TY - JOUR
T1 - Electrocardiographic Predictors of Incident Atrial Fibrillation
AU - Nguyen, Kaylin T.
AU - Vittinghoff, Eric
AU - Dewland, Thomas A.
AU - Mandyam, Mala C.
AU - Stein, Phyllis K.
AU - Soliman, Elsayed Z.
AU - Heckbert, Susan R.
AU - Marcus, Gregory M.
N1 - Funding Information:
This work was made possible by the Joseph Drown Foundation, Los Angeles, California (to Dr. Marcus). This publication was made possible in part by the Clinical and Translational Research Fellowship Program, a program of UCSF's Clinical and Translational Science Institute (CTSI), San Francisco, California, that is sponsored in part by the National Center for Advancing Translational Sciences, National Institutes of Health (NIH), Bethesda, Maryland, through UCSF-CTSI grant number TL1 TR000144 and the Doris Duke Charitable Foundation (DDCF), New York, New York and by R25MD006832 from the National Institute on Minority Health and Health Disparities (to Dr. Nguyen). Grants and contracts for the Cardiovascular Health Study include contracts HHSN268201200036 C, HHSN268200800007 C, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, and N01HC85086 and grant U01HL080295 from the National Heart, Lung, and Blood Institute, Bethesda, Maryland, with additional contribution from the National Institute of Neurological Disorders and Stroke, Bethesda, Maryland. Additional support was provided by R01AG023629 from the National Institute on Aging, Bethesda, Maryland. A full list of principal Cardiovascular Health Study investigators and institutions can be found at CHS-NHLBI.org . The contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH, UCSF, or the DDCF.
Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2016
Y1 - 2016
N2 - Atrial fibrillation (AF) is likely secondary to multiple different pathophysiological mechanisms that are increasingly but incompletely understood. Motivated by the hypothesis that 3 previously described electrocardiographic predictors of AF identify distinct AF mechanisms, we sought to determine if these electrocardiographic findings independently predict incident disease. Among Cardiovascular Health Study participants without prevalent AF, we determined whether left anterior fascicular block (LAFB), a prolonged QTC, and atrial premature complexes (APCs) each predicted AF after adjusting for each other. We then calculated the attributable risk in the exposed for each electrocardiographic marker. LAFB and QTC intervals were assessed on baseline 12-lead electrocardiogram (n = 4,696). APC count was determined using 24-hour Holter recordings obtained in a random subsample (n = 1,234). After adjusting for potential confounders and each electrocardiographic marker, LAFB (hazard ratio [HR] 2.1, 95% confidence interval [CI] 1.1 to 3.9, p = 0.023), a prolonged QTC (HR 2.5, 95% CI 1.4 to 4.3, p = 0.002), and every doubling of APC count (HR 1.2, 95% CI 1.1 to 1.3, p <0.001) each remained independently predictive of incident AF. The attributable risk of AF in the exposed was 35% (95% CI 13% to 52%) for LAFB, 25% (95% CI 0.6% to 44%) for a prolonged QTC, and 34% (95% CI 26% to 42%) for APCs. In conclusion, in a community-based cohort, 3 previously established electrocardiogram-derived AF predictors were each independently associated with incident AF, suggesting that they may represent distinct mechanisms underlying the disease.
AB - Atrial fibrillation (AF) is likely secondary to multiple different pathophysiological mechanisms that are increasingly but incompletely understood. Motivated by the hypothesis that 3 previously described electrocardiographic predictors of AF identify distinct AF mechanisms, we sought to determine if these electrocardiographic findings independently predict incident disease. Among Cardiovascular Health Study participants without prevalent AF, we determined whether left anterior fascicular block (LAFB), a prolonged QTC, and atrial premature complexes (APCs) each predicted AF after adjusting for each other. We then calculated the attributable risk in the exposed for each electrocardiographic marker. LAFB and QTC intervals were assessed on baseline 12-lead electrocardiogram (n = 4,696). APC count was determined using 24-hour Holter recordings obtained in a random subsample (n = 1,234). After adjusting for potential confounders and each electrocardiographic marker, LAFB (hazard ratio [HR] 2.1, 95% confidence interval [CI] 1.1 to 3.9, p = 0.023), a prolonged QTC (HR 2.5, 95% CI 1.4 to 4.3, p = 0.002), and every doubling of APC count (HR 1.2, 95% CI 1.1 to 1.3, p <0.001) each remained independently predictive of incident AF. The attributable risk of AF in the exposed was 35% (95% CI 13% to 52%) for LAFB, 25% (95% CI 0.6% to 44%) for a prolonged QTC, and 34% (95% CI 26% to 42%) for APCs. In conclusion, in a community-based cohort, 3 previously established electrocardiogram-derived AF predictors were each independently associated with incident AF, suggesting that they may represent distinct mechanisms underlying the disease.
UR - http://www.scopus.com/inward/record.url?scp=84979517889&partnerID=8YFLogxK
U2 - 10.1016/j.amjcard.2016.06.008
DO - 10.1016/j.amjcard.2016.06.008
M3 - Article
C2 - 27448684
AN - SCOPUS:84979517889
SN - 0002-9149
VL - 118
SP - 714
EP - 719
JO - American Journal of Cardiology
JF - American Journal of Cardiology
IS - 5
ER -