Heart Failure With Midrange Ejection Fraction: Prior Left Ventricular Ejection Fraction and Prognosis

ECGEL: a multimodal 12-lead ECG classification model for heart failure prediction

Cardiovascular diseases (CVD) are the leading cause of death worldwide, with heart failure (HF) being one of the most fatal conditions within CVD, greatly impacting patients' quality of life and imposing a heavy socioeconomic burden. Early intervention can significantly reduce HF mortality and hospitalization rates. However, current diagnostic methods are often expensive and complex, leading to delayed detection. To address this issue, this paper proposes a multimodal model, ECGEL, which combines electrocardiogram (ECG) and clinical text data for heart failure prediction. The model first denoises 12-lead ECG signals using LUNet, then converts the ECG signals into spectrograms via fast Fourier transform, extracting ECG features using EfficientNetv2. Simultaneously, clinical text is preprocessed with Bert, and textual features are extracted using BiLSTM. Finally, the ECG and text features are fused for heart failure prediction. Experimental results show that the ECGEL model achieved outstanding performance on a private dataset, with accuracy of 97.9%, recall of 98.3%, and F1 score of 97.6%. This model offers an efficient and accurate solution for the early diagnosis of heart failure, showing significant potential for clinical application.

Heart failure in China: epidemiology and current management

The Annual Report on Cardiovascular Health and Diseases in China (2022) intricate landscape of cardiovascular health in China. In connection with the previous section, this sixth section of the report offers a comprehensive analysis of heart failure (HF) in China. HF is one of the most important cardiovascular disease in the 21st century. Its mortality is equivalent to that of cancer. It is an important public health problem that seriously affects the health of Chinese residents. In recent years, with the deepening of understanding, the change of treatment principles, the innovation of treatment methods and the update of treatment guidelines, the in-hospital mortality of HF patients has declined, and the long-term prognosis is also improving. However, there are still differences in the management level of HF among different hospitals in China. How to improve the standardized diagnosis and treatment level of HF in China remains an important challenge.

Prognostic impact of prior LVEF in patients with heart failure with mildly reduced ejection fraction

AIMS

As there is limited evidence regarding the prognostic impact of prior left ventricular ejection fraction (LVEF) in patients with heart failure with mildly reduced ejection fraction (HFmrEF), this study investigates the prognostic impact of longitudinal changes in LVEF in patients with HFmrEF.

METHODS

Consecutive patients with HFmrEF (i.e. LVEF 41-49% with signs and/or symptoms of HF) were included retrospectively in a monocentric registry from 2016 to 2022. Based on prior LVEF, patients were categorized into three groups: stable LVEF, improved LVEF, and deteriorated LVEF. The primary endpoint was 30-months all-cause mortality (median follow-up). Secondary endpoints included in-hospital and 12-months all-cause mortality, as well as HF-related rehospitalization at 12 and 30 months. Kaplan-Meier and multivariable Cox proportional regression analyses were applied for statistics.

RESULTS

Six hundred eighty-nine patients with HFmrEF were included. Compared to their prior LVEF, 24%, 12%, and 64% had stable, improved, and deteriorated LVEF, respectively. None of the three LVEF groups was associated with all-cause mortality at 12 (p ≥ 0.583) and 30 months (31% vs. 37% vs. 34%; log rank p ≥ 0.376). In addition, similar rates of 12- (p ≥ 0.533) and 30-months HF-related rehospitalization (21% vs. 23% vs. 21%; log rank p ≥ 0.749) were observed. These findings were confirmed in multivariable regression analyses in the entire study cohort.

CONCLUSION

The transition from HFrEF and HFpEF towards HFmrEF is very common. However, prior LVEF was not associated with prognosis, likely due to the persistently high dynamic nature of LVEF in the follow-up period.

Prognostic value of left atrial reverse remodelling in heart failure with preserved ejection fraction

OBJECTIVES

Left atrial reverse remodelling (LARR) reflects an improvement in the function or structure. However, it is unclear whether the presence of LARR is associated with better outcomes in patients with heart failure with preserved ejection fraction (HFpEF).

