Atrial fibrillation is an independent risk factor for heart failure hospitalization in heart failure with preserved ejection fraction

Wearable Devices for Quantifying Atrial Fibrillation Burden: A Systematic Review and Bayesian Meta-Analysis

BACKGROUND

Atrial fibrillation (AF) is the most common supraventricular arrhythmia and is associated with an impaired prognosis. Studies using implantable cardiac monitors suggest that this association is closely linked to AF burden, defined as the percentage of time spent in AF. Consequently, there is a growing need for affordable and comfortable alternative devices, such as wearables, capable of reliably monitoring AF burden in patients with AF.

METHODS

Major electronic databases were searched for studies comparing AF burden quantification using wearables and reference ECG monitoring methods. A Bayesian approach was adopted for the final analysis.

RESULTS

Six studies, including a total of 448 patients and 36,978 h of valid simultaneous recordings, were analyzed. Bayesian analysis revealed no statistically significant differences between wearables and reference methods in AF burden quantification. The mean error was 1% (95% CrIs: -4% to 7%). Similar findings were observed in the subgroup analysis of studies assessing only smartwatches. Between-study heterogeneity was low, and no evidence of publication bias was detected.

CONCLUSION

Our analysis suggests that AF burden quantification using wearables is comparable to reference ECG monitoring methods. These findings support the potential role of wearables in clinical practice, particularly for research and prognostic purposes. However, more studies are needed to determine whether the observed statistical equivalence translates to clinical significance, thereby supporting the widespread use of wearables in the assessment of rhythm control therapeutic strategies.

Clinical characteristics and prognostic impact of atrial fibrillation among older patients with heart failure with preserved ejection fraction hospitalized for acute heart failure

Heart failure with preserved ejection fraction (HFpEF) and atrial fibrillation (AF) are often coexisting conditions, but their interrelationship has not yet been clarified. This study investigated the clinical characteristics and prognostic impact of AF among older patients with HFpEF hospitalized for acute HF (AHF). The study included patients 65 years of age and older who were admitted to the Emergency Department due to AHF from 1 January 2016 to 31 December 2019. Patients were divided into two groups according to the presence of AF. The primary endpoint was all-cause, in-hospital mortality. Overall, 770 patients with HFpEF were included, mean age 82 years, 53% were females. Nearly, a third (30%) of these patients had a concomitant AF and they were significantly older and had higher N-Terminal pro-B-type natriuretic peptide (NT-proBNP) values. Overall, the in-hospital mortality rate was much higher among HFpEF patients with AF compared to those without AF (11.4% vs 6.9%, respectively; p = 0.037). At multivariate analysis, AF emerged as an independent risk factor for death (OR 1.73 [1.03-2.92]; p = 0.038). Among older patients with HFpEF admitted for AHF, the coexistence of AF was associated with a nearly twofold increased risk of all-cause in-hospital mortality. Patients with HFpEF and AF describe a phenotype of older and more symptomatic patients, with higher NT-proBNP, left atrial enlargement, right ventricular dysfunction, and higher CV mortality.

Predictors and Trends of 30-day Readmissions in Patients With Acute Decompensated Heart Failure With Preserved Ejection Fraction: Insight From the National Readmission Database

Background and Objectives

Hospital readmissions serve as a significant negative prognostic indicator and have a considerable impact on healthcare utilization among individuals diagnosed with heart failure with preserved ejection fraction (HFpEF). For our study, we aimed to elucidate predictors and trends of HFpEF readmissions within a 30-day period.

Methods

The Healthcare Cost and Utilization Project National Readmission Database (NRD) was queried between 2016-2020 to study the 30-day all-cause hospital readmission rate, predictors, duration of hospital stay, and the overall cost of hospitalization. Multivariate/univariate logistic and linear regression analysis were used to analyze the outcomes and adjust for possible confounders.

