chronic kidney disease, anemia, obesity, and peripheral arterial disease in HFmrEF patients was intermediate to that observed in those with HFrEF and HFpEF [16].

Table 1 Clinical characteristics of patients with heart failure stratified by ejection fraction

Pathophysiology

HFrEF and HFpEF have traditionally been thought to be a result of systolic and diastolic dysfunction, respectively. As research progresses, it is increasingly recognized that there may be significant overlap between the two conditions. While many pharmacologic interventions have proven effective in HFrEF, no drug to date has demonstrated improved mortality outcomes in the HFpEF population, a finding that underscores our incomplete understanding of this disease state [17,18,19,20,21,22,23,24]. The pathophysiology among patients with HFmrEF is similarly not well characterized. To investigate further, Rickenbacher et al. used echocardiographic data from TIME-CHF [12•]. In this cohort, left ventricular cavity dimension progressively increased, and parameters of systolic function gradually decreased from HFpEF to HFmrEF to HFrEF. Elevated left ventricular filling pressures were present in all groups. All three groups also demonstrated evidence of left ventricular hypertrophy. Concentric remodeling was seen in HFpEF and to a lesser degree in HFmrEF compared to eccentric hypertrophy in the HFrEF group. Diastolic dysfunction was not different between the groups [12•].

From a biomarker perspective, NT-proBNP levels are elevated in HFrEF and HFmrEF to a similar extent, with levels in these groups being much higher than in those with HFpEF [12•]. Patients with HFmrEF and HFrEF are similar with regard to higher serum creatinine and troponin T levels when compared to those with HFpEF [12•]. In contrast, HFmrEF patients resemble HFpEF patients with respect to higher cystatin C and lower hemoglobin levels [12•]. Tromp et al. evaluated a panel of 37 biomarkers from different pathophysiologic domains across a wide range of ejection fractions. HFrEF patients were found to have a profile predominantly associated with cardiac stretch, HFpEF patients with cardiac inflammation, and HFmrEF patients with both cardiac stretch and inflammation [25]. In the SHOP (Singapore Heart Failure Outcomes and Phenotypes) cohort, cardiac troponin values among HFmrEF patients were intermediate to those with HFrEF and HFpEF [26].

On a signaling level, Vergaro et al. investigated the neuroendocrine profiles of patients with HF, ultimately demonstrating similar profiles between HFpEF and HFmrEF patients with comparatively higher levels of neurohormones (NT-proBNP, renin to aldosterone ratio, aldosterone, and norepinephrine) in the HFrEF group [27]. Pugliese et al. evaluated responses to exercise in 169 patients and demonstrated that exercise intolerance among those with HFpEF and HFmrEF was predominantly attributable to peripheral factors (arterial-venous oxygen content difference) whereas intolerance in those with HFrEF was due to low increases in stroke volume [28].

