Incidence, predictors and mortality risk of new heart failure in patients hospitalised with atrial fibrillation

Long-term outcomes after hospitalization for atrial fibrillation or flutter

BACKGROUND AND AIMS

Atrial fibrillation (AF) and flutter are common causes of hospitalizations but contemporary long-term outcomes following these episodes are uncertain. This study assessed outcomes up to 10 years after an acute AF or flutter hospitalization.

METHODS

Patients hospitalized acutely with a primary diagnosis of AF or flutter from 2008-17 from all public and most private hospitals in Australia and New Zealand were included. Kaplan-Meier methods and flexible parametric survival modelling were used to estimate survival and loss in life expectancy, respectively. Competing risk model accounting for death was used when estimating incidence of non-fatal outcomes.

RESULTS

A total of 260 492 adults (mean age 70.5 ± 14.4 years, 49.6% female) were followed up for 1 068 009 person-years (PY), during which 69 167 died (incidence rate 6.5/100 PY) with 91.2% survival at 1 year, 72.7% at 5 years, and 55.2% at 10 years. Estimated loss in life expectancy was 2.6 years, or 16.8% of expected life expectancy. Re-hospitalizations for heart failure (2.9/100 PY), stroke (1.7/100 PY), and myocardial infarction (1.1/100 PY) were common with respective cumulative incidences of 16.8%, 11.0%, and 7.1% by 10 years. Re-hospitalization for AF or flutter occurred in 21.3% by 1 year, 35.3% by 5 years, and 41.2% by 10 years (11.6/100 PY). The cumulative incidence of patients undergoing catheter ablation of AF was 6.5% at 10 years (1.2/100 PY).

CONCLUSIONS

Patients hospitalized for AF or flutter had high death rates with an average 2.6-year loss in life expectancy. Moreover, re-hospitalizations for AF or flutter and related outcomes such as heart failure and stroke were common with catheter ablation used infrequently for treatment, which warrant further actions.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

[Effect of dapagliflozin on the dynamics of magnetic resonance imaging in patients with heart failure and atrial fibrillation]

AIM

To determine the effect of dapagliflozin therapy on myocardial remodeling and fibrosis according to magnetic resonance imaging (MRI) with contrast in patients with chronic heart failure (CHF) and atrial fibrillation (AF).

MATERIALS AND METHODS

In the group of 22 patients with a combination of CHF and AF we analyzed the dynamics of remodeling parameters and assessed myocardial fibrosis during 6-month therapy with dapagliflozin according to cardiac MRI with contrast.

RESULTS

  After 6 months of dapagliflozin therapy there was a statistically significant increase in LVEF (27 [23-32]-32 [26.5-36.5] p-0.04) and a tendency to decrease volume and linear dimensions of LV, LP. There was no progression of myocardial fibrosis according to the results of cardiac MRI with contrast in patients with HFrFV and AF.

CONCLUSIONS

Dapagliflozin therapy in patients with HFrEF and AF led to favorable myocardial remodeling changes.

[Clinical features of asthenic disorders in chronic heart failure]

OBJECTIVE

The aim of the study is to study the clinical features of asthenic disorders in chronic heart failure (CHF) considering the reaction to the disease.

MATERIAL AND METHODS

62 inpatients with CHF II-IV functional class (FC) according to NYHA were examined. Research methods included somatic, psychopathological and pathopsychological examination using psychometric scales.

