Skip to main content

ORIGINAL RESEARCH article

Front. Cardiovasc. Med., 17 January 2022
Sec. Heart Valve Disease
Volume 8 - 2021 | https://doi.org/10.3389/fcvm.2021.800961

Prognostic Impact of Left Ventricular Ejection Fraction in Patients With Moderate Aortic Regurgitation: Potential Implications for Treatment Decision-Making

Qinghao Zhao1 Bin Zhang1 Yunqing Ye1 Zhe Li1 Qingrong Liu1 Rui Zhao2 Zhenyan Zhao1 Weiwei Wang1 Zikai Yu1 Haitong Zhang1 Zhenya Duan1 Bincheng Wang1 Junxing Lv1 Shuai Guo1 Yanyan Zhao3 Runlin Gao1 Haiyan Xu1* Yongjian Wu1* for the China-VHD Study Collaborators
  • 1Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
  • 2Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
  • 3Medical Research & Biometrics Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Background: The prognostic impact and optimal treatment of left ventricular systolic dysfunction in patients with moderate aortic regurgitation (AR) remain unknown. We aimed to assess the prognostic value of left ventricular ejection fraction (LVEF) in patients with moderate AR and explore the potential benefits of aortic valve intervention (AVI).

Methods: In total, 1,211 consecutive patients with moderate AR (jet width, 25–64% of LV outflow tract; vena contracta, 0.3–0.6 cm; regurgitant volume, 30–59 mL/beat; regurgitant fraction, 30–49%; effective regurgitation orifice, 0.10–0.29 cm2) prospectively registered between April and June 2018 at 46 academic hospitals were included. The primary outcome was a composite of death or hospitalization for heart failure (HHF). The optimal LVEF threshold for predicting the primary outcome was determined through the penalized spline shape and maximally selected rank statistics.

Results: During the 2-year follow-up, 125 deaths or HHF occurred. In the penalized splines, the relative hazard of death or HHF monotonically increased with decreasing LVEF. In the multivariate analysis, LVEF ≤55% was identified as the best threshold for independently predicting death or HHF under medical treatment (adjusted hazard ratio [HR]: 2.18; 95% confidence interval [CI] 1.38–3.42; P = 0.001), with substantial incremental values (integrated discrimination improvement index = 0.018, P = 0.030; net reclassification improvement index = 0.225, P = 0.006; likelihood ratio test P < 0.001). Among patients with LVEF 35–55%, AVI within 6 months of diagnosis was associated with a reduced risk of death or HHF compared with medical treatment alone (adjusted HR: 0.15; 95% CI: 0.04–0.50; P = 0.002), whereas this benefit was markedly attenuated when LVEF was ≤35% (adjusted HR: 0.65; 95% CI: 0.21–1.97; P = 0.441, P-interaction = 0.010) or >55% (adjusted HR: 0.40; 95% CI: 0.14–1.15; P = 0.089, P-interaction = 0.723).

Conclusions: LVEF is an independent and incremental prognostic factor in patients with moderate AR, with LVEF ≤55% being a robust marker of poor prognosis. Patients with LVEF 35–55% may benefit from early surgical correction of moderate AR. Further studies are warranted to validate our findings in a randomized setting.

Registration: China Valvular Heart Disease Study (China-VHD study, NCT03484806); clinicaltrials.gov/ct2/show/NCT03484806.

Introduction

The prevalence of aortic regurgitation (AR), a common valvular heart disease (VHD), increases sharply with age (1). Large population-based epidemiological studies reported that 2.0–2.3% of people aged >70 years have moderate or greater AR (1, 2). Additionally, left ventricular systolic dysfunction (LVSD) is highly prevalent in older adults, affecting up to 11% of the community-dwelling elderly population (3). Therefore, significant AR and LVSD often coexist in the elderly population, with a predominance of moderate AR (4). Whether as a direct cause or a comorbid condition of LVSD, AR imposes a significant preload and afterload burden on the left ventricle (LV), thereby exacerbating systolic dysfunction (5). In this case, the presence of moderate AR may not be as benign in patients with LVSD as in those with normal LV systolic function; however, relevant data are still lacking.

As a common indicator of LVSD, reduced LV ejection fraction (LVEF) <50 or 55% is known to be a potent predictor of poor prognosis and serves as a reasonable indication for aortic valve intervention (AVI) in patients with severe AR (6, 7). However, the prognostic value of LVEF and its best cutoff for risk prediction in patients with moderate AR remain unclear. Moreover, among patients with the failing LV, reduced hemodynamic burden following mechanical relief from significant aortic valve disease may substantially improve long-term prognosis (8). Recent studies have reported that patients with moderate aortic stenosis and LVSD could derive considerable prognostic improvements from AVI (9, 10), but no data is available regarding the potential benefits of AVI in patients with moderate AR and LVSD. In this case, recommendations for moderate AR are based on expert opinion, with AVI being indicated only when undergoing other cardiac or aortic surgeries (Class IIa, Level C) (7).

