Clinical Complexity Domains, Anticoagulation, and Outcomes in Patients with Atrial Fibrillation: A Report from the GLORIA-AF Registry Phase II and III

Combination of early rhythm control and healthy lifestyle on the risk of stroke in elderly patients with new-onset atrial fibrillation: a nationwide population-based cohort study

Background

The impact of early rhythm control (ERC) combined with healthy lifestyle (HLS) on the risk of ischemic stroke in elderly patients with atrial fibrillation (AF) remains unaddressed.

Objective

To evaluate the impact of combined ERC and HLS on the risk of stroke in elderly patients with new-onset AF.

Methods

Using the Korean National Health Insurance Service database, we included patients aged ≥75 years with new-onset AF from January 2009 to December 2016 (n = 41,315). Patients who received rhythm control therapy within 2 years of AF diagnosis were defined as the ERC group. Non-smoking, non-to-mild alcohol consumption (<105 g/week), and regular exercise were defined as HLS. Subjects were categorized into four groups: group 1 (without ERC and HLS, n = 25,093), 2 (HLS alone, n = 8,351), 3 (ERC alone, n = 5,565), and 4 (both ERC and HLS, n = 2,306). We assessed the incidence of ischemic stroke as the primary outcome, along with admissions for heart failure, all-cause death, and the composite of ischemic stroke, admission for heart failure, and all-cause death.

Results

Median follow-up duration of the study cohort was 3.4 years. After adjusting for multiple variables, groups 2 and 3 were associated with a lower stroke risk (adjusted hazard ratio [aHR]: 95% confidence interval [CI]: 0.867, 0.794-0.948 and 0.713, 0.637-0.798, respectively) than that of group 1. Compared to Group 1, group 4 showed the lowest stroke risk (aHR: 0.694, 95% CI: 0.586-0.822) among all groups, followed by group 3 (0.713, 0.637-0.798) and group 2 (0.857, 0.794-0.948), respectively. Group 4 was associated with the lowest risk of all-cause death (aHR: 0.680, 95% CI: 0.613-0.754) and the composite outcome (aHR: 0.708, 95% CI: 0.649-0.772).

Conclusion

ERC and HLS were associated with a lower risk of ischemic stroke in elderly patients with new-onset AF. Concurrently implementing ERC and maintaining HLS was associated with the lowest risk of death and the composite outcome, with a modest synergistic effect on stroke prevention.

Clinical phenotype classification to predict risk and optimize the management of patients with atrial fibrillation using the Atrial Fibrillation Better Care (ABC) pathway: a report from the COOL-AF registry

BACKGROUND

Phenotypic classification is a method of grouping patients with similar phenotypes.

AIM

We aimed to use phenotype classification based on a clustering process for risk stratification of patients with non-valvular atrial fibrillation (AF) and second, to assess the benefit of the Atrial Fibrillation Better Care (ABC) pathway.

METHODS

Patients with AF were prospectively enrolled from 27 hospitals in Thailand from 2014 to 2017, and followed up every 6 months for 3 years. Cluster analysis was performed from 46 variables using the hierarchical clustering using the Ward minimum variance method. Outcomes were a composite of all-cause death, ischemic stroke/systemic embolism, acute myocardial infarction and heart failure.

RESULTS

A total of 3405 patients were enrolled (mean age 67.8 ± 11.3 years, 58.2% male). During the mean follow-up of 31.8 ± 8.7 months. Three clusters were identified: Cluster 1 had the highest risk followed by Cluster 3 and Cluster 2 with a hazard ratio (HR) and 95% confidence interval (CI) of composite outcomes of 2.78 (2.25, 3.43), P < 0.001 for Cluster 1 and 1.99 (1.63, 2.42), P < 0.001 for Cluster 3 compared with Cluster 2. Management according to the ABC pathway was associated with reductions in adverse clinical outcomes especially those who belonged to Clusters 1 and 3 with HR and 95%CI of the composite outcome of 0.54 (0.40, 073), P < 0.001 for Cluster 1 and 0.49 (0.38, 0.63), P < 0.001 for Cluster 3.

CONCLUSION

Phenotypic classification helps in risk stratification and prognostication. Compliance with the ABC pathway was associated with improved clinical outcomes.

The Impact of Polypharmacy on the Effectiveness and Safety of Non-vitamin K Antagonist Oral Anticoagulants in Patients with Atrial Fibrillation

BACKGROUND

 Polypharmacy may affect outcomes in patients with atrial fibrillation (AF) using non-vitamin K antagonist oral anticoagulants (NOACs) or vitamin K antagonists (VKAs) due to interactions or reduced adherence, but comparative data are lacking. Therefore, the impact of polypharmacy on AF-related outcomes and benefit-risk profiles of NOACs in patients with polypharmacy were investigated.

