Usefulness of Left Atrial Volume as an Independent Predictor of Development of Heart Failure in Patients With Atrial Fibrillation

Echocardiographic Parameters of Left Atrial Structure and Function and Clinical Outcomes at 2 Years in Elderly Patients With Atrial Fibrillation - The ANAFIE Echocardiographic Substudy

BACKGROUND

This prospective ANAFIE Registry substudy investigated the relationship between the echocardiographic parameters of left atrial (LA) structure and function and clinical outcomes at 2 years among atrial fibrillation (AF) patients aged ≥75 years.

METHODS AND RESULTS

Outcomes of 1,474 elderly non-valvular AF (NVAF) patients who underwent transthoracic echocardiography at baseline were analyzed by categories of maximum LA volume index (max. LAVi) and LA emptying fraction (LAEF) total. Baseline mean±standard deviation LAEF total and max. LAVi were 28.2±14.9% and 54.2±25.9 mL/m2, respectively. Proportions of oral anticoagulant (OAC), direct OAC, and warfarin use were 92.7%, 68.7%, and 24.0%, respectively. Patients with LAEF total ≤45.0% (n=1,213) vs. >45.0% (n=224) were at higher risk of cardiovascular events (hazard ratio [HR]: 2.19, P=0.021) and heart failure (HF) hospitalization (HR: 2.25, P=0.045). Risk of all-cause death was higher with max. LAVi >48.0 mL/m2(n=656) vs. ≤48.0 mL/m2(n=621) (HR: 1.69, P=0.048). Subgroups with abnormal LA function and structure had increased incidence of cardiac/cardiovascular events and HF hospitalization. No significant interaction was observed between echocardiographic parameters and OAC type.

CONCLUSIONS

Elderly Japanese patients with NVAF and LAEF total ≤45.0% were at higher risk of cardiovascular events and HF hospitalization, and those with max. LAVi >48.0 mL/m2were at higher risk of all-cause death.

Incremental value of diastolic wall strain in predicting heart failure events in patients with atrial fibrillation

Diastolic wall strain (DWS), an echocardiographic index based on linear elasticity theory, has been identified as a predictor of heart failure (HF) in patients with sinus rhythm. However, its effectiveness in atrial fibrillation (AF) patients remains uncertain. This study aims to assess DWS as a predictor of HF in AF patients with preserved ejection fraction. We analysed a prospective database of AF patients undergoing transthoracic echocardiography. AF patients with reduced left ventricular ejection fraction (< 50%), posterior wall motion abnormality, hypertrophic cardiomyopathy, valvular heart disease, pericardial disease, congenital heart disease, or history of pacemaker/implantable cardioverter-defibrillator implantation or cardiac surgery were excluded. The study followed patients until HF development, death, or last visit. Follow-up for patients who underwent catheter ablation was censored on the date of their procedure. HF was ascertained based on the Framingham criteria. DWS was calculated using a validated formula: DWS = (PWs -PWd)/PWs, where PWs is the posterior wall thickness at end-systole and PWd is the posterior wall thickness at end-diastole. Among 411 study patients (mean age 69.6 years, 66% men), 20 (5%) was underwent catheter ablation and 57 (14%) developed HF during a mean follow-up of 82 months. Cox-proportional hazards demonstrated that low DWS (≤ 0.33) significantly predicted HF events (hazard ratio [HR] 3.28, 95% confidence interval [CI]) 1.81-5.94, P < 0.0001), independent of age (per 10 years; HR 1.99, 95% CI 1.35-2.93, P < 0.001), indexed left ventricular mass (per 10 g/m2; HR 1.16, 95% CI 1.05-1.27, P < 0.01), and indexed left atrial volume (per 10 mL/m2; HR 1.14, 95% CI 1.04-1.24, P < 0.01). Additionally, global log-likelihood ratio chi-square statistics indicated that DWS incrementally predicts HF development beyond age, indexed left ventricular mass, and left atrial volume (P < 0.001).

Association of left atrial enlargement with heart failure events in non-valvular atrial fibrillation patients with preserved left ventricular ejection fraction

Aims

Atrial fibrillation (AF) increases the risk of heart failure (HF); however, little is known regarding the risk stratification for incident HF in AF patients, especially with preserved left ventricular ejection fraction (LVEF).