Thus, this study aimed to assess the prognostic impact of reduced LVEF on patients with moderate AR, and determine the optimal LVEF cutoff for predicting poor prognosis under conservative treatment, and explore the potential effectiveness of AVI in improving symptoms and outcomes of patients with moderate AR and LVSD.

Methods

Study Population

The China Valvular Heart Disease Study (China-VHD, NCT03484806) is a nationwide, multicenter, prospective cohort study involving adult patients (≥18 years) with VHD. Patients were recruited between April and June 2018 from inpatient wards and outpatient clinics of 46 large academic hospitals throughout China (Supplementary Methods). In this study, patients with moderate or severe native VHD, as defined by echocardiography using an integrative approach according to the 2014 American Heart Association/American College of Cardiology (AHA/ACC) guidelines (11), endocarditis, and previous valvular intervention were consecutively enrolled. Institutional Review Boards at the National Center for Cardiovascular Diseases of China approved the study protocol. Written informed consent was obtained from all eligible participants.

In total, 13,917 consecutive adult patients with VHD were enrolled. Moderate AR was observed in 2,365 patients (jet width, 25–64% of LV outflow tract; vena contracta, 0.3–0.6 cm; regurgitant volume, 30–59 mL/beat; regurgitant fraction, 30–49%; effective regurgitation orifice, 0.10–0.29 cm2) (11). We excluded patients with previous AVI, acute AR resulting from aortic dissection or active endocarditis, ≥moderate aortic or mitral stenosis, ≥moderate primary or severe secondary mitral regurgitation (MR), dilated and hypertrophic cardiomyopathy, congenital heart disease (except dysmorphic aortic valve), acute aortic syndrome, aortic rupture, and acute myocardial infarction (MI) within 90 days. Since secondary MR is a common comorbid condition in patients with LVSD presenting with LV dilatation, patients with moderate secondary MR were not excluded to avoid selection bias in LV dimensions. Finally, 1,211 patients were included.

Echocardiography

All patients underwent comprehensive transthoracic 2-dimensional and Doppler echocardiography using standard ultrasound systems. Chamber quantification was performed according to the echocardiography guidelines (12). LVEF was estimated using the biplane-modified Simpson method. Aortic measurements were obtained from the parasternal long-axis window. Pulmonary artery pressure was calculated from the maximum peak tricuspid regurgitation velocity using the Bernoulli equation. Quality control of the echocardiographic measurements is detailed in Supplementary Methods.

Clinical Outcomes

The primary outcome was a composite of all-cause death or hospitalization for heart failure (HHF). HHF was defined as hospitalization with a primary diagnosis of heart failure (HF) where the patient exhibited new or worsening symptoms and evidence of HF and received initiation or intensification of treatment specifically for HF. The composite of all-cause death or HHF under medical treatment (MT) was also assessed in the whole cohort with censoring at the time of AVI if performed. Hence, in patients who underwent AVI, the time between baseline echocardiography and AVI was considered as medically managed follow-up. Outcome data were obtained from patient visits, medical records, and telephone interviews (detailed in Supplementary Methods).

Statistical Analyses

Continuous data are summarized as mean ± standard deviation or median with interquartile range and compared using the Student t-test or Mann-Whitney U-test, as appropriate. Categorical data are presented as percentages and compared using the chi-square test.

To assess the prognostic impact of LVEF on moderate AR, we initially used penalized splines (P-splines) to depict the shape of the association between LVEF and the primary outcome in overall, medically, and AVI managed patients, where AVI was treated in a time-dependent manner in which the time between baseline echocardiography and AVI was considered as medically managed follow-up. In conjunction with the P-spline shape under MT, we employed the maximally selected rank statistics method to determine the most significant LVEF cutoff for predicting death or HHF under MT, with the largest standardized log-rank statistics over all possible cutoff points (13). Based on the selected LVEF threshold, we estimated the cumulative incidences of outcomes under MT using the Kaplan-Meier method and assessed hazard ratios (HRs) with 95% confidence intervals (CIs) using Cox proportional-hazards models. In the multivariate analysis, the least absolute shrinkage and selection operator (LASSO)-penalized Cox regression was used to identify the variables associated with death or HHF under MT with additional regard for clinical relevance (detailed in Supplementary Methods) (14). The following variables were selected in the final adjusted model: age, body mass index (BMI), atrial fibrillation (AF), prior MI, prior coronary artery bypass grafting (CABG), chronic kidney disease, New York Heart Association (NYHA) class III/IV, hemoglobin, LV end-systolic diameter (LVESD) >50 mm, pulmonary hypertension, and EuroSCORE-II. In addition, we also assessed the association pattern of LVEF with the primary outcome and the best threshold for risk prediction in an age- and sex-matched population without left-sided VHD for comparison (detailed in Supplementary Methods).

