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ORIGINAL RESEARCH article

Front. Med., 13 May 2022
Sec. Nephrology
This article is part of the Research Topic Frailty and Sarcopenia in Various Cachectic Kidney Diseases, Volume II View all 9 articles

Clinical Relevance of the LVEDD and LVESD Trajectories in HF Patients With LVEF < 35%

  • 1Department of Medical Education, Taipei Veterans General Hospital, Taipei, Taiwan
  • 2School of Medicine, National Defense Medical Center, Taipei, Taiwan
  • 3Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
  • 4Division of Family Medicine, Department of Family and Community Medicine, Tri-Service General Hospital, Taipei, Taiwan
  • 5School of Medicine, National Defense Medical Center, Taipei, Taiwan
  • 6Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
  • 7Graduate Institute of Life Sciences, National Defense Medical Center, Taipei, Taiwan
  • 8School of Public Health, National Defense Medical Center, Taipei, Taiwan
  • 9Department of Family and Community Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

Background: Certain variables reportedly are associated with a change in left ventricular ejection fraction (LVEF) in heart failure (HF) with reduced ejection fraction (HFrEF). However, literature describing the association between the recovery potential of LVEF and parameters of ventricular remodeling in echocardiography remains sparse.

Methods: We recruited 2,148 HF patients with LVEF < 35%. All patients underwent at least two echocardiographic images. The study aimed to compare LVEF alterations and their association with patient characteristics and echocardiographic findings.

Results: Patients with “recovery” of LVEF (follow-up LVEF ≥ 50%) were less likely to have prior myocardial infarction (MI), had a higher prevalence of atrial fibrillation (Af), were less likely to have diabetes and hypertension, and had a smaller left atrium (LA) diameter, left ventricular end-diastolic diameter (LVEDD) and left ventricular end-systolic diameter (LVESD), both in crude and in adjusted models (adjustment for age and sex). LVEDD cutoff values of 59.5 mm in men and 52.5 mm in women and LVESD cutoff values of 48.5 mm in men and 46.5 mm in women showed a year-to-year increase in the rate of recovery (follow-up LVEF ≥ 50%)/improvement (follow-up LVEF ≥ 35%), p-value < 0.05 in Kaplan–Meier estimates of the cumulative hazard curves.

Conclusions: Our study shows that LVEDD and LVESD increments in echocardiography can be predictors of changes in LVEF in in HF patients with LVEF < 35%. They may be used to identify patients who require more aggressive therapeutic interventions.

Introduction

Heart failure (HF) is a major public health problem associated with substantial morbidity, high mortality, and poor quality of life (1, 2). The new guidelines classify patients with HF into three categories according to left ventricular ejection fraction (LVEF): heart failure with preserved ejection fraction (HFpEF), heart failure with reduced ejection fraction (HFrEF), and heart failure with mid-range ejection fraction (HFmrEF). The diagnosis of HFrEF is defined by a reduced LVEF ≤ 40% (3). HFrEF patients have a significantly higher mortality rate than the other two types of HF patients (4, 5). With therapeutic advances over the past two decades, pharmacological therapy, coronary revascularization, and cardiac resynchronization therapy (CRT) have been used in the modern era. However, the absolute mortality among patients with HFrEF remains high and is comparable to that associated with other virulent diseases, such as cancer (6).

In a meta-analysis, improvement in LVEF and left ventricular (LV) volume was associated with lower rates of mortality among patients with HFrEF (7). Furthermore, a retrospective study reported that HF patients with recovered ejection fraction (defined as current LVEF > 40% but any previously documented LVEF < 40%) had lower mortality and fewer frequent hospitalizations than HFpEF and HFrEF patients (8). Therefore, in HFrEF, recovery of LV function is one of the treatment goals.

Shorter HF duration, lower baseline LVEF, non-ischemic cardiomyopathy, female sex, and no prior myocardial infarction (MI) were reportedly associated with an increase in LVEF in HFrEF patients (9, 10). However, echocardiographic findings other than LVEF were not included in previous studies. This study aimed to compare LVEF alterations and their association with patient characteristics and echocardiographic findings.

Methods

Study Design and Study Populations

This study was approved by the Institutional Review Board (TSGH-C202105049). It retrospectively and consecutively examined HF patients who were treated between April 2010 and September 2020 at a medical teaching hospital in northern Taiwan. Patients' clinical data were retrospectively reviewed without patients' written consent. Patients aged more than 18 years old with a primary or secondary diagnosis of HF at the time of the most recent office visit were included in the study. Participants were required to have an LVEF of <35% based on previous echocardiogram measurement and more than two echocardiographic images. That is, patients were required to have an echocardiogram showing LVEF < 35% as the baseline and one echocardiogram after that as the follow up image for analysis. Echocardiographic images were retrospectively collected in our hospital's database. The follow-up timing of echocardiography was the physicians' clinical decision. We were not involved in the decision making. We then excluded patients who had the following events or procedures between the baseline and follow-up assessment of LVEF: major cardiovascular surgery, cardiac device implantation, cancer, or heart transplant.

