Lifestyle and Risk Factor Modification for Reduction of Atrial Fibrillation: A Scientific Statement From the American Heart Association

The association of exhaled carbon monoxide with atrial fibrillation and left atrial size in the Framingham Heart Study

Background

Exhaled carbon monoxide (eCO) is associated with subclinical and overt cardiovascular disease and stroke. The association between eCO with left atrial size, prevalent, or incident atrial fibrillation (AF) are uncertain.

Methods

eCO was measured using an Ecolyzer instrument among Framingham Heart Study Offspring and Omni participants who attended an examination from 1994 to 1998. We analyzed multivariable-adjusted (current smoking, and other covariates including age, race, sex, height, weight, systolic blood pressure, diastolic blood pressure, diabetes, hypertension treatment, prevalent myocardial infarction [MI], and prevalent heart failure [HF]). Cox and logistic regression models assessed the relations between eCO and incident AF (primary model), and prevalent AF and left atrial (LA) size (pre-specified secondary analyses). We also conducted secondary analyses adjusting for biomarkers, and interim MI and interim HF.

Results

Our study sample included 3814 participants (mean age 58 ± 10 years; 54.4 % women, 88.4 % White). During an average of 18.8 ± 6.5 years follow-up, 683 participants were diagnosed with AF. eCO was associated with incident AF after adjusting for established AF risk factors (HR, 1.31 [95 % CI, 1.09-1.58]). In secondary analyses the association remained significant after additionally adjusting for C-reactive protein and B-type natriuretic peptide, and interim MI and CHF, and in analyses excluding individuals who currently smoked. eCO was not significantly associated with LA size and prevalent AF.

Conclusion

In our community-based sample of individuals without AF, higher mean eCO concentrations were associated with incident AF. Further investigation is needed to explore the biological mechanisms linking eCO with AF.

NAD+ metabolism and therapeutic strategies in cardiovascular diseases

Nicotinamide adenine dinucleotide (NAD+) is a central and pleiotropic metabolite involved in cellular energy metabolism, cell signaling, DNA repair, and protein modifications. Cardiovascular diseases (CVDs) are the leading cause of death worldwide. Metabolic stress and aging directly affect the cardiovascular system. Compelling data suggest that NAD + levels decrease with age, obesity, and hypertension, which are all notable risk factors for CVD. In addition, the therapeutic elevation of NAD + levels reduces chronic low-grade inflammation, reactivates autophagy and mitochondrial biogenesis, and enhances oxidative metabolism in vascular cells of humans and rodents with vascular disorders. In preclinical models, NAD + boosting can also expand the health span, prevent metabolic syndrome, and decrease blood pressure. Moreover, NAD + storage by genetic, pharmacological, or natural dietary NAD + -increasing strategies has recently been shown to be effective in improving the pathophysiology of cardiac and vascular health in different animal models, and human health. Here, we review and discuss NAD + -related mechanisms pivotal for vascular health and summarize recent experimental evidence in NAD + research directly related to vascular disease, including atherosclerosis, and coronary artery disease. Finally, we comparatively assess distinct NAD + precursors for their clinical efficacy and the efficiency of NAD + elevation in the treatment of major CVD. These findings may provide ideas for new therapeutic strategies to prevent and treat CVD in the clinic.

Effect of Semaglutide on Cardiac Structure and Function in Patients With Obesity-Related Heart Failure

BACKGROUND

Obesity is associated with adverse cardiac remodeling and is a key driver for the development and progression of heart failure (HF). Once-weekly semaglutide (2.4 mg) has been shown to improve HF-related symptoms and physical limitations, body weight, and exercise function in patients with obesity-related heart failure with preserved ejection fraction (HFpEF), but the effects of semaglutide on cardiac structure and function in this population remain unknown.

OBJECTIVES

In this echocardiography substudy of the STEP-HFpEF Program, we evaluated treatment effects of once-weekly semaglutide (2.4 mg) vs placebo on cardiac structure and function.

METHODS

Echocardiography at randomization and 52 weeks was performed in 491 of 1,145 participants (43%) in the STEP-HFpEF Program (pooled STEP-HFpEF [Semaglutide Treatment Effect in People with Obesity and HFpEF] and STEP-HFpEF DM [Semaglutide Treatment Effect in People with Obesity, HFpEF, and Type 2 Diabetes] trials). The prespecified primary outcome was change in left atrial (LA) volume, with changes in other echocardiography parameters evaluated as secondary outcomes. Treatment effects of semaglutide vs placebo were assessed using analysis of covariance stratified by trial and body mass index, with adjustment for baseline parameter values.

RESULTS

Overall, baseline clinical and echocardiographic characteristics were balanced among those receiving semaglutide (n = 253) and placebo (n = 238). Between baseline and 52 weeks, semaglutide attenuated progression of LA remodeling (estimated mean difference [EMD] in LA volume, -6.13 mL; 95% CI: -9.85 to -2.41 mL; P = 0.0013) and right ventricular (RV) enlargement (EMD in RV end-diastolic area: -1.99 cm2; 95% CI: -3.60 to -0.38 cm2; P = 0.016; EMD in RV end-systolic area: -1.41 cm2; 95% CI: -2.42 to -0.40] cm2; P = 0.0064) compared with placebo. Semaglutide additionally improved E-wave velocity (EMD: -5.63 cm/s; 95% CI: -9.42 to -1.84 cm/s; P = 0.0037), E/A (early/late mitral inflow velocity) ratio (EMD: -0.14; 95% CI: -0.24 to -0.04; P = 0.0075), and E/e' (early mitral inflow velocity/early diastolic mitral annular velocity) average (EMD: -0.79; 95% CI: -1.60 to 0.01; P = 0.05). These associations were not modified by diabetes or atrial fibrillation status. Semaglutide did not significantly affect left ventricular dimensions, mass, or systolic function. Greater weight loss with semaglutide was associated with greater reduction in LA volume (Pinteraction = 0.033) but not with changes in E-wave velocity, E/e' average, or RV end-diastolic area.

CONCLUSIONS

In the STEP-HFpEF Program echocardiography substudy, semaglutide appeared to improve adverse cardiac remodeling compared with placebo, further suggesting that treatment with semaglutide may be disease modifying among patients with obesity-related HFpEF. (Research Study to Investigate How Well Semaglutide Works in People Living With Heart Failure and Obesity [STEP-HFpEF]; NCT04788511; Research Study to Look at How Well Semaglutide Works in People Living With Heart Failure, Obesity and Type 2 Diabetes [STEP-HFpEF DM]; NCT04916470).

Associations of ambient air pollution with incidence and dynamic progression of atrial fibrillation

The influence of air pollution on dynamic changes in clinical state from healthy to atrial fibrillation (AF), further AF-related complications and ultimately, death are unclear. We aimed to investigate the relationships between air pollution and the occurrence and progression trajectories of AF. We retrieved 442,150 participants free of heart failure (HF), myocardial infarction (MI), stroke and dementia at baseline from UK Biobank. Exposures to air pollution for each transition stage were estimated at the geocoded residential address of each participant using the bilinear interpolation approach. The outcomes were incident AF, complications, and death. Multi-stage models were used to evaluate the associations between air pollution and dynamic progression of AF. Over a 12.6-year median follow-up, a total of 21,670 incident AF patients were identified, of whom, 4103 developed complications and 1331 died. PM2.5, PM10, NOx and NO2 were differentially positively associated, while O3 was negatively associated with risks of progression trajectories of AF. PM2.5 exposure was significantly associated with an increased risk of progression. The associations of PM2.5, PM10, NOx, and NO2 on incident AF were generally more pronounced compared to other transitions. The cumulative transition probabilities were generally higher in individuals with higher exposure levels of PM2.5, PM10, NOx, and NO2 and lower exposure to O3. Air pollution could potentially have a role in increasing the risk of both the occurrence and progression of AF, emphasizing the significance of air pollution interventions in both the primary prevention of AF and the management of AF-related outcomes.

Atrial Fibrillation Prevalence Rates and Its Association with Cardiovascular-Kidney-Metabolic Factors: SIMETAP-AF Study

Background and Objectives: Atrial fibrillation (AF) is the most frequent arrhythmia and the main cause of hospital admissions for cardioembolic stroke. The SIMETAP research project aims to update the prevalence rates of cardiovascular, renal, or metabolic factors and to evaluate their respective associations with factors that could be related. The present study aims to assess the AF prevalence rates in an adult population and its association with cardiovascular-kidney-metabolic (CKM) factors. Materials and Methods: This cross-sectional observational study was conducted in a primary care setting, with a population-based random sample of 6588 people aged 18.0-102.8 years. Crude and adjusted prevalence rates of AF were calculated. The associations of CKM factors with AF were assessed using bivariate and multivariate analysis. Results: The age- and sex-adjusted prevalence rates of AF were 2.9% in the overall adult population, 6.1% in the population aged ≥50 years, and 12.9% in the population aged ≥70 years, with no significant differences by sex. AF prevalence in the population under 50 years of age barely reached 1‰. Heart failure (HF), hypertension, chronic kidney disease (CKD), stroke, low HDL-cholesterol, and prediabetes were independent CKM factors associated with AF in the overall population, as were the same factors, except prediabetes, in the population ≥50 years old (p < 0.001). High or very high vascular risk was present in 92.4% [95% CI: 89.1-95.7]) of the population with AF. Conclusions: The adjusted prevalence rate of AF in the population aged 50 years or older was 6.1%, twice that of the overall adult population and half that of the population aged 70 years or older. The main independent CKM factors associated with AF were HF, stroke, CKD, hypertension, and low HDL-cholesterol.

