Cognitive impairment in patients with atrial fibrillation: Implications for outcome in a cohort study

Exploring the Link between Anticoagulation, Cognitive Impairment and Dementia in Atrial Fibrillation: A Systematic Review

Background: The impact of oral anticoagulants (OACs) on cognitive impairment and dementia in patients with atrial fibrillation (AF) is not well characterized. This systematic review aims to address this knowledge gap. Methods: SCOPUS and PubMed searches were conducted to identify articles in the English language investigating the association between the use of OACs and cognitive impairment and dementia. We excluded non-original research studies and studies that did not report data on cognitive impairment or included patients who underwent open heart surgery or had psychiatric illnesses or cancer. Results: Out of 22 studies (n = 606,404 patients), 13 studies (n = 597,744 patients) reported a reduction in cognitive impairment/dementia in those undergoing thromboprophylaxis. Using direct oral anticoagulants (DOACs) was associated with a lower incidence of cognitive impairment in 10 studies (n = 284,636 patients). One study found that patients undergoing dual therapy (n = 6794 patients) had a greater incidence of cognitive impairment compared to those undergoing monotherapy (n = 9994 patients). Three studies (n = 61,991 patients) showed that AF patients on DOACs had a lower likelihood of dementia diagnosis than those on vitamin K antagonists (VKAs). Dementia incidence was lower when VKAs were under good control. Conclusions: The use of oral anticoagulants has the potential to prevent cognitive impairment and dementia in patients with AF. Since most of the published research on this subject is observational in nature, more randomized controlled trials are needed to fully understand the effect of anticoagulants on cognitive function.

Increased risk of dementia differs across cardiovascular diseases and types of dementia - Data from a nationwide study

AIMS

Dementia is a major health problem. Cardiovascular diseases (CVD) and risk factors are associated with incident dementia. However, whether there is an association among CVD, Alzheimer's disease (AD) and vascular dementia (VD) at the population level remains unclear.

METHODS

We analysed the association between CVD (heart failure [HF], atrial fibrillation [AF], myocardial infarction [MI], peripheral arterial disease, stroke and transient ischemic attack) and the incidence of dementia using nationwide FinnGen data of 218,192 individuals. The last follow-up information on dementia was available from October 2021.

RESULTS

The age at the end of the follow-up was 61.7 ± 17.1 years, and 53% were women. Overall, we observed 9701 (4.4%) dementia, 6323 (2.9%) AD and 1918 (0.7%) VD cases. Individuals with CVD had a higher risk of developing dementia than unexposed individuals. In the multivariable-adjusted Cox models, stroke was most strongly associated with dementia (hazard ratio [HR] 1.7, 95% confidence interval [CI] 1.6-1.8). CVD was more strongly associated with VD than with AD. Individuals with HF and MI had an increased risk of AD (HF: HR 1.11, 95% CI 1.04-1.19; MI: HR 1.10, 95% CI 1.02-1.18). AF was associated with VD (HR 1.58, 95% CI 1.42-1.77), but not with AD (HR 1.03, 95% CI 0.97-1.09). Clinical characteristics, such as diabetes, smoking and alcohol abuse, were associated with both types of dementia.

CONCLUSION

All major CVDs were associated with an increased risk of developing dementia, particularly VD. Therefore, CVD onset should prompt an assessment of cognitive decline and possible preventive measures.

Ventricular arrhythmias and cardiac arrest in atrial fibrillation patients with pacemakers and implantable cardioverter-defibrillators

BACKGROUND

Atrial fibrillation (AF) has been linked to ventricular arrhythmias (VAs) and sudden death, but few studies have specifically explored this association.

OBJECTIVE

We investigated whether AF is associated with an increased risk of ventricular tachycardia (VT), ventricular fibrillation (VF) and cardiac arrests (CA) in patients with cardiac implantable electronic devices (CIEDs).

METHODS

All patients with pacemakers and implantable cardioverter-defibrillators (ICDs) hospitalised between 2010 and 2020 were identified from the French National database. Patients with a prior history of VT/VF/CA were excluded.