Recovery of LVEF was defined as an LVEF ≥ 50% on echocardiography follow-up, and improvement of LVEF was defined as an LVEF ≥ 35% but <50% on echocardiography follow-up in our analysis.

Assessment of LVEF, Other Functional Parameters, and Variables

Echocardiographic findings, baseline demographics, clinical characteristics, comorbidities, and laboratory findings were obtained from patient charts and electronic health records by trained chart review specialists. Echocardiography was acquired by experienced cardiologists or technicians using standardized methods. LVEF was determined using the M-mode in the parasternal long-axis view or Simpson's biplane method. Parameters of ventricular and atrial remodeling, including changes in left atrium (LA) diameter, LV end-diastolic diameter (LVEDD), left ventricular end-systolic diameter (LVESD), interventricular septum (IVS), left ventricular posterior wall (LVPW), estimated pulmonary artery systolic pressure (PASP), and severity of valvular regurgitation from baseline, were also collected using the American Society of Echocardiography guidelines (11). LVEDD was measured at end-diastole on parasternal views. LVESD and LA diameter were measured from the parasternal long-axis view at end-systole. The thicknesses of IVS and LVPW were measured at end diastole. Continuous wave Doppler of the tricuspid regurgitation trace was used to measure and estimate PASP. We collected other laboratory data and HF medications from our electronic health records within seven days of the start of the study.

To further investigate the predictive performance of the recovery potential of LVEF and LVESD/LVEDD, Kaplan–Meier analysis was performed using follow-up data available in the echocardiography database for the chosen cutoff values, based on the Youden index (12). Time 0 was defined as the time of the patient's first echocardiography. The follow-up time continued to the time that event occurred (improvement/recovery) or was censored at the time of the patient's last echocardiography (if an event was not noted).

Statistical Methods

Continuous variables of the general demographic data were expressed as the mean and standard deviation using Student's t-test. Categorical variables of the comorbidity described were analyzed using the χ2 or Fisher's exact test, as appropriate. A Cox proportional hazard model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) as measures of associations with LVEF improvement and LVEF recovery. The multivariable Cox proportional hazard model was used to adjust the potential confounding factors, and the adjusted variables were age and sex. A p-value < 0.05 was considered significant. Normality of distribution was tested by the Shapiro Wilk test in all continuous variables. If the distributions were skewed, we categorized these variables and reanalyzed their HRs. Statistical analyses were conducted using R software, version 3.4.4. In addition, we evaluated a Kaplan–Meier hazard curve to capture the hazard of the improvement of LVEF and recovery of LVEF, stratified by LVEDD and LVESD.

Results

A total of 2,148 patients with baseline LVEF < 35% were included in this study. Among these patients, 516 (24%) had “no recovery” (follow-up LVEF < 35%), 714 (33.2%) had “improvement” (50% > follow-up LVEF ≥ 35%), and 918 (42.7%) patients had “recovery” (follow-up LVEF ≥ 50%). Compared to the other two groups of patients (Table 1), patients with “recovery” of LVEF were younger, were less likely to be male, had a higher blood pressure, were less likely to have previous MI and hyperlipidemia, had a higher prevalence of atrial fibrillation (Af), had a lower prevalence of diabetes and impaired kidney function, had a higher LVEF at baseline, had a smaller LVEDD and LVESD at baseline, had a larger IVS at baseline, and had a smaller aortic root diameter. Besides, HF medications at baseline was retrospectively collected and showed no significant difference.

TABLE 1
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Table 1. Characteristics among patients with different follow-up LVEF groups.

We checked normality in all continuous variables, and all the continuous variables were in skewed distributions. Therefore, we categorized these variables by normal values and reanalyzed their HRs in Tables 2, 3 as follows.

TABLE 2
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Table 2. The factors associated with improvement of LVEF (LVEF ≥ 35%) by Cox proportional hazard model.

TABLE 3
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Table 3. The factors associated with recovery of LVEF (LVEF ≥ 50%) by Cox proportional hazard model.