To analyze the incremental value of LVEF, we introduced LVEF as a continuous or categorical variable (dichotomized by the selected LVEF cutoff) to a base model (including all covariables in the abovementioned multivariate analysis) and compared the model performance. The C-index, integrated discrimination improvement (IDI) index, and net reclassification improvement (NRI) index were calculated to assess the discrimination properties. The likelihood ratio (LR) test and Bayesian information criteria were used to evaluate the calibration properties. Decision curve analysis was also performed to further validate the incremental value of LVEF.

To investigate the effectiveness of AVI in prognostic improvement among patients with moderate AR and LVSD, we delineated the pattern of the relative risk for the primary outcome after AVI vs. under MT according to LVEF using the P-spline. Based on the P-spline shape and the best LVEF threshold for risk prediction, we divided the LVEF into three ranges (≤35%, 35–55%, >55%) and assessed the impact of AVI on the primary outcome of each using inverse probability of treatment weighted (IPTW) Cox regression models (detailed in Supplementary Methods). The following variables were used to construct the IPTW weights: age, sex, BMI, systolic blood pressure, AF, coronary artery disease (CAD), prior MI, prior CABG, aortic disease, chronic kidney disease, NYHA class III/IV, hemoglobin, LVEF, LVESD >50 mm, secondary MR, pulmonary hypertension, EuroSCORE-II, use of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, and use of beta-blockers. Of note, to avoid immortal-time bias (15), the time-zero of the Cox models was the time of AVI for the recipients and day 15 following the baseline echocardiography for the non-recipients. Moreover, given the changing nature of LVEF and AR severity during follow-up, we assessed only the prognostic impact of early AVI treatment, defined as AVI within 6 months of the baseline echocardiography, excluding patients who underwent AVI after 6 months. Among the same population, we employed river plots to demonstrate the 2-year temporal changes in symptom status (NYHA functional classification) under MT and early AVI treatment (within 6 months). Statistical significance was set at two-tail P < 0.05. All analyses were performed using R 4.0.2 (R Foundation for Statistical Computing, Vienna, Austria).

Results

Baseline Characteristics and Treatment

The baseline characteristics are presented in Table 1. The median age of the 1,211 patients was 66 (57–73) years; 67.6% were male. Hypertension (59.4%), diabetes (12.6%), AF (18.2%), CAD (41.3%), and aortic disease (14.7%) were highly prevalent. Among them, 24.1% had NYHA class III/IV HF. The median LVEF was 59% (52–64%) and the median EuroSCORE-II was 1.0 (0.7–1.9).

TABLE 1
www.frontiersin.org

Table 1. Baseline characteristics.

Within 2 years, 306 (25.3%) patients underwent AVI, 298 of them within 6 months of the baseline echocardiography. Most patients underwent surgical aortic valve replacement (SAVR) (283/306 [92.4%]), while 4.9% (15/306) and 2.6% (8/306) were treated with aortic valve repair and transcatheter aortic valve replacement (TAVR), respectively. About half of the patients who underwent AVI also had concomitant cardiac or aortic surgery (157/306 [51.3%]), with CABG (52/157 [33.1%]) and aortic surgery (69/157 [43.9%]) being the most common (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Baseline characteristics according to treatment strategies.

Association Between LVEF and Clinical Outcomes

During the median follow-up of 24.4 (23.4–24.9) months, death or HHF occurred in 125 (10.3%) patients (60 deaths, 75 HHF). In P-splines, the relative hazards of death or HHF in overall, medically, and AVI managed patients all presented a monotonic increase with decreasing LVEF (Figure 1). Under MT, the risk began to exceed the mean risk of the entire cohort when LVEF declined to ~55–60%, with a remarkably sharp increase with a continued LVEF decline. AVI considerably alleviated the risk of death or HHF, with the P-spline curve consistently beneath that of MT across the LVEF (Figure 1B). LVEF was the most contributive independent predictor of death or HHF under MT (per 10% increase: adjusted HR: 0.65; 95% CI: 0.53–0.79; P = 0.008) or AVI treatment (per 10% increase: adjusted HR: 0.65; 95% CI: 0.43–0.97; P = 0.036) by LASSO-penalized Cox regression (Supplementary Figures 3–6).

