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Record W2146354688 · doi:10.1177/1741826711426637

Addressing the growing burden of atrial fibrillation: evidence, sustainability and accessibility more important than territory

2012· letter· en· W2146354688 on OpenAlexaff
Alexander M. Clark, Zoe Hsu

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2012
Typeletter
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineAtrial fibrillationSustainabilityIntensive care medicineCardiology

Abstract

fetched live from OpenAlex

The systematic review by Lowres and colleagues1 describes best current evidence on lifestyle interventions in atrial fibrillation (AF) patients. The findings are noteworthy, encouraging and tantalizing. The promise of lifestyle interventions is evident in the review. Although the review only included five trials of moderate quality, the findings are broadly positive. Lowres et al.1 found the interventions, which focused predominantly on exercise, reduced heart rate at rest (9–15%) and during moderate exercise (6–9%), and improved exercise capacity and health-related quality of life in AF patients. The review also drew attention to important trends. The comparatively low volume and quality of research into the interventions is in inverse proportion to the current and future AF burden. In high-income countries, the prevalence of AF will double over the next 40 years.2 As with heart failure (HF), the increasing burden of AF has its roots in rising life expectancy.2 Risk of AF increases 25-fold from ages 55–85 years3 and almost 1 in 5 people aged 85 or over have AF.3 Rising obesity levels compound these patterns. A recent high-quality meta-analysis of 16 epidemiological studies identified that obesity increases risk of AF by 49% (RR: 1.49, 95% CI:1.36 to 1.64).4 Effective non-pharmacological interventions for people with AF are needed to address this large and growing burden. Most of the extensive and rising costs of providing treatment to the growing population with AF arise from hospitalization.5 Though a range of effective medicines exists for patients with AF, there is consistent evidence of under-prescription of anticoagulation drugs to patients at high risk of stroke.6 Medication non-compliance also occurs in around 30% of patients and is associated with adverse psychosocial health.7 Non-pharmacological interventions aimed at reducing the AF burden should not only promote physical activity but also include other components including weight, psychosocial health, medication reviews and management, help seeking, smoking and self-care skills. Family members who may assist with ongoing self-care should also be included in these interventions. Well-designed randomized trials of lifestyle interventions in AF populations are needed to establish with more precision the size of any benefits. Key outcomes of future trials should include: hospitalization, quality of life and return to work. Interventions should incorporate cost-benefit analyses and not exclude patients based on age. Where possible, blinding of assessors of outcomes should be incorporated to reduce the likelihood of bias. Trials are needed to test interventions using different methods and in different venues. Interventions using technology such as the internet, telecommunications and telehealth offer economical and potentially more accessible alternatives to complement face-to-face provision. General practice, community and home-based programs offer viable alternatives to centralized provision of programs in hospitals.8 In this research, the components of interventions must be developed well and described comprehensively.9,10 Prior to evaluation in full-scale trials, interventions should be designed carefully to ensure patient needs and preferences are adequately addressed.10 Qualitative research and surveys can be used to ascertain the nature and prevalence of particular patient needs that programs need to focus on. As potentially important determinants of outcomes, the effects of exercise timing, type and duration should be examined.11 In the present economic climate, the pressures to integrate health services for patients with different forms of cardiovascular disease are likely to increase. To ensure sustainability, cardiac rehabilitation and HF disease management services should be amalgamated into generic but responsive ‘Cardiac Self-care and Prevention’ programs, including those programs that have so far been developed, evaluated and provided discretely as secondary prevention. There is considerable potential for lifestyle programs for patients with AF to be integrated into such programs. While the nature and needs of patients with acute coronary syndrome (ACS), HF and AF remain different, this integration is advisable because of the shared dimensions of self-care across ACS, HF and AF concerning weight, physical activity, medication management and psychosocial health. Depression, sedentary behaviors, social isolation and low compliance with medicines are also common but potentially avoidable barriers to better health outcomes across these conditions. Future programs for AF should be accessible to all patient groups, irrespective of age, sex, wealth or location. Comparable with HF and ACS,12 the fastest growing population with AF is older women with heart disease. Yet, this population is consistently one of the least likely to participate in lifestyle interventions.13 Other frequently excluded groups also tend to have higher needs, including patients from rural settings, ethnic minorities and those on low incomes. While proponents of different lifestyle interventions should compare and contrast the effects of various program types, patient accessibility must trump clinical or research territory. Interventions should not be compared to each other with the overriding aim of identifying the definitive single best type of program for all patients. Rather, different kinds of programs should be seen as offering alternative modes of provision from which patients may select based on their location, needs and preferences. In conclusion, Lowres et al.1 demonstrated that lifestyle interventions offer considerable promise for addressing the growing health needs of AF patients. Despite this, the authors also identified a current shortage of effective intervention programs. Future interventions should prioritize both accessibility and sustainability while promoting optimal self-care, psychosocial wellbeing, quality of life and return to work either discretely or as part of larger programs for patients with other forms of heart disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.026
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0260.027
Insufficient payload (model declined to judge)0.0070.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.121
GPT teacher head0.376
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2012
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