METHODS

The study was a monocentric retrospective cohort one. Consecutive HFpEF patients admitted to the hospital between 1 January 2018 and 30 June 2020 were included. This cohort was divided into LARR and non-LARR groups based on the recovery of the left atrium. The primary endpoints were all-cause mortality, rehospitalization for heart failure, and the composite of death or readmission. Significant predictors of LARR were examined.

RESULTS

A total of 409 patients were enrolled, including 90 cases in the LARR group and 319 in the non-LARR group. Kaplan-Meier analysis showed that compared with the non-LARR group, the LARR group had a lower incidence of rehospitalization for heart failure and the composite of death or readmission but not all-cause mortality. Similar results were observed in a subgroup analysis of patients with and without atrial fibrillation. Cox regression analysis demonstrated that the non-LARR group experienced higher risks of heart failure-related readmission [hazard ratio: 1.785, 95% confidence interval (CI) 1.236-3.215, P  = 0.037] and the composite outcome (hazard ratio: 1.684, 95% CI 1.254-2.865, P  = 0.044), but not all-cause mortality (hazard ratio: 1.475, 95% CI: 0.481-3.527, P  = 0.577) compared with the LARR group after adjusting for significant confounders. Logistic regression analysis showed that mild mitral regurgitation and the use of loop diuretics were two positive predictors of LARR in patients with HFpEF.

CONCLUSION

LARR is an effective echocardiographic index that can be used to predict heart failure-related readmission in HFpEF. Therefore, regular assessment of left atrial size can provide a useful marker for risk stratification of heart failure.

Efficacy of guideline-directed medical treatment in heart failure with mildly reduced ejection fraction

AIMS

Heart failure with mildly reduced ejection fraction (HFmrEF) has received increasing attention following the publication of the latest ESC guidelines in 2021. However, it remains unclear whether patients with HFmrEF could benefit from guideline-directed medical treatment (GDMT), referring the combination of ACEI/ARB/ARNI, β-blockers, and MRAs, which are recommended for those with reduced ejection fraction. This study explored the efficacy of GDMT in HFmrEF patients.

METHODS

This was a retrospective cohort study of HFmrEF patients admitted to The First Affiliated Hospital of Dalian Medical University between 1 September 2015 and 30 November 2019. Propensity score matching (1:2) between patients receiving triple-drug therapy (TT) and non-triple therapy (NTT) based on age and sex was performed. The primary outcome was all cause death, cardiac death, rehospitalization from any cause, and rehospitalization due to worsening heart failure.

RESULTS

Of the 906 patients enrolled in the matched cohort (TT group, n = 302; NTT group, N = 604), 653 (72.08%) were male, and mean age was 61.1 ± 11.92. Survival analysis suggested that TT group experienced a significantly lower incidence of prespecified primary endpoints than NTT group. Multivariable Cox regression showed that TT group had a lower risk of all-cause mortality (HR 0.656, 95% CI 0.447-0.961, P = 0.030), cardiac death (HR 0.599, 95% CI 0.380-0.946, P = 0.028), any-cause rehospitalization (HR 0.687, 95% CI 0.541-0.872, P = 0.002), and heart failure rehospitalization (HR 0.732, 95% CI 0.565-0.948, P = 0.018).

CONCLUSIONS

In patients with HFmrEF, combined use of neurohormonal antagonists produces remarkable effects in reducing the occurrence of the primary outcome of rehospitalization and death. Thus, the treatment of HFmrEF should be categorized as HFrEF due to the similar benefit of neurohormonal blocking therapy in HFrEF and HFmrEF.