RESULTS

701,195 patients were identified initially. After excluding 55,688 patients, 581,781 (90.1%) and 63,726 (9.9%) remained in the pacemaker and ICD groups respectively. 248,046 (42.6%) pacemaker patients had AF and 333,735 (57.4%) had no AF, whereas in the ICD group 20,965 (32.9%) had AF and 42,761 (67.1%) had no AF. The incidence of VT/VF/CA was higher in AF patients compared to non-AF patients both in pacemaker (1.47%/year vs. 0.94%/year) and ICD (5.30%/year vs. 4.21%/year) groups. After multivariable analysis, AF was independently associated with an increased risk of VT/VF/CA in pacemaker (HR 1.236 [95% CI 1.198-1.276]) and ICD (HR 1.167 [95% CI 1.111-1.226]) patients. This risk was still significant in the 1:1 propensity score-matched analysis of the pacemaker (n = 200,977 per subgroup) and ICD cohorts (n = 18,349 per subgroup), HR 1.230 [95% CI 1.187-1.274] and HR 1.134 [95% CI 1.071-1.200] respectively and in the competing risk analysis (pacemaker: HR 1.195 (95% CI 1.154-1.238], ICD: HR 1.094 [95% CI 1.034-1.157]).

CONCLUSION

CIED patients with AF have a higher risk of VT/VF/CA compared to CIED patients without AF.

Association between atrial fibrillation burden and cognitive function in patients with atrial fibrillation

BACKGROUND

Accumulating evidence has demonstrated an association between clinical atrial fibrillation (AF) and cognitive impairment. This study aimed to further clarify the impact of AF burden on cognitive function based on detailed electrophysiological recordings and standardized assessments of cognitive function.

METHODS

This prospective cohort study, conducted at the Cardiac Electrophysiology Clinic of a tertiary center, included patients with non-valvular AF. AF burden was evaluated using 14-day patch-based electrocardiography. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA).

RESULTS

Enrolled patients (n = 253) were grouped according to the median AF burden (13.52%). Patients with higher AF burden were significantly older and had larger left atrium size, a worse ejection fraction, and a lower MoCA score than those with lower AF burden. Predictors of MoCA score included age, CHA₂DS₂-VASc score, AF burden, and Center for Epidemiologic Studies Depression Scale scores. The association between MoCA scores and AF burden remained significant after adjustment for demographic characteristics, underlying diseases, and echocardiographic parameters (standardized beta coefficient: -0.159, 95% confidence interval: -0.020 to -0.004, p = 0.004).

CONCLUSION

AF burden is associated with cognitive function in patients with AF. Further studies are required to determine whether reducing AF burden can preserve cognitive function in these patients.

Impact of cognitive impairment on clinical outcomes in elderly patients with atrial fibrillation: ANAFIE Registry

Background

This subcohort study of All Nippon AF In the Elderly (ANAFIE) Registry based on 33 275 elderly patients (aged ≥75 years) with non-valvular atrial fibrillation (NVAF) investigated the relationship between cognitive function and 2-year clinical outcomes.

Methods

A total of 2963 (mean age, 81.4 years) patients participated in this subcohort study and were classified as having normal cognition (Mini-Mental State Examination (MMSE) score ≥24/30) or cognitive impairment (score ≤23/30) at baseline. Patients with a decrease of >2 points after 24 months were classified as having cognitive decline.

Results

At baseline, 586 (19.8%) patients had cognitive impairment. These patients tended to be older and had poorer general conditions than patients with normal cognition. The 2-year probability of stroke/systemic embolic events (SEEs), major bleeding and intracranial haemorrhage was numerically higher; those of cardiovascular death, all-cause death and net clinical outcome (composite of stroke/SEE, major bleeding and all-cause death) were significantly higher (all p<0.001) in patients with cognitive impairment versus normal cognition. In multivariate analysis, the risks of cardiovascular death (p=0.021), all-cause death (p<0.001) and net clinical outcome (p<0.001) were higher in patients with cognitive impairment versus those with normal cognition. After 24 months, 642 of 1915 (33.5%) patients with repeated MMSE determination had cognitive decline. Educational background <9 years, older age and concomitant cerebrovascular disorders were significant risk factors of cognitive decline at the 2-year follow-up.

Conclusions

Elderly patients with NVAF with cognitive impairment have a higher mortality risk than those with normal cognition. Several significant risk factors of cognitive decline were identified at 2-year follow-up.

Trial registration number

UMIN000024006 (http://www.umin.ac.jp/).

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.