Exploring Diet-Based Treatments for Atrial Fibrillation: Patient Empowerment and Citizen Science as a Model for Quality-of-Life-Centered Solutions

Atrial fibrillation (AF) is the most common heart rhythm disorder in the Western world. Between the years 2010 and 2019, the global prevalence of AF rose from 33.5 million to 59 million, highlighting the importance of developing equitable treatments for patients. The disease is associated with symptoms such as palpitations, dizziness, fatigue, shortness of breath, and cognitive dysfunction. In addition, AF increases the risk of developing a stroke and heart failure. Despite new insights into risk factors that can lead to the development of AF, the success of current treatments is suboptimal. Numerous risk factors, such as hypertension, diabetes, and obesity, have been associated with the development and progression of AF. As these can be lifestyle-related risk factors, lifestyle modification may be a solution to reduce AF-related symptoms as well as episodes. Research results show that certain dietary changes can reduce AF and numerous risk factors for AF. Increasing attention is being given to Mediterranean and whole, plant-based eating patterns, which emphasize eating grains, legumes, vegetables, fruits, and nuts, while excluding most-or all-animal products. Hence, what are the beneficial aspects of a Mediterranean and plant-based diet which consists mainly of unprocessed foods? In the current review, we discuss the outcomes of diet-based treatments. Moreover, other diet-related treatments, brought up by patient initiatives, are highlighted. These patient-initiated studies include L-glutamine and electrolytes as options to manage AF. Also, we highlight the emerging importance of valuing patient needs and a quality-of-life-centered approach to medicine. As indicated by recent studies and patient experiences, citizen science can create inclusive solutions that lead to patient empowerment and a holistic approach for AF management.

Innovative approaches to atrial fibrillation prediction: should polygenic scores and machine learning be implemented in clinical practice?

Atrial fibrillation (AF) prediction and screening are of important clinical interest because of the potential to prevent serious adverse events. Devices capable of detecting short episodes of arrhythmia are now widely available. Although it has recently been suggested that some high-risk patients with AF detected on implantable devices may benefit from anticoagulation, long-term management remains challenging in lower-risk patients and in those with AF detected on monitors or wearable devices as the development of clinically meaningful arrhythmia burden in this group remains unknown. Identification and prediction of clinically relevant AF is therefore of unprecedented importance to the cardiologic community. Family history and underlying genetic markers are important risk factors for AF. Recent studies suggest a good predictive ability of polygenic risk scores, with a possible additive value to clinical AF prediction scores. Artificial intelligence, enabled by the exponentially increasing computing power and digital data sets, has gained traction in the past decade and is of increasing interest in AF prediction using a single or multiple lead sinus rhythm electrocardiogram. Integrating these novel approaches could help predict AF substrate severity, thereby potentially improving the effectiveness of AF screening and personalizing the management of patients presenting with conditions such as embolic stroke of undetermined source or subclinical AF. This review presents current evidence surrounding deep learning and polygenic risk scores in the prediction of incident AF and provides a futuristic outlook on possible ways of implementing these modalities into clinical practice, while considering current limitations and required areas of improvement.

Low remnant cholesterol and the subsequent risk of new-onset atrial fibrillation: A prospective cohort study

BACKGROUND

Atrial fibrillation (AF) is a common arrhythmia with high morbidity and mortality implications. Several studies have described a paradoxical inverse relationship between serum cholesterol and the risk of AF, but it remains unknown whether remnant cholesterol (RC) is associated with AF incidence.

OBJECTIVE

This study aims to prospectively investigate the association between RC and AF.

METHODS

A total of 392,783 participants free of AF at baseline from the UK Biobank were included for the analysis. Cox proportional hazards model, subgroup analysis, and sensitivity analyses were used to evaluate the independent association between RC levels and the risk of new-onset AF. Furthermore, we performed a discordance analysis by using the median cutoff points of low-density lipoprotein cholesterol (LDL-C) and RC.

RESULTS

After a median follow-up of 12.8 years (interquartile range 12.0-13.6 years), a total of 23,558 participants experienced incident AF. Compared with the highest RC level, the lower RC level was associated with an increased risk of AF incidence (quartile 1 vs quartile 4: hazard ratio 1.396; 95% confidence interval [CI] 1.343-1.452). The results remained robust across a series of sensitivity analyses. In the discordance analyses, a significantly higher risk of AF was observed in participants with discordant low RC/high LDL-C levels than in those with concordant high RC/LDL-C levels. In the low LDL-C group, RC reduction even contributed to an additional 15.8% increased rate of incident AF (low RC/low LDL-C: hazard ratio 1.303; 95% CI 1.260-1.348 vs high RC/low LDL-C: hazard ratio 1.125; 95% CI 1.079-1.172).

CONCLUSION

Low RC levels were associated with an increased risk of incident AF independent of traditional cardiovascular risk factors.

Analyzing the impact of sleep duration on atrial fibrillation risk: a comprehensive systematic review and meta-analysis

BACKGROUND

Recent studies have suggested an association between sleep duration and cardiovascular diseases; however, the link to AF is inconclusive. This study aimed to explore the relationship between sleep duration and AF by conducting a systematic review and meta-analysis of primary studies to provide evidence of the link between insufficient sleep and AF.

METHODS

A review of the existing literature was conducted to identify the primary studies that examined the association between AF and sleep duration. The inquiry spanned databases, including PubMed, Embase, MEDLINE, and Google Scholar, from their inception through October 2023.

RESULTS

Meta-analysis revealed a statistically significant association (p < 0.01) between shorter sleep duration and the incidence of AF (hazard ratio (HR), 1.18; 95% CI, 1.03-1.34; I2 = 89%). Conversely, longer sleep duration did not exhibit a statistically significant association with the incidence of AF (HR, 1.03; 95% CI, 0.92-1.14; I2 = 66%, p = 0.02). The sensitivity analysis demonstrated reduced heterogeneity after excluding specific studies.

CONCLUSION

Insufficient sleep duration was associated with an increased risk of AF, whereas a longer sleep duration did not show a significant correlation. Standardized methods for sleep assessment and AF diagnosis as well as adjustments for confounding factors are suggested for future studies to improve the clarity and understanding of these associations.

The impact of lifestyle factors on atrial fibrillation

Atrial fibrillation (AF), with its significant associated morbidity and mortality contributes to significant healthcare utilisation and expenditure. Given its progressively rising incidence, strategies to limit AF development and progression are urgently needed. Lifestyle modification is a potentially potent but underutilised weapon against the AF epidemic. The purpose of this article is to review the role of lifestyle factors as risk factors for AF, outline potential mechanisms of pathogenesis and examine the available evidence for lifestyle intervention in primary and secondary AF prevention. It will also highlight the need for investment by physicians, researchers, health services and governments in order to facilitate delivery of the comprehensive, multidisciplinary AF care that is required to manage this complex and multifactorial disease.

Rare and Common Genetic Variation Underlying Atrial Fibrillation Risk

Importance

Atrial fibrillation (AF) has a substantial genetic component. The importance of polygenic risk is well established, while the contribution of rare variants to disease risk warrants characterization in large cohorts.

Objective

To identify rare predicted loss-of-function (pLOF) variants associated with AF and elucidate their role in risk of AF, cardiomyopathy (CM), and heart failure (HF) in combination with a polygenic risk score (PRS).

Design, Setting, and Participants

This was a genetic association and nested case-control study. The impact of rare pLOF variants was evaluated on the risk of incident AF. HF and CM were assessed in cause-specific Cox regressions. End of follow-up was July 1, 2022. Data were analyzed from January to October 2023. The UK Biobank enrolled 502 480 individuals aged 40 to 69 years at inclusion in the United Kingdom between March 13, 2006, and October 1, 2010. UK residents of European ancestry were included. Individuals with prior diagnosis of AF were excluded from analyses of incident AF.

Exposures

Rare pLOF variants and an AF PRS.

Main Outcomes and Measures

Risk of AF and incident HF or CM prior to and subsequent to AF diagnosis.

Results

A total of 403 990 individuals (218 489 [54.1%] female) with a median (IQR) age of 58 (51-63) years were included; 24 447 were diagnosed with incident AF over a median (IQR) follow-up period of 13.3 (12.4-14.0) years. Rare pLOF variants in 6 genes (TTN, RPL3L, PKP2, CTNNA3, KDM5B, and C10orf71) were associated with AF. Of these, TTN, RPL3L, PKP2, CTNNA3, and KDM5B replicated in an external cohort. Combined with high PRS, rare pLOF variants conferred an odds ratio of 7.08 (95% CI, 6.03-8.28) for AF. Carriers with high PRS also had a substantial 10-year risk of AF (16% in female individuals and 24% in male individuals older than 60 years). Rare pLOF variants were associated with increased risk of CM both prior to AF (hazard ratio [HR], 3.13; 95% CI, 2.24-4.36) and subsequent to AF (HR, 2.98; 95% CI, 1.89-4.69).

Conclusions and Relevance

Rare and common genetic variation were associated with an increased risk of AF. The findings provide insights into the genetic underpinnings of AF and may aid in future genetic risk stratification.