METHODS

 AF patients initiating anticoagulation between 2013 and 2019 were included using Belgian nationwide data. Inverse probability of treatment weighted Cox regression was used to investigate outcomes.

RESULTS

 Among 254,478 AF patients, 167,847 (66.0%) used ≥5 drugs. Polypharmacy was associated with higher stroke or systemic embolism (stroke/SE) (adjusted hazard ratio [aHR]: 1.08, 95% confidence interval [CI]: 1.02-1.15), all-cause mortality (aHR: 1.45, 95% CI: 1.40-1.50), and major bleeding risks (aHR: 1.29, 95% CI: 1.23-1.35). Among patients with polypharmacy, NOACs were associated with lower stroke/SE (aHR: 0.68, 95% CI: 0.63-0.73), all-cause mortality (aHR: 0.80, 95% CI: 0.77-0.84), major bleeding (aHR: 0.92, 95% CI: 0.87-0.97), and intracranial bleeding risks (aHR: 0.77, 95% CI: 0.69-0.85), but higher gastrointestinal bleeding risks (aHR: 1.10, 95% CI: 1.01-1.19) compared to VKAs. Major bleeding risks were lower with apixaban (aHR: 0.79, 95% CI: 0.74-0.85), but nonsignificantly different with other NOACs compared to VKAs. Lower major bleeding risks were observed with dabigatran (aHR: 0.91, 95% CI: 0.85-0.97) and apixaban (aHR: 0.77, 95% CI: 0.73-0.81) compared to rivaroxaban, and with apixaban compared to dabigatran (HR: 0.83, 95% CI: 0.77-0.90) and edoxaban (HR: 0.77, 95% CI: 0.70-0.85).

CONCLUSION

 Polypharmacy was associated with increased thromboembolic, bleeding, and mortality risks in AF patients. NOACs had better benefit-risk profiles than VKAs in patients with polypharmacy.

Net Clinical Benefit of Oral Anticoagulation Among Frail Patients With Atrial Fibrillation: Nationwide Cohort Study

BACKGROUND

Frail people with atrial fibrillation are often undertreated with oral anticoagulants (OACs), and evidence for the net clinical benefit (NCB) of OAC is sparse. We, therefore, examined the risk of thromboembolic events, major bleeding, and NCB of anticoagulation treatment.

METHODS

This was a nationwide cohort study including frail patients aged with incident atrial fibrillation between 2013 and 2018. Patients were categorized according to OAC treatment exposure. One-year risks of thromboembolic events and major bleeding were ascertained where death was treated as a competing risk. The NCB of anticoagulation was assessed by a bivariate trade-off between thromboembolism and bleeding.

RESULTS

We identified 36 223 frail patients with atrial fibrillation (median age, 79 years; 50.5% female), of whom 61.8% started OAC therapy, while 38.2% were untreated despite indication for stroke prevention. At 1 year, the risk of thromboembolic events was 2.1% (95% CI, 1.8%-2.3%) among patients not receiving OAC versus 1.5% (95% CI, 1.4%-1.7%) in patients with OAC. The bleeding risk was 3.2% (95% CI, 2.9%-3.5%) among patients without OAC versus 3.5% (95% CI, 3.2%-3.8%) among anticoagulated patients. The NCB was 0.70% (95% CI, 0.32%-1.08%), suggesting a benefit of OAC treatment; however, the NCB declined with age and increasing frailty and was lowest among patients >75 years of age or with high frailty level.

CONCLUSIONS

Frail patients with atrial fibrillation are often untreated with OAC in routine clinical care despite an indication for stroke prevention. The NCB balancing thromboembolic events and major bleeding was in favor of anticoagulation but decreased with advancing age and increasing frailty.

Potentially inappropriate prescribing in multimorbid and polymedicated older adults with AF: A Systematic Review and Meta-Analysis

AIM

Polypharmacy in multimorbid older patients with atrial fibrillation (AF) is a risk factor for potentially inappropriate prescribing (PIP). We aimed to systematically assess the evidence on the prevalence of PIP and its impact on adverse health outcomes in this patient group.

METHODS

A systematic search of the published peer-reviewed literature describing the prevalence of PIP and/or its association with adverse health outcomes in multimorbid (AF plus one comorbidity) and polymedicated (≥ 2 drugs) adults ≥ 65 years was done up to March 2023. A meta-analysis of the prevalence of PIP of (direct) oral anticoagulants ((D)OACs) was conducted using a random-effects model. Leave-one-out analysis was performed with R (version 4.2.2) and RStudio (version 2022.12.0+353).

