Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2012 Feb;5(1):155-62.
doi: 10.1161/CIRCEP.111.966804. Epub 2012 Jan 6.

Blood lipid levels, lipid-lowering medications, and the incidence of atrial fibrillation: the atherosclerosis risk in communities study

Affiliations
Comparative Study

Blood lipid levels, lipid-lowering medications, and the incidence of atrial fibrillation: the atherosclerosis risk in communities study

Faye L Lopez et al. Circ Arrhythm Electrophysiol. 2012 Feb.

Abstract

Background: Several cardiovascular risk factors have been associated with the risk of atrial fibrillation (AF). Limited and inconsistent evidence exists on the association of blood lipid levels and lipid-lowering medication use with AF risk.

Methods and results: We analyzed 13 969 participants (25% African American, 45% men) free of AF at baseline from the Atherosclerosis Risk in Communities study. Fasting high-density lipoprotein cholesterol (HDLc), low-density lipoprotein cholesterol (LDLc), triglycerides, and total cholesterol were measured at baseline (1987-1989) and each of 3 follow-up visits. The incidence of AF was ascertained through 2007. The association of the use of statins and other lipid-lowering medications with AF was estimated in 13 044 Atherosclerosis Risk in Communities participants attending visit 2 (1990-1992), adjusting for covariates from the previous visit. During a median follow-up of 18.7 years, there were 1433 incident AF cases. Multivariable hazard ratios (HRs) and 95% CIs of AF associated with a 1-SD increase in lipid levels were as follows: HDLc, 0.97 (0.91-1.04); LDLc, 0.90 (0.85-0.96); total cholesterol, 0.89 (0.84-0.95); and triglycerides, 1.00 (0.96-1.04). Participants taking lipid-lowering medications had an adjusted HR (95% CI) of AF of 0.96 (0.82-1.13) compared with those not taking medications, whereas those taking statins had an adjusted HR of 0.91 (0.66-1.25) compared with those taking other lipid-lowering medications.

Conclusions: Higher levels of LDLc and total cholesterol were associated with a lower incidence of AF. However, HDLc and triglycerides were not independently associated with AF incidence. No association was found between the use of lipid-lowering medications and incident AF.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: None

Figures

Figure 1
Figure 1
Hazard Ratio and 95% confidence intervals of atrial fibrillation according to lipid level measurements at each visit, and as a time-varying variable, ARIC, 1987–2007. Results from separate Cox proportional hazard models adjusted for age, sex, race, study site, education, income, height, smoking status, drinking status, body mass index, systolic blood pressure, diastolic blood pressure, use of antihypertensive medication, diabetes, prevalent stroke, prevalent heart failure, prevalent coronary heart disease, and use of cholesterol medications
Figure 1
Figure 1
Hazard Ratio and 95% confidence intervals of atrial fibrillation according to lipid level measurements at each visit, and as a time-varying variable, ARIC, 1987–2007. Results from separate Cox proportional hazard models adjusted for age, sex, race, study site, education, income, height, smoking status, drinking status, body mass index, systolic blood pressure, diastolic blood pressure, use of antihypertensive medication, diabetes, prevalent stroke, prevalent heart failure, prevalent coronary heart disease, and use of cholesterol medications
Figure 1
Figure 1
Hazard Ratio and 95% confidence intervals of atrial fibrillation according to lipid level measurements at each visit, and as a time-varying variable, ARIC, 1987–2007. Results from separate Cox proportional hazard models adjusted for age, sex, race, study site, education, income, height, smoking status, drinking status, body mass index, systolic blood pressure, diastolic blood pressure, use of antihypertensive medication, diabetes, prevalent stroke, prevalent heart failure, prevalent coronary heart disease, and use of cholesterol medications
Figure 1
Figure 1
Hazard Ratio and 95% confidence intervals of atrial fibrillation according to lipid level measurements at each visit, and as a time-varying variable, ARIC, 1987–2007. Results from separate Cox proportional hazard models adjusted for age, sex, race, study site, education, income, height, smoking status, drinking status, body mass index, systolic blood pressure, diastolic blood pressure, use of antihypertensive medication, diabetes, prevalent stroke, prevalent heart failure, prevalent coronary heart disease, and use of cholesterol medications
Figure 2
Figure 2
Kaplan Meier survival curves for atrial fibrillation (AF) by categories of LDLc cholesterol (<100, 100–159, ≥160 mg/dL) from baseline (top panel) and from visit 4 (bottom panel), ARIC 1987–2007 and 1996–2007, respectively. Cox proportional hazards model excluding those on cholesterol-lowering medications at baseline, and adjusted for age, sex, study site, education, income, height, smoking status, drinking status, body mass index, systolic blood pressure, diastolic blood pressure, use of antihypertensive medication, diabetes, prevalent stroke, prevalent heart failure, and prevalent coronary heart disease. P for trend is considered across categories. The number of subjects at risk throughout the duration of the study follow-up are shown on the x-axis.
Figure 2
Figure 2
Kaplan Meier survival curves for atrial fibrillation (AF) by categories of LDLc cholesterol (<100, 100–159, ≥160 mg/dL) from baseline (top panel) and from visit 4 (bottom panel), ARIC 1987–2007 and 1996–2007, respectively. Cox proportional hazards model excluding those on cholesterol-lowering medications at baseline, and adjusted for age, sex, study site, education, income, height, smoking status, drinking status, body mass index, systolic blood pressure, diastolic blood pressure, use of antihypertensive medication, diabetes, prevalent stroke, prevalent heart failure, and prevalent coronary heart disease. P for trend is considered across categories. The number of subjects at risk throughout the duration of the study follow-up are shown on the x-axis.

Comment in

References

    1. Go AS, Hylek EM, Phillips KA, Chang Y, Henault LE, Selby JV, Singer DE. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. JAMA. 2001;285:2370–2375. - PubMed
    1. Benjamin EJ, Levy D, Vaziri SM, D'Agostino RB, Belanger AJ, Wolf PA. Independent risk factors for atrial fibrillation in a population-based cohort. The Framingham Heart Study. JAMA. 1994;271:840–844. - PubMed
    1. Alonso A, Agarwal SK, Soliman EZ, Ambrose M, Chamberlain AM, Prineas RJ, Folsom AR. Incidence of atrial fibrillation in whites and African-Americans: the Atherosclerosis Risk in Communities (ARIC) study. Am Heart J. 2009;158:111–117. - PMC - PubMed
    1. Sanoski CA. Prevalence, pathogenesis, and impact of atrial fibrillation. Am J Health Syst Pharm. 2010;67:S11–S16. - PubMed
    1. Wang TJ, Parise H, Levy D, D'Agostino RBS, Wolf PA, Vasan RS, Benjamin EJ. Obesity and the risk of new-onset atrial fibrillation. JAMA. 2004;292:2471–2477. - PubMed

Publication types

MeSH terms