Results

A total of 3,831,156 index hospitalizations for acute decompensated HFpEF were identified between the years 2016-2020, of which 673,844 (18.4%) patients were readmitted within 30 days. The 30-day all-cause readmissions increased significantly from 17.4% to 19.9% (p<0.001) in the 5-year trend analysis. The most common cardiovascular cause for readmission was hypertensive heart disease with chronic kidney disease stage 1-4 (13.2%). Independent predictors associated with increased rate of readmissions were patients that left against medical advice (adjusted odds ratio [aOR], 2.06; 95% confidence interval [CI], 1.99-2.14; p<0.001), cirrhosis (aOR, 1.33; 95% CI, 1.30-1.36; p<0.001), and chronic obstructive pulmonary disease (aOR, 1.27; 95% CI, 1.25-1.29; p<0.001).

Conclusions

Nearly 1 in 5 patients with acute decompensated HFpEF were readmitted within 30 days (2016-2020), with readmissions rising over time. Identifying at-risk patients is crucial to reducing readmissions and costs.

Performance of Ambulatory Electrocardiographic Data for Prediction of Stroke and Heart Failure Events

Background

Despite clear associations between arrhythmia burden and cardiovascular risk, clinical risk scores that predict cardiovascular events do not incorporate individual-level arrhythmia characteristics from long-term continuous monitoring (LTCM).

Objectives

This study evaluated the performance of risk models that use data from LTCM and patient claims for prediction of heart failure (HF) and ischemic stroke.

Methods

We retrospectively analyzed features extracted from up to 14 days of LTCM electrocardiogram (ECG) data linked to patient-level claims data for 320,974 Medicare beneficiaries who underwent ZioXT ambulatory monitoring. We created predictive models for HF hospitalization, stroke hospitalization, and new-onset HF within 1 year using LASSO Cox regression for variable selection among ambulatory ECG variables and components of the CHA2DS2-VASc score.

Results

A model that included components of the CHA2DS2-VASc and all ambulatory ECG variables had greater discrimination for HF hospitalization (C-statistic 0.85, 95% CI: 0.84-0.86) than the CHA2DS2-VASc (C-statistic 0.73, 95% CI: 0.72-0.74), but performed similarly to the CHA2DS2-VASc for prediction of stroke hospitalization (C-statistic 0.75 [95% CI: 0.74-0.77] vs 0.71 [95% CI: 0.70-0.72], respectively). Atrial fibrillation was associated with greater risk in the most predictive models (HF hospitalization, HR: 1.53 [95% CI: 1.35-1.72]; stroke hospitalization, HR: 1.58 [95% CI: 1.30-1.93]), and premature ventricular couplets were associated with greater risk of HF hospitalization (HR: 1.54, 95% CI: 1.43-1.65).

Conclusions

The CHA2DS2-VASc performed modestly for prediction of stroke and HF events; predictive ability improved significantly with addition of LTCM ECG covariates. The presence of atrial fibrillation and ventricular ectopy on 14-day LTCM were strongly associated with HF events.

Impact of Atrial Fibrillation Type on Outcomes of Transcatheter Aortic Valve Replacement for Aortic Stenosis: A Single-Center Analysis

Background

Atrial fibrillation (AF) is a recognized risk factor for mortality after transcatheter aortic valve replacement for severe aortic stenosis, but the impact of different types of AF on clinical outcomes remains unclear.

Methods

This retrospective study included 982 patients divided into 3 groups: no AF, paroxysmal AF, and nonparoxysmal AF (persistent or permanent). Clinical outcomes were analyzed using inverse probability weighting and multivariate models.

Results

There were 610, 211, and 161 patients in the no-AF, paroxysmal AF, and nonparoxysmal AF groups, respectively. For the entire cohort, the mean (SD) age was 82 (7.7) years, and the periprocedural, 1-year, and 5-year mortality rates were 2.0%, 12%, and 50%, respectively. After inverse probability weighting, the periprocedural mortality rate was higher in the nonparoxysmal AF group than in the no-AF group (odds ratio, 4.71 [95% CI, 1.24-17.9]). During 5 years of follow-up (median [IQR], 22 [0-69] months), all-cause mortality was higher in the nonparoxysmal AF group than in the no-AF group (hazard ratio [HR], 1.56 [95% CI, 1.14-2.14]; P = .006). The paroxysmal AF group was not associated with worse clinical outcomes than the no-AF group (HR, 1.02 [95% CI, 0.81-1.49]) for all-cause mortality. Stroke rates were comparable among the 3 groups. Multivariate analysis also showed increased all-cause mortality in the nonparoxysmal AF group compared with the no-AF group (adjusted HR, 1.43 [95% CI, 1.06-1.93]; P = .018), while all-cause mortality was comparable between the paroxysmal AF and no-AF groups (adjusted HR, 1.00 [95% CI, 0.75-1.33]).