Effect of different hypoglycemic drugs and insulin on the risk of new-onset atrial fibrillation in people with diabetes: a network meta-analysis

OBJECTIVE

Diabetes is considered a significant risk factor for the development of atrial fibrillation/flutter (AF/AFL). However, there is still insufficient evidence to determine the varying effects of different hypoglycemic drugs (HDs) on the incidence of new-onset AF/AFL in diabetic patients. To address this gap, we conducted a network meta-analysis to investigate whether various HDs have different effects on the risk of new-onset AF/AFL compared with insulin.

METHOD

We conducted a comprehensive search in PubMed, EMBASE, Cochrane Library, and Web of Science to identify all clinical trials investigating the association between various HDs or insulin and incident AF/AFL up until April 1, 2024. Bayesian random-effects model was used for network meta-analysis, and the results were expressed as relative risk (RR) and 95% confidence interval (CI).

RESULT

After searching 2070 articles, a total of 12 studies (2,349,683 patients) were included in the network meta-analysis. The treatment regimen comprised insulin and 8 HDs hypoglycemic drugs, which are sodium-dependent glucose transporters 2 inhibitor (SGLT2i), glucagon-like peptide 1 receptor agonist (GLP-1RA), dipeptidyl peptidase 4 inhibitors (DPP4i), metformin (Met), sulfonylureas (SU), non-sulfonylureas (nSU), thiazolidinedione (TZD) and α-glycosidase inhibitors (AGI). The use of SGLT2i [RR 0.23, 95%CI (0.11, 0.49)], GLP-1RA [RR 0.28, 95%CI (0.13, 0.57)], and DPP4i [RR 0.34, 95%CI (0.17, 0.67)] demonstrated significant efficacy in reducing the incidence of new-onset AF/AFL when compared to insulin. When HDs were compared in pairs, SGLT2i is more effective than Met [RR 0.35, 95% CI (0.19, 0.62)], SU (RR 0.27, 95% CI (0.14, 0.51)], nSU [RR 0.28, 95% CI (0.08, 0.95)], TZD [RR 0.34, 95% CI (0.17, 0.7)], GLP-1RA is more effective Met [RR 0.42, 95% CI (0.25, 0.71)], SU (RR 0.33, 95% CI (0.18, 0.6)], TZD [RR 0.41, 95% CI (0.21, 0.82)], while Met[RR 1.98, 95% CI (1.23, 3.23)], SU [RR 2.54, 95% CI (1.46, 4.43)], TZD [RR 2.01, 95% CI (1.05, 3.79)] was not as effective as DPP4i.

CONCLUSION

SGLT-2i, GLP-1RA, and DPP4i showed a superior efficacy in reducing the risk of new-onset AF/AFL compared to insulin therapy.

The one-year incidence of stroke in patients with atrial fibrillation in Jordan and its associated factors

Background

An elevated risk of stroke is linked to atrial fibrillation (AF). Effective care and prevention measures for individuals with AF require an understanding of the factors impacting the incidence of stroke in this population. Evidence regarding the incidence of stroke among patients with AF is insufficient in Jordan. This study aimed to determine the incidence of stroke and its associated factors among patients with AF in Jordan.

Methods

The Jordan Atrial Fibrillation Registry JoFib was used to identify a total of 2020 AF patients meeting the study inclusion and exclusion criteria. Demographics, clinical characteristics, and the CHA2DS2-VASc score-based evaluation of stroke risk were extracted from the registry.

Results

This study encompassed 2020 participants diagnosed with AF, with 925 (45.8%) being men and 1,095 (54.2%) women. The one-year stroke incidence among the 2020 AF patients was 3.4%. Notably, stroke incidence significantly increased with age (p = 0.04) and was associated with the history of stroke (7.4% vs. 2.7%), hypertension (3.9% vs. 1.9%), and diabetes (5.1% vs. 2.1%). In the multivariate analysis, diabetes (OR = 2.6, 95% CI: 1.5-4.4, p = 0.001) and history of stroke (OR = 2.6, 95% CI: 1.5-4.6, p = 0.001) were significantly associated with stroke incidence.

Conclusion

This study emphasizes Jordan's high stroke rate among AF patients. Diabetes and prior stroke history are associated with increased odds of stroke, like all stroke patients. These results highlight the necessity for specialized management strategies among AF patients and highlight the significance of thorough risk assessment and focused interventions to reduce stroke risk in AF patients.

The burden of atrial fibrillation/flutter in the Middle East and North Africa region and its associated risk factors from 1990 to 2019

BACKGROUND

Atrial fibrillation and flutter (AFF) are the most common cardiac arrhythmias globally, contributing to substantial morbidity and mortality. The Middle East and North Africa (MENA) region face unique challenges in managing cardiovascular diseases, including AFF, due to diverse sociodemographic factors and healthcare infrastructure variability. This study aims to comprehensively evaluate the burden of AFF in MENA from 1990 to 2019.

METHODS

Data were obtained from the Global Burden of Diseases Study 2019, a comprehensive source incorporating diverse data inputs. The study collected global, regional, and national Age-Standardized Incidence Rate (ASIR), Age-Standardized Mortality Rate (ASMR), and Age-Standardized Disability-Adjusted Rate (ASDR), Mortality across sex, age groups, and years. LOESS regression was employed to determine the relationship between age-standardized rates attributed to AFF and Socio-Demographic Index (SDI).

RESULTS

The study found minimal change in ASIR of AFF in MENA from 1990 to 2019, with a slight increase observed in ASMR and ASDR during the same period. Notably, AFF burden was consistently higher in females compared to males, with age showing a direct positive relationship with AFF burden. Iraq, Iran, and Turkey exhibited the highest ASIR, while Qatar, Bahrain, and Oman had the highest ASMR and ASDR in 2019. Conversely, Kuwait, Libya, and Turkey displayed the lowest ASMR and ASDR rates.

CONCLUSION

This study underscores the persistent burden of AFF in MENA and identifies significant disparities across countries. High systolic blood pressure emerged as a prominent risk factor for mortality in AFF patients. Findings provide crucial insights for policy-making efforts, resource allocation, and intervention strategies aimed at reducing the burden of cardiovascular diseases in the MENA region.

Life's Essential 8, Genetic Susceptibility, and Incident Cardiac Arrhythmias: A Population-Based Prospective Cohort Study

BACKGROUND

Ideal cardiovascular health (CVH) has been associated with reduced cardiovascular disease risk and mortality, but its association with cardiac arrhythmias was still unsettled. In this prospective cohort study, we investigated the relationship between CVH and subsequent arrhythmias risk, including atrial fibrillation (AF)/flutter, ventricular arrhythmias, and bradyarrhythmias.

METHODS

Data from 287,264 participants initially free of arrhythmias in the UK Biobank were included in the analysis. Cox regression models were used to examine the relationship between CVH levels calculated by the American Heart Association's Life's Essential 8 (LE8) metrics, with cardiac arrhythmias risk.

RESULTS

During a median follow-up period of 12.8 years, 16,802 incident AF, 2186 incident ventricular arrhythmias, and 4128 incident bradyarrhythmias were identified. After adjustment for confounding factors, participants with high initial CVH levels had significantly lower risks for AF (hazard ratio [HR], 0.63; 95% confidence interval [CI], 0.59-0.68), ventricular arrhythmias (HR, 0.48; 95% CI, 0.40-0.59), and bradyarrhythmias (HR, 0.64; 95% CI, 0.55-0.74) compared with those with low CVH levels. Furthermore, each standard deviation (SD) increase in LE8 scores was associated with a 15% lower risk of AF, 21% for ventricular arrhythmias, and 13% for bradyarrhythmias, respectively. In addition, a significant interaction was observed between CVH levels and the genetic risk of AF (P for interaction, 0.021). The reverse correlation seemed to be more noticeable in individuals with a lower genetic susceptibility to AF.

CONCLUSIONS

We concluded that higher levels of CVH, estimated by the LE8 metrics, were associated with significantly reduced risks of AF, ventricular arrhythmias, and bradyarrhythmias.

Meta-analysis of renin angiotensin aldosterone modulators mitigating Atrial Fibrillation risk in hypertensive patients

INTRODUCTION

Hypertension is associated with left ventricular hypertrophy/enlargement/fibrosis and atrial ectopic rhythm, leading to an increased risk of Atrial Fibrillation (AF). We aimed to stratify the effect of Angiotensin Converting Enzyme Inhibitors (ACEi) and Angiotensin Receptor Blockers (ARB) on the risk of AF.

METHODS

PubMed, Scopus, and Google Scholar databases were screened, and cross-citation was conducted for studies reporting AF in hypertensive patients on ACEi and ARB. Of 145 studies found till May 2023, 19 were included in this study. Binary random-effects models estimated the pooled odds ratios, I2 statistics assessed heterogeneity and sensitivity analysis was assessed using the leave-one-out method.

RESULTS

153,559 hypertensive patients met the inclusion criteria. For incidental AF, ACEi and ARB showed a significant decrease in both unadjusted (OR 0.75, 95% CI [0.66-0.85], I² = 20.79%, p=0.29) and adjusted risks (OR 0.76, 95% CI [0.62-0.93], I² = 88.41%, p<0.01). In recurrent AF, the unadjusted analysis showed no significant effect (OR 0.89, 95% CI [0.55-1.42], I² = 78.44%, p<0.01), while the adjusted analysis indicated a reduced risk (OR 0.62, 95% CI [0.50-0.76], I² = 65.71%, p<0.01). Leave-one-out sensitivity analysis confirmed these results.

