Atrial fibrillation patterns and their cardiovascular risk profiles in the general population: the Rotterdam study.
Anthropometrics
Arrhythmia
Atrial fibrillation
Atrial fibrillation patterns
Repeated measurements
Risk factors
Journal
Clinical research in cardiology : official journal of the German Cardiac Society
ISSN: 1861-0692
Titre abrégé: Clin Res Cardiol
Pays: Germany
ID NLM: 101264123
Informations de publication
Date de publication:
Jun 2023
Jun 2023
Historique:
received:
16
03
2022
accepted:
20
07
2022
medline:
7
6
2023
pubmed:
11
8
2022
entrez:
10
8
2022
Statut:
ppublish
Résumé
Clinical guidelines categorize atrial fibrillation (AF) based on the temporality of AF events. Due to its dependence on event duration, this classification is not applicable to population-based cohort settings. We aimed to develop a simple and standardized method to classify AF patterns at population level. Additionally, we compared the longitudinal trajectories of cardiovascular risk factors preceding the AF patterns, and between men and women. Between 1990 and 2014, participants from the population-based Rotterdam study were followed for AF status, and categorized into 'single-documented AF episode', 'multiple-documented AF episodes', or 'long-standing persistent AF'. Using repeated measurements we created linear mixed-effects models to assess the longitudinal evolution of risk factors prior to AF diagnosis. We included 14,061 participants (59.1% women, mean age 65.4 ± 10.2 years). After a median follow-up of 9.4 years (interquartile range 8.27), 1,137 (8.1%) participants were categorized as 'single-documented AF episode', 208 (1.5%) as 'multiple-documented AF episodes', and 57 (0.4%) as 'long-standing persistent AF'. In men, we found poorer trajectories of weight and waist circumference preceding 'long-standing persistent AF' as compared to the other patterns. In women, we found worse trajectories of all risk factors between 'long-standing persistent AF' and the other patterns. We developed a standardized method to classify AF patterns in the general population. Participants categorized as 'long-standing persistent AF' showed poorer trajectories of cardiovascular risk factors prior to AF diagnosis, as compared to the other patterns. Our findings highlight sex differences in AF pathophysiology and provide insight into possible risk factors of AF patterns.
Sections du résumé
BACKGROUND
BACKGROUND
Clinical guidelines categorize atrial fibrillation (AF) based on the temporality of AF events. Due to its dependence on event duration, this classification is not applicable to population-based cohort settings. We aimed to develop a simple and standardized method to classify AF patterns at population level. Additionally, we compared the longitudinal trajectories of cardiovascular risk factors preceding the AF patterns, and between men and women.
METHODS
METHODS
Between 1990 and 2014, participants from the population-based Rotterdam study were followed for AF status, and categorized into 'single-documented AF episode', 'multiple-documented AF episodes', or 'long-standing persistent AF'. Using repeated measurements we created linear mixed-effects models to assess the longitudinal evolution of risk factors prior to AF diagnosis.
RESULTS
RESULTS
We included 14,061 participants (59.1% women, mean age 65.4 ± 10.2 years). After a median follow-up of 9.4 years (interquartile range 8.27), 1,137 (8.1%) participants were categorized as 'single-documented AF episode', 208 (1.5%) as 'multiple-documented AF episodes', and 57 (0.4%) as 'long-standing persistent AF'. In men, we found poorer trajectories of weight and waist circumference preceding 'long-standing persistent AF' as compared to the other patterns. In women, we found worse trajectories of all risk factors between 'long-standing persistent AF' and the other patterns.
CONCLUSION
CONCLUSIONS
We developed a standardized method to classify AF patterns in the general population. Participants categorized as 'long-standing persistent AF' showed poorer trajectories of cardiovascular risk factors prior to AF diagnosis, as compared to the other patterns. Our findings highlight sex differences in AF pathophysiology and provide insight into possible risk factors of AF patterns.
Identifiants
pubmed: 35948741
doi: 10.1007/s00392-022-02071-6
pii: 10.1007/s00392-022-02071-6
pmc: PMC10241730
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
736-746Subventions
Organisme : ZonMw
ID : Gender and prevention grant (555003017)
Pays : Netherlands
Informations de copyright
© 2022. The Author(s).
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