Conclusion

In patients undergoing transcatheter aortic valve replacement for severe aortic stenosis, having nonparoxysmal AF was associated with a higher risk of periprocedural and all-cause mortality compared with having no AF. Paroxysmal AF showed no such association.

Atrial fibrillation and risk of adverse outcomes in heart failure with reduced, mildly reduced, and preserved ejection fraction: A systematic review and meta-analysis

INTRODUCTION

Heart failure (HF) and atrial fibrillation (AF) frequently co-exist. Contemporary classification of HF categorizes it into HF with reduced ejection fraction (HFrEF), HF with mildly reduced ejection fraction (HFmrEF), and HF with preserved ejection fraction (HFpEF). Aggregate data comparing the risk profile of AF between these three HF categories are lacking.

METHODS

We conducted a systematic review and meta-analysis aimed at determining any significant differences in AF-associated all-cause mortality, HF hospitalizations, cardiovascular mortality (CV), and stroke between HFrEF, HFmrEF, and HFpEF. A systematic search of PubMed, EMBASE, and Cochrane Library databases until February 28, 2023. Data were combined using DerSimonian-Laird random effects model.

RESULTS

A total of 22 studies comprising 248 323 patients were retained: HFrEF 123 331 (49.7%), HFmrEF 40 995 (16.5%), and HFpEF 83 997 (33.8%). Pooled baseline AF prevalence was 36% total population, 30% HFrEF, 36% HFmrEF, and 42% HFpEF. AF was associated with a higher risk of all-cause mortality in the total population with pooled hazard ratio (HR) = 1.13 (95% confidence interval [CI] = 1.07-1.21), HFmrEF (HR = 1.25, 95% CI = 1.05-1.50) and HFpEF (HR = 1.16, 95% CI = 1.09-1.24), but not HFrEF (HR = 1.03, 95% CI = 0.93-1.14). AF was associated with a higher risk of HF hospitalizations in the total population (HR = 1.29, 95% CI = 1.14-1.46), HFmrEF (HR = 1.64, 95% CI = 1.20-2.24), and HFpEF (HR = 1.46, 95% CI = 1.17-1.83), but not HFrEF (HR = 1.01, 95% CI = 0.87-1.18). AF was only associated with CV in the HFpEF subcategory but was associated with stroke in all three HF subtypes.

CONCLUSIONS

AF appears to be associated with a higher risk of all-cause mortality and HF hospitalization in HFmrEF and HFpEF. With these findings, the paucity of data and treatment guidelines on AF in the HFmrEF subgroup becomes even more significant and warrant further investigations.

Prevalence of Subclinical Atrial Fibrillation in Heart Failure With Preserved Ejection Fraction

BACKGROUND

Atrial fibrillation (AF) is common in patients with heart failure with preserved ejection fraction (HFpEF) and is associated with poorer clinical outcomes. The prevalence of subclinical AF in patients with HFpEF remains unknown.

OBJECTIVES

The aim of this study was to determine whether subclinical AF was more prevalent in individuals with HFpEF than in individuals without histories of heart failure (HF).

METHODS

Patients with HFpEF with no prior diagnoses of AF were screened for subclinical AF, and the prevalence of subclinical AF was compared with that among control subjects without HF drawn from MESA (Multi-Ethnic Study of Atherosclerosis) who underwent the same electrocardiographic monitoring. Multivariable logistic regression was used to adjust for demographic and clinical comorbidities.