Management

There have been no randomized controlled trials (RCT) designed specifically to evaluate pharmacologic therapy in those with HFmrEF. HFrEF and HFpEF trials that include overlap into the 40–50% range may provide insights into this population’s pharmacologic management. The CHARM Program consisted of three separate RCTs evaluating the impact of candesartan (versus placebo) on the primary outcome of cardiovascular death or HF admission among those with reduced (≤ 40%) and preserved (> 40%) EF [21, 29, 30]. A post hoc analysis of the CHARM Program evaluated the impact of candesartan on patients with HFmrEF for the primary outcome of cardiovascular death or HF hospitalization [10•]. Over a mean follow up of 2.9 years, candesartan lowered incidence of the primary outcome among patients with HFmrEF (HR 0.76, 95% CI 0.61–0.96) [10•]. Similarly, a meta-analysis of 11 trials demonstrated that beta blockers reduced the incidence of cardiovascular mortality among patients with HFmrEF in sinus rhythm (HR 0.48, 95% CI 0.24–0.97) [31•]. This analysis did not reach significance for all-cause mortality (HR 0.59, 95% CI 0.34–1.03) [31•]. The TOPCAT (Treatment of Cardiac Function with an Aldosterone Antagonist) trial evaluated the efficacy of spironolactone versus placebo on the primary outcome of cardiovascular mortality, aborted cardiac arrest, or HF hospitalization among patients with an EF ≥ 45% [32]. Though the overall trial was neutral, a subgroup analysis of patients from the Americas with EF of 45–50% suggested a benefit of spironolactone versus placebo for the primary outcome (HR 0.55, 95% CI 0.33–0.91) as well as for the outcomes of cardiovascular (HR 0.46, 95% CI 0.23–0.94) and all-cause mortality (HR 0.58, 95% CI 0.34–0.99) [33•]. Last, PARAGON-HF (Prospective Comparison of Angiotensin Receptor-Neprilysin Inhibitor [ARNI] with Angiotensin Receptor Blocker [ARB] Global Outcomes in Heart Failure with Preserved Ejection Fraction) found no significant effect of ARNI therapy (compared to ARB) on a composite outcome of cardiovascular mortality or HF hospitalization among those with an EF ≥ 45% [34•]. However, in a pre-specified subgroup of patients with EF ≤ 57%, there was potential benefit for the composite outcome (HR 0.78, 95% CI 0.64–0.95) (Table 2) [34•].

Table 2 Impact of guideline-directed medical therapy on cardiovascular outcomes in heart failure with mid-range ejection fraction

Observational studies have further evaluated the association of conventional HF therapeutics with cardiovascular outcomes in the HFmrEF population. In the CHART-2 cohort, beta blocker use was associated with improved mortality among those with HFmrEF [13•]. A similar relationship was seen in the Swedish Heart Failure Registry, though only among patients with both CAD and HFmrEF (HR 0.74, 95% CI 0.59–0.92) [11•]. In a study of the OPTIMIZE-HF (Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure) cohort linked to long-term Medicare date, beta blockers were not associated with improvements in all-cause mortality in those with EF ≥ 40% [35, 36].

Given the lack of formal studies evaluating traditional HF therapies in those with HFmrEF, guidelines currently suggest the use of diuretics for volume management and the treatment of comorbidities [5]. The management of CAD and noncardiac comorbidities such as CKD and hypertension is likely to provide significant benefit [13•, 37,38,39]. Given the findings above, it may be reasonable to consider the use of ARBs, beta blockers, mineralocorticoid receptor antagonists, and ARNIs in the management of those with HFmrEF while recognizing that the available data suggest a stronger signal for reduction in HF hospitalization than for improvement in cardiovascular and all-cause mortality (Fig. 1).

Fig. 1
figure 1

Medical therapy in heart failure. Proven cardiovascular benefit (green check). Potential cardiovascular benefit (yellow check). Uncertain cardiovascular benefit (question mark). No cardiovascular benefit (red x). Abbreviations: ACEi, Angiotensin Converting Enzyme Inhibitor; ARB, Angiotensin Receptor Blocker; ARNI, Angiotensin Receptor-Neprilysin Inhibitor; HFmrEF, Heart Failure with Mid-Range Ejection Fraction; HFpEF, Heart Failure with Preserved Ejection Fraction; HFrEF, Heart Failure with Reduced Ejection Fraction; MRA, Mineralocorticoid Receptor Antagonist; SGLT2i, Sodium-Glucose Cotransporter-2 Inhibitors