RESULTS

Of the 12 studies included, only one reported on the prevalence of overall PIP (65%). The meta-analysis of 10 studies assessing PIP of (D)OACs produced a pooled prevalence [95% confidence interval (CI)] of 35% [30-40%], with significant heterogeneity between the included studies (I2 95%). No statistically significant association was reported in three studies between PIP of (D)OACs, cardiovascular (CV) and all-cause mortality, hospital readmission, CV hospitalisation and stroke. Reported associations between PIP and major bleeding differed, with one study demonstrating a significant association (odds ratio 2.17; 95% CI 1.14-4.12) and the other study not showing such association.

CONCLUSION

This systematic review highlights the scarce evidence regarding the prevalence of PIP and its association with adverse health outcomes in multimorbid older adults with AF. Large, prospective and better-designed studies are needed.

Non-vitamin K Antagonist Oral Anticoagulant, Warfarin, and ABC Pathway Adherence on Hierarchical Outcomes: Win Ratio Analysis of the COOL-AF Registry

BACKGROUND

 Atrial fibrillation (AF) Better Care (ABC) pathway adherence is associated with improved outcomes. Clinical trials have shown that non-vitamin K antagonist oral anticoagulants (NOACs) are as least as effective as warfarin for stroke prevention in AF patients. The Win Ratio method, analyzing hierarchical composite outcomes considering event timing and severity, has limited data on its use in Asians.

OBJECTIVES

 We aim to apply Win Ratio in a registry to access the comparative effectiveness of NOACs versus warfarin and ABC adherence versus nonadherence in Asian patients with AF.

METHODS

 Our study included nonvalvular AF patients from the nationwide prospective COOL-AF registry in Thailand. The NOAC-treated group was compared with the warfarin-treated group using the Win Ratio, with the following order: all-cause death, intracranial hemorrhage (ICH), ischemic stroke/transient ischemic attack/systemic embolism, non-ICH major bleeding, and myocardial infarction or heart failure. ABC pathway adherence versus nonadherence was also compared. A Win Ratio greater than 1.00 indicating a better outcome.

RESULTS

 The analysis included 2,568 patients, with 228 in the NOAC group and 2,340 in the warfarin group. The NOAC group had more wins than the warfarin group, with an unmatched Win Ratio of 1.64 (95% confidence interval [CI]: 1.22-2.20; p < 0.001). When compared with nonadherence, ABC pathway adherence was associated with a Win Ratio of 1.57 (95% CI: 1.33-1.85; p < 0.001).

CONCLUSION

 This Win Ratio analysis demonstrates the significant benefits of NOACs over warfarin and ABC pathway adherence over nonadherence in reducing the composite outcome in patients with AF.

Impact of chronic obstructive pulmonary disease in patients with atrial fibrillation: an analysis from the GLORIA-AF registry

AIMS

Chronic obstructive pulmonary disease (COPD) may influence management and prognosis of atrial fibrillation (AF), but this relationship has been scarcely explored in contemporary global cohorts. We aimed to investigate the association between AF and COPD, in relation to treatment patterns and major outcomes.

METHODS AND RESULTS

From the prospective, global GLORIA-AF registry, we analysed factors associated with COPD diagnosis, as well as treatment patterns and risk of major outcomes in relation to COPD. The primary outcome was the composite of all-cause death and major adverse cardiovascular events (MACEs). A total of 36 263 patients (mean age 70.1 ± 10.5 years, 45.2% females) were included; 2,261 (6.2%) had COPD. The prevalence of COPD was lower in Asia and higher in North America. Age, female sex, smoking, body mass index, and cardiovascular comorbidities were associated with the presence of COPD. Chronic obstructive pulmonary disease was associated with higher use of oral anticoagulant (OAC) [adjusted odds ratio (aOR) and 95% confidence interval (CI): 1.29 (1.13-1.47)] and higher OAC discontinuation [adjusted hazard ratio (aHR) and 95% CI: 1.12 (1.01-1.25)]. Chronic obstructive pulmonary disease was associated with less use of beta-blocker [aOR (95% CI): 0.79 (0.72-0.87)], amiodarone and propafenone, and higher use of digoxin and verapamil/diltiazem. Patients with COPD had a higher hazard of primary composite outcome [aHR (95% CI): 1.78 (1.58-2.00)]; no interaction was observed regarding beta-blocker use. Chronic obstructive pulmonary disease was also associated with all-cause death [aHR (95% CI): 2.01 (1.77-2.28)], MACEs [aHR (95% CI): 1.41 (1.18-1.68)], and major bleeding [aHR (95% CI): 1.48 (1.16-1.88)].

CONCLUSION

In AF patients, COPD was associated with differences in OAC treatment and use of other drugs; Patients with AF and COPD had worse outcomes, including higher mortality, MACE, and major bleeding.