FIGURE 1
www.frontiersin.org

Figure 1. Association between baseline LVEF and relative hazard of 2-year death or HHF. Penalized spline curves demonstrate the shape of the association in overall (A), medically and AVI managed patients (B), with 95% confidence interval. The gray area underneath the curve indicates the density of the population. The horizontal line at HR = 1 represents the mean risk of the cohort. AVI, aortic valve intervention; HHF, hospitalization for heart failure; LVEF, left ventricular ejection fraction.

Based on the maximally selected rank statistics and the P-spline shape, LVEF ≤55% was identified as the most significant threshold for predicting 2-year death or HHF in patients with moderate AR under MT (Supplementary Figure 7), which was higher than the threshold for the age- and sex-matched population without left-sided VHD (LVEF ≤48%, Supplementary Figures 9, 10). After multivariate adjustment, LVEF ≤55% was independently associated with a higher risk of death or HHF under MT (adjusted HR: 2.18; 95% CI: 1.38–3.42; P = 0.001) (Figure 2). The association between LVEF ≤55% and the risk of death or HHF remained consistent in the subgroup analyses (stratified by age, sex, symptoms, CAD, secondary MR, AR etiology, and EuroSCORE-II), with no significant interactions (all P-interaction >0.05) (Supplementary Table 5).

FIGURE 2
www.frontiersin.org

Figure 2. Kaplan-Meier curves of event-free survival under medical treatment according to the selected LVEF threshold. Kaplan-Meier curves of freedom from the composite of death or HHF (A), death (B), and HHF (C) under medical treatment were plotted according to the selected LVEF threshold (≤55 and >55%). AVI, aortic valve intervention; HHF, hospitalization for heart failure; LVEF, left ventricular ejection fraction.

Incremental Prognostic Value of LVEF in Moderate AR

The addition of LVEF to the base model substantially improved the predictive power, either as a continuous variable (IDI=0.019, P = 0.032; NRI=0.219, P = 0.012; LR test P < 0.001) or as a categorical variable dichotomized by 55% (IDI=0.018, P = 0.030; NRI=0.225, P = 0.006; LR test P < 0.001) (Table 3). The superiority of introducing LVEF to the model persisted in the decision curve analysis, with a higher net benefit (Supplementary Figure 8).

TABLE 3
www.frontiersin.org

Table 3. Comparison of risk–prediction models with and without baseline LVEF for the composite of death or HHF under medical treatment.

Impact of Treatment Strategies on Clinical Outcomes According to LVEF

Figure 3A shows the unadjusted relative risk of death or HHF after AVI vs. under MT according to LVEF. Among patients with LVSD (LVEF ≤55%), AVI showed a protective effect against death or HHF compared with MT alone at an LVEF of about 35–55%; however, this effect began to lose statistical significance when LVEF decreased to ~35%.

FIGURE 3
www.frontiersin.org

Figure 3. Impact of AVI on the composite of death or HHF according to baseline LVEF. (A) The unadjusted relative risk of death or HHF after AVI vs. under medical treatment alone according to LVEF, with 95% confidence interval. The shaded area entirely below the horizontal line (HR = 1) denotes the upper bound of the 95% confidence interval is <1, indicating AVI is prognostically more favorable at this LVEF. (B) Kaplan-Meier curves of event-free survival after early AVI (within 6 months) and under medical treatment alone according to the LVEF ranges, with (solid line) and without (dashed line) inverse probability treatment weighting adjustment. AVI, aortic valve intervention; HHF, hospitalization for heart failure; LVEF, left ventricular ejection fraction.

After adjusting for the clinically relevant factors and anti-HF medications using IPTW, early AVI (within 6 months) was strongly associated with a reduced risk of death or HHF in patients with LVEF 35–55% compared with MT (adjusted HR: 0.15; 95% CI: 0.04–0.50; P = 0.002), whereas this prognostic benefit was markedly attenuated when LVEF was ≤35% (adjusted HR: 0.65; 95% CI: 0.21–1.97; P = 0.441), with a significant interaction (P-interaction = 0.010) (Figure 3B). In contrast, patients with LVEF >55% had a low 2-year cumulative incidence of death or HHF, even under MT alone (AVI: 96.6 ± 1.4% vs. MT: 90.6 ± 1.6%), with no significant difference in the risk of death or HHF after multivariate adjustment (adjusted HR: 0.40; 95% CI: 0.14–1.15; P = 0.089). In terms of the individual components of the composite outcome, early AVI was also significantly associated with a lower risk of death (adjusted HR: 0.05; 95% CI: 0.01–0.44; P = 0.006) and HHF (adjusted HR: 0.18; 95% CI: 0.05–0.66; P = 0.010) vs. MT at an LVEF of 35–55%. However, the advantages of early AVI in mortality and HHF were not obvious when LVEF decreased to ≤35% or increased to >55% (all P > 0.05) (Table 4). Moreover, the results of the sensitivity analyses in patients without CAD, aortic disease, secondary MR and concomitant cardiac or aortic surgery were consistent with the overall findings (Table 4).