Methods and results

The Fushimi AF Registry is a community-based prospective survey of AF patients. From the registry, 3002 non-valvular AF patients with preserved LVEF and with the data of antero-posterior left atrial diameter (LAD) at enrolment were investigated. Patients were stratified by LAD (<40, 40-44, 45-49, and ≥50 mm) with backgrounds and HF hospitalization incidences compared between groups. Of 3002 patients [mean age, 73.5 ± 10.7 years; women, 1226 (41%); paroxysmal AF, 1579 (53%); and mean CHA2DS2-VASc score, 3.3 ± 1.7], the mean LAD was 43 ± 8 mm. Patients with larger LAD were older and less often paroxysmal AF, with a higher CHA2DS2-VASc score (all P < 0.001). Heart failure hospitalization occurred in 412 patients during the median follow-up period of 6.0 years. Larger LAD was independently associated with a higher HF hospitalization risk [LAD ≥ 50 mm: hazard ratio (HR), 2.36; 95% confidence interval (CI), 1.75-3.18; LAD 45-49 mm: HR, 1.84; 95% CI, 1.37-2.46; and LAD 40-44 mm: HR, 1.34; 95% CI, 1.01-1.78, compared with LAD < 40 mm) after adjustment by age, sex, AF type, and CHA2DS2-VASc score. These results were also consistent across major subgroups, showing no significant interaction.

Conclusion

Left atrial diameter is significantly associated with the risk of incident HF in AF patients with preserved LVEF, suggesting the utility of LAD regarding HF risk stratification for these patients.

Identification of factors associated with progression of left atrial enlargement in patients with atrial fibrillation

Left atrial (LA) enlargement frequently occurs in atrial fibrillation (AF) patients, and this enlargement is associated with the development of heart failure, thromboembolism, or atrial functional mitral regurgitation (AFMR). AF patients can develop LA enlargement over time, but its progression depends on the individual. So far, the factors that cause progressive LA enlargement in AF patients have thus not been elucidated, so that the aim of this study was to identify the factors associated with the progression of LA enlargement in AF patients. We studied 100 patients with persistent or permanent AF (aged: 67 ± 2 years, 40 females). Echocardiography was performed at baseline and 12 (5-30) months after follow-up. LA size was evaluated as the LA volume index which was calculated with the biplane modified Simpson's method from apical four-and two-chamber views, and then normalized to the body surface area (LAVI). The deterioration of AFMR after follow-up was defined as a deterioration in severity of mitral regurgitation (MR) by a grade of 1 or more. Multivariate regression analysis demonstrated that hypertension (p = .03) was an independently associated parameter of progressive LA enlargement, as was baseline LAVI. In addition, the Kaplan-Meier curve indicated that patients with hypertension tended to show greater deterioration of AFMR after follow-up than those without hypertension (log-rank p = .08). Hypertension proved to be strongly associated with progression of LA enlargement over time in patients with AF. Our findings provide new insights for better management of patients with AF to prevent the development of AFMR.

Machine Learning Risk Prediction for Incident Heart Failure in Patients With Atrial Fibrillation

BACKGROUND

Atrial fibrillation (AF) increases the risk of heart failure (HF); however, little focus is placed on the risk stratification for, and prevention of, incident HF in patients with AF.

OBJECTIVES

This study aimed to construct and validate a machine learning (ML) prediction model for HF hospitalization in patients with AF.

METHODS

The Fushimi AF Registry is a community-based prospective survey of patients with AF in Fushimi-ku, Kyoto, Japan. We divided the data set of the registry into derivation (n = 2,383) and validation (n = 2,011) cohorts. An ML model was built to predict the incidence of HF hospitalization using the derivation cohort, and predictive ability was examined using the validation cohort.

RESULTS

HF hospitalization occurred in 606 patients (14%) during a median follow-up period of 4.4 years in the entire registry. Data of transthoracic echocardiography and biomarkers were frequently nominated as important predictive variables across all 6 ML models. The ML model based on a random forest algorithm using 7 variables (age, history of HF, creatinine clearance, cardiothoracic ratio on x-ray, left ventricular [LV] ejection fraction, LV end-systolic diameter, and LV asynergy) had high prediction performance (area under the receiver operating characteristics curve [AUC]: 0.75) and was significantly superior to the Framingham HF risk model (AUC: 0.67; P < 0.001). Based on Kaplan-Meier curves, the ML model could stratify the risk of HF hospitalization during the follow-up period (log-rank; P < 0.001).

CONCLUSIONS

The ML model revealed important predictors and helped us to stratify the risk of HF, providing opportunities for the prevention of HF in patients with AF.

Prognostic risk factors in patients with refractory heart failure treated with continuous veno-venous hemofiltration

INTRODUCTION

Investigation of the prognostic factors in patients with refractory heart failure (HF) undergoing continuous veno-venous hemofiltration (CVVH).

METHODS

Clinical data of 146 patients with refractory HF between May 2018 and December 2020 were retrospectively analyzed and divided into survival and death groups according to the prognosis. Vital signs, inflammatory markers, and renal function parameters were compared before and after treatment.

RESULTS

Central venous pressure levels were lower, whereas serum levels of brain natriuretic peptide, oxygen saturation, and cardiac output were higher after treatment (P < 0.05). Heart rate, systolic and diastolic blood pressures, serum levels of C-reactive protein, interleukin-6, tumor necrosis factor-α, interleukin-8, blood urea nitrogen, creatinine, and 24-h urinary protein were lower after treatment (P < 0.05).