Discontinuation of Oral Anticoagulants in Atrial Fibrillation Patients: Impact of Treatment Strategy and on Patients' Health Status

AIMS

The discontinuation of oral anticoagulants (OACs) remains as a significant concern in the management of atrial fibrillation (AF). The discontinuation rate may vary depending on management strategy, and physicians may also discontinue OACs due to concerns about patient satisfaction with their care. We aimed to assess the incidence of OAC discontinuation and its relationship to patients' health in an outpatient AF registry.

METHODS AND RESULTS

From a multicenter registry for newly recognized AF patients (n = 3313), we extracted 1647 (49.7%) patients with OACs and a CHA2DS2-Vasc score of ≥2. Discontinuation was defined as sustained cessation of OACs within a 1-year follow-up. We examined predictors associated with discontinuation and its relations to health status defined by the AFEQT questionnaire. Of the 1647 patients, 385 (23.6%) discontinued OACs after 1 year, with discontinuation rates varying across treatment strategies (15.3% for catheter ablation, 4.9% for rhythm control with antiarrhythmic drugs, and 3.0% for rate control). Successful rhythm control was associated with discontinuation in the catheter ablation (OR 6.61, 95% CI 3.00-14.6, p < 0.001) and antiarrhythmic drugs (OR 6.47, 95% CI 2.62-15.9, p < 0.001) groups, whereas the incidence of bleeding events within 1 year was associated with discontinuation in the rate control group. One-year AFEQT scores did not significantly differ between patients who discontinued OACs and those who did not in each treatment strategy group.

CONCLUSIONS

OAC discontinuation was common among AF patients with significant stroke risk but varied depending on the chosen treatment strategy. This study also found no significant association between OAC discontinuation and patients' health status.

Clinical outcomes in elderly atrial fibrillation patients at increased bleeding risk treated with very low dose vs. regular-dose non-vitamin K antagonist oral anticoagulants: a nationwide cohort study

AIMS

The Edoxaban Low-Dose for Elder Care Atrial Fibrillation Patients (ELDERCARE-AF) trial showed that edoxaban at a very low dosage (VLD) of 15 mg/day was more effective than a placebo at preventing stroke/systemic embolism without significantly increasing the risk of serious bleeding. We aimed to compare the effectiveness and safety for VLD non-vitamin K antagonist oral anticoagulants (NOACs) [edoxaban 15 mg o.d., dabigatran 110 or 150 o.d., apixaban 2.5 mg o.d., or rivaroxaban 10 mg (without the diagnosis of chronic kidney disease) or <10 mg o.d.] vs. regular-dosage (RD) NOACs (edoxaban 60/30 mg o.d. or other labeling-dosage NOACs) among a real-world cohort of elderly atrial fibrillation (AF) population similar to the ELDERCARE-AF cohort.

METHODS AND RESULTS

In this nationwide retrospective cohort study from Taiwan National Health Insurance Research Database (NHIRD), we identified a total of 7294 and 4151 consecutive AF patients aged 80 years or older with a CHADS2 (congestive heart failure, hypertension, age 75 years or older, diabetes mellitus, previous stroke/transient ischemic attack (2 points) score ≥2 who met the enrollment criteria (generally similar to ELDERCARE-AF) taking VLD and RD NOACs from 1 June 2012 to 31 December 2019, respectively. Propensity-score stabilized weighting (PSSW) was used to balance covariates across study groups. Patients were followed up from the first date of prescription for NOACs until the first occurrence of any study outcome, death, or until the end date of the study period (31 December 2020). After PSSW, VLD NOAC was associated with a comparable risk of ischemic stroke/systemic embolism and major bleeding but a higher risk of major adverse limb events (MALEs) requiring lower limb revascularization or amputation [hazard ratio (HR): 1.54, 95% confidential interval (CI): 1.09-2.18; P = 0.014), venous thrombosis (HR: 3.75, 95% CI: 1.56-8.97; P = 0.003), and all-cause mortality (HR: 1.21, 95% CI: 1.15-1.29; P <0.001) compared with RD NOACs. VLD NOACs showed worse outcomes in most net clinical outcome (NCO) benefits. The main result was consistent based on on-treatment analysis or accounting for death as a competing risk. In general, the advantage of NCOs for the RD NOACs over VLD NOACs persisted in most high-risk subgroups, consistent with the main analysis (P for interaction > 0.05).

CONCLUSION

Use of VLD NOACs was associated with a greater risk of arterial and venous thrombosis, death as well as the composite outcomes, when compared with that of RD NOAC in high-risk elderly AF patients at increased bleeding risk. Thromboprophylaxis with RD NOAC is still preferable over VLD NOAC for the majority of elderly AF patients at increased bleeding risk.

