Mobile health technology integrated care in older atrial fibrillation patients: a subgroup analysis of the mAFA-II randomised clinical trial

Efficacy of the ABC Pathway for Integrated Care Across Phenotypes of Patients with Atrial Fibrillation: A Latent-Class Analysis Report from the mAFA-II Clinical Trial

BACKGROUND

The mAFA-II cluster randomised trial demonstrated the efficacy of a mobile health-technology implemented 'Atrial fibrillation Better Care' (ABC) pathway (mAFA intervention) for integrated care management of patients with AF.

OBJECTIVE

To evaluate the effect of mAFA intervention across phenotypes of patients with AF.

DESIGN

We conducted a latent-class analysis (LCA) according to eight variables, including age and comorbidities.

PARTICIPANTS

The mAFA-II trial enrolled AF patients between June 2018 and August 2019 across 40 centres in China.

MAIN MEASURES

We evaluated the interaction between the groups identified through LCA, and the effect of mAFA intervention on the risk of the primary composite outcome of all-cause death, stroke/thromboembolism, and rehospitalisations. Results were expressed as adjusted hazard ratio (aHR) and 95% confidence intervals (95% CI).

KEY RESULTS

Across the 3324 patients included in the trial (mean age 68.5 ± 13.9 years, 38.0% females), we identified three phenotypes: (i) low morbidity phenotype (n = 1234, 37.1%), (ii) hypertensive/coronary artery disease (CAD) phenotype (n = 1534, 46.2%), and (iii) mixed morbidity phenotype (n = 556, 16.7%). The effect of mAFA intervention on the primary outcome appeared greater in the low morbidity phenotype (aHR, 0.08; 95% CI 0.02-0.33) compared to the hypertensive/CAD (aHR, 0.30; 95% CI 0.16-0.58) and the mixed morbidity phenotype (aHR, 0.68; 95% CI 0.37-1.24), with a statistically significant interaction (pint = 0.004).

CONCLUSIONS

In patients with AF, the ABC pathway improved prognosis across different comorbidity phenotypes, although with some differences in the magnitude of risk reduction. Patients with more complex phenotypes require further efforts to improve their outcomes, considering their high baseline risk of adverse events.

TRIAL REGISTRATION

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

Global voices on atrial fibrillation care in China

An aging population, coupled with the high prevalence of physical inactivity, obesity, dyslipidemia, hypertension, and diabetes mellitus, has led to a significant increase in the incidence and prevalence of atrial fibrillation (AF) in China. Managing clinical complexity of AF patients poses significant challenges. Current guidelines advocate for holistic or integrated management using the ABC (Atrial fibrillation Better Care) pathway. Compliance with the ABC pathway has demonstrated promising benefit in improving clinical outcomes. The mAFA II trial (the mHealth technology for improved screening, patient involvement, and optimized integrated care in Atrial Fibrillation) explores the potential of a mobile health technology-supported integrated care approach in reducing the risks of rehospitalization and clinical adverse events. However, disparities persist between urban and rural areas, with the likelihood of rural older individuals by themselves using intelligent devices being extremely low. Therefore, the application prospects of the mobile AF application strategy in rural areas are greatly limited. The ongoing MIRACLE-AF trial (A Novel Model of Integrated Care of Older Patients With Atrial Fibrillation in Rural China) aims to address unique healthcare challenges faced by rural older patients with AF through a novel integrated care model, which is led by village doctors and supported by a digital health platform. In conclusion, innovative integrated care approaches using digital technologies offer promising solutions to enhance AF care across diverse settings in China, catering to the needs of both urban and rural populations.

Antiarrhythmic drugs for atrial fibrillation in the outpatient setting

With burgeoning evidence for early rhythm control in patients with atrial fibrillation (AF), the management of AF in the outpatient setting has become more challenging. The primary care clinician often serves as the frontline in the pharmacologic management of AF. Because of drug interactions and the risk of proarrhythmia, many clinicians remain hesitant about the initiation and chronic management of antiarrhythmic drug prescriptions. However, with the likely increased use of antiarrhythmics for early rhythm control, understanding and familiarity with these medications have likewise become more important, especially since patients with AF probably have other non-cardiac medical conditions that can impact their antiarrhythmic therapy. In this comprehensive review, we provide informative, high-yield cases and edifying references that will help primary care providers become comfortable handling various clinical scenarios.

Mobile Health-Technology-Integrated Care for Atrial Fibrillation: A Win Ratio Analysis from the mAFA-II Randomized Clinical Trial

BACKGROUND

 The Mobile Health (mHealth) Technology for Improved Screening and Optimized Integrated Care in atrial fibrillation (AF) (mAFA-II) cluster randomized trial assessed the efficacy of an integrated care approach in improving the prognosis of AF patients. In this study, we provide a reanalysis of the trial outcomes using the win ratio (WR) approach.

