Significance of the echocardiographic evaluation of left atrial myocardial strain for early diagnosis of heart failure with preserved ejection fraction

Kardiologiia ◽  
2021 ◽  
Vol 61 (8) ◽  
pp. 68-75
Author(s):  
E. K. Serezhina ◽  
A. G. Obrezan
Keyword(s):  
Heart Failure ◽  
Early Diagnosis ◽  
Ejection Fraction ◽  
Left Atrial ◽  
Myocardial Dysfunction ◽  
Systolic Dysfunction ◽  
Myocardial Strain ◽  
Left Ventricular ◽  
Preserved Ejection Fraction ◽  
Echocardiographic Evaluation

This systematic review is based on 19 studies from Elsevier, PubMed, Embase, and Scopus databases, which were found by the following keywords: LA strain (left atrial strain), STE (speckle tracking echocardiography), HF (heart failure), and HFpEF (heart failure with preserved ejection fraction). The review focuses on results and conclusions of studies on using the 2D echocardiographic evaluation of left atrial (LA) myocardial strain for early diagnosis of HFpEF in routine clinical practice. Analysis of the studies included into this review showed a significant decline of all LA functions in patients with HFpEF. Also, multiple studies have reported associations between decreased indexes of LA strain and old age, atrial fibrillation, left ventricular hypertrophy, left and right ventricular systolic dysfunction, and LV diastolic dysfunction. Thus, the review indicates significant possibilities of using indexes of LA strain in evaluation of early stages of both systolic and diastolic myocardial dysfunction. Notably, LA functional systolic and diastolic indexes are not sufficiently studied despite their growing significance for diagnosis and prognosis of patients with HFpEF. For this reason, in addition to existing models for risk stratification in this disease, including clinical characteristics and/or echocardiographic data, future studies should focus on these parameters. 

scholarly journals Central and obstructive apneas prevalence in heart failure with reduced, mid-range and preserved ejection fraction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Borrelli ◽  
P Sciarrone ◽  
F Gentile ◽  
N Ghionzoli ◽  
G Mirizzi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Left Ventricular Systolic Dysfunction ◽  
Systolic Function ◽  
Systolic Dysfunction ◽  
Cardiopulmonary Exercise Testing ◽  
Left Ventricular ◽  
Apnea Hypopnea Index ◽  
Preserved Ejection Fraction ◽  
2D Echocardiography

Abstract Background Central apneas (CA) and obstructive apneas (OA) are highly prevalent in heart failure (HF) both with reduced and preserved systolic function. However, a comprehensive evaluation of apnea prevalence across HF according to ejection fraction (i.e HF with patients with reduced, mid-range and preserved ejection fraction- HFrEf, HFmrEF and HFpEF, respectively) throughout the 24 hours has never been done before. Materials and methods 700 HF patients were prospectively enrolled and then divided according to left ventricular EF (408 HFrEF, 117 HFmrEF, 175 HFpEF). All patients underwent a thorough evaluation including: 2D echocardiography; 24-h Holter-ECG monitoring; cardiopulmonary exercise testing; neuro-hormonal assessment and 24-h cardiorespiratory monitoring. Results In the whole population, prevalence of normal breathing (NB), CA and OA at daytime was 40%, 51%, and 9%, respectively, while at nighttime 15%, 55%, and 30%, respectively. When stratified according to left ventricular EF, CA prevalence decreased from HFrEF to HFmrEF and HFpEF: (daytime CA: 57% vs. 43% vs. 42%, respectively, p=0.001; nighttime CA: 66% vs. 48% vs. 34%, respectively, p<0.0001), while OA prevalence increased (daytime OA: 5% vs. 8% vs. 18%, respectively, p<0.0001; nighttime OA: 20 vs. 29 vs. 53%, respectively, p<0.0001). When assessing moderte-severe apneas, defined with an apnea/hypopnea index >15 events/hour, prevalence of CA was again higher in HFrEF than HFmrEF and HFpEF both at daytime (daytime moderate-severe CA: 28% vs. 19% and 23%, respectively, p<0.05) and at nighttime (nighttime moderate-severe CA: 50% vs. 39% and 28%, respectively, p<0.05). Conversely, moderate-severe OA decreased from HFrEF to HFmrEF to HFpEF both at daytime (daytime moderate-severe OA: 1% vs. 3% and 8%, respectively, p<0.05) and nighttime (noghttime moderate-severe OA: 10% vs. 11% and 30%, respectively, p<0.05). Conclusions Daytime and nighttime apneas, both central and obstructive in nature, are highly prevalent in HF regardless of EF. Across the whole spectrum of HF, CA prevalence increases and OA decreases as left ventricular systolic dysfunction progresses, both during daytime and nighttime. Funding Acknowledgement Type of funding source: None

scholarly journals Left ventricular longitudinal systolic dysfunction is associated with right atrial dyssynchrony in heart failure with preserved ejection fraction