Reverse Atrial Remodeling in Heart Failure With Recovered Ejection Fraction

Background Heart failure with recovered ejection fraction (HFrecEF) has been a newly recognized entity since 2020. However, the concept has primarily focused on left ventricular ejection fraction improvement, with less focus on the recovery of the left atrium. In this study, we investigated changes in left atrial (LA) echocardiographic indices in HFrecEF. Methods and Results An inpatient cohort with heart failure with reduced ejection fraction (HFrEF) was identified retrospectively and followed up prospectively in a single tertiary hospital. The enrolled patients were classified into HFrecEF and persistent HFrEF groups. Alternations in LA parameters by echocardiography were calculated. The primary outcome was a composite of cardiovascular death or heart failure rehospitalization. A total of 699 patients were included (HFrecEF: n=228; persistent HFrEF: n=471). Compared with persistent HFrEF, the HFrecEF group had greater reductions in LA diameter, LA transverse diameter, LA superior-inferior diameter, LA volume, and LA volume index but not in LA sphericity index. Cox regression analysis showed that the HFrecEF group experienced lower risks of prespecified end points than the persistent HFrEF group after adjusting for confounders. Additionally, 136 (59.6%) and 62 (13.0%) patients showed LA reverse remodeling (LARR) for the HFrecEF and persistent HFrEF groups, respectively. Among the HFrecEF subgroup, patients with LARR had better prognosis compared with those without LARR. Multivariate logistic analysis demonstrated that age and coronary heart disease were 2 independent negative predictors for LARR. Conclusions In HFrecEF, both left ventricular systolic function and LA structure remodeling were improved. Patients with HFrecEF with LARR had improved clinical outcomes, indicating that the evaluation of LA size provides a useful biomarker for risk stratification of heart failure.

Clinical outcomes and structural remodelling after ablation of atrial fibrillation in heart failure with mildly reduced or mid-range ejection fraction

AIMS

The efficacy of catheter ablation (CA) on clinical outcomes and cardiac structural remodelling in atrial fibrillation (AF) patients with HF with mildly reduced or mid-range ejection fraction (HFmrEF) remains unclear. We aimed to compare the efficacy of CA with medical therapy (MT) in AF patients with HFmrEF.

METHODS AND RESULTS

We retrospectively screened a total of 36 879 patients with AF between 2005 and 2020. Patients who were initially diagnosed with echocardiography-proved HFmrEF and had follow-up echocardiography were enrolled. After applying propensity score matching in a 1:1 ratio, 72 patients treated by CA (Group 1) and 72 patients receiving MT (Group 2) were taken into further analysis. The co-morbidities were similar between the two groups, except for hyperlipidaemia. After a mean follow-up duration of 58.9 ± 42.6 months, Group 1 had a lower HF hospitalization and all-cause mortality compared with Group 2 (hazard ratio (HR), 0.089 [95% confidence interval (CI), 0.011-0.747]; P = 0.026 and HR, 0.121 [95% CI, 0.016-0.894]; P = 0.038, respectively). As for cardiac structural remodelling, the Group 1 had a better improvement in left ventricular ejection fraction (LVEF) and a more decreased left atrium (LA) diameter than Group 2 (+25.0% ± 18.0% vs. +6.2% ± 21.6%, P = <0.0001 and -1.6 ± 4.7 mm vs. +1.5 ± 8.2 mm, P = 0.008, respectively).

CONCLUSIONS

In patients with HFmrEF and AF, CA of AF could reduce both HF hospitalization and all-cause mortality as compared with those with MT. A significant improvement in LVEF and decrease in LA diameter were also observed in the CA group. Early rhythm control with CA should be taken into consideration in patients with HFmrEF and AF.

Surgical treatment of patients with aortic valve disease complicated with moderate functional mitral regurgitation and heart failure with midrange ejection fraction: a cohort study

Background

Controversies exist on the treatment of moderate functional mitral regurgitation (FMR) in patients with severe aortic valve disease undergoing the aortic valve replacement (AVR). While a substantial proportion of these patients can be complicated with heart failure with midrange ejection fraction (HFmrEF), established studies show that the latter might compromise the patient outcome. This study was aimed to evaluate the prognostic value of concomitant mitral valve surgery during AVR in patients with severe aortic valve disease followed by moderate FMR and HFmrEF.