Early diagnosis and better rhythm management to improve outcomes in patients with atrial fibrillation: the 8th AFNET/EHRA consensus conference

Despite marked progress in the management of atrial fibrillation (AF), detecting AF remains difficult and AF-related complications cause unacceptable morbidity and mortality even on optimal current therapy. This document summarizes the key outcomes of the 8th AFNET/EHRA Consensus Conference of the Atrial Fibrillation NETwork (AFNET) and the European Heart Rhythm Association (EHRA). Eighty-three international experts met in Hamburg for 2 days in October 2021. Results of the interdisciplinary, hybrid discussions in breakout groups and the plenary based on recently published and unpublished observations are summarized in this consensus paper to support improved care for patients with AF by guiding prevention, individualized management, and research strategies. The main outcomes are (i) new evidence supports a simple, scalable, and pragmatic population-based AF screening pathway; (ii) rhythm management is evolving from therapy aimed at improving symptoms to an integrated domain in the prevention of AF-related outcomes, especially in patients with recently diagnosed AF; (iii) improved characterization of atrial cardiomyopathy may help to identify patients in need for therapy; (iv) standardized assessment of cognitive function in patients with AF could lead to improvement in patient outcomes; and (v) artificial intelligence (AI) can support all of the above aims, but requires advanced interdisciplinary knowledge and collaboration as well as a better medico-legal framework. Implementation of new evidence-based approaches to AF screening and rhythm management can improve outcomes in patients with AF. Additional benefits are possible with further efforts to identify and target atrial cardiomyopathy and cognitive impairment, which can be facilitated by AI.

Clinical Phenotype Classification of Atrial Fibrillation Patients Using Cluster Analysis and Associations with Trial-Adjudicated Outcomes

BACKGROUND AND PURPOSE

Given the great clinical heterogeneity of atrial fibrillation (AF) patients, conventional classification only based on disease subtype or arrhythmia patterns may not adequately characterize this population. We aimed to identify different groups of AF patients who shared common clinical phenotypes using cluster analysis and evaluate the association between identified clusters and clinical outcomes.

METHODS

We performed a hierarchical cluster analysis in AF patients from AMADEUS and BOREALIS trials. The primary outcome was a composite of stroke/thromboembolism (TE), cardiovascular (CV) death, myocardial infarction, and/or all-cause death. Individual components of the primary outcome and major bleeding were also assessed.

RESULTS

We included 3980 AF patients treated with the Vitamin-K Antagonist from the AMADEUS and BOREALIS studies. The analysis identified four clusters in which patients varied significantly among clinical characteristics. Cluster 1 was characterized by patients with low rates of CV risk factors and comorbidities; Cluster 2 was characterized by patients with a high burden of CV risk factors; Cluster 3 consisted of patients with a high burden of CV comorbidities; Cluster 4 was characterized by the highest rates of non-CV comorbidities. After a mean follow-up of 365 (standard deviation 187) days, Cluster 4 had the highest cumulative risk of outcomes. Compared with Cluster 1, Cluster 4 was independently associated with an increased risk for the composite outcome (hazard ratio (HR) 2.43, 95% confidence interval (CI) 1.70-3.46), all-cause death (HR 2.35, 95% CI 1.58-3.49) and major bleeding (HR 2.18, 95% CI 1.19-3.96).

CONCLUSIONS

Cluster analysis identified four different clinically relevant phenotypes of AF patients that had unique clinical characteristics and different outcomes. Cluster analysis highlights the high degree of heterogeneity in patients with AF, suggesting the need for a phenotype-driven approach to comorbidities, which could provide a more holistic approach to management aimed to improve patients' outcomes.

Optimizing indices of AF susceptibility and burden to evaluate AF severity, risk and outcomes

Atrial fibrillation (AF) has heterogeneous patterns of presentation concerning symptoms, duration of episodes, AF burden, and the tendency to progress towards the terminal step of permanent AF. AF is associated with a risk of stroke/thromboembolism traditionally considered dependent on patient-level risk factors rather than AF type, AF burden, or other characterizations. However, the time spent in AF appears related to an incremental risk of stroke, as suggested by the higher risk of stroke in patients with clinical AF vs. subclinical episodes and in patients with non-paroxysmal AF vs. paroxysmal AF. In patients with device-detected atrial tachyarrhythmias, AF burden is a dynamic process with potential transitions from a lower to a higher maximum daily arrhythmia burden, thus justifying monitoring its temporal evolution. In clinical terms, the appearance of the first episode of AF, the characterization of the arrhythmia in a specific AF type, the progression of AF, and the response to rhythm control therapies, as well as the clinical outcomes, are all conditioned by underlying heart disease, risk factors, and comorbidities. Improved understanding is needed on how to monitor and modulate the effect of factors that condition AF susceptibility and modulate AF-associated outcomes. The increasing use of wearables and apps in practice and clinical research may be useful to predict and quantify AF burden and assess AF susceptibility at the individual patient level. This may help us reveal why AF stops and starts again, or why AF episodes, or burden, cluster. Additionally, whether the distribution of burden is associated with variations in the propensity to thrombosis or other clinical adverse events. Combining the improved methods for data analysis, clinical and translational science could be the basis for the early identification of the subset of patients at risk of progressing to a longer duration/higher burden of AF and the associated adverse outcomes.