CONCLUSIONS

ACEi and ARB considerably decrease the risk of incidental and recurrent AF in hypertensive patients, emphasizing the importance of treating clinical hypertension with these drugs.

Patients with atrial fibrillation and common exclusion criteria from clinical trials are at high risk of clinical events: the Murcia AF Project II (MAFP-II) cohort study

BACKGROUND

Some clinical characteristics and comorbidities in atrial fibrillation (AF) patients are exclusion criteria in randomized clinical trials (RCTs) investigating oral anticoagulants (OAC). However, these conditions are present also in everyday clinical practice patients. We compared the risk of adverse clinical outcomes between patients with and without RCT exclusion criteria.

METHODS

The Murcia AF Project II was an observational cohort study including AF outpatients starting vitamin K antagonists (VKAs) from July 2016 to June 2018. For the selection of the exclusion criteria, the four pivotal RCTs of direct-acting OAC (DOACs) were used as reference. During 2 years, all ischemic strokes/transient ischemic attacks, major adverse cardiovascular events (MACEs), major bleeds, and all-cause deaths were recorded.

RESULTS

1050 patients (51.5% female, median age 77 years) were included, of whom 368 (35%) met at least one exclusion criterion for RCTs. During follow-up, the incidence rate ratios for major bleeding, MACE and all-cause mortality were higher among patients with exclusion criteria (all p < 0.001). Patients fulfilling at least one exclusion criterion had increased risks of major bleeding (aHR 1.48; 95% CI 1.22-1.81; p < 0.001), MACE (aHR 1.51, 95% CI 1.10-2.09, p = 0.012), and mortality (aHR 3.22, 95% CI 2.32-4.48, p < 0.001), as well as a lower event-free survival (all log-rank p < 0.001).

CONCLUSIONS

In this AF cohort taking VKAs, more than one-third had at least one RCT exclusion criteria, which translates into higher risk of major bleeding, MACE, and death. These observations should be considered when translating RCTs results to AF patients for a proper and a more patient-centered management.

2024 Chinese Expert Consensus Guidelines on the Diagnosis and Treatment of Atrial Fibrillation in the Elderly, Endorsed by Geriatric Society of Chinese Medical Association (Cardiovascular Group) and Chinese Society of Geriatric Health Medicine (Cardiovascular branch): Executive Summary

The consensus guidelines of the Geriatric Society of Chinese Medical Association on the management of atrial fibrillation (AF) in the elderly was first published in 2011 and updated in 2016, with endorsement by Chinese Society of Geriatric Health Medicine. Since then, many important studies regarding the screening and treatment in the elderly population have been reported, necessitating this updated expert consensus guideline. The writing committee members comprehensively reviewed updated evidence pertaining to elderly patients with AF, and formulated this 2024 update. The highlighted issues focused on the following: screening for AF, geriatric comprehensive assessment, use of the Atrial fibrillation Better Care (ABC) pathway for the elderly patients, and special clinical settings related to elderly patients with AF. New recommendations addressing smart technology facilitated AF screening, ABC pathway based management, and optimal anticoagulation were developed, with a focus on the elderly.

Impact of Weight Gain on Cardiovascular Outcomes in Patients With Atrial Fibrillation

BACKGROUND

The long-term impact of weight gain (WG) on cardiovascular outcomes among patients with atrial fibrillation (AF) is unclear.

METHODS AND RESULTS

We studied 62 871 (mean age, 72±12, 43% women) adult patients with AF evaluated at the University of Pittsburgh Medical Center between January 1, 2010, and May 13, 2021. Serial body mass index, risk factors, comorbidities, and subsequent death and hospitalization were ascertained and stratified according to percentage WG (≥0% to <5%, ≥5% to <10%, and ≥10%). Over 4.9±3.19 years of follow-up, 27 114 (43%) patients gained weight (61%, ≥0% to <5%; 23%, ≥5% to <10%; 16%, ≥10%). Patients with progressive WG were incrementally younger (P<0.001) women (40%, 42%, and 47%) with lower median household income (P=0.002) and active smoking (8%, 13% and 13%), and they were less likely to be on a non-vitamin K oral anticoagulant (39%, 37%, and 32%). WG was incrementally associated with a significant increase in risk of hospitalization for AF (≥10% WG; hazard ratio [HR], 1.2 [95% CI, 1.2-1.3]; P<0.0001), heart failure (≥10% WG; HR, 1.44 [95% CI, 1.3-1.6]; P<0.001; ≥5% to <10% WG; HR, 1.17 [95% CI, 1.1-1.2]; P<0.001), myocardial infarction (≥10% WG; HR, 1.2 [95% CI, 1.3-1.6]; P<0.001) and all-cause stroke (4.2%, 4.3%, and 5.6%) despite significantly lower mean CHADS2Vasc score (2.9±1.7, 2.7±1.6, and 2.7±1.7). Patients with more WG were significantly more likely to receive cardiac and electrophysiologic interventions.

CONCLUSIONS

Among patients with AF, WG is incrementally associated with increased hospitalization for cardiovascular causes, particularly heart failure, stroke, myocardial infarction, and AF.

Direct oral anticoagulants for stroke prevention in patients with device-detected atrial fibrillation: assessing net clinical benefit

Subclinical, device-detected atrial fibrillation (AF) is frequently recorded by pacemakers and other implanted cardiac rhythm devices. Patients with device-detected AF have an elevated risk of stroke, but a lower risk of stroke than similar patients with clinical AF captured with surface electrocardiogram. Two randomized clinical trials (NOAH-AFNET 6 and ARTESiA) have tested a direct oral anticoagulant (DOAC) against aspirin or placebo. A study-level meta-analysis of the two trials found that treatment with a DOAC resulted in a 32% reduction in ischaemic stroke and a 62% increase in major bleeding; the results of the two trials were consistent. The annualized rate of stroke in the control arms was ∼1%. Several factors point towards overall net benefit from DOAC treatment for patients with device-detected AF. Strokes in ARTESiA were frequently fatal or disabling and bleeds were rarely lethal. The higher absolute rates of major bleeding compared with ischaemic stroke while on treatment with a DOAC in the two trials are consistent with the ratio of bleeds to strokes seen in the pivotal DOAC vs. warfarin trials in patients with clinical AF. Prior research has concluded that patients place a higher emphasis on stroke prevention than on bleeding. Further research is needed to identify the characteristics that will help identify patients with device-detected AF who will receive the greatest benefit from DOAC treatment.

Bibliometric analysis of atrial fibrillation and ion channels

Atrial fibrillation (AF) is a common clinical malignant arrhythmia with an increasing global incidence. Ion channel dysfunction is an important mechanism in the development of AF. In this study, we used bibliometrics to analyze the studies of ion channels and AF, aiming to provide inspiration and reference for researchers. A total of 3179 literature citations were obtained from Web of Science core databases. Analysis software included Excel 2019, VOSviewer 1.6.16, and CiteSpace 5.7.R2. This field of research has been growing since 1985. The most active country is the United States. The University of Montreal is the most important research institution. The journal Cardiovascular Research has published the largest number of articles in this field. Stanley Nattel and Dobromir Dobrev are the most frequently cited authors. The most cited literature was published in Nature and Science. Cardiac electrophysiology, gene expression, pathogenesis of AF, and AF prevention and treatment are the hot topics for this field research. Cardiac fibrillation and catheter ablation may be future research hotspots in this field.

Recent Advances in the Management of Non-rheumatic Atrial Fibrillation: A Comprehensive Review

Atrial fibrillation (AF) is a prevalent cardiac arrhythmia characterized by irregular atrial electrical activity, posing significant challenges to patient management and healthcare systems worldwide. Non-rheumatic AF, distinct from AF due to rheumatic heart disease, encompasses a spectrum of etiologies, including hypertension, coronary artery disease, and structural heart abnormalities. This review examines the latest advancements in managing non-rheumatic AF, encompassing diagnostic approaches, pharmacological therapies, and innovative non-pharmacological interventions. Diagnostic strategies ranging from traditional electrocardiography to advanced imaging modalities are explored alongside emerging biomarkers and wearable technologies facilitating early detection and management. Pharmacological management options, including novel anticoagulants and rhythm control agents, are evaluated in light of current guidelines and recent clinical trials. Non-pharmacological interventions, such as catheter ablation and device-based therapies, are discussed regarding their evolving techniques and outcomes. Special considerations for diverse patient populations, including elderly individuals and athletes, are addressed, emphasizing personalized approaches to optimize therapeutic outcomes. The review concludes with insights into future directions for AF management, highlighting promising avenues in gene therapy, regenerative medicine, and precision medicine approaches. By synthesizing recent research findings and clinical innovations, this review provides a comprehensive overview of the dynamic landscape of non-rheumatic AF management, offering insights for clinicians, researchers, and healthcare stakeholders.

Factor Xa Inhibitors versus warfarin in patients with morbid obesity and atrial fibrillation

PURPOSE

Factor Xa Inhibitors have emerged as a first-line agent in the management of non-valvular atrial fibrillation (NVAF), but there is a need for additional data surrounding their use in the morbidly obese population. The purpose of this study was to evaluate whether Factor Xa Inhibitors are as safe and effective as warfarin for the treatment of NVAF in individuals with a BMI ≥ 40 kg/m2 and/or weight ≥ 120 kg.

