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Smart-device based atrial fibrillation risk factor tracking for optimising risk factor modification in patients with atrial fibrillation – the SMART-AF study

Smart-device based atrial fibrillation risk factor tracking for optimising risk factor modification in patients with atrial fibrillation – the SMART-AF study

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12625000481471
Enrollment
5
Registered
2025-05-19
Start date
2025-11-20
Completion date
2026-07-31
Last updated
2026-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

The SMART-AF study will enroll patients with atrial fibrillation, half randomly assigned access to a digital tracking platform to help participants engage and track their progress with optimal RFM for atrial fibrillation, half randomised to control. The aim of this study is to investigate the effiacy of a digital tracking platform to help participants engage, track and meet their progress towards optimal RFM, and it's relationship with AF outcomes.

Interventions

Background: The treatment of cardiovascular risk factors, termed risk factor modification (RFM), has been identified as a crucial component of atrial fibrillation management, This study seeks to utilise the accessibility and advances in technology to help participants engage and track their progress towards optimal RFM. In addition to standard written and verbal information on the importance of RFM for AF, the intervention will consist of access to a digital RFM tracking platform. This platfor

Background: The treatment of cardiovascular risk factors, termed risk factor modification (RFM), has been identified as a crucial component of atrial fibrillation management, This study seeks to utilise the accessibility and advances in technology to help participants engage and track their progress towards optimal RFM. In addition to standard written and verbal information on the importance of RFM for AF, the intervention will consist of access to a digital RFM tracking platform. This platform will be a web-based tool that can be accessed on a phone or computer, aiming for at least weekly engagement. Adherence to the intervention can be assessed through weekly participant input into the digital RFM tracking platform. Based on performance compared to ideal RFM targets, participants will receive a weekly composite score (out of 100), with a score of 100 aligned with meeting RFM targets across the seven domains (body mass index (BMI), Hba1c, obstructive sleep apnea (OSA) status/continuous positive airway pressure (CPAP) use, alcohol use, cigarette use, exercise, blood pressure). Following RFM logging, through the web-based application participants will receive a visual representation of week-to-week progress and advice on how to best improve their RFM forming a "digital care plan". Written and verbal information part of the digital care plan will be developed for this study. The intervention will be 12 months in duration.

Sponsors

Alfred Health
Lead SponsorHospital

Study design

Allocation
Randomised controlled trial
Intervention model
Parallel
Primary purpose
Treatment
Masking
Open (masking not used)

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Age>18 years Persistent or paroxysmal AF >2 modifiable AF risk factors • BMI>27kg/m2 • Hypertension, systolic blood pressure >140mmHg • HbA1c >7% • OSA with non-nightly use of CPAP • Alcohol intake greater than or equal to 10SD/week • Current daily smoker (>10 cig/day) Total RFM score of <80 Willing to adhere to follow up requirements Able to consent & Medicare eligibility

Exclusion criteria

Severe valvular disease. History of myocardial infarction or cardiac surgery in previous 12 months. No access to internet Any condition with expected survival < 2 years Unable to provide informed consent or follow-up with requirements AF ablation in the past 6 months

Outcome results

None listed

Source: ANZCTR · Data processed: Apr 4, 2026