Supraventricular premature beats and risk of new-onset atrial fibrillation in coronary artery disease

被引:8
作者
Nortamo, Santeri
Kentta, Tuomas V.
Ukkola, Olavi
Huikuri, Heikki V.
Perkiomaki, Juha S.
机构
[1] Univ Oulu, Med Res Ctr Oulu, Res Unit Internal Med, Oulu, Finland
[2] Oulu Univ Hosp, Oulu, Finland
关键词
atrial fibrillation; premature atrial contraction; supraventricular premature beats; supraventricular runs; ECTOPIC BEATS; PULMONARY VEINS; METAANALYSIS; PREDICT; STROKE; PREVENTION; INITIATION; COMPLEXES; TRIALS;
D O I
10.1111/jce.13304
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: The significance of premature atrial contraction (PAC) count and supraventricular runs (SVR) for the risk of development of new-onset atrial fibrillation (AF) in patients with coronary artery disease (CAD) is not well established. Methods: The Innovation to Reduce Cardiovascular Complications of Diabetes at the Intersection (ARTEMIS) study cohort consisted of 1,946 patients with CAD who underwent clinical and echocardiographic examinations, 24-hour ambulatory ECG monitoring, and laboratory tests. After excluding patients who were not in sinus rhythm at baseline or were lost from the follow-up, the present study included 1,710 patients. SVR was defined as at least four PACs in a row with a duration <30 seconds. Results: During a follow-up for an average 5.6 +/- 1.5 years, new-onset AF was identified in 143 (8.4%) patients. In the univariate analysis, both SVR and PAC count were associated with the development of new-onset AF. When SVR and PAC count were adjusted with the established AF risk markers of the modified CHARGE-AF model in the Cox multivariate regression analysis, both parameters remained significant predictors of the occurrence of new-onset AF (HR = 2.529, 95% CI = 1.763-3.628, P < 0.001 and HR = 8.139 for >= 1,409 PACs [the fourth quartile] vs. = 507 PACs [the first quartile], 95 % CI = 3.967-16.696, P < 0.001, respectively). Together these parameters improved the C-index of the established AF risk model from 0.649 to 0.718, P < 0.001. Conclusion: Including SVR and PAC count to the established AF risk model improves the discrimination accuracy in predicting AF in patients with CAD.
引用
收藏
页码:1269 / 1274
页数:6
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