The factors associated with LVEF improvement (LVEF ≥ 35%) are shown in Table 2. Subjects with LVEF improvement had both lower crude and adjusted models (adjustment for age and sex) of hyperlipidemia, hypertension, and baseline LVEDD/LVESD. Both higher crude and adjusted HRs of hypoalbuminemia, anemia, and liver function enzymes were also found. The adjusted HRs of creatinine and BUN were associated with LVEF improvement.

The factors associated with LVEF recovery (LVEF ≥ 50%) are shown in Table 3. Subjects with LVEF recovery had both lower crude and adjusted models (adjustment for age and sex) of hyperlipidemia, prior MI, diabetes mellitus, hypertension, baseline LVEDD/LVESD and LA diameter. Higher crude and adjusted HRs of Af, hypoalbuminemia, and anemia were also found. Liver function enzymes were associated with LVEF recovery in the crude mode, but its significance was lost after adjustment for age and sex. Since the inclusion of Af may introduce bias, we excluded Af patients and performed Supplementary Table S3. The results after excluding Af patients are similar.

Kaplan–Meier estimates of the cumulative hazard curves for possible LVEF improvement (LVEF ≥ 35%) and recovery (LVEF ≥ 50%) during the follow-up period are depicted in Figures 1, 2. The median, mean, and interquartile range (IQR) of echocardiographic follow up of Kaplan–Meier analysis for LVEF improvement were 7.47, 15.19, and 17.5 months, respectively. The median, mean, and IQR of echocardiographic follow up of Kaplan-Meier analysis for LVEF recovery were 13.01, 21.96, and 18.66 months, respectively. LVEDD cutoff values of 59.5 mm in men and 52.5 mm in female; LVESD cutoff values of 48.5 mm in men and 46.5 mm in women were determined by the maximum of Youden index (12). In male patients with LVEDD < 59.5 mm and female patients with LVEDD < 52.5 mm, there was a year-to-year increase in the rate of improvement of LVEF and recovery of LVEF (p-value < 0.05). Male patients with LVESD < 48.5 mm and female patients with LVESD < 46.5 mm exhibited a higher hazard for improvement of LVEF and recovery of LVEF (p-value < 0.05).

FIGURE 1
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Figure 1. Kaplan-Meier estimates of the cumulative hazard for LVEDD cutoff values in LVEF alterations (A) LVEDD cutoff values of 59.5 mm in men and 52.5 mm in women showed a year-to-year increase in the rate of improvement (follow-up LVEF ≥ 35%). (B) LVEDD cutoff values of 59.5 mm in men and 52.5 mm in women showed a year-to-year increase in the rate of recovery (follow-up LVEF ≥ 50%).

FIGURE 2
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Figure 2. Kaplan-Meier estimates of the cumulative hazard for LVESD cutoff values in LVEF alterations (A) LVESD cutoff values of 48.5 mm in men and 46.5 mm in women showed a year-to-year increase in the rate of improvement (follow-up LVEF ≥ 35%). (B) LVESD cutoff values of 48.5 mm in men and 46.5 mm in women showed a year-to-year increase in the rate of recovery (follow-up LVEF ≥ 50%).

Discussion

The two major findings of the present study are as follows:

• Certain variables can be used to predict the response of change in LVEF. The data in our study showed that hyperlipidemia, prior MI, diabetes mellitus, hypertension, baseline LVEDD/LVESD and LA diameter were negatively associated with the recovery of LVEF. And Af, hypoalbuminemia, and anemia were positively associated with the recovery of LVEF.

• Both LVEDD and LVESD were associated with the recovery of LVEF. Furthermore, LVEDD cutoff values of 59.5 mm in men and 52.5 mm in women, and LVESD cutoff values of 48.5 mm in men and 46.5 mm in women predicted the improvement of LVEF and recovery of LVEF and can help physicians identify patients who are more likely to have a change in LVEF.

A correlation between the therapeutic effect of LVEF and mortality was reported in a meta-analysis. The regression analyses showed that a 5% increase in the mean EF change corresponded to a decreased odds ratio (OR) for mortality and favorable outcomes (7). Furthermore, one retrospective study reported that HF patients with recovered ejection fraction (defined as current LVEF > 40% but any previously documented LVEF < 40%) had lower mortality and fewer frequent hospitalizations than patients with HFpEF and HFrEF (8). Another prospective study showed that one in four treated patients showed recovery of LVEF, and patients with recovery of LVEF (defined as LVEF < 45% at baseline and ≥45% at 1 year) had better mortality and morbidity than patients with LVEF ≥45% and LVEF < 45% throughout follow-up (13). Another retrospective study reported that patients with previously reduced but now improved LVEFs to ≥50% had the highest overall quality of life score and lower dyspnea burden than those with HFpEF and HFrEF (14). Therefore, an increase in LV ejection function is one of the treatment goals in HFrEF and is associated with better outcomes. Pharmacological therapy, coronary revascularization, and cardiac resynchronization therapy are used to achieve this goal.