METHODS

This was a multi-center retrospective cohort study comparing the use of Factor Xa Inhibitors (apixaban and rivaroxaban) to warfarin for the management of NVAF in adult patients with a BMI ≥ 40 kg/m2 and/or weight ≥ 120 kg. The primary outcomes were stroke or systemic embolism and major bleeding within 12 months.

RESULTS

A total of 3,156 patients were included in the final analysis; 1,396 in the warfarin group and 1760 in the Factor Xa Inhibitor group. The mean weight and BMI of the overall cohort was 134.1 kg and 44.7 kg/m2, respectively. There was no difference in stroke or systemic embolism (OR 1.21, 95% CI 0.78-1.85) or major bleeding (OR 0.99, 95% CI 0.65 - 1.53) with Factor Xa Inhibitors compared to warfarin after controlling for covariates.

CONCLUSION

This analysis of real-world data suggests no difference in bleeding or thrombotic outcomes for severely obese patients with NVAF taking Factor Xa Inhibitors compared to warfarin. Overall, our study adds further data to support the use of Factor Xa Inhibitors as an alternative to warfarin in severely obese patients with NVAF.

Factors Associated With Fatigue in Persons With Atrial Fibrillation in the Atherosclerosis Risk in Communities (ARIC) Study

BACKGROUND

Atrial fibrillation (AF) is a common cardiac arrhythmia affecting over 6 million people in the U.S. Fatigue is a frequent symptom of AF, yet no underlying biological mechanisms have been identified in AF-related fatigue as in other chronic conditions such as cancer or HIV fatigue (inflammation, tissue injury). We aimed to identify biomarkers and correlates of AF-fatigue in ARIC participants.

METHODS

Participants with AF from ARIC visit 5 (2011-2013) were included in the study. Multiple linear regression was used to estimate the association of high sensitivity troponin (hs-TnT), N-terminal fragment B-type natriuretic peptide (NT-proBNP) and high sensitivity C-reactive protein (hsCRP) levels with self-reported fatigue (SF-12 and PROMIS Fatigue Scale), depressive symptoms (Center for Epidemiological Studies Depression survey), and physical functioning (Short Physical Performance Battery) scores. All biomarkers underwent natural-log transformation.

RESULTS

There were 446 participants (mean age: 78 y ± 5; 44% women). In adjusted analyses, NT-proBNP was associated with AF-fatigue (β: 0.11, 95% CI: 0.03, 0.19), increased depressive symptoms (β: 0.44, 95% CI: 0.19, 0.70), and decreased physical function (β: -0.48, 95% CI: -0.72, -0.23). Hs-TnT was also associated with elevated AF-fatigue (β: 0.24, 95% CI: 0.09, 0.39) along with decreased physical function (β: -1.19, 95% CI: -1.64, -0.75). No significant associations were found with hsCRP and fatigue.

CONCLUSION

Increased levels of cardiac injury biomarkers, depressive symptoms, and decreased physical function were associated with AF-fatigue. Inflammation was not associated with AF-fatigue; other physiological pathways, such as cardiac overload or myocardial injury may be more relevant in AF-fatigue.

Childhood maltreatment, genetic risk, and subsequent risk of arrhythmias: a prospective cohort study

Background: Emerging evidence has linked childhood maltreatment with cardiovascular disease risk; however, the association between childhood maltreatment and cardiac arrhythmias remains unclear. Moreover, any genetic predispositions to atrial fibrillation (AF), a common cardiac arrhythmia associated with an elevated risk of stroke, heart failure, and mortality, that modify such associations have been undocumented.Purpose: To examine the associations between childhood maltreatment and incident arrhythmias, and whether a genetic predisposition to arrhythmias modifies these associations.Methods: This prospective analysis included 151,741 participants from the UK Biobank (mean age 55.8 years, 43.4% male). Childhood maltreatment, including five types, was measured using the Childhood Trauma Screener (CTS). Incident arrhythmias (AF, ventricular arrhythmias [VA], and bradyarrhythmia [BA]) were documented through linked hospital admission and death registry. Weighted AF genetic risk score was calculated. Cox proportional hazard models were conducted to test for associations between childhood maltreatment and incident arrhythmias.Results: During a median follow-up of 12.21 years (interquartile range, 11.49-12.90 years), 6,588 AF, 2,093 BA, and 742 VA events occurred. Compared with the absence of childhood maltreatment, having 3-5 types of childhood maltreatment was associated with an increased risk of incident AF (HR, 1.23; 95%CI 1.09-1.37), VA (HR, 1.39; 95%CI 1.03-1.89), and BA (HR, 1.32; 95%CI 1.09-1.61) after adjusting demographic, socioeconomic and lifestyle factors. The associations between cumulative type of childhood maltreatment and the risk of AF (Poverall < .001; Pnonlinear = .674) and BA (Poverall = .007; Pnonlinear = .377) demonstrated a linear pattern. There was a gradient association between childhood maltreatment and AF risks across the intermediate and high genetic risk groups (both Ptrend < .05) but not within the low genetic risk group (Ptrend = .378), irrespective of non-significant interaction effect (Pinteraction = .204).Conclusion: Childhood maltreatment was associated with higher risks of incident arrhythmias, especially AF and BA. Genetic risk of AF did not modify these associations.

Understanding the Electrical Substrates Contributing to "Ablation-Resistant" Atrial Fibrillation?

Atrial fibrillation (AF) was largely ignored by cardiac electrophysiologists until it was first suggested in 1998 that it might be amenable to catheter ablation. In the 25 years since then, a vast body of knowledge has emerged, initially reporting the "hypes and hopes" that ablation was appropriate for all but more recently acknowledging that not all patients benefit from this approach. The AF "epidemic" and more holistic understanding of the complex contributors to its development question whether it is even meaningful to consider AF a single condition that is always responsive to ablation management. In this issue, Masuda et al11 provide novel insights into the electrophysiologic "footprints" that they found in the body of the left atrium of patients who underwent a second ablation procedure after achieving pulmonary vein isolation. In conclusion, the findings require prospective validation but may show a way of achieving antiarrhythmic success in a cohort of patients responding unpredictably to current ablation strategies.

Prognostic Impact of Body Mass Index in Atrial Fibrillation

Background/Objectives: Contradictory results have been reported regarding the influence of obesity on the prognosis of atrial fibrillation (AF). The present study aimed to explore the potential association of body mass index (BMI) with the clinical outcomes of hospitalized patients with AF. Methods: In this retrospective, post hoc analysis of the MISOAC-AF randomized trial, 1113 AF patients were included and stratified as the following: underweight (BMI < 18 kg/m2), normal weight (BMI 18-24.9 kg/m2), overweight (BMI 25-29.9 kg/m2), and obese (BMI ≥ 30 kg/m2). The primary outcome was all-cause mortality; the secondary composite outcome was any hospitalization related to AF, heart failure (HF), or stroke. Cox regression analysis, survival analysis, and spline curve models were utilized. Results: Of the patients (median age: 76 years (IQR: 13), male: 54.6%), the majority were overweight (41.4%), followed by obese (33%), normal weight (24%), and underweight (1.6%). During a median 31-month follow-up, 436 (39.2%) patients died and 657 (59%) were hospitalized due to AF, HF, or stroke. Underweight, overweight, and obesity groups were significantly associated with an increased risk of all-cause mortality (p-values 0.02, 0.001, and <0.001, respectively), while overweight and obesity were significantly associated with the composite endpoint (p-values 0.01, <0.001, respectively) compared to normal weight. The spline curve analyses yielded that BMIs > 26.3 and > 25 were incrementally associated with all-cause mortality and the composite endpoint, respectively. A J-shaped relationship between BMI and AF prognosis was deduced. Conclusions: In conclusion, in recently hospitalized AF patients, BMI values outside the normal range were independently associated with poorer prognosis; therefore, it is essential that AF patients maintain a normal weight.

Clinical Impact of Early Rhythm Control and Healthy Lifestyles in Patients With Atrial Fibrillation

BACKGROUND

There are limited data regarding the combined effect of early rhythm control (ERC) and healthy lifestyle (HLS) behaviors on the risk of ischemic stroke in patients with atrial fibrillation (AF).

OBJECTIVES

This study sought to evaluate how the combination of ERC and HLS behaviors affects the risk of ischemic stroke in patients with AF.

METHODS

Using the Korean National Health Insurance database, we included patients with new-onset AF between 2009 and 2016 (n = 208,662). Patients who received rhythm control therapy within 2 years after AF diagnosis were defined as the ERC group. Patients with ≥2 HLS behaviors were defined as the HLS group. Patients were categorized into 4 groups: group 1, without ERC and without HLS (n = 46,972); group 2, with HLS alone (n = 110,479); group 3, with ERC alone (n = 15,133); and group 4, with both ERC and HLS (n = 36,078). The primary outcome was ischemic stroke.

RESULTS

Compared to group 1, group 2 and group 3 were associated with a lower risk of stroke (HR: 0.769 [95% CI: 0.728-0.881] and HR: 0.774 [95% CI: 0.703-0.852], respectively). Group 4 showed the lowest risk of stroke (HR: 0.575; 95% CI: 0.536-0.617). After propensity score weighting, the incorporation of additional ERC alongside HLS was associated with a relative risk reduction of 22% for stroke, and additional HLS alongside ERC were associated with a relative risk reduction of 27% for stroke.