TABLE 4
www.frontiersin.org

Table 4. Impact of treatment strategies on the primary outcome and its components according to the LVEF ranges and sensitivity analyses.

Temporal Course of Symptom Status Under Different Treatment Strategies

Figure 4 shows the changes in the NYHA functional classification of patients with LVSD (LVEF ≤55%) under MT and early AVI treatment (within 6 months). At 6, 12, and 24 months, 58.3, 60.5, and 63.4% of patients under MT and 81.9, 86.1, and 82.8% of the patients undergoing early AVI had NYHA class I, respectively. At 2 years, among patients under MT and AVI treatment, 35.5 and 65.4% improved by at least one NYHA class compared to the baseline, 14.1 and 6.5% experienced symptom worsening or death, and 42.3 and 22.9% had no change in symptoms (P < 0.001), respectively.

FIGURE 4
www.frontiersin.org

Figure 4. Temporal course of symptom status in patients with moderate AR and LVSD (LVEF ≤55%) under different treatment strategies. The river plots show the changes in New York Heart Association (NYHA) functional classification for patients under medical treatment who at least survived and were followed up for 15 days and for patients undergoing early aortic valve intervention (AVI) within 6 months of the baseline echocardiography.

Discussion

Based on a large multicenter prospective cohort, this study was novel in its exploration of the prognostic value of LVEF in patients with moderate AR under different treatment strategies. Our key findings are as follows: (1) Reduced LVEF is the most contributive independent predictor of death or HHF in patients with moderate AR; (2) LVEF ≤55% was the optimal threshold for predicting poor prognosis under MT, with excellent performance in risk stratification and substantial incremental value; (3) At an LVEF of 35–55%, early AVI within 6 months of diagnosis was associated with a reduced risk of death or HHF vs. MT alone, whereas this prognostic benefit was markedly attenuated when LVEF decreased to ≤35% or increased to >55%. These findings suggest that LVEF, as a routine echocardiographic measure of LV systolic function, is crucial in risk stratification and provides potential implications for treatment decision-making in patients with moderate AR.

Prevalence of Coexistent Moderate AR and LVSD

The coexistence of moderate AR and LVSD may be common in the general population but is underreported. A large population-based study enrolling 79,043 community-dwelling patients demonstrated moderate AR in 1.83% of patients with HF symptoms (4). Moreover, a retrospective epidemiological study showed that 24.4% of hospitalized patients with AR had HF (16). The present nationwide multicenter study, enrolling both inpatients and outpatients, first provided direct evidence that 38.6% of patients with moderate AR had reduced LVEF (≤55%), and 24.1% had NYHA class III/IV HF. Thus, the prevalence of coexistent moderate AR and LVSD should be of sufficient concern, since it is expected to rise with an aging population (13).

Prognostic Impact of Coexistent Moderate AR and LVSD

Moderate AR is generally not considered a serious clinical issue in patients with normal LV systolic function. However, with LVSD, the presence of moderate AR may not be benign. Whether as a direct cause or a comorbid condition of LVSD, significant AR imposes a persistent hemodynamic burden on the failing LV and exacerbates systolic dysfunction (5). Additionally, significant AR also reduces coronary blood flow reserve (5). With LVSD, myocardial oxygen consumption increases due to the activation of compensatory mechanisms (17); however, intracoronary blood flow in patients with moderate AR may be insufficient to meet the increasing demand, thereby inducing subendocardial hypoxia and deteriorating LV function. In our study, when LVEF was >55%, the 2-year risk of death or HHF in patients with moderate AR under MT was relatively low and plateaued, whereas the risk increased sharply once LVEF fell below that level. LVEF ≤55% was the optimal risk-prediction threshold under MT, independently associated with a >2-fold increase in the 2-year risk of death or HHF. This threshold was higher than that for the age- and sex-matched population without left-sided VHD (LVEF ≤48%). Consistently, prior echocardiographic studies showed that in the general population, it is usually when LVEF drops to 45–50% that the risk of cardiovascular events begins to increase dramatically (1820), suggesting the combination of moderate AR may lead to an earlier LV decompensation in patients with LVSD.