Association Between Atrial Fibrillation and Diabetes-Related Complications: A Nationwide Cohort Study

OBJECTIVE

This study aimed to investigate the associations between concurrent atrial fibrillation and diabetes-related complications among patients with diabetes.

RESEARCH DESIGN AND METHODS

This nationwide observational cohort study used the health checkup database from the Korean National Health Insurance Service. Patients diagnosed with diabetes who underwent health checkups between 2009 and 2012 were investigated. The patients with atrial fibrillation were matched in a 1:5 ratio with those without atrial fibrillation using propensity scores. Study outcomes included macrovascular, microvascular (diabetic retinopathy and diabetic nephropathy), and diabetic foot complications. The risks of clinical outcomes were measured using hazard ratios (HRs) with 95% CIs.

RESULTS

A total of 65,760 patients with diabetes were analyzed (54,800 without atrial fibrillation and 10,960 with atrial fibrillation). After well-balanced propensity score matching, atrial fibrillation was associated with significantly higher risks of macrovascular complications (HR 1.12, 95% CI 1.09-1.16), diabetic nephropathy (HR 1.23, 95% CI 1.16-1.30), and diabetic foot complications (HR 1.13, 95% CI 1.09-1.17) compared with no atrial fibrillation, while the risk of diabetic retinopathy was comparable (HR 0.99, 95% CI 0.96-1.03). Patients with atrial fibrillation had a significantly higher risk of diabetic foot amputation (HR 4.12, 95% CI 1.98-8.56).

CONCLUSIONS

Among patients with diabetes, concurrent atrial fibrillation was associated with increased risks for diabetes-related macrovascular complications, diabetic nephropathy, and diabetic foot. Such patients require holistic management to reduce the risk of adverse outcomes.

Prediction of early death after atrial fibrillation diagnosis using a machine learning approach: A French nationwide cohort study

AIMS

Atrial fibrillation is associated with important mortality but the usual clinical risk factor based scores only modestly predict mortality. This study aimed to develop machine learning models for the prediction of death occurrence within the year following atrial fibrillation diagnosis and compare predictive ability against usual clinical risk scores.

METHODS AND RESULTS

We used a nationwide cohort of 2,435,541 newly diagnosed atrial fibrillation patients seen in French hospitals from 2011 to 2019. Three machine learning models were trained to predict mortality within the first year using a training set (70% of the cohort). The best model was selected to be evaluated and compared with previously published scores on the validation set (30% of the cohort). Discrimination of the best model was evaluated using the C index. Within the first year following atrial fibrillation diagnosis, 342,005 patients (14.4%) died after a period of 83 (SD 98) days (median 37 [10-129]). The best machine learning model selected was a deep neural network with a C index of 0.785 (95% CI, 0.781-0.789) on the validation set. Compared to clinical risk scores, the selected model was superior to the CHA2DS2-VASc and HAS-BLED risk scores and superior to dedicated scores such as Charlson Comorbidity Index and Hospital Frailty Risk Score to predict death within the year following atrial fibrillation diagnosis (C indexes: 0.597; 0.562; 0.643; 0.626 respectively. P < .0001).

CONCLUSION

Machine learning algorithms predict early death after atrial fibrillation diagnosis and may help clinicians to better risk stratify atrial fibrillation patients at high risk of mortality.

Atrial cardiomyopathy: An entity of emerging interest in the clinical setting

Since 1995, the concept of atrial cardiomyopathy (ACM) has been associated with myocardial fibrosis. Despite a consensus document in 2016, ACM's definition primarily relies on histopathological findings. The focus on diagnostic criteria for ACM is driven by the potential link to thromboembolic events even independently on atrial fibrillation (AF). The complexity of the mutual relationships between ACM and AF makes difficult any assessment of the thromboembolic risk associated to ACM per se. ACM's thrombogenicity is a multifaceted clinical phenomenon involving electrical, functional, and structural modifications. Factors such as cardiovascular risk factors (e.g., hypertension), common cardiac comorbidities (e.g., heart failure), and extracardiac conditions (e.g., neuromuscular disorders) can promote atrial derangement, triggering atrial fibrillation (AF) and increasing the risk of thromboembolic events. Several diagnostic methods are available to detect the key features of ACM, including electrical changes assessed by surface and intracavitary ECG, and structural and functional alterations evaluated through echocardiography and cardiac magnetic resonance (CMR). These methods can be complemented by electro-anatomical mapping (EAM) to enhance the accuracy of myocardial tissue characterization and assessment of atrial fibrosis. Although certain clinical conditions (e.g., atrial high-rate episodes, AHREs; embolic stroke of undetermined source, ESUS) often exhibit atrial alterations in their thromboembolic presentations, recent randomized trials have failed to demonstrate the benefits of oral anticoagulation in patients with ACM without AF. However, ACM constitutes the substrate for the development of AF, as proposed in the AF European guidelines under the 4S-AF scheme. This review emphasizes the lack of a diagnostic gold standard and the need for clinical criteria for ACM, aiming to better understand the potential therapeutic implications of atrial structural and functional derangements, even in the absence of clinical evidence of AF.