CONCLUSIONS

Each of ERC and HLS might reduce the risk of ischemic stroke in patients with new-onset AF. The presence of both ERC and HLS is associated with an enhanced benefit for stroke prevention in this population.

Comparative analysis of the clinical features of nonvalvular atrial fibrillation among Tibetan, Han, and Hui patients in Qinghai Province, China

BACKGROUND

Global nonvalvular AF rises, impacting health severely. In Qinghai, China's diverse setting, studying AF among varied ethnic groups is crucial OBJECTIVES: The purpose of this study was to compares cardiac features in AF among Tibetan, Han, and Hui patients to develop tailored prevention and treatment strategies for this region, the goal was to enhance the understanding of AF and provide an empirical basis for developing prevention and treatment strategies specific to this region METHODS: This study included a total of 3445 Tibetan, Han, and Hui patients diagnosed with nonvalvular atrial fibrillation and treated at the Qinghai Cardiovascular and Cerebrovascular Specialist Hospital, China, between January 2019 and January 2021. We analyzed the differences in cardiac structure, comorbidities, and other influencing factors among the different ethnic groups RESULTS: We found significant differences in gender, age, smoking history, lone atrial fibrillation, left heart failure, dilated cardiomyopathy, and diabetes between Tibetan, Han, and Hui patients (P < 0.05). Tibetan, Han, and Hui patients also differed with regard to left ventricular end-diastolic volume, left ventricular ejection fraction, fractional shortening, NT-proBNP, glycated hemoglobin, red blood cell distribution width, platelet count, platelet hematocrit, platelet distribution width, homocysteine (Hcy), C-reactive protein, and superoxide dismutase (SOD) (P < 0.05) CONCLUSION: Our study revealed variations in comorbidities, cardiac structure, and blood indexes among Tibetan, Han, and Hui AF patients, highlighting distinct patterns in complications and biomarker levels across ethnic groups.

Obesity as a risk factor in atrial fibrillation and heart failure

Objectives

The aim of this article is to provide an insight into the role of obesity as a risk factor, and as a potential etiologic agent of atrial fibrillation (AF) and heart failure (HF).

Methods

A narrative (non-systematic) review article summarizing currently available data regarding the interaction between obesity, AF and HF.

Results

Obesity is considered a risk factor of AF and chronic HF. Multiple recent studies indicate that obesity is also a potential causal factor in the development of AF and HF, the elucidation of pathological mechanisms of which could help devise new diagnostic and therapeutic modalities for these conditions. The discussion about obesity in relation to HF cannot omit the so-called obesity paradox, which represents a dilemma for clinicians, and it is still a source of irregularities regarding the strategy of weight reduction in obese patients with HF. Recently, the obesity paradox has also been assumed to play a role in the relationship between obesity and thromboembolic complications of AF.

Conclusions

Obesity is an independent and modifiable risk factor for AF and HF. In addition, there is an increasing volume of experimental and clinical data that suggests an important role of the epicardial adipose tissue in the pathophysiology of AF. However, several issues, such as the issue of optimal pharmacotherapy and weight reduction strategy in obese patients with HF remains still unanswered, and open for future investigation.

Clinical Outcomes in Metabolically Healthy and Unhealthy Obese and Overweight Patients With Atrial Fibrillation: Findings From the GLORIA-AF Registry

OBJECTIVE

To explore the association between metabolic status, body mass index (BMI), and natural history of patients with atrial fibrillation (AF).

METHODS

The global, prospective GLORIA-AF Registry Phase II and III included patients with recent diagnosis of AF between November 2011 and December 2014 for Phase II and between January 2014 and December 2016 for Phase III. With this analysis, we categorized patients with AF according to BMI (normal weight [18.5 to 24.9 kg/m2], overweight [25.0 to 29.9 kg/m2], obese [30.0 to 60.0 kg/m2]) and metabolic status (presence of hypertension, diabetes, and hyperlipidemia). We analyzed risk of major outcomes using multivariable Cox regression analyses; the primary outcome was the composite of all-cause death and major adverse cardiovascular events.

RESULTS

There were 24,828 (mean age, 70.1±10.3 years; 44.6% female) patients with AF included. Higher BMI was associated with metabolically unhealthy status and higher odds of receiving oral anticoagulants and other treatments. Normal-weight unhealthy patients showed a higher risk of the primary composite outcome (adjusted hazard ratio [aHR], 1.20; 95% CI, 1.01 to 1.42) and thromboembolism, whereas a lower risk of cardiovascular death (aHR, 0.35; 95% CI, 0.14 to 0.88) and major adverse cardiovascular events (aHR, 0.56; 95% CI, 0.33 to 0.93) was observed in metabolically healthy obese individuals. Unhealthy metabolic groups were also associated with increased risk of major bleeding (aHR, 1.51 [95% CI, 1.04 to 2.20] and aHR, 1.96 [95% CI, 1.34 to 2.85] in overweight and obese groups, respectively).

CONCLUSION

Increasing BMI was associated with poor metabolic status and with more intensive treatment. Prognosis was heterogeneous between BMI groups, with metabolically unhealthy patients showing higher risk of adverse events.

Risk calculator for incident atrial fibrillation across a range of prediction horizons

BACKGROUND

The increasing burden of atrial fibrillation (AF) emphasizes the need to identify high-risk individuals for enrolment in clinical trials of AF screening and primary prevention. We aimed to develop prediction models to identify individuals at high-risk of AF across prediction horizons from 6-months to 10-years.

METHODS

We used secondary-care linked primary care electronic health record data from individuals aged ≥30 years without known AF in the UK Clinical Practice Research Datalink-GOLD dataset between January 2, 1998 and November 30, 2018; randomly divided into derivation (80%) and validation (20%) datasets. Models were derived using logistic regression from known AF risk factors for incident AF in prediction periods of 6 months, 1-year, 2-years, 5-years, and 10-years. Performance was evaluated using in the validation dataset with bootstrap validation with 200 samples, and compared against the CHA2DS2-VASc and C2HEST scores.

RESULTS

Of 2,081,139 individuals in the cohort (1,664,911 in the development dataset, 416,228 in the validation dataset), the mean age was 49.9 (SD 15.4), 50.7% were women, and 86.7% were white. New cases of AF were 7,386 (0.4%) within 6 months, 15,349 (0.7%) in 1 year, 38,487 (1.8%) in 5 years, and 79,997 (3.8%) by 10 years. Valvular heart disease and heart failure were the strongest predictors, and association of hypertension with AF increased at longer prediction horizons. The optimal risk models incorporated age, sex, ethnicity, and 8 comorbidities. The models demonstrated good-to-excellent discrimination and strong calibration across prediction horizons (AUROC, 95%CI, calibration slope: 6-months, 0.803, 0.789-0.821, 0.952; 1-year, 0.807, 0.794-0.819, 0.962; 2-years, 0.815, 0.807-0.823, 0.973; 5-years, 0.807, 0.803-0.812, 1.000; 10-years 0.780, 0.777-0.784, 1.010), and superior to the CHA2DS2-VASc and C2HEST scores. The models are available as a web-based FIND-AF calculator.

CONCLUSIONS

The FIND-AF models demonstrate high discrimination and calibration across short- and long-term prediction horizons in 2 million individuals. Their utility to inform trial enrolment and clinical decisions for AF screening and primary prevention requires further study.

Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association

Wearable devices are increasingly used by a growing portion of the population to track health and illnesses. The data emerging from these devices can potentially transform health care. This requires an interoperability framework that enables the deployment of platforms, sensors, devices, and software applications within diverse health systems, aiming to facilitate innovation in preventing and treating cardiovascular disease. However, the current data ecosystem includes several noninteroperable systems that inhibit such objectives. The design of clinically meaningful systems for accessing and incorporating these data into clinical workflows requires strategies to ensure the quality of data and clinical content and patient and caregiver accessibility. This scientific statement aims to address the best practices, gaps, and challenges pertaining to data interoperability in this area, with considerations for (1) data integration and the scope of measures, (2) application of these data into clinical approaches/strategies, and (3) regulatory/ethical/legal issues.

Enhancing Treatment Outcomes in Atrial Fibrillation: A Contemporary Literature Review of the Impact of Optimizing Patient Well-Being in Treatment Management

Atrial fibrillation (AF) is the most common heart rhythm disorder, defined by an irregular and rapid heartbeat. It is the most prevalent cardiac arrhythmia in the United States, characterized by irregular heartbeats due to asynchrony between atrial and ventricular contractions. AF can be categorized as paroxysmal or persistent and, as such, poses significant health risks, including heart failure and stroke. Factors like age, sex, lifestyle, and existing health conditions elevate AF risk. There have been a lot of debates around AF risk management and its impact on prognosis. This literature review aims to explore the influence of addressing modifiable risk factors in AF patients on its morbidity and mortality, exploring various treatment options and their effectiveness. Current guidelines suggest rate control and anticoagulation for persistent AF with medications like beta blockers and non-vitamin K oral anticoagulants. Catheter ablation for rhythm control is contentious. Studies on supplemental treatments, lifestyle changes, and managing comorbidities show mixed results, necessitating further research for comprehensive treatment effectiveness in AF patients, which this literature review will discuss.