2016 ◽  
Vol 35 (4) ◽  
pp. 207-214 ◽  
Author(s):  
Ibadete Bytyçi ◽  
Edmond Haliti ◽  
Gëzim Berisha ◽  
Arbërie Tishukaj ◽  
Faik Shatri ◽  
...  
Keyword(s):  
Heart Failure ◽  
Ejection Fraction ◽  
Systolic Dysfunction ◽  
Left Ventricular ◽  
Right Atrial ◽  
Preserved Ejection Fraction

scholarly journals Transitioning from Preclinical to Clinical Heart Failure with Preserved Ejection Fraction: A Mechanistic Approach

2020 ◽  
Vol 9 (4) ◽  
pp. 1110 ◽  
Author(s):  
Antoni Bayes-Genis ◽  
Felipe Bisbal ◽  
Julio Núñez ◽  
Enrique Santas ◽  
Josep Lupón ◽  
...  
Keyword(s):  
Heart Failure ◽  
Pulmonary Hypertension ◽  
Ejection Fraction ◽  
Right Ventricular ◽  
Left Atrial ◽  
Interstitial Fibrosis ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Preserved Ejection Fraction ◽  
Ventricular Ejection Fraction

To better understand heart failure with preserved ejection fraction (HFpEF), we need to better characterize the transition from asymptomatic pre-HFpEF to symptomatic HFpEF. The current emphasis on left ventricular diastolic dysfunction must be redirected to microvascular inflammation and endothelial dysfunction that leads to cardiomyocyte remodeling and enhanced interstitial collagen deposition. A pre-HFpEF patient lacks signs or symptoms of heart failure (HF), has preserved left ventricular ejection fraction (LVEF) with incipient structural changes similar to HFpEF, and possesses elevated biomarkers of cardiac dysfunction. The transition from pre-HFpEF to symptomatic HFpEF also involves left atrial failure, pulmonary hypertension and right ventricular dysfunction, and renal failure. This review focuses on the non-left ventricular mechanisms in this transition, involving the atria, right heart cavities, kidneys, and ultimately the currently accepted driver—systemic inflammation. Impaired atrial function may decrease ventricular hemodynamics and significantly increase left atrial and pulmonary pressure, leading to HF symptoms, irrespective of left ventricle (LV) systolic function. Pulmonary hypertension and low right-ventricular function are associated with the incidence of HF. Interstitial fibrosis in the heart, large arteries, and kidneys is key to the pathophysiology of the cardiorenal syndrome continuum. By understanding each of these processes, we may be able to halt disease progression and eventually extend the time a patient remains in the asymptomatic pre-HFpEF stage.

Detection of Left Atrial Myopathy Using Artificial Intelligence–Enabled Electrocardiography

2021 ◽  
Author(s):  
Frederik H. Verbrugge ◽  
Yogesh N.V. Reddy ◽  
Zachi I. Attia ◽  
Paul A. Friedman ◽  
Peter A. Noseworthy ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Heart Failure ◽  
Ejection Fraction ◽  
Left Atrial ◽  
Left Ventricular ◽  
Hazard Ratio ◽  
Preserved Ejection Fraction ◽  
Ecg Analysis ◽  
Patients With Heart Failure

Background: Left atrial (LA) myopathy is common in patients with heart failure and preserved ejection fraction and leads to the development of atrial fibrillation (AF). We investigated whether the likelihood of LA remodeling, LA dysfunction, altered hemodynamics, and risk for incident AF could be identified from a single 12-lead ECG using a novel artificial intelligence (AI)-enabled ECG analysis. Methods: Patients with heart failure and preserved ejection fraction (n=613) underwent AI-enabled ECG analysis, echocardiography, and cardiac catheterization. Individuals were grouped by AI-enabled ECG probability of contemporaneous AF, taken as an indicator of underlying LA myopathy. Results: Structural heart disease was more severe in patients with higher AI-probability of AF, with more left ventricular hypertrophy, larger LA volumes, and lower LA reservoir and booster strain. Cardiac filling pressures and pulmonary artery pressures were higher in patients with higher AI-probability, while cardiac output reserve was more impaired during exercise. Among patients with sinus rhythm and no prior AF, each 10% increase in AI-probability was associated with a 31% greater risk of developing new-onset AF (hazard ratio, 1.31 [95% CI, 1.20–1.42]; P <0.001). In the population as a whole, each 10% increase in AI-probability was associated with a 12% greater risk of death (hazard ratio, 1.12 [95% CI, 1.08–1.17]; P <0.001) during long-term follow-up, which was no longer significant after adjustments for baseline characteristics. Conclusions: A novel AI-enabled score derived from a single 12-lead ECG identifies the presence of underlying LA myopathy in patients with heart failure and preserved ejection fraction as evidenced by structural, functional, and hemodynamic abnormalities, as well as long-term risk for incident AF. Further research is required to determine the role of the AI-enabled ECG in the evaluation and care of patients with heart failure and preserved ejection fraction.

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