Certain variables reportedly predict the change in LVEF after treatment. However, the relationship between echocardiography features and the recovery potential of LVEF remains unclear. Shorter HF duration, lower baseline LVEF, non-ischemic cardiomyopathy or no prior myocardial infarction, and female sex were associated with LVEF improvement in previous studies (9, 10). However, one different point was found in our study. Baseline LVEF not associated with LVEF increment differed from the previous results that lower baseline LVEF was associated with LVEF improvement. Nevertheless, previous studies evaluating LV reverse remodeling used different assessments, such as LVEF increase 10% (9) or 5% (10), rather than a threshold >35 or 50%. The different settings might explain the differing results relating to the association between baseline LVEF and LVEF improvement.

To the best of our knowledge, this is the first study to examine the link between parameters of LV structure remodeling, such as LVEDD and LVESD, and LVEF increments in HFrEF patients. In addition, LVEDD cutoff values of 59.5 mm in men and 52.5 mm in women, and LVESD cutoff values of 48.5 mm in men and 46.5 mm in women may be useful and simple tools for the assessment of LVEF recovery potential.

In our study, we found prior MI, LA enlargement, dyslipidemia, diabetes, and hypertension are negatively association with recovery of LVEF.

The association of LA enlargement with HF has been well established. LA is correlated with LV function and change in LV filling pressure is associated with LA size (15). Thus, LA enlargement associated with various adverse cardiovascular events in previous literatures (16, 17). In one longitudinal study, LA enlargement was associated with severity of HF and predicted HFrEF (18). On the other hand, hypertension and diabetes are associated with an increased risk of developing HF and affect clinical outcomes (19). Hyperlipidemia is common in HF patients and is associated with worse prognosis.

Non-ischemic cardiomyopathy and no prior MI were more likely to increase LVEF in our study and previous reports. These results might be explained by different cardiac remodeling processes due to diverse pathological conditions. Necropsy studies have demonstrated that patients with congestive heart failure and significant coronary artery disease have gross myocardial scarring at autopsy, even in those without a clinical history of MI, angina, or Q waves (20), and scarring is uncommon in non-ischemic cardiomyopathy (21, 22). A cardiac magnetic resonance (CMR)-based study found scarring in 100% of patients with ischemic cardiomyopathy but in only 12% with non-ischemic cardiomyopathy, which is also consistent with necropsy studies (23). These findings explain why non-ischemic cardiomyopathy and no prior MI were more likely to increase LVEF in our study and previous reports. The recovery potential might differ due to different innate biological features and responses.

We also found patients with recovery of LVEF tend to have Af, hypoalbuminemia, and anemia.

An increasing prevalence of Af was observed with increasing EF (higher in HFpEF and HFmrEF compared to HFrEF) (24, 25). We found Af is association with recovery of LVEF. Because It's difficult to distinguish whether the HF presentation is acute or chronic HF, we could not directly link Af to acute HF deterioration. But catheter ablation, cardioversion, pharmacologic rhythm control, and rate control were all reportedly contributed to LVEF improvement in Af patient (2629). The beneficial effect of Af in our study might relate to the combination of Af treatment.

Several studies demonstrated that there is an association between anemia, hypoalbuminemia and worse outcomes in HF patients regardless of LVEF, although it is unclear why these factors are associated with worse outcomes (3033). Which is differed from our analysis that patients with recovery of LVEF tend to have hypoalbuminemia and anemia. But hypoalbuminemia and anemia may contribute to volume overload, acute exacerbation, or stress. Removal of excess of fluid, re-nutrition, and transfusion are easily to perform under current clinical condition and may improve LVEF.