Implications of Clinical Risk Phenotypes on the Management and Natural History of Atrial Fibrillation: A Report From the GLORIA-AF

Background Clinical risk factors are common among patients with atrial fibrillation (AF), but there are still limited data on their association with oral anticoagulant (OAC) treatment patterns and major outcomes. We aim to analyze the association between clinical risk phenotypes on AF treatment patterns and the risk of major outcomes. Methods and Results The GLORIA-AF (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients With Atrial Fibrillation) phase 2 and 3 registries enrolled patients with a recent diagnosis of AF between 2011 and 2016. We defined 4 features of clinical risk among patients with CHA2DS2-VASc ≥2: elderly individuals (aged ≥80 years), chronic kidney disease (estimated glomerular filtration rate <45 mL/min), history of stroke, and history of bleeding. We analyzed the odds of receiving OAC and the risk of OAC discontinuation and adverse events at follow-up according to specific combinations and cumulative burden of these features. Primary outcome was the composite of all-cause death, thromboembolism, and major bleeding. Among 28 891 (mean±SD age, 70.1±10.5 years; 45.5% women) patients included, 10 797 (37.3%) had at least 1 clinical risk feature. OAC use was lower among patients in the elderly group (odds ratio [OR], 0.85 [95% CI, 0.75-0.96]), those with history of both stroke and bleeding (OR, 0.45 [95% CI, 0.35-0.56]), and those with multiple features (OR, 0.71 [95% CI, 0.62-0.82]). Increasing burden of clinical risk features was associated with OAC discontinuation, with highest magnitude in those with ≥3 features (hazard ratio [HR], 1.68 [95% CI, 1.31-2.15]). Groups with increasingly complex clinical risk phenotypes were associated with the occurrence of the primary composite outcome, with the highest figures observed for groups with a history of both stroke and bleeding (adjusted HR, 2.36 [95% CI, 1.83-3.04]) and multiple features (adjusted HR, 2.86 [95% CI, 2.52-3.25]). Conclusions In patients with AF, clinical risk phenotypes are multifaceted and heterogenous, and they are associated with differences in stroke prevention and worse prognosis.

Electronic health record-wide association study for atrial fibrillation in a British cohort

Background

Atrial fibrillation (AF) confers a major healthcare burden from hospitalisations and AF-related complications, such as stroke and heart failure. We performed an electronic health records-wide association study to identify the most frequent reasons for healthcare utilization, pre and post new-onset AF.

Methods

Prospective cohort study with the linked electronic health records of 5.6 million patients in the United Kingdom Clinical Practice Research Datalink (1998-2016). A cohort study with AF patients and their age-and sex matched controls was implemented to compare the top 100 reasons of frequent hospitalisation and primary consultation.

Results

Of the 199,433 patients who developed AF, we found the most frequent healthcare interactions to be cardiac, cerebrovascular and peripheral-vascular conditions, both prior to AF diagnosis (41/100 conditions in secondary care, such as cerebral infarction and valve diseases; and 33/100 conditions in primary care), and subsequently (47/100 conditions hospital care and 48 conditions in primary care). There was a high representation of repeated visits for cancer and infection affecting multiple organ systems. We identified 10 novel conditions which have not yet been associated with AF: folic acid deficiency, pancytopenia, idiopathic thrombocytopenic purpura, seborrheic dermatitis, lymphoedema, angioedema, laryngopharyngeal reflux, rib fracture, haemorrhagic gastritis, inflammatory polyneuropathies.

Conclusion

Our nationwide data provide knowledge and better understanding of the clinical needs of AF patients suggesting: (i) groups at higher risk of AF, where screening may be more cost-effective, and (ii) potential complications developing following new-onset AF that can be prevented through implementation of comprehensive integrated care management and more personalised, tailored treatment.

Clinical trial registration

NCT04786366.

Mobile health technology integrated care in atrial fibrillation patients with diabetes mellitus in China: A subgroup analysis of the mAFA-II cluster randomized clinical trial

BACKGROUND

The Mobile Health Technology for Improved Screening and Optimized Integrated Care in AF (mAFA-II) prospective randomized trial showed the efficacy of a mobile health (mHealth) implemented 'Atrial fibrillation Better Care' (ABC) pathway for the integrated care management of patients with atrial fibrillation (AF). In this ancillary analysis, we evaluated the effect of mAFA intervention according to the history of diabetes mellitus (DM).