CONCLUSION

CVVH improved renal function and regulated blood pressure and vital signs in patients with refractory HF. Age, APACHE II score, disease duration, and hypotension were risk factors affecting the prognosis. This article is protected by copyright. All rights reserved.

Impact of Systolic Blood Pressure on Heart Failure Symptoms With Moderate Aortic Stenosis

In patients with moderate aortic stenosis (AS), heart failure (HF) symptoms are often unrelated to the AS severity, and the causes of HF symptoms are often unclear. Hypertension is known as one of the most common comorbidities in degenerative AS. Therefore, we assessed the impact of systolic blood pressure (BP) on HF symptoms in patients with moderate AS. We retrospectively analyzed 317 patients with moderate AS (mean transaortic pressure gradient 20 to 39 mm Hg) and preserved left ventricular ejection fraction (left ventricular ejection fraction ≥50%). We classified patients according to the presence or absence of HF symptoms. One hundred patients (32%) had HF symptoms. Symptomatic patients had higher systolic BP (141±21 versus 129±21 mm Hg; p<0.001) and mean transaortic pressure gradient, and lower aortic valve area than asymptomatic patients. In the multivariable analysis after adjustment for age, atrial fibrillation, Charlson comorbidity index, brain natriuretic peptide, and the use of diuretics, HF symptoms in patients with moderate AS were independently associated with systolic BP (odds ratio, 1.43 per 10 mm Hg increase in systolic BP; 95% confidence interval, 1.14-1.78; p=0.001) and left atrial volume index (odds ratio, 1.04 per 1 mL/m² increase in left atrial volume index; 95% confidence interval, 1.00-1.08; p=0.026). Receiver operating characteristics curve analysis identified systolic BP 133 mm Hg as the cutoff value associated with HF symptoms. In conclusion, systolic BP as well as left atrial volume index were independent correlates of HF symptoms in patients with moderate AS.

Assessment of biatrial function in clinically well pediatric bicaval heart transplantation patients by three-dimensional echocardiography

Atrial size and function are closely correlated with atrial contributions to cardiovascular performance. Therefore, in this study, we aimed to assess atrial size and function in pediatric heart transplantation (HTx) patients using three-dimensional echocardiography (3DE). We enrolled 33 clinically well pediatric HTx patients and 33 healthy controls with a similar distribution of sex and age to the HTx patients. All patients underwent two-dimensional echocardiography (2DE) and 3DE. 2DE- and 3DE-derived biatrial maximal volume (Vmax), minimal volume (Vmin), ejection volume (EV), ejection fraction (EF), volume before atrial contraciton (VpreA), passive EV, passive EF, active EV and active EF were obtained in all patients. The 3D left atrail (LA) Vmax, Vmin and VpreA increased significantly in HTx patients after being indexed by BSA, while 3D LAEV and passive EV decreased significantly (P < 0.05). Moreover, the 3D LAEF, LA passive EF, and LA active EF all decreased significantly in HTx patients (P < 0.05). The 3D right atrial (RA) Vmax, Vmin, and VpreA increased significantly in HTx patients (P < 0.05), while the 3D RAEF and RA passive EF decreased significantly in HTx patients (P < 0.05). 3DE-derived LAVmax, LAVpreA, LA passive EV, LAEF, and LA passive EF were all lower than the corresponding 2D parameters. 3DE-derived RAVpreA, RA passive EV and RAEF were all lower than the corresponding 2D parameters. Atrial sizes and function assessed by 3DE- and 2DE-derived parameters, yield significantly discordant results in pediatric HTx patients. 3DE confirms significantly enlarged atrial sizes and decreased atrial functions in pediatric HTx patients.

Heart Failure in Atrial Fibrillation - An Update on Clinical and Echocardiographic Implications

Atrial fibrillation (AF) is the most common sustained arrhythmia in adults and has unfavorable consequences such as stroke, heart failure (HF), and death. HF is the most common adverse event following AF and the leading cause of death. Therefore, identifying the association between AF and HF is important to establish risk stratification for HF in AF. Recent studies suggested that left atrial and ventricular fibrosis is an important link between AF and HF, and the prognostic impact may differ with respect to HF subtype, stratified with left ventricular ejection fraction (EF). Mortality risk in patients with concurrent AF and HF with reduced EF (HFrEF) appears slightly higher compared with those with concurrent AF and HF with preserved EF (HFpEF). On the other hand, the prognostic impact of HF in AF is similar between HFrEF and HFpEF. Further, left atrial size, as well as left atrial and left ventricular functional assessment, are reported to be useful for the prediction of HF in AF, incremental to the conventional risk factors. In this review, we focus on the epidemiological, pathophysiological, and prognostic associations between AF and HF, and review the clinical and echocardiographic predictors for HF in AF.