An add-on strategy of drugs and devices is suggested in current HF treatment guidelines for HF patients with persistent low ejection fraction. The 2015 European Society of Cardiology (ESC) guidelines recommend ICD therapy in symptomatic patients with LVEF ≤ 35% after ≥3 months of optimal medical therapy. Despite the minor differences between their recommendations depending on the underlying heart disease, LVEF thresholds ≤ 35% were used to guide device-based therapy, including implantation of primary prevention ICDs and cardiac resynchronization therapy (CRT), both in American College of Cardiology (ACC) guidelines and ESC guidelines (34, 35). Therefore, we retrospectively enrolled HF patients with an LVEF < 35% for evaluation of the LVEF recovery potential in different underlying characteristics and baseline echocardiographic findings. In the current study, LV diameter results were associated with the recovery of LVEF. Furthermore, we also found that an LVEDD less than the cutoff level of 59.5 mm in men and 52.5 mm in women and LVESD less than the cutoff level of 48.5 mm in men and 46.5 mm in women independently predicted the improvement and recovery of LVEF. In addition, an increased LVEDD suggested a long and severe remodeling process of the LV, which was difficult to reverse. An echocardiography follow-up in hypertrophic cardiomyopathy found that increased LVEDD was associated with the HF endpoint (36). Another echocardiography follow-up in patients with recovered LVEF after medical treatment found that independent predictors of LVEF deterioration (from >45 to < 45%) included a high LVESD (37). Therefore, male patients with LVEDD increments larger than 59.5 mm and LVESD larger than 48.5 mm and female patients with LVEDD increments larger than 52.5 mm and LVESD larger than 46.5 mm may be a predictor of poor recovery potential of LVEF.

HF medications at baseline showed no significant difference in each groups in Table 1. An increase in LVEF was not observed in the randomized clinical trials with angiotensin receptor-neprilysin inhibitor (ARNI) and sodium-glucose cotransporter 2 (SGLT2) inhibitors (38, 39). Nevertheless, prior randomized clinical trials described improvements in LVEF with beta-blockers, angiotensin-converting enzyme inhibitor (ACEI), angiotensin receptor blocker (ARB), mineralocorticoid receptor antagonist (MRA) therapy (13). Because HF medications at baseline was retrospectively collected from our hospital's medical record, patients who labeled as no HF medications might receive treatment in other hospital. On the other hands, dosage of HF medications was not analyzed. Clinical guidelines recommend slowly up titrating to maximal tolerated doses (19). So, patients might receive medications at variable dosing. And patients may receive follow-up and start treatment a period of time after echocardiography in outpatient department. Above factors could lead to the result that we did not find an association between HF medications at baseline and improvement in LVEF.

Our study drew its strength from a large sample size, a longitudinal design rather than a cross-sectional design, and a well-validated echocardiographic finding.

However, our analysis has some limitations that need to be acknowledged. First, all patients were from a center in Taiwan using a longitudinal design. Sampling bias and selection bias are deemed inevitable. We could not assure the generalizability of the results to other populations and could not establish a cause–effect relationship. Second, the duration and etiology of HF, which are reportedly associated with LVEF improvement in previous literature, were not mentioned in our study. Although it is unclear why the duration of heart failure modifies recovery potential, it may be related to scar burden and the cumulative level of myocyte injury (39). Third, the schedule of follow-up echocardiography was clinically driven and thus highly variable. The frequency and timing of follow-up echocardiography may be related to other heart failure outcomes. Patients who died before the follow-up echocardiography were recorded as lost to follow-up in our database, so the effect on left ventricular function improvement might be overestimated. Another potential issue is the definition of recovery. We chose to include patients with LVEF from ≤ 35% at baseline to >50% based on LVEF thresholds used to guide the cardiac device implantation of primary prevention ICDs. Whereas, this finding is congruent with prior studies, other cutoffs used to define improved LVEF include >40% [40], >45% (37), and >50% (20). A fixed improvement % of LVEF was also used, such as an LVEF increase of 10% (9) or 5% (10). Standardization of definitions in LVEF improvement/recovery is likely needed for prospective studies. Fourth, concomitant disease of Af was included, but treatment for Af was not mentioned in our analysis. Catheter ablation, pharmacologic conversion, or rate control treatment (e.g., digoxin) may have an impact on LVEF and the remodeling process. In addition, the LVEF of Af disease is variable from beat to beat. Finally, an add-on strategy of pharmacological therapy and devices, including ACEI, beta-blockers, MRA, and ARNI, is suggested in current HF treatment guidelines. However, doses of HF medications at baseline and HF medications at follow-up were not analyzed in the study. Patients might receive variable medications, at variable dosing and for variable durations or may not receive appropriate HF treatment. All the above factors may limit the generalizability of the findings.

Conclusions

In our study, no previous MI history, no hyperlipidemia, no hypertension, non-diabetic, smaller baseline LVEDD/LVESD and LA diameter were associated with 50% or greater LVEF recovery. LVEDD cutoff values of 59.5 mm in men and 52.5 mm in women and LVESD cutoff values of 48.5 mm in men and 46.5 mm in women were associated with LVEF increments. These data may inform discussions on therapies for HFrEF and can be the bases for future research on parameters of ventricular remodeling.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Ethics Statement

The studies involving human participants were reviewed and approved by Tri-Service General Hospital. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author Contributions

Y-CC contributed to drafting of the manuscript and critical revision of the manuscript. S-CH contributed to algorithm development, drafting of the manuscript, and submission process. Y-PC contributed to data acquisition, concept generation, and the methodology. Y-WC contributed to data acquisition and concept generation. C-SL contributed to concept generation and the methodology. CL contributed to the methodology, data acquisition, and interpretation. W-HF contributed to concept generation, the methodology, data acquisition and interpretation, and approval of the article authors. All authors contributed to the article and approved the submitted version.