METHODS

The mAFA-II trial enrolled 3324 AF patients across 40 centres in China, between June 2018 and August 2019. In this analysis, we assessed the interaction between history of DM and the effect of mAFA intervention on the risk of the primary composite outcome of stroke, thromboembolism, all-cause death and rehospitalizations. Results were expressed as adjusted hazard ratio (aHR) and 95% confidence intervals (95%CI). The effect of mAFA intervention on exploratory secondary outcomes was also assessed.

RESULTS

Overall, 747 (22.5%) patients had DM (mean age: 72.7 ± 12.3, 39.6% females; 381 allocated to mAFA intervention). mAFA intervention was associated with a significant risk reduction for the primary composite outcome both in patients with and without DM (aHR [95%CI]: .36 [.18-.73] and .37 [.23-.61], respectively, p for interaction = .941). A significant interaction was found only for the composite of recurrent AF, heart failure and acute coronary syndromes (pint  =.025), with lower effect of mAFA intervention in patients with DM.

CONCLUSIONS

A mHealth-technology implemented ABC pathway showed a consistent effect in reducing the risk of the primary composite outcome in AF patients with and without DM.

TRIAL REGISTRATION

WHO International Clinical Trials Registry Platform (ICTRP) Registration number: ChiCTR-OOC-17014138.

Phenotypes and outcomes in non-anticoagulated patients with atrial fibrillation: An unsupervised cluster analysis

BACKGROUND

Patients with atrial fibrillation are characterized by great clinical heterogeneity and complexity. The usual classifications may not adequately characterize this population. Data-driven cluster analysis reveals different possible patient classifications.

AIMS

To identify different clusters of patients with atrial fibrillation who share similar clinical phenotypes, and to evaluate the association between identified clusters and clinical outcomes, using cluster analysis.

METHODS

An agglomerative hierarchical cluster analysis was performed in non-anticoagulated patients from the Loire Valley Atrial Fibrillation cohort. Associations between clusters and a composite outcome comprising stroke/systemic embolism/death and all-cause death, stroke and major bleeding were evaluated using Cox regression analyses.

RESULTS

The study included 3434 non-anticoagulated patients with atrial fibrillation (mean age 70.3±17 years; 42.8% female). Three clusters were identified: cluster 1 was composed of younger patients, with a low prevalence of co-morbidities; cluster 2 included old patients with permanent atrial fibrillation, cardiac pathologies and a high burden of cardiovascular co-morbidities; cluster 3 identified old female patients with a high burden of cardiovascular co-morbidities. Compared with cluster 1, clusters 2 and 3 were independently associated with an increased risk of the composite outcome (hazard ratio 2.85, 95% confidence interval 1.32-6.16 and hazard ratio 1.52, 95% confidence interval 1.09-2.11, respectively) and all-cause death (hazard ratio 3.54, 95% confidence interval 1.49-8.43 and hazard ratio 1.88, 95% confidence interval 1.26-2.79, respectively). Cluster 3 was independently associated with an increased risk of major bleeding (hazard ratio 1.72, 95% confidence interval 1.06-2.78).

CONCLUSION

Cluster analysis identified three statistically driven groups of patients with atrial fibrillation, with distinct phenotype characteristics and associated with different risks for major clinical adverse events.

Incidence of clinical atrial fibrillation and related complications using a screening algorithm at a nationwide level

AIMS

In a recent position paper, the European Heart Rhythm Association (EHRA) proposed an algorithm for the screening and management of arrhythmias using digital devices. In patients with prior stroke, a systematic screening approach for atrial fibrillation (AF) should always be implemented, preferably immediately after the event. Patients with increasing age and with specific cardiovascular or non-cardiovascular comorbidities are also deemed to be at higher risk. From a large nationwide database, the aim was to analyse AF incidence rates derived from this new EHRA algorithm.

METHODS AND RESULTS

Using the French administrative hospital discharge database, all patients hospitalized in 2012 without a history of AF, and with at least a 5-year follow-up (FU) (or if they died earlier), were included. The yearly incidence of AF was calculated in each subgroup defined by the algorithm proposed by EHRA based on a history of previous stroke, increasing age, and eight comorbidities identified via International Classification of Diseases 10th Revision codes. Out of the 4526 104 patients included (mean age 58.9 ± 18.9 years, 64.5% women), 1% had a history of stroke. Among those with no history of stroke, 18% were aged 65-74 years and 21% were ≥75 years. During FU, 327 012 patients had an incidence of AF (yearly incidence 1.86% in the overall population). Implementation of the EHRA algorithm divided the population into six risk groups: patients with a history of stroke (group 1); patients > 75 years (group 2); patients aged 65-74 years with or without comorbidity (groups 3a and 3b); and patients < 65 years with or without comorbidity (groups 4a and 4b). The yearly incidences of AF were 4.58% per year (group 2), 6.21% per year (group 2), 3.50% per year (group 3a), 2.01% per year (group 3b), 1.23% per year (group 4a), and 0.35% per year (group 4b). In patients aged < 65 years, the annual incidence of AF increased progressively according to the number of comorbidities from 0.35% (no comorbidities) to 9.08% (eight comorbidities). For those aged 65-75 years, the same trend was observed, i.e. increasing from 2.01% (no comorbidities) to 11.47% (eight comorbidities).