Therapeutic Implications for Patients With Moderate AR and LVSD

Despite the common coexistence and poor prognosis of moderate AR and LVSD, the optimal treatment strategy remains unclear. Current AHA/ACC guidelines classify the management of patients with AR according to stages A to D (7). However, patients with moderate AR and LVSD cannot be categorized as stage B (mild/moderate AR with normal LVEF) or C/D (severe AR with normal/reduced LVEF ≤55%). Although recent evidence suggests that patients with moderate aortic stenosis and LVSD can benefit from AVI (9, 10), data on the effectiveness of AVI in patients with moderate AR and LVSD remain scarce.

Theoretically, among patients with LVSD, hemodynamic overload reduction in the form of mechanical relief from significant AR may substantially improve long-term prognosis (8). However, decision-making for AVI should carefully balance the prognostic benefits and risks. Although AVI can normalize the hemodynamics of moderate AR and contribute to systolic function recovery, it also exposes patients to prosthetic valve-related complications, such as anticoagulation-related bleeding, endocarditis, and prosthetic valve failure (21). More importantly, as LVEF decreases, the surgical risks increase correspondingly, whereas the prognostic benefits from AVI gradually diminish as LV remodeling progresses (22). Herein, we observed that among patients with moderate AR and LVSD, AVI was associated with a reduced risk of death or HHF at an LVEF of 35–55% compared with MT alone. The prognostic benefit of AVI was markedly attenuated when LVEF was ≤35%. Although previous studies reported that patients with severe AR and severe LVSD (LVEF ≤35%) could still derive substantial prognostic improvements from AVI with acceptable surgical risk (8), the benefits of surgical correction of moderate AR may not be as significant as that of severe AR and no longer outweigh the associated risks.

Notably, according to the current AHA/ACC guidelines, the decision to intervene in moderate AR depends largely on the need for other concomitant cardiac or aortic surgery (Class IIa, Level C), with the most frequent being CABG and aortic surgery (7). Half of the present cohort receiving AVI underwent concomitant surgery (51.3%). In this scenario, AVI serves mainly as prophylaxis in the treatment of moderate AR to avoid repeat open-heart surgery. This indication remains controversial in 2021 ESC/EACTS guidelines, as previous small single-center data showed that the progression of moderate AR is slow and indolent (6, 23). However, a recent large-sample investigation of the natural history of AR showed that the 10-year incidence of progression to stage C/D AR was 53.4% among patients with moderate AR (median 2.96 [1.2–5.4] years), in contrast to those with trivial/mild AR (11.7%, HR = 4.71) (24). Our findings further extend guideline indications by proposing that in addition to the prophylactic role, surgical correction of moderate AR can also translate to symptoms and outcomes improvements among patients with LVEF 35–55%. Furthermore, the findings remained consistent in patients without concomitant surgery and associated diseases, indicating that the prognostic improvements from AVI in patients with moderate AR and LVSD were independent of the surgical treatment for cardiac or aortic comorbidities.

Study Limitations

First, as a nationwide multicenter study, echocardiographic data were site reported instead of core lab reported. However, to ensure diagnostic accuracy and measurement consistency, a series of quality control measures had been implemented (detailed in Supplementary Methods). All participating centers were instructed to have experienced sonographers perform echocardiography according to the specific guidelines (12). AR severity was graded using an integrative approach and reviewed by senior physicians or surgeons (11). All echocardiographic records were sent to the coordinating center for inspection. Randomly sampled images were gathered from each center and blindly reviewed at the core lab in Fuwai Hospital.

Second, due to the limitation of routine clinical echocardiography, we could not collect detailed AR-specific quantitative data from all centers; therefore, regurgitant volume and regurgitation orifice area were not systematically used to construct prediction models. However, this limitation may not hamper the evaluation of the prognostic value of LVEF in patients with moderate AR. Unlike severe AR, these quantitative parameters in moderate AR were defined within a restricted range. Thus, the prognostic impact attributable to parameter variation may be limited, as evidenced by a large-sample study of patients with stage B AR, wherein none of these AR-specific quantitative parameters were independent prognostic determinants (24). Also, our models achieved satisfactory predictive performance based on the available variables.

Third, SAVR remains the first-line treatment for AR in current practice, accounting for over 90% of the AVI in this cohort. Whether TAVR, as a minimally invasive approach to correct AR, can achieve better clinical outcomes in patients with moderate AR and severe LVSD (LVEF ≤35%) requires prospective evaluations.

Finally, as an observational study, treatments were not randomly assigned. Although we used IPTW to reduce the inherent bias, unmeasured confounding factors may exist. Thus, our findings warrant further evaluation in a randomized setting.

