ArticleHeart rhythm O22024
Use of continuous cardiac monitoring to assess the influence of atrial fibrillation burden and patterns on patient symptoms and healthcare utilization: The DEFINE AFib study.
Article in Heart rhythm O2, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Top developments in clinical cardiac electrophysiology-2025.Heart rhythm O2 · 2026Review
- Advances in cardiac devices and bioelectronics augmented with artificial intelligence.The Journal of physiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Background: Atrial fibrillation (AF) has a significant impact on health and quality of life. The relationship of AF burden and temporal patterns of AF on patient symptoms, outcomes, and healthcare utilization is unknown. Insertable cardiac monitors (ICMs) are a strategic and as yet untapped, tool to investigate these relationships. Objective: The DEFINE Atrial Fibrillation (DEFINE AFib) study will evaluate how AF burden and patterns are associated with changes in AF-related healthcare utilization (AFHCU) and patient-reported quality of life. Methods: This is a prospective, observational, multicenter study with a unique design that supports a complete method of assessing AF as a multifactorial disease. Patients with AF implanted with an ICM will be enrolled in the study and managed through an app-based research platform on their smartphone. Patients will be remotely monitored and patient-reported outcomes will be collected via the app. AFHCU will be confirmed via the participant's medical record. Results: The primary analysis will evaluate whether summary and episodic measurements collected by ICMs are associated with changes in AFHCU. Secondary analyses will determine the relationship between AF characteristics and quality of life, timing and severity of AF-related complications, patient engagement, reliability of patient-reported outcomes, data from other digital rhythm detectors, and heterogeneity in care quality and AFHCU. Conclusion: The DEFINE AFib study will provide valuable insights into the association between dynamic measures of AF and AFHCU in a patient population with known AF. The results may demonstrate the impact of ICM-detected AF on patient outcomes and help isolate novel AF patterns predictive of clinical risk.
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Registered trials
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