Metabolic remodelling in atrial fibrillation: manifestations, mechanisms and clinical implications

Atrial fibrillation (AF) is a continually growing health-care burden that often presents together with metabolic disorders, including diabetes mellitus and obesity. Current treatments often fall short of preventing AF and its adverse outcomes. Accumulating evidence suggests that metabolic disturbances can promote the development of AF through structural and electrophysiological remodelling, but the underlying mechanisms that predispose an individual to AF are aetiology-dependent, thus emphasizing the need for tailored therapeutic strategies to treat AF that target an individual's metabolic profile. AF itself can induce changes in glucose, lipid and ketone metabolism, mitochondrial function and myofibrillar energetics (as part of a process referred to as 'metabolic remodelling'), which can all contribute to atrial dysfunction. In this Review, we discuss our current understanding of AF in the setting of metabolic disorders, as well as changes in atrial metabolism that are relevant to the development of AF. We also describe the potential of available and emerging treatment strategies to target metabolic remodelling in the setting of AF and highlight key questions and challenges that need to be addressed to improve outcomes in these patients.

Metformin reduces new-onset atrial fibrillation risk rather than atrial fibrillation burden in type 2 diabetes patients: A case-control study

Background

The effects of metformin on atrial fibrillation (AF) in type 2 diabetes patients remain unclear. We aimed to explore the effects of metformin on AF, including new-onset AF and AF burden, in type 2 diabetes patients with pacemakers.

Methods and results

This retrospective study included a total of 227 patients. Based on the presence of paroxysmal AF, the patients were divided into a paroxysmal AF group (n = 80) and a non-AF group (n = 147). In the non-AF group, a significant association was observed between metformin use and a lower risk of new-onset AF in multivariable Cox hazards models (hazard ratio [HR]: 0.36; 95 % confidence interval [CI]: 0.14-0.91; p = 0.0311*) when adjusted for age, sex, body mass index (BMI), drinking, smoking, left atrial dimension, creatinine, complications, and drugs. In the paroxysmal AF group, univariable analysis indicated no association between the AF burden and metformin use (p = 0.817). Furthermore, when adjusted for metformin use, age, sex, BMI, drinking, smoking, cardiovascular disease, myocardial infarction, heart failure, stroke, and ejection fraction in multivariable Cox hazards models, we found a lower proportion of major adverse cardiovascular events (MACEs) both in the total (HR: 0.28; 95 % CI: 0.1-0.82; p = 0.0202*) and the non-AF group (HR: 0.19; 95 % CI: 0.05-0.79; p = 0.0223*) compared to that in the AF group (HR: 0.31; 95 % CI: 0.02-4.41; p = 0.3879).

Conclusion

In type 2 diabetes patients with pacemakers, metformin reduced the probability of new-onset AF instead of addressing the AF burden. Furthermore, metformin therapy decreased the incidence of MACEs in type 2 diabetes patients without AF.

Modifiable lifestyle factors and lifetime risk of atrial fibrillation: longitudinal data from the Korea NHIS-HealS and UK Biobank cohorts

BACKGROUND

The reason for higher incidence of atrial fibrillation (AF) in Europe compared with East Asia is unclear. We aimed to investigate the association between modifiable lifestyle factors and lifetime risk of AF in Europe and East Asia, along with race/ethnic similarities and disparities.

METHODS

1:1 propensity score matched pairs of 242,763 East Asians and 242,763 White Europeans without AF were analyzed. Modifiable lifestyle factors considered were blood pressure, body mass index, cigarette smoking, diabetes, alcohol consumption, and physical activity, categorized as non-adverse or adverse levels. Lifetime risk of AF was estimated from the index age of 45 years to the attained age of 85 years, accounting for the competing risk of death.

RESULTS

The overall lifetime risk of AF was higher in White Europeans than East Asians (20.9% vs 15.4%, p < 0.001). The lifetime risk of AF was similar between the two races in individuals with non-adverse lifestyle factor profiles (13.4% vs 12.9%, p = 0.575), whereas it was higher in White Europeans with adverse lifestyle factor profiles (22.1% vs 15.8%, p < 0.001). The difference in the lifetime risk of AF between the two races increased as the burden of adverse lifestyle factors worsened (1 adverse lifestyle factor; 4.3% to ≥ 3 adverse lifestyle factors; 11.2%). Compared with East Asians, the relative risk of AF in White Europeans was 23% and 62% higher for one (hazard ratio [HR] 1.23, 95% confidence interval [CI] 1.16-1.29) and ≥ 3 adverse lifestyle factors (HR 1.62, 95% CI 1.51-1.75), respectively.

CONCLUSIONS

The overall higher lifetime risk of AF in White Europeans compared with East Asians might be attributable to adverse lifestyle factors. Adherence to healthy lifestyle factors was associated with the lifetime risk of AF of about 1 in 8 regardless of race/ethnicity.

Cardiovascular safety of testosterone replacement therapy in men: an updated systematic review and meta-analysis

INTRODUCTION

The cardiovascular (CV) safety of testosterone (T) replacement therapy (TRT) is still conflicting. Recent data suggested a TRT-related increased risk of atrial fibrillation (AF). The aim of this study was to systematic review and meta-analyze CV risk related to TRT as derived from placebo controlled randomized trials (RCTs).

AREAS COVERED

An extensive Medline, Embase, and Cochrane search was performed. All placebo-controlled RCTs reporting data on TRT-related CV safety were considered. To better analyze the role of T on AF, population-based studies investigating the relationship between endogenous circulating T levels and AF incidence were also included and analyzed.

EXPERT OPINION

Out of 3.615, 106 studies were considered, including 8.126 subjects treated with TRT and 7.310 patients allocated to placebo. No difference between TRT and placebo was observed when major adverse CV events were considered. Whereas the incidence of non-fatal arrhythmias and AF was increased in the only trial considering CV safety as the primary endpoint, this was not confirmed when all other studies were considered (MH-OR 1.61[0.84;3.08] and 1.44[0.46;4.46]). Similarly, no relationship between endogenous T levels and AF incidence was observed after the adjustment for confounders Available data confirm that TRT is safe and it is not related to an increased CV risk.

Mortality, Hospitalization, and Cardiac Interventions in Patients With Atrial Fibrillation Aged <65 Years

BACKGROUND

The risk factor (RF) burden, clinical course, and long-term outcome among patients with atrial fibrillation (AF) aged <65 years is unclear.

METHODS

Adult (n=67 221; mean age, 72.4±12.3 years; and 45% women) patients with AF evaluated at the University of Pittsburgh Medical Center between January 2010 and December 2019 were studied. Hospital system-wide electronic health records and administrative data were utilized to ascertain RFs, comorbidities, and subsequent hospitalization and cardiac interventions. The association of AF with all-cause mortality among those aged <65 years was analyzed using an internal contemporary cohort of patients without AF (n=918 073).

RESULTS

Nearly one-quarter (n=17 335) of the cohort was aged <65 years (32% women) with considerable cardiovascular RFs (current smoker, 16%; mean body mass index, 33.0±8.3; hypertension, 55%; diabetes, 21%; heart failure, 20%; coronary artery disease, 19%; and prior ischemic stroke, 6%) and comorbidity burden (chronic obstructive pulmonary disease, 11%; obstructive sleep apnea, 18%; and chronic kidney disease, 1.3%). Over mean follow-up of >5 years, 2084 (6.7%, <50 years; 13%, 50-65 years) patients died. The proportion of patients with >1 hospitalization for myocardial infarction, heart failure, and stroke was 1.3%, 4.8%, and 1.1% for those aged <50 years and 2.2%, 7.4%, and 1.1% for the 50- to 65-year subgroup, respectively. Multiple cardiac and noncardiac RFs were associated with increased mortality in younger patients with AF with heart failure and hypertension demonstrating significant age-related interaction (P=0.007 and P=0.013, respectively). Patients with AF aged <65 years experienced significantly worse survival compared with comorbidity-adjusted patients without AF (men aged <50 years and hazard ratio, 1.5 [95% CI, 1.24-1.79]; 50-65 years and hazard ratio, 1.3 [95% CI, 1.26-1.43]; women aged <50 years and hazard ratio, 2.4 [95% CI, 1.82-3.16]; 50-65 years and hazard ratio, 1.7 [95% CI, 1.6-1.92]).

CONCLUSIONS

Patients with AF aged <65 years have significant comorbidity burden and considerable long-term mortality. They are also at a significantly increased risk of hospitalization for heart failure, stroke, and myocardial infarction. These patients warrant an aggressive focus on RF and comorbidity evaluation and management.

Periodontal Treatment During the Blanking Period Improves the Outcome of Atrial Fibrillation Ablation

BACKGROUND

Periodontitis has not been recognized as a modifiable risk factor for atrial fibrillation (AF). This prospective nonrandomized study investigated whether periodontal treatment improves the AF ablation outcome.

