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Remnant cholesterol and new-onset atrial fibrillation: The Atherosclerosis Risk in Communities study
Xiaolan Ouyang1, Xixiang Tang2, Long Peng1
1Department of Cardiovascular Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Insights
Higher remnant cholesterol (RC) levels, especially baseline and variable RC, increase the risk of developing atrial fibrillation (AF). This study clarifies the link between RC characteristics and new-onset AF.
Area of Science:
- Cardiovascular Medicine
- Epidemiology
- Biochemistry
Background:
- The association between remnant cholesterol (RC) and atrial fibrillation (AF) requires further investigation.
- Understanding this relationship is crucial for predicting and preventing AF.
Purpose of the Study:
- To comprehensively explore the association between various remnant cholesterol (RC) characteristics and the incidence of new-onset atrial fibrillation (AF).
Main Methods:
- Analysis of data from the Atherosclerosis Risk in Communities (ARIC) study across five follow-up visits.
- Multidimensional evaluation of RC including baseline level, variability, cumulative exposure, and trajectory.
- Cox proportional hazards analyses to assess the relationship between RC characteristics and AF incidence in two cohorts.
Main Results:
- Elevated baseline RC and RC variability were significantly associated with an increased risk of new-onset AF.
- The highest quartile of baseline RC showed a hazard ratio of 1.16 (P=.039), and RC variability showed 1.30 (P<.001).
- Cumulative RC and high-increasing RC trajectory indicated a trend toward heightened AF risk, though not statistically significant.
Conclusions:
- Higher remnant cholesterol (RC) levels, particularly baseline levels and variability, are linked to an increased risk of developing atrial fibrillation (AF).
- These findings highlight RC as a potential risk factor for AF.
Background:
The relationship between remnant cholesterol (RC) and atrial fibrillation (AF) remains unclear.
Objective:
The purpose of this study was to comprehensively explore the association between RC characteristics and new-onset AF.
Methods:
Data from 5 follow-up visits of the ARIC (Atherosclerosis Risk in Communities) study were analyzed. RC were multidimensionally evaluated in 4 characteristics: baseline level, variability, cumulative exposure, and trajectory. Baseline RC was obtained from the initial visit (V1), and new-onset AF was monitored in V2 to V5 (cohort 1, n = 14,450). RC variability, cumulative RC, and RC trajectory were calculated by RC values gathered from V1 to V3, and new-onset AF was monitored in V4 and V5 (cohort 2, n = 11,012). Participants were divided into 4 groups based on quartiles or trajectories. Cox proportional hazards analyses were used to investigate the relationship between RC characteristics and AF.
Results:
Following median follow-up of 22.39 years in cohort 1 and 16.71 years in cohort 2, a total of 1993 AF events in cohort 1 and 1571 in cohort 2 were identified. Participants with the highest quartile exhibited an elevated risk of new-onset AF, with the multivariable-adjusted hazard ratios of 1.16 (P = .039) for baseline RC and 1.30 (P < .001) for RC variability. Although the highest quartile of cumulative RC (P = .241) and the high-increasing trajectory (P = .210) did not demonstrate a statistically significant association with AF occurrence, they indicate a trend toward heightened risk.
Conclusion:
Our findings reveal that higher levels of RC, particularly at baseline and in variability, are associated with an increased risk of AF.
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