Total cholesterol variability and risk of atrial fibrillation: A nationwide population-based cohort study

Eun Roh1, Hye Soo Chung2, Ji Sung Lee3

  • 1Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.

Plos One
|April 25, 2019
PubMed

Insights

High total cholesterol (TC) variability, measured in various ways, is linked to a greater risk of developing atrial fibrillation (AF). This finding highlights cholesterol variability as a potential predictor for AF in adults.

Area of Science:

  • Cardiology
  • Epidemiology
  • Biostatistics

Background:

  • Long-term variability in cardiometabolic risk factors is implicated in cardiovascular disease and mortality.
  • The specific impact of total cholesterol (TC) variability on incident atrial fibrillation (AF) remains underexplored.

Purpose of the Study:

  • To investigate the association between visit-to-visit TC variability and the risk of incident AF.
  • To determine if TC variability is an independent risk factor for AF.

Main Methods:

  • Utilized the Korean National Health Insurance Service-NHIS-HEALS database, including 160,165 Korean adults.
  • Assessed TC variability using coefficients of variance (TC-CV), standard deviation (TC-SD), and variability independent of the mean (TC-VIM).
  • Employed Kaplan-Meier analysis and multivariate Cox proportional hazard models, adjusting for confounders over a median follow-up of 8.4 years.

Main Results:

  • Higher quartiles of TC variability were associated with a decreased disease-free probability for AF.
  • Multivariate analysis revealed a significant increase in AF risk with the highest TC variability quartile (HR 1.15, 95% CI 1.05-1.25 for TC-CV).
  • Consistent associations were observed across different measures of TC variability (TC-SD, TC-VIM) and in subgroup analyses.

Conclusions:

  • This study provides the first evidence linking high total cholesterol variability to an elevated risk of incident atrial fibrillation.
  • TC variability may serve as a novel risk marker for predicting AF development.
Abstract

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