METHODS AND RESULTS

We prospectively enrolled 288 AF patients scheduled to undergo initial radiofrequency catheter ablation. Each patient underwent periodontal inflamed surface area (PISA; a quantitative index of periodontal inflammation) measurement. All eligible patients were recommended to receive periodontal treatment within the blanking period, and 97 consented. During the mean follow-up period of 507±256 days, 70 (24%) AF recurrences were documented. Patients who exhibited AF recurrences had a higher PISA than those who did not (456.8±403.5 versus 277.7±259.0 mm2, P=0.001). These patients were categorized into high-PISA (>615 mm2) and low-PISA (<615 mm2) groups according to the receiver operating characteristic analysis for AF recurrence (area under the curve, 0.611; sensitivity, 39%; specificity, 89%). A high PISA, as well as female sex, AF duration, and left atrial volume, were the statistically significant predicter for AF recurrence (hazard ratio [HR], 2.308 [95% CI, 1.234-4.315]; P=0.009). In patients with a high PISA, those who underwent periodontal treatment showed significantly fewer AF recurrences (P=0.01, log-rank test). The adjusted HR of periodontal treatment for AF recurrence was 0.393 (95% CI, 0.215-0.719; P=0.002).

CONCLUSIONS

Periodontitis may serve as a modifiable risk factor for AF. PISA is a hallmark of AF recurrence, and periodontal treatment improves the AF ablation outcome, especially for those with poor periodontal condition.

Prediction of atrial fibrillation and stroke using machine learning models in UK Biobank

Objective

Atrial fibrillation (AF) is the most common cardiac arrythmia, and it is associated with increased risk for ischemic stroke, which is underestimated, as AF can be asymptomatic. The aim of this study was to develop optimal ML models for prediction of AF in the population, and secondly for ischemic stroke in AF patients.

Methods

To develop ML models for prediction of 1) AF in the general population and 2) ischemic stroke in patients with AF we constructed XGBoost, LightGBM, Random Forest, Deep Neural Network, Support Vector Machine and Lasso penalised logistic regression models using UK-Biobank's extensive real-world clinical data, questionnaires, as well as biochemical and genetic data, and their predictive performances were compared. Ranking and contribution of the different features was assessed by SHapley Additive exPlanations (SHAP) analysis. The clinical tool CHA2DS2-VASc for prediction of ischemic stroke among AF patients, was used for comparison to the best performing ML model.

Findings

The best performing model for AF prediction was LightGBM, with an area-under-the-roc-curve (AUROC) of 0.729 (95% confidence intervals (CI): 0.719, 0.738). The best performing model for ischemic stroke prediction in AF patients was XGBoost with AUROC of 0.631 (95% CI: 0.604, 0.657). The improved AUROC in the XGBoost model compared to CHA2DS2-VASc was statistically significant based on DeLong's test (p-value = 2.20E-06). In addition, the SHAP analysis showed that several peripheral blood biomarkers (e.g. creatinine, glycated haemoglobin, monocytes) were associated with ischemic stroke, which are not considered by CHA2DS2-VASc.

Implications

The best performing ML models presented have the potential for clinical use, but further validation in independent studies is required. Our results endorse the incorporation of some routinely measured blood biomarkers for ischemic stroke prediction in AF patients.

Genetically predicted dietary macronutrient intakes and atrial fibrillation risk: a Mendelian randomization study

BACKGROUND AND AIM

Previous observational investigations have indicated a potential association between relative dietary macronutrient intakes and atrial fibrillation and flutter (AF) risk. In this study, we employed Mendelian Randomization (MR) to evaluate the presence of causality and to elucidate the specific causal relationship.

METHODS

We employed six, five, and three single nucleotide polymorphisms (SNPs) as instrumental variables for relative carbohydrate, protein, and fat intake, identified from a genome-wide association study that included 268,922 individuals of European descent. Furthermore, we acquired summary statistics for genome-wide association studies on AF from the FinnGen consortium, which involved 22,068 cases and 116,926 controls. To evaluate the causal estimates, we utilized the random effect inverse variance weighted method (IVW) and several other MR methods, including MR-Egger, weighted median, and MR-PRESSO, to confirm the robustness of our findings.

RESULTS

Our analysis indicates a convincing causal relationship between genetically predicted relative carbohydrate and protein intake and reduced AF risk. Inverse variance weighted analysis results for carbohydrates (OR = 0.29; 95% CI (0.14, 0.59); P < 0.001) and protein (OR = 0.47; 95% CI (0.26, 0.85); P = 0.01) support this association. Our MR analysis did not identify a significant causal relationship between relative fat intake and AF risk.

CONCLUSION

Our study provides evidence supporting a causal relationship between higher relative protein and carbohydrate intake and a lower risk of atrial fibrillation (AF).

Development and Validation of Machine Learning Algorithms to Predict 1-Year Ischemic Stroke and Bleeding Events in Patients with Atrial Fibrillation and Cancer

In this study, we leveraged machine learning (ML) approach to develop and validate new assessment tools for predicting stroke and bleeding among patients with atrial fibrillation (AFib) and cancer. We conducted a retrospective cohort study including patients who were newly diagnosed with AFib with a record of cancer from the 2012-2018 Surveillance, Epidemiology, and End Results (SEER)-Medicare database. The ML algorithms were developed and validated separately for each outcome by fitting elastic net, random forest (RF), extreme gradient boosting (XGBoost), support vector machine (SVM), and neural network models with tenfold cross-validation (train:test = 7:3). We obtained area under the curve (AUC), sensitivity, specificity, and F2 score as performance metrics. Model calibration was assessed using Brier score. In sensitivity analysis, we resampled data using Synthetic Minority Oversampling Technique (SMOTE). Among 18,388 patients with AFib and cancer, 523 (2.84%) had ischemic stroke and 221 (1.20%) had major bleeding within one year after AFib diagnosis. In prediction of ischemic stroke, RF significantly outperformed other ML models [AUC (0.916, 95% CI 0.887-0.945), sensitivity 0.868, specificity 0.801, F2 score 0.375, Brier score = 0.035]. However, the performance of ML algorithms in prediction of major bleeding was low with highest AUC achieved by RF (0.623, 95% CI 0.554-0.692). RF models performed better than CHA2DS2-VASc and HAS-BLED scores. SMOTE did not improve the performance of the ML algorithms. Our study demonstrated a promising application of ML in stroke prediction among patients with AFib and cancer. This tool may be leveraged in assisting clinicians to identify patients at high risk of stroke and optimize treatment decisions.

The Cost of Atrial Fibrillation: A Systematic Review

OBJECTIVES

Atrial fibrillation (AF) is the most common cardiac arrhythmia, with an increasing incidence and prevalence because of progressively aging populations. Costs related to AF are both direct and indirect. This systematic review aims to identify the main cost drivers of the illness, assess the potential economic impact resulting from changes in care strategies, and propose interventions where they are most needed.

METHODS

A systematic literature search of the PubMed and Scopus databases was performed to identify analytical observational studies defining the cost of illness in cases of AF. The search strategy was based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 recommendations.

RESULTS

Of the 944 articles retrieved, 24 met the inclusion criteria. These studies were conducted in several countries. All studies calculated the direct medical costs, whereas 8 of 24 studies assessed indirect costs. The median annual direct medical cost per patient, considering all studies, was €9409 (13 333 US dollars in purchasing power parities), with a very large variability due to the heterogeneity of different analyses. Hospitalization costs are generally the main cost drivers. Comorbidities and complications, such as stroke, considerably increase the average annual direct medical cost of AF.

CONCLUSIONS

In most of the analyzed studies, inpatient care cost represents the main component of the mean direct medical cost per patient. Stroke and heart failure are responsible for a large share of the total costs; therefore, implementing guidelines to manage comorbidities in AF is a necessary step to improve health and mitigate healthcare costs.

Benefit and risk of oral anticoagulant initiation strategies in patients with atrial fibrillation and cancer: a target trial emulation using the SEER-Medicare database

Oral anticoagulants (OACs) are recommended for patients with atrial fibrillation (AFib) having CHA2DS2-VASc score ≥ 2. However, the benefits of OAC initiation in patients with AFib and cancer at different levels of CHA2DS2-VASc is unknown. We included patients with new AFib diagnosis and a record of cancer (breast, prostate, or lung) from the 2012-2019 Surveillance, Epidemiology, and End Results (SEER)-Medicare database (n = 39,915). Risks of stroke and bleeding were compared between 5 treatment strategies: (1) initiated OAC when CHA2DS2-VASc ≥ 1 (n = 6008), (2) CHA2DS2-VASc ≥ 2 (n = 8694), (3) CHA2DS2-VASc ≥ 4 (n = 20,286), (4) CHA2DS2-VASc ≥ 6 (n = 30,944), and (5) never initiated OAC (reference group, n = 33,907). Confounders were adjusted using inverse probability weighting through cloning-censoring-weighting approach. Weighted pooled logistic regressions were used to estimate treatment effect [hazard ratios (HRs) and 95% confidence interval (95% CIs)]. We found that only patients who initiated OACs at CHA2DS2-VASc ≥ 6 had lower risk of stroke compared without OAC initiation (HR 0.64, 95% CI 0.54-0.75). All 4 active treatment strategies had reduced risk of bleeding compared to non-initiators, with OAC initiation at CHA2DS2-VASc ≥ 6 being the most beneficial strategy (HR = 0.49, 95% CI 0.44-0.55). In patients with lung cancer or regional/metastatic cancer, OAC initiation at any CHA2DS2-VASc level increased risk of stroke and did not reduce risk of bleeding (except for Regimen 4). In conclusion, among cancer patients with new AFib diagnosis, OAC initiation at higher risk of stroke (CHA2DS2-VASc score ≥ 6) is more beneficial in preventing ischemic stroke and bleeding. Patients with advanced cancer or low life-expectancy may initiate OACs when CHA2DS2-VASc score ≥ 6.