RESULTS

According to a pathopsychological study using the Multidimensional Fatigue Inventory (MFI-20), asthenic disorders were discovered in all examined patients, realized mainly by «general fatigue» (75.8%) and «physical fatigue» (72.6%), more rarely «mental fatigue» was observed (32.2%). Correlations of «general fatigue» with the age of patients were revealed (p=0.018). There was a relationship between the severity of asthenic disorders and the severity of CHF, as evidenced by the correlation between «general fatigue» and reduced ejection fraction (EF) of the left ventricle (p=0.005), as well as «physical fatigue» and FC according to NYHA (p=0.022). The negative impact of all components of the dimensions of asthenic disorders on the quality of life was determined (p<0.05). According to the concept of the formation of different perceptions of the manifestations of a somatic disease, two types of reactions to asthenic disorders were identified: 1. Dissociative reactions, manifested by a discrepancy between the severity of CHF and a subjective assessment of the condition with an underestimation of the asthenic symptoms denial of its influence on the usual lifestyle and associated with an unfavorable course of CHF and 2. Adaptive reactions, realized by a harmonious perception of asthenia, awareness of the need to change lifestyle considering the presence of CHF symptoms.

CONCLUSION

In accordance with the results, the described clinical features of asthenic disorders allow to distinguish asthenia in CHF and other pathology, and the identified types of reactions can contribute to the timely verification of asthenia, prevention of further progression of CHF, and the development of appropriate treatment approaches.

Emergent readmission and long-term mortality risk after incident atrial fibrillation hospitalisation

OBJECTIVE

To assess the frequency and predictors of unplanned readmissions after hospitalisation for incident atrial fibrillation (AF) and the association of readmissions with mortality over 2 years.

METHODS

We performed a retrospective cohort study using Western Australian morbidity and mortality data to identify all patients, aged 25-94 years, who survived incident (first-ever) hospitalisation for AF (principal diagnosis), between 2001 and 2015. Ordinal logistic models determined the covariates independently associated with unplanned readmission(s), and Cox proportional hazards models with time-varying exposures determined the hazard ratios (HR) of one or more readmissions for mortality over 2 years after incident AF.

RESULTS

Of 22 956 patients, 57.7% male, mean age 67.9 (SD 13.8) years, 44.0% experienced 22 053 unplanned readmissions within 2 years, 50.6% being cardiovascular-related. All-cause death occurred in 8.0% of the cohort, and the multivariable-adjusted mortality HR of 1 (vs 0) readmission was 2.9 (95% CI 2.6 to 3.3), increasing to 5.6 (95% CI 5.0 to 6.5) for 3+ readmissions. First emergent readmission for AF, stroke, heart failure or myocardial infarction was independently associated with an increased hazard for mortality. Coexistent cardiovascular and other comorbidities were independently associated with increased readmission and mortality risk, whereas AF ablation was associated with reduced risk.

CONCLUSION

This study highlights the large burden of unplanned all-cause and cardiovascular-specific readmissions within 2 years after being hospitalised for incident AF and their associated adverse impact on mortality. Concomitant comorbidities are independently associated with unplanned hospitalisations and mortality, which supports integrated multidisciplinary management of comorbidities, along with AF-targeted treatments, to improve long-term outcomes in patients with AF.

Impact of frailty on early rhythm control outcomes in older adults with atrial fibrillation: A nationwide cohort study

Purpose

Rhythm-control therapy administered early following the initial diagnosis of atrial fibrillation (AF) has superior cardiovascular outcomes compared to rate-control therapy. Frailty is a key factor in identifying older patients' potential for improvement after rhythm-control therapy. This study evaluated whether frailty affects the outcome of early rhythm-control therapy in older patients with AF.

Methods

From the Korean National Health Insurance Service database (2005-2015), we collected 20,611 populations aged ≥65 years undergoing rhythm- or rate-control therapy initiated within 1 year of AF diagnosis. Participants were emulated by the EAST-AFNET4 trial, and stratified into non-frail, moderately frail, and highly frail groups based on the hospital frailty risk score (HFRS). A composite outcome of cardiovascular-related mortality, myocardial infarction, hospitalization for heart failure, and ischemic stroke was compared between rhythm- and rate-control.

