Published online Jul 26, 2022. doi: 10.4330/wjc.v14.i7.438
Peer-review started: March 11, 2022
First decision: May 31, 2022
Revised: June 9, 2022
Accepted: July 8, 2022
Article in press: July 8, 2022
Published online: July 26, 2022
Processing time: 130 Days and 19.5 Hours
Left ventricular (LV) ejection fraction (LVEF), defined as LV stroke volume divided by end-diastolic volume, has been systematically used for the diagnosis, classification, and management of heart failure (HF) over the last three decades. HF is classified as HF with reduced LVEF, HF with midrange or mildly reduced LVEF, and HF with preserved LVEF using arbitrary, continuously changing LVEF cutoffs. A prerequisite for using this LVEF-based terminology is knowledge of the LVEF normal range, which is lacking and may lead to erroneous conclusions in HF, especially at the higher end of the LVEF spectrum.
Core Tip: Left ventricular ejection fraction (LVEF) has been consistently used for the diagnosis, classification, and management of heart failure (HF) over the last three decades. HF is classified as HF with reduced LVEF, HF with midrange or mildly reduced LVEF, and HF with preserved LVEF using arbitrary, continuously changing LVEF cutoffs. A prerequisite for using this terminology is knowledge of the LVEF normal range, which is lacking and may lead to erroneous conclusions, especially at the higher end of the LVEF spectrum.
- Citation: Xanthopoulos A, Giamouzis G, Skoularigis J, Triposkiadis F. Heart failure with reduced, mildly reduced, or preserved left ventricular ejection fraction: Has reasoning been lost? World J Cardiol 2022; 14(7): 438-445
- URL: https://www.wjgnet.com/1949-8462/full/v14/i7/438.htm
- DOI: https://dx.doi.org/10.4330/wjc.v14.i7.438
Left ventricular (LV) ejection fraction (LVEF), defined as LV stroke volume divided by LV end-diastolic volume, is the only biomarker that has been systematically used for the diagnosis, classification, and management of heart failure (HF) over the last three decades[1]. Accordingly, HF has been classified into HF with reduced LVEF (HFrEF), HF with midrange or mildly reduced LVEF (HFmrEF), and HF with preserved LVEF (HFpEF) using various, continuously changing LVEF cutoffs. A mandatory prerequisite for the use of this LVEF-based terminology is the definition of the normal LVEF range, which is lacking. From this perspective, we discuss the limitations related to the current LVEF-based classification of HF and provide examples of erroneous conclusions that can be drawn, especially in HF patients at the higher end of the HF spectrum.
The LVEF-based classification of HF was initially applied several decades ago in the clinical trials of neurohormonal inhibitors in which LVEF cutoffs of < 35% or 40% were chosen arbitrarily to define patients with HF perceived to be at greatest risk (HFrEF). Several years later, clinical trials with similar agents and endpoints were conducted in patients with HF with an LVEF of ≥ 40%-50% (HFpEF), but they were considered unsuccessful for various reasons[2,3]. Recently, another HF phenotype (HFmrEF) was added based on the underrepresentation of patients with HF with an LVEF of 40%-50% in clinical trials. The LVEF cutoffs used for HF classification have varied continuously in the guidelines issued by scientific societies (Figure 1)[4]. The 2013 American College of Cardiology Foundation/American Heart Association guidelines defined HFrEF by an LVEF of ≤ 40%, borderline HFpEF by an LVEF of 41%-49%, and HFpEF by an LVEF of ≥ 50%[5]. By contrast, the National Heart Foundation of Australia and the Cardiac Society of Australia and New Zealand guidelines defined HFrEF and HFpEF by an LVEF of < 50% and ≥ 50%, respectively, and did not recognize borderline HFpEF or HFmrEF as a distinct entity[6]. Furthermore, in the recent Universal Definition and Classification of Heart Failure[7], which was adopted by the European Society of Cardiology[8], HF classification includes HFrEF with an LVEF of ≤ 40%, HFmrEF with an LVEF of 41%-49%, and HFpEF with an LVEF of ≥ 50%. Subsequently, another classification of HF was proposed, which defines HFrEF by an LVEF of < 40%, HFmrEF by 40% ≤ LVEF < normal, and HF with normal EF by an LVEF of ≥ 55% in men and ≥ 60% in women[9]. LVEF can be reduced, mildly reduced, preserved, or normal; however, what is the normal LVEF range? According to the 2015 recommendations of the American Society of Echocardiography and the European Association of Cardiovascular Imaging, the normal reference range for LVEF is 52%-72% for males and 54%-74% for females[10]. The latest guidelines from the British Society of Echocardiography define LVEF ≥ 55% as normal (preserved)[11]. However, several recent studies have raised serious concerns regarding the normal LVEF range as proposed by echocardiographic societies. Wehner et al[12] investigated the relationship between LVEF and survival by linking physician-reported LVEF on 403977 echocardiograms obtained from 203135 patients to all-cause mortality in the United States, and validated their findings in a dataset including 45531 echocardiograms and 35976 patients from New Zealand. During follow-up, unadjusted hazard ratios for mortality showed a U-shaped relationship for LVEF with a nadir of risk at an LVEF of 60%-65% in both datasets. The results were similar after adjusting for conditions associated with an elevated LVEF, including mitral regurgitation, increased wall thickness, and anemia and when restricted to patients reported to have HF at the time of the echocardiogram (Figure 2). Slightly different but trending in the same direction were the findings of another study including approximately 500000 participants, which reported that in both women and men, mortality was lowest at an LVEF of 65.0%–69.9%[13]. However, in the same study, sex-dependent differences in the relationship between LVEF and mortality were observed. In women, an increased risk of cardiovascular-related mortality persisted to an LVEF of 60.0%–64.9%, whereas in men, the equivalent LVEF was lower (55.0%–59.9%) (Figure 3)[13]. Sex-related differences were also reported in 4632 patients from coronary computed tomography angiography evaluation for clinical outcomes, namely, an international multicenter registry in which LVEF was measured by cardiac computed tomography and participants were categorized according to LVEF (low < 55%, normal 55%–65%, and high > 65%)[14]. After 6 years of follow-up, no difference in mortality was observed in patients with high LVEF in the overall cohort. However, when data were stratified by sex, women with high LVEF died more often from any cause compared to women with normal LVEF, while an opposite trend was observed in men[14]. Thus, the LVEF-based terminology for HF classification is challenged based on recent evidence.