METHODS

 The mAFA-II trial allocated patients to receive a mHealth-technology implemented Atrial Fibrillation Better Care (ABC) pathway (mAFA intervention) or usual care. The primary outcome was the composite of all-cause death, ischemic stroke or systemic thromboembolism, and rehospitalization. The efficacy of the mAFA intervention was analyzed according to the WR method using the unmatched pairs approach, with the components of the primary outcome analyzed hierarchically as follows: (1) all-cause death; (2) ischemic stroke or thromboembolism; (3) rehospitalization. Results were reported as WR and 95% confidence intervals (CIs). In addition, we calculated win odds (WO) and 95% CI.

RESULTS

 A total of 3,324 patients were enrolled in the mAFA-II trial and included in this analysis (1,646 allocated to mAFA intervention and 1,678 to usual care). Among 2,761,988 unmatched pairs comparisons, the number of wins was higher in the mAFA intervention group, with a WR: 2.78 (95% CI: 1.85-4.17). WO confirmed the effect of mAFA intervention, although with a lower magnitude (WO: 1.06; 95% Cl: 1.04-1.08).

CONCLUSION

 In this posthoc WR analysis of the mAFA-II trial, a mHealth-technology-implemented integrated care approach was effective in reducing the risk of the primary composite outcome of all-cause death, ischemic stroke or thromboembolism, and rehospitalization, even when prioritizing fatal events.

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.

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.

Mobile health-technology integrated care in secondary prevention atrial fibrillation patients: a post-hoc analysis from the mAFA-II randomized clinical trial

AF patients with history of thromboembolic events are at higher risk of thromboembolic recurrences, despite appropriate antithrombotic treatment. We aimed to evaluate the effect of mobile health (mHealth) technology-implemented 'Atrial fibrillation Better Care' (ABC) pathway approach (mAFA intervention) in secondary prevention AF patients. The Mobile Health Technology for Improved Screening and Optimized Integrated Care in AF (mAFA-II) cluster randomized trial enrolled adult AF patients across 40 centers in China. The main outcome was the composite outcome of stroke or thromboembolism, all-cause death, and rehospitalization. Using Inverse Probability of Treatment Weighting (IPTW), we evaluated the effect of the mAFA intervention in patients with and without prior history of thromboembolic events (i.e., ischemic stroke or thromboembolism). Among the 3324 patients enrolled in the trial, 496 (14.9%, mean age: 75.1 ± 11.4 years, 35.9% females) had a previous episode of thromboembolic event. No significant interaction was observed for the effect of mAFA intervention in patients with vs. without history of thromboembolic events [Hazard ratio, (HR): 0.38, 95% confidence interval (CI):0.18-0.80 vs. HR 0.55, 95% CI 0.17-1.76, p for interaction = 0.587); however, a trend towards lower efficacy of mAFA intervention among AF patients in secondary prevention was observed for secondary outcomes, with significant interaction for bleeding events (p = 0.034) and the composite of cardiovascular events (p = 0.015). A mHealth-technology-implemented ABC pathway provided generally consistent reduction of the risk of primary outcome in both primary and secondary prevention AF patients. Secondary prevention patients may require further specific approaches to improve clinical outcomes such as bleeding and cardiovascular events.Trial registration: WHO International Clinical Trials Registry Platform (ICTRP) Registration number ChiCTR-OOC-17014138.

The Impact of Atrial Fibrillation Treatment Strategies on Cognitive Function

There is increasing evidence to suggest that atrial fibrillation is associated with a heightened risk of dementia. The mechanism of interaction is unclear. Atrial fibrillation-induced cerebral infarcts, hypoperfusion, systemic inflammation, and anticoagulant therapy-induced cerebral microbleeds, have been proposed to explain the link between these conditions. An understanding of the pathogenesis of atrial fibrillation-associated cognitive decline may enable the development of treatment strategies targeted towards the prevention of dementia in atrial fibrillation patients. The aim of this review is to explore the impact that existing atrial fibrillation treatment strategies may have on cognition and the putative mechanisms linking the two conditions. This review examines how components of the 'Atrial Fibrillation Better Care pathway' (stroke risk reduction, rhythm control, rate control, and risk factor management) may influence the trajectory of atrial fibrillation-associated cognitive decline. The requirements for further prospective studies to understand the mechanistic link between atrial fibrillation and dementia and to develop treatment strategies targeted towards the prevention of atrial fibrillation-associated cognitive decline, are highlighted.