Results

Early rhythm-control strategy showed a 14% lower risk of the primary composite outcome in the non-frail group [weighted incidence 7.3 vs. 8.6 per 100 person-years; hazard ratio (HR) 0.86, 95% confidence interval (CI) 0.79-0.93, p < 0.001] than rate-control strategy. A consistent trend toward a lower risk of early rhythm-control was observed in the moderately frail (HR 0.91, 95% CI 0.81-1.02, p = 0.09) and highly frail (HR 0.93, 95% CI 0.75-1.17, p = 0.55) groups.

Conclusion

Although the degree attenuated with increasing frailty, the superiority of cardiovascular outcomes of early rhythm-control in AF treatment was maintained without increased risk for safety outcomes. An individualized approach is required on the benefits of early rhythm-control therapy in older patients with AF, regardless of their frailty status.

The Association of Glucose Control with Circulating Levels of Red Blood Cell-Derived Vesicles in Type 2 Diabetes Mellitus Patients with Atrial Fibrillation

Hyperglycemia is a trigger for structural alteration of red blood cells (RBCs) and their ability to release extracellular vesicles (EVs). The aim of the study was to elucidate whether glucose control in T2DM patients with concomitant HF and AF affects a circulating number of RBC-derived EVs. We prospectively included 417 T2DM patients with HF, 51 of them had atrial fibrillation and 25 healthy volunteers and 30 T2DM non-HF individuals. Clinical assessment, echocardiography examination and biomarker measures were performed at the baseline of the study. RBC-derived EVs were determined as CD235a+ PS+ particles by flow cytometry. NT-proBNP levels were measured by ELISA. AF patients with glycosylated hemoglobin (HbA1c) < 6.9% had lower levels of CD235a+ PS+ RBC-derived vesicles than those with HbA1c ≥ 7.0%. There were no significant differences in number of CD235a+ PS+ RBC-derived vesicles between patients in entire cohort and in non-AF sub-cohort with HbA1c < 6.9% and HbA1c ≥ 7.0%, respectively. Multivariate linear regression yielded that CD235a+ PS+ RBC-derived vesicles ≥ 545 particles in µL (OR = 1.06; 95% CI = 1.01−1.11, p = 0.044) independently predicted HbA1c ≥ 7.0%. Elevated levels of CD235a+ PS+ RBC-derived EVs independently predicted poor glycaemia control in T2DM patients with HF and AF.

Evolution of non-fatal burden estimates for cardiovascular disease in Australia: a comparison of national and state-wide methodology of burden of disease

Objective Burden of disease studies measure the impact of disease at the population level;however, methods and data sources for estimates of prevalence vary. Using a selection of cardiovascular diseases, we aimed to describe the implications of using different disease models and linked administrative data on prevalence estimation within three Australian burden of disease studies. Methods Three different methods (A = 2011 Australian Burden of Disease Study; B = 2015 Australian Burden of Disease Study; C = 2015 Western Australian Burden of Disease Study), which used linked data, were used to compare prevalence estimates of stroke, aortic aneurysm, rheumatic valvular heart disease (VHD) and non-rheumatic VHD. We applied these methods to 2015 Western Australian data, and calculated crude overall and age-specific prevalence for each condition. Results Overall, Method C produced estimates of cardiovascular prevalence that were lower than the other methods, excluding non-rheumatic VHD. Prevalence of acute and chronic stroke was up to one-third higher in Method A and B compared to Method C. Aortic aneurysms had the largest change in prevalence, with Method A producing an eight-fold higher estimate compared to Method C, but Method B was 10-20% lower. Estimates of VHD varied dramatically, with an up to six-fold change in prevalence in Method C due to substantial changes to disease models and the use of linked data. Conclusions Prevalence estimates require the best available data sources, updated disease models and constant review to inform government policy and health reform. Availability of nation-wide linked data will markedly improve future burden estimates.

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.

Incidence and impact of atrial fibrillation in heart failure patients: real-world data in a large community

AIMS

The objective of the present study is to assess the bidirectional association between heart failure (HF) and atrial fibrillation (AF) using real-world data.