Therefore, it is not surprising that the LVEF-based classification might lead to erroneous conclusions when interpreting the results of various studies enrolling HF patients at the upper end of the LVEF spectrum (Table 1). A typical example is the recently published Empagliflozin outcome trial in patients with chronic HF with preserved EF (EMPEROR-preserved trial), which reported a benefit with empagliflozin (compared with placebo) in HFpEF defined by an LVEF > 40%[15,16] which is different from the 50% cutoff recommended in the Universal Definition and Classification of Heart Failure[7]. It is noteworthy that in the EMPEROR-preserved trial, ~90% of the patients suffered from hypertension, ~49% from diabetes, and ~51% from atrial fibrillation. By contrast, in a study by Lupon et al[17], which was used as evidence supporting phenotypic persistence in HFpEF[18], an LVEF cutoff of 50% was used and the patient characteristics were entirely different from those in the EMPEROR-preserved trial with approximately 12% of the participants suffering from hypertrophic cardiomyopathy and 36% from valvular heart disease. Thus, when interpreting these two HFpEF studies, it would be challenging to extrapolate the findings of one to the other. Therefore, no firm conclusions can be drawn regarding the effectiveness of empagliflozin or phenotypic persistence in HFpEF.
Ref. | Drug | LVEF cut off | |
Registries | |||
Yancy et al[22] | ADHERE | - | ≥ 40 |
Fonarow et al[23] | OPTIMIZE-HF | - | ≥ 40%; ≥ 50% |
Steinberg et al[24] | GWTG-HF | - | ≥ 50%; 40%-50% |
Randomized controlled trials | |||
Yusuf et al[25] | CHARM-PRESERVED | Candesartan | > 40% |
Cleland et al[26] | PEP-CHF | Perindopril | > 40% |
Massie et al[27] | I-PRESERVE | Irbesartan | ≥ 45% |
van Veldhuisen et al[28] | SENIORS | Nebivolol | > 35% |
Redfield et al[29] | RELAX Trial | Phosphodiesterase-5 inhibitors | ≥ 50 |
Yamamoto et al[30] | J-DHF | Carvedilol | > 40% |
Ahmed et al[31] | DIG-PEF | Digitalis | > 45% |
Pitt et al[32] | TOPCAT | Spironolactone | ≥ 45% |
Solomon et al[33] | PARAMOUNT | Sacubitril/Valsartan | ≥ 45% |
Solomon et al[34] | PARAGON HF | Sacubitril/Valsartan | ≥ 45% |
Pieske et al[35] | SOCRATES-PRESERVED | Vericiguat | ≥ 45% |
Armstrong et al[36] | VITALITY-HFpEF | Vericiguat | ≥ 45% |
Anker et al[15] | EMPEROR-PRESERVED | Empagliflozin | > 40% |
Solomon et al[37] | DELIVER trial | Dapagliflozin | > 40% |
Meta-analysis | |||
Meta-analysis Global Group in Chronic Heart Failure[38] | MAGGIC | - | ≥ 50 |
Zheng et al[39] | Systematic review and meta-analysis | Neurohormonal inhibitors | ≥ 40% |
LVEF-based classification of HF phenotypes has served well over the years. However, HF is such a complex syndrome that no single marker can be used to classify those patients. Accumulating data from recent studies show that markers of contractility such as longitudinal strain[19] and cardiac power[20] outperform the LVEF. The incorporation of artificial intelligence (AI) in diagnostic modalities, outcome predictions, and management of HF (individualized precision medicine) constitutes a major development in the field of cardiovascular medicine. In this regard, developing and validating universally accepted scoring systems based on AI would be a fruitful area of research. The LVEF has been considered the holy grail for HF classification treatment guidance for years. The time for change has come, unless one wants to justify those claiming that most published research findings are false[21].
Provenance and peer review: Invited article; Externally peer reviewed.
Peer-review model: Single blind
Specialty type: Cardiac and cardiovascular systems
Country/Territory of origin: Greece
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P-Reviewer: Gupta P, United States; Hong X, China; Kharlamov AN, Netherlands; Patel L, United States; Wang T, China S-Editor: Zhang H L-Editor: Filipodia P-Editor: Zhang H
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