Prognosis

Several large databases have published morbidity and mortality data for patients with HFmrEF. In the ESC Heart Failure Long-Term Registry, mortality at 1 year for HFmrEF (7.6%) patients was intermediate to that for HFrEF (8.8%) and HFpEF (6.3%) patients, though this difference was not statistically significant. Heart failure hospitalization was 14.6%, 8.7%, and 9.7% in the HFrEF, HFmrEF, and HFpEF groups, respectively [15•]. The Get With The Guidelines Registry linked to Medicare claims reported a 5-year mortality of 75.4% with no significant differences seen when stratified by EF among patients 65 years or older hospitalized with HF. In this group, patients with HFrEF and HFmrEF had higher readmission rates than patients with HFpEF [7•]. Similar to the Get With The Guidelines registry, the TIME-CHF cohort demonstrated no difference in mortality between those with HFrEF, HFmrEF, and HFpEF [12•]. Data from the MAGGIC (Meta-analysis Global Group in Chronic Heart Failure) group revealed similar hazard of mortality in those with HFpEF and HFmrEF and an increased hazard of mortality in the HFrEF group compared to the HFpEF group [40]. In a propensity matched cohort, HFmrEF patients were at higher risk of sudden cardiac death (HR 2.73, 95% CI 1.07–6.98) and cardiovascular death (HR 1.71, 95% CI 1.13–2.57) than those with HFpEF [41]. Finally, in CHARM, HFrEF patients were found to have a higher hazard of cardiac and all-cause mortality than HFmrEF and HFpEF patients [10•].

Future Considerations

Sodium-glucose cotransporter 2 (SGLT2) inhibitors are a novel drug class that have recently been shown to significantly influence cardiovascular outcomes. In CANVAS (Canagliflozin Cardiovascular Assessment Study), canagliflozin reduced major adverse cardiovascular events as well as renal progression and HF hospitalization in diabetic patients at high risk for cardiovascular disease [42]. In EMPA-REG OUTCOME (Empagliflozin Cardiovascular Outcome Event Trial in Type 2 Diabetes Mellitus Patients), empagliflozin improved all-cause mortality, cardiovascular mortality, and HF hospitalization in a similar population [43]. DAPA-HF (Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure) studied the impact of dapagliflozin in those with EF ≤ 40% and found that this drug significantly reduced a composite outcome of worsening HF or cardiovascular death (HR 0.74, 95% CI 0.65–0.85) [44]. RCTs are currently underway to evaluate the impact of SGLT2 inhibitors on HF outcomes among those with EF ≥ 40%.

Large RCTs in the HFmrEF population are needed, though their design and implementation pose challenges. First, it is unclear whether HFmrEF represents a distinct clinical phenotype or if it is simply a transition zone between HFrEF and HFpEF [45]. Indeed, large studies have demonstrated the dynamic nature of EF. In the Swedish Heart Failure registry, more than 1/3 of HFmrEF patients had worsening EF during follow up, while 1/4 experienced improved EF [46]. In the Washington University Heart Failure registry, the majority of those with HFmrEF had prior reduced EF, while 17% had deteriorated from a previously preserved EF [47]. In the Olmsted County Minnesota cohort, EF increased by around 7% in HFrEF and decreased by around 6% in HFpEF over 5 years, crossing 50% in almost 40% of patients [38]. The second issue lies in the accuracy of echocardiographic EF evaluation. A study evaluating the accuracy of the Simpson’s rule demonstrated high interobserver (8%–21%) and intraobserver (6%–13%) variability, suggesting risk for misclassification [48]. Potential solutions to these issues have been proposed by Lam et al. and include (1) expanding the EF range of HFpEF or HFrEF trials to include HFmrEF or to (2) study the entire range of EF in each study [45]. The former approach has delivered some data on ARB, MRA, and ARNI therapy in the HFmrEF population. While Lam et al. point out that large goal-directed medical therapy trials are unlikely to be repeated with expanded EF ranges, this strategy may play an important role in the design of future studies. The latter approach is limited by the risk of being underpowered and relies on grouping together populations of patients known to have pathologically different diseases [45].

Conclusion

There have been expanding insights into HFmrEF since its first introduction. Overall, this disease entity appears to represent a group of patients with clinical characteristics, pathophysiology, therapeutic responses, and prognosis that is at times similar to HFrEF, at others to HFpEF, and at others still to a completely unique phenotype. The management of this group of patients is challenging. While there are no RCTs in this population, post hoc analyses and observational studies suggest potential efficacy of traditional HFrEF guideline-directed medical therapy, especially for the outcome of reducing HF hospitalization. Though significant progress has been made in this area, future research is still needed to better elucidate optimal classification of HFmrEF and to identify strategies that will best achieve improvements in patient-centered outcomes.