BACKGROUND: Interatrial block (IAB) has been previously shown to predict atrial fibrillation (AF) in cardiac populations. This study sought to evaluate the relationship between IAB and new-onset AF in a population of patients undergoing clinically indicated coronary angiography who received carotid ultrasonography. METHODS: A population of 355 subjects undergoing coronary angiography and carotid ultrasound were retrospectively studied. Common carotid artery (CCA) far-wall intima-media thickness (CIMT), and total carotid plaque area were measured. Coronary artery disease was measured by angiography and IAB by electrocardiograph (ECG). RESULTS: The mean population age was 64.4 years, 70.4% male, mean BMI 29.9 kg/m2. IAB was a predictor of new-onset AF (OR =2.40, 95% CI: 1.33-4.29; P=0.003). There was a significant difference in AF free survival time between patients with IAB and without IAB via Cox proportional hazard analysis [52.9 months (95% CI: 47.1-58.7 months) vs. 62.6 months (95% CI: 58.8-66.5 months); P=0.006]. Patients with IAB had a significantly greater CIMT (0.883±0.193 vs. 0.829±0.192 mm; P=0.013) and a higher prevalence of significant (>70%) right coronary artery lesions than patients without (45.8% vs. 34.4%; P=0.026). Significant predictors of IAB on multivariate analysis were BMI ≥30 kg/m2 (OR =3.14, 95% CI: 1.14-6.71, P=0.003), male sex (OR =1.78, 95% CI: 1.05-3.03, P=0.034), increased mean CIMT (per 0.1 mm increase) (OR =1.75, 95% CI: 1.00-3.07, P=0.050) and increased age (per 10-year increase) (OR =1.46, 95% CI: 1.14-1.88, P=0.003). CONCLUSIONS: IAB is a predictor of new-onset AF in patients with carotid and coronary artery disease. Both carotid and coronary artery disease are associated with a higher prevalence of IAB.
BACKGROUND: Interatrial block (IAB) has been previously shown to predict atrial fibrillation (AF) in cardiac populations. This study sought to evaluate the relationship between IAB and new-onset AF in a population of patients undergoing clinically indicated coronary angiography who received carotid ultrasonography. METHODS: A population of 355 subjects undergoing coronary angiography and carotid ultrasound were retrospectively studied. Common carotid artery (CCA) far-wall intima-media thickness (CIMT), and total carotid plaque area were measured. Coronary artery disease was measured by angiography and IAB by electrocardiograph (ECG). RESULTS: The mean population age was 64.4 years, 70.4% male, mean BMI 29.9 kg/m2. IAB was a predictor of new-onset AF (OR =2.40, 95% CI: 1.33-4.29; P=0.003). There was a significant difference in AF free survival time between patients with IAB and without IAB via Cox proportional hazard analysis [52.9 months (95% CI: 47.1-58.7 months) vs. 62.6 months (95% CI: 58.8-66.5 months); P=0.006]. Patients with IAB had a significantly greater CIMT (0.883±0.193 vs. 0.829±0.192 mm; P=0.013) and a higher prevalence of significant (>70%) right coronary artery lesions than patients without (45.8% vs. 34.4%; P=0.026). Significant predictors of IAB on multivariate analysis were BMI ≥30 kg/m2 (OR =3.14, 95% CI: 1.14-6.71, P=0.003), male sex (OR =1.78, 95% CI: 1.05-3.03, P=0.034), increased mean CIMT (per 0.1 mm increase) (OR =1.75, 95% CI: 1.00-3.07, P=0.050) and increased age (per 10-year increase) (OR =1.46, 95% CI: 1.14-1.88, P=0.003). CONCLUSIONS: IAB is a predictor of new-onset AF in patients with carotid and coronary artery disease. Both carotid and coronary artery disease are associated with a higher prevalence of IAB.
Authors: Bryce Alexander; Jimmy MacHaalany; Brandon Lam; Henri van Rooy; Sohaib Haseeb; Adrian Kuchtaruk; Benedict Glover; Antoni Bayés de Luna; Adrian Baranchuk Journal: Am J Cardiol Date: 2017-01-25 Impact factor: 2.778
Authors: Amer M Johri; Pearl Behl; Marie-France Hétu; Mohammad Haqqi; Paul Ewart; Andrew G Day; Brendan Parfrey; Murray F Matangi Journal: Echocardiography Date: 2015-06-29 Impact factor: 1.724
Authors: Amer M Johri; Catherine M Calnan; Murray F Matangi; Jimmy MacHaalany; Marie-France Hétu Journal: J Am Soc Echocardiogr Date: 2016-06-21 Impact factor: 5.251
Authors: Tiia Istolahti; Antti Eranti; Heini Huhtala; Leo-Pekka Lyytikäinen; Mika Kähönen; Terho Lehtimäki; Markku Eskola; Ismo Anttila; Antti Jula; Antoni Bayés de Luna; Kjell Nikus; Jussi Hernesniemi Journal: Ann Med Date: 2020-03-14 Impact factor: 4.709