Conclusions

LVEF is an independent and incremental prognostic factor in patients with moderate AR, and LVEF ≤55% is a robust marker of poor prognosis under MT. At an LVEF of 35–55%, surgical correction of moderate AR within 6 months of diagnosis is associated with substantial symptoms and outcomes improvements compared with MT alone. As an easily accessible echocardiographic index, LVEF plays a crucial role in risk stratification and provides potential implications for treatment decision-making in patients with moderate AR.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Institutional Review Boards at the National Center for Cardiovascular Diseases of China. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

YW and RG conceived the study. QZ, HX, BZ, and RZ developed the study design and methodology. YY, ZL, QL, ZZ, WW, ZY, HZ, ZD, BW, JL, and SG were involved in the study implement, data collection, and data audit. QZ, BZ, and YZ conducted statistical analyses, interpreted the results, and edited the initial draft of the manuscript. YW, HX, BZ, YY, and ZL critically revised the manuscript for important intellectual content. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (2017-12M-3-002).

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 conflictof 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.

Acknowledgments

We appreciate all the staff members of data collection, data entry, and monitoring as part of the China-VHD study. We would also like to thank Dr. Hao Wang at the Echo Department of Fuwai Hospital for his great contribution to quality control of echocardiography in the China-VHD study.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcvm.2021.800961/full#supplementary-material

Abbreviations

AR, aortic regurgitation; LVSD, left ventricular systolic dysfunction; LVEF, left ventricular ejection fraction; AVI, aortic valve intervention; MT, medical treatment; HF, heart failure; HHF, hospitalization for heart failure.

References

1. Nkomo VT, Gardin JM, Skelton TN, Gottdiener JS, Scott CG, Enriquez-Sarano M. Burden of valvular heart diseases: a population-based study. Lancet. (2006) 368:1005–11. doi: 10.1016/S0140-6736(06)69208-8

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Singh JP, Evans JC, Levy D, Larson MG, Freed LA, Fuller DL, et al. Prevalence and clinical determinants of mitral, tricuspid, and aortic regurgitation (The Framingham Heart Study). Am J Cardiol. (1999) 83:897–902. doi: 10.1016/S0002-9149(98)01064-9

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Shah AM, Claggett B, Loehr LR, Chang PP, Matsushita K, Kitzman D, et al. Heart failure stages among older adults in the community: the atherosclerosis risk in communities study. Circulation. (2017) 135:224–40. doi: 10.1161/CIRCULATIONAHA.116.023361

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Marciniak A, Glover K, Sharma R. Cohort profile: prevalence of valvular heart disease in community patients with suspected heart failure in UK. BMJ Open. (2017) 7:e012240. doi: 10.1136/bmjopen-2016-012240

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Zipes DP, Libby P, Bonow RO, Mann DL, Tomaselli GF. Braunwald's Heart Disease: A Textbook of Cardiovascular Medicine. Amsterdam: Elsevier Health Sciences (2018).

Google Scholar

6. Vahanian A, Beyersdorf F, Praz F, Milojevic M, Baldus S, Bauersachs J, et al. 2021 ESC/EACTS guidelines for the management of valvular heart disease. Eur J Cardio-thoracic Surg. (2021) 60:727–800. doi: 10.1093/ejcts/ezab389

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Otto CM, Nishimura RA, Bonow RO, Carabello BA, Erwin JP, Gentile F, et al. 2020 ACC/AHA guideline for the management of patients with valvular heart disease. J Am Coll Cardiol. (2021) 77:e25–197. doi: 10.1016/j.jacc.2020.11.018

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Chaliki HP, Mohty D, Avierinos JF, Scott CG, Schaff H V., Tajik AJ, et al. Outcomes after aortic valve replacement in patients with severe aortic regurgitation and markedly reduced left ventricular function. Circulation. (2002) 106:2687–93. doi: 10.1161/01.CIR.0000038498.59829.38

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Samad Z, Vora AN, Dunning A, Schulte PJ, Shaw LK, Al-Enezi F, et al. Aortic valve surgery and survival in patients with moderate or severe aortic stenosis and left ventricular dysfunction. Eur Heart J. (2016) 37:2276–86. doi: 10.1093/eurheartj/ehv701

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Jean G, Van Mieghem NM, Gegenava T, van Gils L, Bernard J, Geleijnse ML, et al. Moderate aortic stenosis in patients with heart failure and reduced ejection fraction. J Am Coll Cardiol. (2021) 77:2796–803. doi: 10.1016/j.jacc.2021.04.014

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Nishimura RA, Otto CM, Bonow RO, Carabello BA, Erwin JP, Guyton RA, et al. 2014 AHA/ACC guideline for the management of patients with valvular heart disease. J Am Coll Cardiol. (2014) 63:57–185. doi: 10.1016/j.jacc.2014.02.536

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Lang RM, Badano LP, Victor MA, Afilalo J, Armstrong A, Ernande L, 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

