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Updated: Sep 19, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Circadian patterns of atrial fibrillation and disease progression assessed by implanted loop recorders
Daniel Camillo Spona1, Ketil Jørgen Haugan2, Claus Graff3
1Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Inge Lehmanns Vej 7, 2100 Copenhagen, Denmark.
Insights
Atrial fibrillation (AF) shows circadian patterns, often starting before noon. Nighttime AF episodes are longer and slower, with distinct patient clusters exhibiting varied AF burden and progression.
Area of Science:
- Cardiology
- Chronobiology
- Medical Device Technology
Background:
- Atrial fibrillation (AF) exhibits significant heterogeneity, necessitating improved patient phenotyping.
- Understanding circadian patterns in AF can offer insights into disease characteristics and progression.
Purpose of the Study:
- To explore circadian patterns of atrial fibrillation (AF) onset and duration.
- To investigate the impact of AF timing on episode characteristics and disease progression.
Main Methods:
- Post hoc analysis of the LOOP study involving 1410 participants with risk factors for AF.
- Extraction of AF episode characteristics from implantable loop recorder (ILR) data over 39 months.
- K-means clustering to identify distinct patient groups based on AF onset times.
Main Results:
- Over 41,000 AF episodes were analyzed, with the most frequent onset at 9 a.m.
- Nighttime AF episodes (10 p.m.-7 a.m.) were longer and associated with slower ventricular rates compared to daytime episodes.
- Two patient clusters emerged: midnight-morning onset (higher AF burden, more progression) and daytime onset.
Conclusions:
- A distinct circadian pattern exists for ILR-detected AF, with a predilection for morning onset.
- AF phenotypes vary, characterized by different onset times and progression rates.
- Findings suggest exploring timed AF screening and personalized treatment strategies based on AF patterns.
Background And Aims:
The heterogeneity of atrial fibrillation (AF) necessitates better phenotyping. This study aimed to explore circadian patterns of AF and their impact on AF characteristics and progression.
Methods:
Post hoc analysis of the LOOP study randomizing 6004 older, AF-naïve persons with risk factors for AF and stroke 1:3 to receive implantable loop recorder screening or usual care. Implantable loop recorder data were extracted from 1410 participants to obtain AF episode characteristics.
Results:
A total of 41 713 AF episodes lasting at least 6 min were identified among 430 patients undergoing 39 (37-41) months of monitoring. The most frequent onset hour was 9 a.m., which was twice as likely as 9 p.m. Night-time AF episodes (onset 10 p.m.-7 a.m., 40% of all episodes) lasted longer [28 (10-104) vs 14 (8-44) min] and had slower ventricular rate [75 (60-86) vs 85 (75-100) b.p.m.] compared with daytime episodes. K-means clustering revealed two distinct groups of patients with mostly midnight-morning [median 6 a.m. (3 a.m.-11 a.m.)] and daytime [median 12 p.m. (9 a.m.-5 p.m.)], onset respectively. Patients in the midnight-morning cluster had higher AF burden [0.2 (0.1-1.2) vs 0.1 (0.0-0.4)%, P < .001] and more progression (28% vs 18% progressed to ≥24-h episodes, P = .019) compared to those in the daytime cluster.
Conclusions:
A circadian pattern was observed for ILR-detected AF, with onset most often before noon. Cluster analyses revealed distinct AF phenotypes with different patterns of onset and progression over time. These exploratory findings warrant studies investigating the timing of AF screening and the selection of patients for rhythm control vs more conservative strategies.
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