CONCLUSION

These findings at a nationwide scale confirm the relevance of the subgroups in the EHRA algorithm for identifying a higher risk of AF incidence, showing that older patients (>75 years, regardless of comorbidities) have a higher incidence of AF than those with prior ischaemic stroke. Further studies are needed to evaluate the usefulness of algorithm-based risk stratification strategies for AF screening and the impact of screening on major cardiovascular event rates.

Clinical benefits and risks of anticoagulation therapy according to the degree of chronic kidney disease in patients with atrial fibrillation

BACKGROUND

The clinical benefits and risks of anticoagulation therapy in patients with chronic kidney disease (CKD) are still inconclusive. We describe the outcomes of patients with atrial fibrillation (AF) after anticoagulation therapy according to differences in creatinine clearance (CrCl). We also aimed to determine the patients who could benefit from anticoagulation therapy.

METHODS

This is a retrospective observational review of patients with AF who were managed at Asan Medical Center (Seoul, Korea) between January 1, 2006, and December 31, 2018. Patients were categorized into groups according to their baseline CrCl by Cockcroft-Gault equation and their outcomes were evaluated (CKD 1, ≥ 90 mL/min; CKD2, 60-89 mL/min; CKD3, 30-59 mL/min; CKD4, 15-29 mL/min; CKD 5, < 15 mL/min). The primary outcome was NACE (net adverse clinical events), defined as a composite of all-cause mortality, thromboembolic events, and major bleeding.

RESULTS

We identified 12,714 consecutive patients with AF (mean 64.6 ± 11.9 years, 65.3% male, mean CHA₂DS₂-VASc score 2.4 ± 1.6 points) between 2006 and 2017. In patients receiving anticoagulation therapy (n = 4447, 35.0%), warfarin (N = 3768, 84.7%) was used more frequently than NOACs (N = 673, 15.3%). There was a higher 3-year rate of NACE with renal function deterioration (14.8%, 18.6%, 30.3%, 44.0%, and 48.8% for CKD stages 1-5, respectively).The clinical benefit of anticoagulation therapy was most prominent in patients with CKD 1 (hazard ratio [HR] 0.49, 95% confidence interval [CI] 0.37-0.67), 2 (HR 0.64 CI 0.54-0.76), and 3 (HR 0.64 CI 0.54-0.76), but not in CKD 4 (HR 0.86, CI 0.57-1.28) and 5 (HR 0.81, CI 0.47-1.40). Among patients with CKD, the benefit of anticoagulation therapy was only evident in those with a high risk of embolism (CHA₂DS₂-VASc score ≥ 4, HR 0.25, CI 0.08-0.80).

CONCLUSION

Advanced CKD is associated with a higher risk of NACE. The clinical benefit of anticoagulation therapy was reduced with the increasing CKD stage.

Features of Clinical Complexity in European Patients with Atrial Fibrillation: A Report from a European Observational Prospective AF Registry

There is increasing concern regarding impact of clinical complexity in patients with atrial fibrillation (AF). We explored the impact of different clinical complexity features in AF patients. We analyzed patients from a prospective, observational, multicentre Europe-wide AF registry. Features of clinical complexity among patients with CHA₂DS₂-VASc ≥2 were: i) history of bleeding; ii) frailty; iii) chronic kidney disease (CKD); iv) ≥2 features. A total of 10,169 patients were analysed. Of these, 141 (1.4%) had history of bleeding, 954 (9.4%) were frail, 1,767 (17.4%) had CKD and 1,253 (12.3%) had ≥2 features. All features of clinical complexity were less treated with OAC. History of bleeding (HR 1.94, 95% CI 1.32-2.85), frailty (HR 1.38, 95% CI 1.11-1.71), CKD (HR 1.50, 95% 1.28-1.75) and ≥2 features (HR 2.08, 95% CI 1.73-2.51) were associated with outcomes. Presence of features of clinical complexity is associated with lower use of OAC and higher risk of outcomes.

New use for an old drug: Metformin and atrial fibrillation

Lal and colleagues¹ reported an integrative approach-combining transcriptomics, iPSCs, and epidemiological evidence-to identify and repurpose metformin, a main first-line medication for the treatment of type 2 diabetes, as an effective risk reducer for atrial fibrillation.