Funding

This study was funded by the Ministry of Science and Technology, Taiwan (110-2314-B-016-008 to W-HF), the Tri-Service General Hospital, Taiwan (TSGH-E-111217 to W-HF), and National Defense Medical Center (MND-MAB-D-111143 to W-HF).

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2022.846361/full#supplementary-material

References

1. Lloyd-Jones D, Adams R, Carnethon M, De Simone G, Ferguson T, Flegal K, et al. American Heart Association Statistics Committee and Stroke Statistics Subcommittee: Heart disease and stroke statistics-2009 update: a report from the American heart association statistics committee and stroke statistics subcommittee. Circulation. (2009) 119:480–6. doi: 10.1161/CIRCULATIONAHA.108.191259

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Ponikowski P, Anker SD, AlHabib KF, Cowie MR, Force TL, Hu S, et al. Heart failure: preventing disease and death worldwide. ESC Heart Fail. (2014) 1:4–25. doi: 10.1002/ehf2.12005

PubMed Abstract | CrossRef Full Text | Google Scholar

3. McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Bohm M, et al. Corrigendum to: 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 Heart J. (2021) 42:3599–726. doi: 10.1093/eurheartj/ehab670

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Chioncel O, Lainscak M, Seferovic PM, Anker SD, Crespo-Leiro MG, Harjola VP, et al. Epidemiology and one-year outcomes in patients with chronic heart failure and preserved, mid-range and reduced ejection fraction: an analysis of the ESC Heart Failure Long-Term Registry. Eur J Heart Fail. (2017) 19:1574–85. doi: 10.1002/ejhf.813

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Cheng RK, Cox M, Neely ML, Heidenreich PA, Bhatt DL, Eapen ZJ, et al. Outcomes in patients with heart failure with preserved, borderline, and reduced ejection fraction in the Medicare population. Am Heart J. (2014) 168:721–30. doi: 10.1016/j.ahj.2014.07.008

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Askoxylakis V, Thieke C, Pleger ST, Most P, Tanner J, Lindel K, et al. Long-term survival of cancer patients compared to heart failure and stroke: a systematic review. BMC Cancer. (2010) 10:105. doi: 10.1186/1471-2407-10-105

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Kramer DG, Trikalinos TA, Kent DM, Antonopoulos GV, Konstam MA, Udelson JE. Quantitative evaluation of drug or device effects on ventricular remodeling as predictors of therapeutic effects on mortality in patients with heart failure and reduced ejection fraction: a meta-analytic approach. J Am Coll Cardiol. (2010) 56:392–406. doi: 10.1016/j.jacc.2010.05.011

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Kalogeropoulos AP, Fonarow GC, Georgiopoulou V, Burkman G, Siwamogsatham S, Patel A, et al. Characteristics and outcomes of adult outpatients with heart failure and improved or recovered ejection fraction. JAMA Cardiol. (2016) 1:510–8. doi: 10.1001/jamacardio.2016.1325

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Wilcox JE, Fonarow GC, Yancy CW, Albert NM, Curtis AB, Heywood JT, et al. Factors associated with improvement in ejection fraction in clinical practice among patients with heart failure: findings from IMPROVE HF. Am Heart J. (2012) 163:49–56.e2. doi: 10.1016/j.ahj.2011.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

10. DeVore AD, Hellkamp AS, Thomas L, Albert NM, Butler J, Patterson JH, et al. Improvement in left ventricular ejection fraction in outpatients with heart failure with reduced ejection fraction: data from CHAMP-HF. Circ Heart Fail. (2020) 13:e006833. doi: 10.1161/CIRCHEARTFAILURE.119.006833

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Rychik J, Ayres N, Cuneo B, Gotteiner N, Hornberger L, Spevak PJ, et al. American Society of Echocardiography guidelines and standards for performance of the fetal echocardiogram. J Am Soc Echocardiogr. (2004) 17:803–10. doi: 10.1016/j.echo.2004.04.011

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Unal I. Defining an optimal cut-point value in roc analysis: an alternative approach. Comput Math Methods Med. (2017) 2017:3762651. doi: 10.1155/2017/3762651