METHODS AND RESULTS

From an electronic health recording with a population of 3 799 885 adult subjects, those with prevalent or incident HF were selected and followed throughout a study period of 5 years. Prevalence and incidence of AF, and their impact in the risk for acute HF hospitalization, worsening renal function, ischaemic and haemorrhagic stroke, and all-cause mortality were identified. We analysed all incident and prevalent patients with HF and AF, 128 086 patients (S1), and subsequently analysed a subset of patients with incident HF and AF, 57 354 patients (S2). We analysed all incident and prevalent patients with HF and AF, 128 086 patients (S1), and subsequently a subset of patients with incident HF and AF, 57 354 patients (S2). The prevalence of AF was 59 906 (46.7%) of the HF patients, while incidence in the S2 was 231/1000 patients/year. In both cohorts, S1 and S2, AF significantly increases the risk of acute heart failure hospitalization [incidence 79.1/1000 and 97.5/1000 patients/year; HR 1.53 (1.48-1.59 95% CI) and HR 1.32 (1.24-1.41 95% CI), respectively], risk of decreased renal function (eGFR reduced by >20%) [66.2/1000 and 94.0/1000 patients/year; HR 1.13 (1.09-1.18 95% CI) and HR 1.22 (1.14-1.31 95% CI), respectively] and all-cause mortality [203/1000 and 294/1000 patients/year; HR 1.62 (1.58-1.65 95% CI) and HR 1.65 (1.59-1.70 95% CI), respectively]. The number of episodes of hospitalization for acute heart failure was also significantly higher in the AF patients (27 623 vs. 10 036, P < 0.001). However, the risk for ischaemic stroke was reduced in the AF subjects [HR 0.66 (0.63-0.74 95% CI)], probably due to the anticoagulant treatment.

CONCLUSIONS

AF is associated with an increment in the risk of episodes of acute heart failure as well as decline of renal function and increment of all-cause mortality.

What have we learned so far from the sex/gender issue in heart failure? An overview of current evidence

There are important differences in epidemiology, pathophysiology, HF patterns, prognosis, and treatment. Women have a higher incidence of HFpEF due to sex-specific factors (such as anthropometry, role of estrogens, pregnancy-related cardiomyopathies), increased incidence of comorbidities, and gender-specific conditions. Men instead present a predisposition to the development of HFrEF due to a higher incidence of coronary artery disease and myocardial infarction. However, there are still gaps in the management of women with HF. The poor inclusion of women in clinical trials may have contributed to a lesser understanding of disease behavior than in men. In addition, a full understanding of gender-specific factors that are studied in small populations is lacking in the literature, and only in recent years, studies have increased their focus on this issue. Understanding how society, family, and environment affect the prognosis of HF patients may help clinicians provide more appropriate levels of care. In this overview, we aimed at summarizing all the key available evidence regarding sex/gender differences in heart failure.

Unplanned 30-day readmission, comorbidity, and impact on mortality after incident atrial fibrillation hospitalization in Western Australia, 2001–2015

Background

The healthcare burden of atrial fibrillation (AF) is dominated by hospitalizations, but data on 30-day unplanned readmissions after AF hospitalization and impact on mortality are limited.

Objective

To assess causes and trends of 30-day unplanned readmission in incident (first-ever) hospitalized AF patients, and the risk of readmission for subsequent all-cause mortality.

Methods

Patients aged 25–94 years, with an incident AF hospitalization (principal diagnosis) between 2001 and 2015, and surviving 30 days post discharge, were identified from linked Western Australian hospitalization and mortality data. Unplanned 30-day readmissions were categorized by principal diagnosis. Multivariable logistic and Cox regression analyses determined the independent predictors of readmission and the hazard ratio (HR) with 95% confidence intervals (CI) of readmission for subsequent 1-year mortality.