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Hothorn T, Zeileis A. Generalized maximally selected statistics. Biometrics. (2008) 64:1263–9. doi: 10.1111/j.1541-0420.2008.00995.x

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Tibshirani R. Regression shrinkage and selection via the lasso. J R Stat Soc Ser B. (1996) 58:267–88. doi: 10.1111/j.2517-6161.1996.tb02080.x

CrossRef Full Text | Google Scholar

15. Zhou Z, Rahme E, Abrahamowicz M, Pilote L. Survival bias associated with time-to-treatment initiation in drug effectiveness evaluation: a comparison of methods. Am J Epidemiol. (2005) 162:1016–23. doi: 10.1093/aje/kwi307

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Berry C, Lloyd SM, Wang Y, MacDonald A, Ford I. The changing course of aortic valve disease in Scotland: temporal trends in hospitalizations and mortality and prognostic importance of aortic stenosis. Eur Heart J. (2013) 34:1538–47. doi: 10.1093/eurheartj/ehs339

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Mann DL. Mechanisms and models in heart failure: a combinatorial approach. Circulation. (1999) 100:999–1008. doi: 10.1161/01.CIR.100.9.999

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Solomon SD, Anavekar N, Skali H, McMurray JJV, Swedberg K, Yusuf S, et al. Influence of ejection fraction on cardiovascular outcomes in a broad spectrum of heart failure patients. Circulation. (2005) 112:3738–44. doi: 10.1161/CIRCULATIONAHA.105.561423

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Hobbs FDR, Roalfe AK, Davis RC, Davies MK, Hare R. Prognosis of all-cause heart failure and borderline left ventricular systolic dysfunction: 5 year mortality follow-up of the Echocardiographic Heart of England Screening Study (ECHOES). Eur Heart J. (2007) 28:1128–34. doi: 10.1093/eurheartj/ehm102

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Angaran P, Dorian P, Ha ACT, Thavendiranathan P, Tsang W, Leong-Poi H, et al. Association of left ventricular ejection fraction with mortality and hospitalizations. J Am Soc Echocardiogr. (2020) 33:802–11.e6. doi: 10.1016/j.echo.2019.12.016

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Goldstone AB, Chiu P, Baiocchi M, Lingala B, Patrick WL, Fischbein MP, et al. Mechanical or biologic prostheses for aortic-valve and mitral-valve replacement. N Engl J Med. (2017) 377:1847–57. doi: 10.1056/NEJMoa1613792

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Zhang Z, Yang J, Yu Y, Huang H, Ye W, Yan W, et al. Preoperative ejection fraction determines early recovery of left ventricular end-diastolic dimension after aortic valve replacement for chronic severe aortic regurgitation. J Surg Res. (2015) 196:49–55. doi: 10.1016/j.jss.2015.02.069

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Weisenberg D, Omelchenko A, Shapira Y, Vaturi M, Monakier D, Bental T, et al. Mid-term echocardiographic progression of patients with moderate aortic regurgitation: implications for aortic valve surgery. J Heart Valve Dis. (2013) 22:192–4.

PubMed Abstract | Google Scholar

24. Yang LT, Enriquez-Sarano M, Michelena HI, Nkomo VT, Scott CG, Bailey KR, et al. Predictors of progression in patients with stage B aortic regurgitation. J Am Coll Cardiol. (2019) 74:2480–92. doi: 10.1016/j.jacc.2019.08.1058

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: aortic regurgitation, left ventricular systolic dysfunction, mortality, heart failure, intervention

Citation: Zhao Q, Zhang B, Ye Y, Li Z, Liu Q, Zhao R, Zhao Z, Wang W, Yu Z, Zhang H, Duan Z, Wang B, Lv J, Guo S, Zhao Y, Gao R, Xu H and Wu Y (2022) Prognostic Impact of Left Ventricular Ejection Fraction in Patients With Moderate Aortic Regurgitation: Potential Implications for Treatment Decision-Making. Front. Cardiovasc. Med. 8:800961. doi: 10.3389/fcvm.2021.800961

Received: 24 October 2021; Accepted: 09 December 2021;
Published: 17 January 2022.

Edited by:

Ernesto Greco, Sapienza University of Rome, Italy

Reviewed by:

Efstratios Karagiannidis, Aristotle University of Thessaloniki, Greece
Simon Kraler, University of Zurich, Switzerland

Copyright © 2022 Zhao, Zhang, Ye, Li, Liu, Zhao, Zhao, Wang, Yu, Zhang, Duan, Wang, Lv, Guo, Zhao, Gao, Xu and Wu. 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: Haiyan Xu, xuhaiyan@fuwaihospital.org; Yongjian Wu, wuyongjian@fuwaihospital.org

These authors have contributed equally to this work

Download