Methods

A total of 78 consecutive patients were retrospectively recruited. Patients were divided into control (isolated AVR) and treatment (AVR + mitral valve surgery) groups. Follow-up outcomes were compared by Kaplan-Meier method, followed by multiple adjustment with inverse probability treatment weighting (IPTW) analysis. The primary outcome was the occurrence of major adverse cardiovascular and cerebrovascular events (MACCE).

Results

Thirty-six patients received isolated AVR, while 42 received AVR with mitral valve repair or replacement. The median follow-up time was 28.7 months. Unadjusted analysis showed that there was no significant difference in the rate of MACCE between the two groups [hazard ratio (HR): 1.14, 95% confidence interval (CI): 0.48-2.69, P_logrank=0.770], which was sustained in IPTW analysis (HR: 1.64, 95% CI: 0.59-4.55, P_logrank=0.342). In addition, while concomitant mitral valve surgery improved follow-up FMR more completely (P=0.026) in the IPTW analysis, the ejection fraction was comparable between the two groups (P=0.276). Furthermore, IPTW analysis also showed that mitral valve surgery was associated with the increased risk of postoperative acute kidney injury (P=0.007).

Conclusions

In patients with aortic valve disease followed by moderate FMR and HFmrEF, mitral valve surgery concomitant to AVR may not bring extra benefit in the MACCE-free survival and the improvement of HFmrEF. However, while concomitant mitral valve surgery has priority on the complete improvement of FMR, it might increase the risk of postoperative acute kidney injury.

A multimodal parallel method for left ventricular dysfunction identification based on phonocardiogram and electrocardiogram signals synchronous analysis

Heart failure (HF) is widely acknowledged as the terminal stage of cardiac disease and represents a global clinical and public health problem. Left ventricular ejection fraction (LVEF) measured by echocardiography is an important indicator of HF diagnosis and treatment. Early identification of LVEF reduction and early treatment is of great significance to improve LVEF and the prognosis of HF. This research aims to introduce a new method for left ventricular dysfunction (LVD) identification based on phonocardiogram (ECG) and electrocardiogram (PCG) signals synchronous analysis. In the present study, we established a database called Synchronized ECG and PCG Database for Patients with Left Ventricular Dysfunction (SEP-LVDb) consisting of 1046 synchronous ECG and PCG recordings from patients with reduced (n = 107) and normal (n = 699) LVEF. 173 and 873 recordings were available from the reduced and normal LVEF group, respectively. Then, we proposed a parallel multimodal method for LVD identification based on synchronous analysis of PCG and ECG signals. Two-layer bidirectional gate recurrent unit (Bi-GRU) was used to extract features in the time domain, and the data were classified using residual network 18 (ResNet-18). This research confirmed that fused ECG and PCG signals yielded better performance than ECG or PCG signals alone, with an accuracy of 93.27%, precision of 93.34%, recall of 93.27%, and F1-score of 93.27%. Verification of the model's performance with an independent dataset achieved an accuracy of 80.00%, precision of 79.38%, recall of 80.00% and F1-score of 78.67%. The Bi-GRU model outperformed Bi-directional long short-term memory (Bi-LSTM) and recurrent neural network (RNN) models with a best selection frame length of 3.2 s. The Saliency Maps showed that SEP-LVDPN could effectively learn features from the data.

The Value of IGF-1 and IGFBP-1 in Patients With Heart Failure With Reduced, Mid-range, and Preserved Ejection Fraction

BACKGROUND

Previous studies have reported inconsistent results regarding the implications of deranged insulin-like growth factor 1 (IGF-1)/insulin-like growth factor-binding protein 1 (IGFBP-1) axis in patients with heart failure (HF). This study evaluates the roles of IGF1/IGFBP-1 axis in patients with HF with reduced ejection fraction (HFrEF), mid-range ejection fraction (HFmrEF), or preserved ejection fraction (HFpEF).