Results

Of 22,814 patients, 57.7% male, mean age 67.8 ± 13.8 (standard deviation) years, 9.5% experienced 1 or more 30-day unplanned readmissions, with standardized rates increasing 2.0% annually (95% CI, 1.0%–3.1%). Among all readmissions, 64.8% were cardiovascular-related, with AF (31.7%), coronary events (12.2%), and heart failure (8.5%) being the most frequent. In 30-day survivors, 4.3% died within 1 year. Patients with any cardiovascular or noncardiovascular readmission (vs none) had a multivariable-adjusted mortality HR of 2.12 (95% CI, 1.82–2.45). Coexistent comorbidities were independently associated with 30-day unplanned readmission and 1-year mortality.

Conclusion

Following incident AF hospitalization, 30-day unplanned readmissions were common, mostly cardiovascular-related, but any readmission, regardless of cause, was associated with a 2-fold higher adjusted mortality risk. Our findings also support the importance of comorbidity optimization within an integrated care pathway to reduce adverse outcomes in AF patients.

Treatment strategies for patients with atrial fibrillation and chronic heart failure

Atrial fibrillation (AF) is associated with significant morbidity and mortality and may lead to the development of chronic heart failure (CHF). Each condition predisposes to the other, requiring a careful choice of the treatment strategy. This article is devoted to the prevalence and prognostic implications of both diseases. The article presents data from meta-analyzes related to the management of this group of patients. The aspects of rhythm control strategy in AF and concomitant CHF are described according to the recent studies and clinical guidelines. The features of anticoagulant therapy in patients with AF and CHF are outlined. Much attention is given to the importance of the safety profile of the anticoagulant therapy in terms of the bleeding risk in patients with concomitant AF and CHF.

Pulmonary artery pressure is associated with mid-term major adverse cardiovascular events and postprocedure pericardial effusion in atrial fibrillation patients undergoing left atrial appendage occlusion

Background

Patients with nonvalvular atrial fibrillation (NVAF) undergoing left atrial appendage occlusion (LAAO) are at high risk of stroke or bleeding. However, risk factors for their adverse cardiovascular events remain largely unknown. Pulmonary hypertension has been shown to be related to poor prognosis in many heart diseases. In this study, we determined whether elevated pulmonary artery systolic pressure (PASP) is associated with postprocedure adverse events and major adverse cardiovascular events (MACE) in these patients.

Methods

From June 2017 and December 2019, 530 consecutive patients with NAVF at high risk of stroke or bleeding who undergone LAAO were retrospectively enrolled in our study. The preprocecure PASP was obtained by transthoracic echocardiography using the simplified Bernoulli's equation. Patients were followed-up through clinic visits or over the phone at discharge at 1-3 months, 6 months, and annually thereafter. The median follow-up time was 12 months, and clinical data were analyzed. MACE was defined as myocardial infarction, definite heart failure, stroke, or all-cause death. The outcome of postprocedure pericardial effusion included in-hospital pericardial effusion and pericardial effusion detected after discharge.

Results

Univariate analyses indicated that patients who had MACE tended to have elevated PASP (P=0.005). After dividing the cohort according to the cut-off value of PASP, Kaplan-Meier curves indicated that patients with PASP ≥39.5 mmHg had a higher risk of MACE (P=0.007) and heart failure hospitalization (P=0.005) compared to patients whose PASP <39.5 mmHg. Cox regression analysis showed that PASP was a predominant risk factor of MACE (HR =2.337, 95% CI, 1.207-4.526, P=0.012) and heart failure hospitalization (HR =3.701, 95% CI, 1.118-12.251, P=0.032). Furthermore, the PASP cut-off added incremental discriminatory capacity to the MACE risk model of this cohort. In addition, logistic regression showed that PASP had as a significant association with postprocedure pericardial effusion (OR =1.061, P=0.032).

Conclusions

Elevated PASP was associated with postprocedure pericardial effusion and mid-term MACEs in patients with atrial fibrillation (AF) undergoing LAAO.