RESULTS

Ninety patients with HFpEF and 1,230 MESA participants were included. Patients with HFpEF were younger (median age 69 years [Q1-Q3: 63-76 years] vs 72 years [Q1-Q3: 66-80 years]; P = 0.02), more obese (median body mass index 36 kg/m2 [Q1-Q3: 30-45 kg/m2] vs 27 kg/m2 [Q1-Q3: 24-30 kg/m2]; P < 0.001), and more likely to have diabetes (34% vs 21%; P = 0.01). The prevalence of subclinical AF was 8.9% in patients with HFpEF and 4.1% in non-HF participants. After multivariable adjustment for age, sex, race, body mass index, diabetes, smoking, and total analyzable time on electrocardiographic monitor, there was a significantly higher odds of subclinical AF in patients with HFpEF compared with MESA (OR: 3.01; 95% CI: 1.13-7.99; P = 0.03).

CONCLUSIONS

Patients with HFpEF had a higher prevalence of subclinical AF than participants without HF from a community-based study. Screening for atrial arrhythmias may be appropriate among patients with HFpEF for timely initiation of thromboembolic prophylaxis and may identify individuals at greater risk for clinical decompensation.

Acute antiarrhythmic effects of SGLT2 inhibitors-dapagliflozin lowers the excitability of atrial cardiomyocytes

In recent years, SGLT2 inhibitors have become an integral part of heart failure therapy, and several mechanisms contributing to cardiorenal protection have been identified. In this study, we place special emphasis on the atria and investigate acute electrophysiological effects of dapagliflozin to assess the antiarrhythmic potential of SGLT2 inhibitors. Direct electrophysiological effects of dapagliflozin were investigated in patch clamp experiments on isolated atrial cardiomyocytes. Acute treatment with elevated-dose dapagliflozin caused a significant reduction of the action potential inducibility, the amplitude and maximum upstroke velocity. The inhibitory effects were reproduced in human induced pluripotent stem cell-derived cardiomyocytes, and were more pronounced in atrial compared to ventricular cells. Hypothesizing that dapagliflozin directly affects the depolarization phase of atrial action potentials, we examined fast inward sodium currents in human atrial cardiomyocytes and found a significant decrease of peak sodium current densities by dapagliflozin, accompanied by a moderate inhibition of the transient outward potassium current. Translating these findings into a porcine large animal model, acute elevated-dose dapagliflozin treatment caused an atrial-dominant reduction of myocardial conduction velocity in vivo. This could be utilized for both, acute cardioversion of paroxysmal atrial fibrillation episodes and rhythm control of persistent atrial fibrillation. In this study, we show that dapagliflozin alters the excitability of atrial cardiomyocytes by direct inhibition of peak sodium currents. In vivo, dapagliflozin exerts antiarrhythmic effects, revealing a potential new additional role of SGLT2 inhibitors in the treatment of atrial arrhythmias.

Heart failure with preserved ejection fraction and atrial fibrillation: clinical management in the context of recent therapeutic advances in heart failure and electrophysiology

Heart failure with preserved ejection fraction (HFpEF) and atrial fibrillation (AF) have emerged as major age-related epidemics within cardiology. Both conditions carry overlapping symptomatology, and delineating between AF and HFpEF from a diagnostic standpoint is challenging as echocardiographic and biomarker assessments used to diagnose HFpEF may be impacted by AF. Indeed, these two conditions are commonly found in the same individual, so much so that AF has been used in proposed diagnostic criteria for HFpEF. The frequent concomitant presence of these two conditions is associated with poorer quality of life, exertional capacity, as well as increased risk for decompensated heart failure and all-cause mortality. Though these deleterious effects of AF in HFpEF patients are well described, we currently have only a superficial understanding of the complex interplay between these two conditions. Preliminary studies on intervening in AF in HFpEF are very small, with mixed data on whether modifying the natural history of AF can lead to improvement in heart failure (HF) outcomes in HFpEF. In this review, we will describe the clinical implications of carrying both cardiovascular conditions, address recent advances in HFpEF and AF, and highlight preliminary studies targeted at reduction of effects associated with AF burden in HFpEF.

Comorbidities in heart failure patients that predict cardiovascular readmissions within 100 days-An observational study

BACKGROUND

Heart failure (HF) commonly arises as a complication to cardiovascular diseases and is closely associated with various comorbidities. The impacts of these comorbidities in patients with HF are diverse. We aimed to analyze the increased risk for cardiovascular-related readmission within 100 days after discharge in patients with HF depending on their different comorbidities.

