BACKGROUND: Although atrial fibrillation (AF) has been linked to underlying coronary artery disease (CAD), data supporting this association have been based on ECG and clinical history for the definition of CAD rather than direct visualization of atherosclerosis. METHODS AND RESULTS: The prevalence of CAD among patients with paroxysmal or persistent AF and without history of CAD was evaluated using multislice computed tomography. Multislice computed tomography was performed in 150 patients with AF (61+/-11 years, 67% males, 58% asymptomatic) with predominantly low (59%) or intermediate (25%) pretest likelihood of CAD. CAD was classified as obstructive (> or =50% luminal narrowing) or not. A population of 148 patients without history of AF, similar to the AF group as to age, gender, symptomatic status, and pretest likelihood, served as a control group. Logistic regression analysis was applied to evaluate the relationship between demographic and clinical data and the presence of obstructive CAD. On the basis of multislice computed tomography, 18% of patients with AF were classified as having no CAD, whereas 41% showed nonobstructive CAD and the remaining 41% had obstructive CAD. Among patients without AF, 32% were classified as having no CAD, whereas 41% showed nonobstructive CAD and 27% had obstructive CAD (P=0.010 compared with patients with AF). At logistic regression analysis, age, male gender, and the presence of AF were significantly related to obstructive CAD. CONCLUSIONS: A higher prevalence of obstructive CAD was observed among patients with AF, confirming the hypothesis that AF could be a marker of advanced coronary atherosclerosis.
BACKGROUND: Although atrial fibrillation (AF) has been linked to underlying coronary artery disease (CAD), data supporting this association have been based on ECG and clinical history for the definition of CAD rather than direct visualization of atherosclerosis. METHODS AND RESULTS: The prevalence of CAD among patients with paroxysmal or persistent AF and without history of CAD was evaluated using multislice computed tomography. Multislice computed tomography was performed in 150 patients with AF (61+/-11 years, 67% males, 58% asymptomatic) with predominantly low (59%) or intermediate (25%) pretest likelihood of CAD. CAD was classified as obstructive (> or =50% luminal narrowing) or not. A population of 148 patients without history of AF, similar to the AF group as to age, gender, symptomatic status, and pretest likelihood, served as a control group. Logistic regression analysis was applied to evaluate the relationship between demographic and clinical data and the presence of obstructive CAD. On the basis of multislice computed tomography, 18% of patients with AF were classified as having no CAD, whereas 41% showed nonobstructive CAD and the remaining 41% had obstructive CAD. Among patients without AF, 32% were classified as having no CAD, whereas 41% showed nonobstructive CAD and 27% had obstructive CAD (P=0.010 compared with patients with AF). At logistic regression analysis, age, male gender, and the presence of AF were significantly related to obstructive CAD. CONCLUSIONS: A higher prevalence of obstructive CAD was observed among patients with AF, confirming the hypothesis that AF could be a marker of advanced coronary atherosclerosis.
Authors: Anna Matveeva; Rainer R Schmitt; Karoline Edtinger; Matthias Wagner; Sebastian Kerber; Thomas Deneke; Michael Uder; Sebastian Barth Journal: Eur Radiol Date: 2018-02-09 Impact factor: 5.315
Authors: Fawzi Abukhalil; Aakash Bodhit; Peter Y Cai; Saeed Ansari; Spandana Thenkabail; Sarah Ganji; Pradeepan Saravanapavan; Chandana Chandra Shekhar; Michael F Waters; Thomas M Beaver; Vishnumurthy Shushrutha Hedna Journal: J Atr Fibrillation Date: 2013-08-31
Authors: Gaetano Nucifora; Joanne D Schuijf; Jacob M van Werkhoven; Serge A Trines; Sami Kajander; Laurens F Tops; Olli Turta; J Wouter Jukema; Joop H M Schreur; Mark W Heijenbrok; Oliver Gaemperli; Philipp A Kaufmann; Juhani Knuuti; Ernst E van der Wall; Martin J Schalij; Jeroen J Bax Journal: Int J Cardiovasc Imaging Date: 2010-10-16 Impact factor: 2.357