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Lupon J, Diez-Lopez C, de Antonio M, Domingo M, Zamora E, Moliner P, et al. Recovered heart failure with reduced ejection fraction and outcomes: a prospective study. Eur J Heart Fail. (2017) 19:1615–23. doi: 10.1002/ejhf.824

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Joyce E, Chung C, Badloe S, Odutayo K, Desai A, Givertz MM, et al. Variable contribution of heart failure to quality of life in ambulatory heart failure with reduced, better, or preserved ejection fraction. JACC Heart Fail. (2016) 4:184–93. doi: 10.1016/j.jchf.2015.12.011

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Hoit BD. Left atrial size and function: role in prognosis. J Am Coll Cardiol. (2014) 63:493–505. doi: 10.1016/j.jacc.2013.10.055

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Di Tullio MR, Qian M, Thompson JLP, Labovitz AJ, Mann DL, Sacco RL, et al. Left atrial volume and cardiovascular outcomes in systolic heart failure: effect of antithrombotic treatment. ESC Heart Fail. (2018) 5:800–8. doi: 10.1002/ehf2.12331

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Froehlich L, Meyre P, Aeschbacher S, Blum S, Djokic D, Kuehne M, et al. Left atrial dimension and cardiovascular outcomes in patients with and without atrial fibrillation: a systematic review and meta-analysis. Heart. (2019) 105:1884–91. doi: 10.1136/heartjnl-2019-315174

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Zhu N, Chen H, Zhao X, Ye F, Jiang W, Wang Y. Left atrial diameter in heart failure with left ventricular preserved, mid-range, and reduced ejection fraction. Medicine. (2019) 98:e18146. doi: 10.1097/MD.0000000000018146

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, et al. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J. (2016) 37:2129–200. doi: 10.1093/eurheartj/ehw128

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Schuster EH, Bulkley BH. Ischemic cardiomyopathy: a clinicopathologic study of fourteen patients. Am Heart J. (1980) 100:506–12. doi: 10.1016/0002-8703 (80)90663-8

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Uretsky BF, Thygesen K, Armstrong PW, Cleland JG, Horowitz JD, Massie BM, et al. Acute coronary findings at autopsy in heart failure patients with sudden death: results from the assessment of treatment with lisinopril and survival (ATLAS) trial. Circulation. (2000) 102:611–6. doi: 10.1161/01.CIR.102.6.611

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Roberts WC, Siegel RJ, McManus BM. Idiopathic dilated cardiomyopathy: analysis of 152 necropsy patients. Am J Cardiol. (1987) 60:1340–55. doi: 10.1016/0002-9149 (87)90618-7

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Bello D, Shah DJ, Farah GM, Di Luzio S, Parker M, Johnson MR, et al. Gadolinium cardiovascular magnetic resonance predicts reversible myocardial dysfunction and remodeling in patients with heart failure undergoing β-blocker therapy. Circulation. (2003) 108:1945–53. doi: 10.1161/01.CIR.0000095029.57483.60

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Zafrir B, Lund LH, Laroche C, Ruschitzka F, Crespo-Leiro MG, Coats AJS, et al. Prognostic implications of atrial fibrillation in heart failure with reduced, mid-range, and preserved ejection fraction: a report from 14 964 patients in the European Society of Cardiology Heart Failure Long-Term Registry. Eur Heart J. (2018) 39:4277–84. doi: 10.1093/eurheartj/ehy626

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Lam CS, Santema BT, Voors AAJJHF. Atrial fibrillation in heart failure: a common and deadly combination. Am Coll Cardiol Found Washington DC. (2017) 5:575–7. doi: 10.1016/j.jchf.2017.05.010

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Eysenck W, Saba M. Rhythm control in heart failure patients with atrial fibrillation. Arrhythm Electrophysiol Rev. (2020) 9:161–6. doi: 10.15420/aer.2020.23

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Sohns C, Zintl K, Zhao Y, Dagher L, Andresen D, Siebels J, et al. Impact of left ventricular function and heart failure symptoms on outcomes post ablation of atrial fibrillation in heart failure: CASTLE-AF trial. Circ Arrhythm Electrophysiol. (2020) 13:e008461. doi: 10.1161/CIRCEP.120.008461

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Rillig A, Magnussen C, Ozga AK, Suling A, Brandes A, Breithardt G, et al. Early rhythm control therapy in patients with atrial fibrillation and heart failure. Circulation. (2021) 144:845–58. doi: 10.1161/CIRCULATIONAHA.121.056323