METHODS

Consecutive patients with HFrEF, HFmrEF, and HFpEF who underwent comprehensive cardiac assessment were included. The primary endpoint was the composite endpoint of all-cause death and HF rehospitalization at one year.

RESULTS

A total of 151 patients with HF (HFrEF: n = 51; HFmrEF: n = 30; HFpEF: n = 70) and 50 control subjects were included. The concentrations of IGFBP-1 (p < 0.001) and IGFBP-1/IGF-1 ratio (p < 0.001) were significantly lower in patients with HF compared to controls and can readily distinguish patients with and without HF (IGFBP-1: areas under the curve (AUC): 0.725, p < 0.001; IGFBP-1/IGF-1 ratio: AUC:0.755, p < 0.001; respectively). The concentrations of IGF-1, IGFBP-1, and IGFBP-1/IGF-1 ratio were similar among HFpEF, HFmrEF, and HFrEF patients. IGFBP-1 and IGFBP-1/IGF-1 ratio positively correlated with N-terminal probrain natriuretic peptide (NT-proBNP) levels (r = 0.255, p = 0.002; r = 0.224, p = 0.007, respectively). IGF-1, IGFBP-1, and IGFBP-1/IGF-1 ratio did not predict the primary endpoint at 1 year for the whole patients with HF and HF subtypes on both univariable and multivariable Cox regression.

CONCLUSION

The concentrations of plasma IGFBP-1 and IGFBP-1/IGF-1 ratio can distinguish patients with and without HF. In HF, IGFBP-1 and IGFBP-1/IGF-1 ratio positively correlated with NT-proBNP levels.

Predictive Value of HFA-PEFF Score in Patients With Heart Failure With Preserved Ejection Fraction

Aims: HFA-PEFF score has been proposed for diagnosing heart failure with preserved ejection fraction (HFpEF). Currently, there are only a limited number of tools for predicting the prognosis. In this study, we evaluated whether the HFA-PEFF score can predict mortality in patients with HFpEF.

Methods: This single-center, retrospective observational study enrolled patients diagnosed with HFpEF at the First Affiliated Hospital of Dalian Medical University between January 1, 2015, and April 30, 2018. The subjects were divided according to their HFA-PEFF score into low (0–2 points), intermediate (3–4 points), and high (5–6 points) score groups. The primary outcome was all-cause mortality.

Results: A total of 358 patients (mean age: 70.21 ± 8.64 years, 58.1% female) were included. Of these, 63 (17.6%), 156 (43.6%), and 139 (38.8%) were classified into the low, intermediate, and high score groups, respectively. Over a mean follow-up of 26.9 months, 46 patients (12.8%) died. The percentage of patients who died in the low, intermediate, and high score groups were 1 (1.6%), 18 (11.5%), and 27 (19.4%), respectively. A multivariate Cox regression identified HFA-PEFF score as an independent predictor of all-cause mortality [hazard ratio (HR):1.314, 95% CI: 1.013–1.705, P = 0.039]. A Cox analysis demonstrated a significantly higher rate of mortality in the intermediate (HR: 4.912, 95% CI 1.154–20.907, P = 0.031) and high score groups (HR: 5.291, 95% CI: 1.239–22.593, P = 0.024) than the low score group. A receiver operating characteristic (ROC) analysis indicated that the HFA-PEFF score can effectively predict all-cause mortality after adjusting for age and New York Heart Association (NYHA) class [area under the curve (AUC) 0.726, 95% CI 0.651–0.800, P = 0.000]. With an HFA-PEFF score cut-off value of 3.5, the sensitivity and specificity were 78.3 and 54.8%, respectively. The AUC on ROC analysis for the biomarker component of the score was similar to that of the total score.

Conclusions: The HFA-PEFF score can be used both to diagnose HFpEF and predict the prognosis. The higher scores are associated with higher all-cause mortality.