METHODS

A population-based retrospective study was conducted in Region Halland with 5029 patients admitted to hospital with a diagnosis of HF during 2017-2019. The occurrence and number of comorbidities were recorded. Competing risk regression was employed to analyze the hazard ratio (HR) of 10 comorbidities for cardiovascular-related readmission within 100 days after discharge. A composite measure of the 10 common comorbidities was constructed with the comorbidities as dichotomous indicator variables and Rasch analysis. Receiver operating characteristic (ROC) and area under curve (AUC) after logistic regression were used to estimate how well the model explained the probability of death or readmission within 100 days after discharge according to their individual comorbidity level.

RESULTS

HF patients with atrial fibrillation, chronic obstructive pulmonary disease, chronic kidney disease, peripheral artery disease or diabetes mellitus as comorbidities had an increased HR for readmission within 100 days after discharge. When these comorbidities were adjusted together, only atrial fibrillation, chronic kidney disease and chronic obstructive pulmonary disease had an increased HR for readmission. ROC analysis after the most complete models using logistic regression with the comorbidities as dichotomous indicator variables or Rasch analysis had a low AUC.

CONCLUSIONS

Atrial fibrillation, chronic kidney disease or chronic obstructive pulmonary disease were significantly associated with increased risk for readmission in HF patients, but ROC analysis showed a low AUC, which indicates that other factors are more important for predicting the increased risk of readmission.

Sex-specific differences in risk factors, comorbidities, diagnostic challenges, optimal management, and prognostic outcomes of heart failure with preserved ejection fraction: A comprehensive literature review

Due to hormonal variations, heart failure with preserved ejection fraction (HFpEF) remains prevalent in women and affects almost half of the heart failure (HF) patients. Given the yearly death rate of 10-30% and the unavailability of medications targeting HFpEF, the need arises for a better understanding of the fundamental mechanisms of this syndrome. This comprehensive review explores sex-specific differences in traditional risk factors; female-specific factors that may impact HFpEF development and response to therapy, including variations in hormone levels that may occur pre- and post-menopausal or during pregnancy; and disparities in comorbidities, clinical presentation, and diagnostic challenges. Lastly, the review addresses prognostic outcomes, noting that women with HFpEF have a poor quality of life but a higher survival rate. It also discusses novel biomarkers and precision medicine, emphasizing their potential to improve early detection and personalized treatment.

A review of the impact, pathophysiology, and management of atrial fibrillation in patients with heart failure with preserved ejection fraction

Patients with heart failure with preserved ejection fraction (HFpEF) and atrial fibrillation (AF) have increased mortality and increased risk of stroke. Due to the heterogeneous nature of both disease processes, it is difficult to ascertain whether the diagnosis and progression of AF is the cause of deterioration or if it is a symptom of worsening heart failure. This presents physicians with a clinical conundrum of whether optimizing their heart failure will decrease the overall AF burden or if restoration of sinus rhythm is necessary to optimize patients with HFpEF. In this paper, we will review the impact of AF in patients with HFpEF, the pathophysiology and heterogeneity of HFpEF and AF, and the management of these patients. As HFpEF and AF become more prevalent, managing these disease processes needs standardization to improve outcomes. Further research is needed to understand the complex interplay between AF and HFpEF to help determine the best management strategy.

Association of sleep duration and physical frailty with cognitive function in older patients with coexisting atrial fibrillation and heart failure

AIM

To investigate the associations of sleep duration and physical frailty with cognitive function in older patients with both atrial fibrillation and heart failure.

DESIGN

This study used a cross-sectional, secondary data analysis design.

METHOD

We included outpatients aged ≥ 65 years with coexisting atrial fibrillation and heart failure in South Korea. We used a sample of 176 patients (men = 100) with HF among 277 data from the parent study. The data were collected through a self-report, structured questionnaire and electronic medical record.

RESULTS

Our main finding showed that long sleep duration and physically frail status were significant predictors of cognitive impairment in older adults with both atrial fibrillation and heart failure. Healthcare providers should be aware of the importance of assessing sleep duration and physical activity in older adults with both atrial fibrillation and heart failure to prevent or delay cognitive impairment.