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Lee DS, Austin PC, Rouleau JL, Liu PP, Naimark D, Tu JV. Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model. JAMA. (2003) 290:2581–7. doi: 10.1001/jama.290.19.2581

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Sharma R, Francis DP, Pitt B, Poole-Wilson PA, Coats AJ, Anker SD. Haemoglobin predicts survival in patients with chronic heart failure: a substudy of the ELITE II trial. Eur Heart J. (2004) 25:1021–8. doi: 10.1016/j.ehj.2004.04.023

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Horwich TB, Kalantar-Zadeh K, MacLellan RW, Fonarow GC. Albumin levels predict survival in patients with systolic heart failure. Am Heart J. (2008) 155:883–9. doi: 10.1016/j.ahj.2007.11.043

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Allen LA, Felker GM, Pocock S, McMurray JJ, Pfeffer MA, Swedberg K, et al. Liver function abnormalities and outcome in patients with chronic heart failure: data from the Candesartan in Heart Failure: Assessment of Reduction in Mortality and Morbidity (CHARM) program. Eur J Heart Fail. (2009) 11:170–7. doi: 10.1093/eurjhf/hfn031

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Tracy CM, Epstein AE, Darbar D, DiMarco JP, Dunbar SB, Estes NM, et al. 2012 ACCF/AHA/HRS focused update incorporated into the ACCF/AHA/HRS 2008 guidelines for device-based therapy of cardiac rhythm abnormalities: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. J Am Coll Cardiol. (2013) 61:e6–e75. doi: 10.1016/j.jacc.2012.11.007

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Members ATF, Priori SG, Blomström-Lundqvist C, Mazzanti A, Blom N, Borggrefe M, et al. 2015 ESC Guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: The Task Force for the Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death of the European Society of Cardiology (ESC). Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC). Ep Europace. (2015) 17:1601–87. doi: 10.1016/j.rec.2016.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Hiemstra YL, Debonnaire P, van Zwet EW, Bootsma M, Schalij MJ, Bax JJ, et al. Development of and progression of overt heart failure in nonobstructive hypertrophic cardiomyopathy. Am J Cardiol. (2018) 122:656–62. doi: 10.1016/j.amjcard.2018.04.038

PubMed Abstract | CrossRef Full Text | Google Scholar

36. de Groote P, Fertin M, Duva Pentiah A, Goéminne C, Lamblin N, Bauters C. Long-term functional and clinical follow-up of patients with heart failure with recovered left ventricular ejection fraction after β-blocker therapy. Circul Heart Fail. (2014) 7:434–9. doi: 10.1161/CIRCHEARTFAILURE.113.000813

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Desai AS, Solomon SD, Shah AM, Claggett BL, Fang JC, Izzo J, et al. Effect of Sacubitril-valsartan vs. enalapril on aortic stiffness in patients with heart failure and reduced ejection fraction: a randomized clinical trial. JAMA. (2019) 322:1077–84. doi: 10.1001/jama.2019.12843

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Lee MM, Brooksbank KJ, Wetherall K, Mangion K, Roditi G, Campbell RT, et al. Effect of empagliflozin on left ventricular volumes in patients with type 2 diabetes, or prediabetes, and heart failure with reduced ejection fraction (SUGAR-DM-HF). Circulation. (2021) 143:516–25. doi: 10.1161/CIRCULATIONAHA.121.055067

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Van Kirk J, Fudim M, Green CL, Karra R. Heterogeneous outcomes of heart failure with better ejection fraction. J Cardiovasc Transl Res. (2020) 13:142–50. doi: 10.1007/s12265-019-09919-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: heart failure with reduced ejection fraction (HFrEF), ejection fraction, left ventricle end diastolic dimension (LVEDD), left ventricle end systolic dimension (LVESD), changes in ejection fraction

Citation: Chen Y-C, Hsing S-C, Chao Y-P, Cheng Y-W, Lin C-S, Lin C and Fang W-H (2022) Clinical Relevance of the LVEDD and LVESD Trajectories in HF Patients With LVEF < 35%. Front. Med. 9:846361. doi: 10.3389/fmed.2022.846361

Received: 31 December 2021; Accepted: 20 April 2022;
Published: 13 May 2022.

Edited by:

Chia-Ter Chao, National Taiwan University Hospital, Taiwan

Reviewed by:

April Slee, University College London, United Kingdom
Li-Chin Sung, Taipei Medical University, Taiwan

Copyright © 2022 Chen, Hsing, Chao, Cheng, Lin, Lin and Fang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Wen-Hui Fang, cnVtYWYuZmFuZyYjeDAwMDQwO2dtYWlsLmNvbQ==

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