R Passman1, J Beshai, B Pavri, S Kimmel. 1. Feinberg Cardiovascular Research Institute and the Departments of Medicine and Preventive Medicine, Division of Cardiology, Northwestern University Medical School, Chicago, IL, USA. r-passman@northwestern.edu
Abstract
BACKGROUND: Atrial fibrillation (AF) after coronary artery bypass grafting (CABG) is a common occurrence and adds to the morbidity and cost associated with the procedure. Various therapies have been demonstrated to reduce the risk of post-CABG AF, but their use should be targeted to high-risk patients. The purpose of this study was to develop a prediction rule for post-CABG AF on the basis of patient age and the preoperative electrocardiogram (ECG). METHODS: The charts of 152 consecutive patients undergoing isolated CABG at one institution were reviewed and the preoperative ECG was analyzed with use of commercially available software. Logistic regression was performed and age-adjusted predictors of the primary end point, any post-CABG AF, were derived. The discriminatory values of the various models were compared by receiver-operating characteristic curves. RESULTS: Sixty-four patients (42.1%) had AF. Multivariable predictors were dichotomized on the basis of variable distribution, and a high-risk patient population was identified by age >65 years, PR interval >/=180 milliseconds (age-adjusted odds ratio [OR] 2.12, P =.05), and a P-wave duration in lead V1 >/=110 milliseconds (age-adjusted OR 2.30, P =.02). CONCLUSIONS: This study demonstrates that post-CABG AF can be predicted preoperatively from patient age and evidence of intra-atrial conduction delay on ECG. Such information can be used to guide prophylactic therapy.
BACKGROUND:Atrial fibrillation (AF) after coronary artery bypass grafting (CABG) is a common occurrence and adds to the morbidity and cost associated with the procedure. Various therapies have been demonstrated to reduce the risk of post-CABG AF, but their use should be targeted to high-risk patients. The purpose of this study was to develop a prediction rule for post-CABG AF on the basis of patient age and the preoperative electrocardiogram (ECG). METHODS: The charts of 152 consecutive patients undergoing isolated CABG at one institution were reviewed and the preoperative ECG was analyzed with use of commercially available software. Logistic regression was performed and age-adjusted predictors of the primary end point, any post-CABG AF, were derived. The discriminatory values of the various models were compared by receiver-operating characteristic curves. RESULTS: Sixty-four patients (42.1%) had AF. Multivariable predictors were dichotomized on the basis of variable distribution, and a high-risk patient population was identified by age >65 years, PR interval >/=180 milliseconds (age-adjusted odds ratio [OR] 2.12, P =.05), and a P-wave duration in lead V1 >/=110 milliseconds (age-adjusted OR 2.30, P =.02). CONCLUSIONS: This study demonstrates that post-CABG AF can be predicted preoperatively from patient age and evidence of intra-atrial conduction delay on ECG. Such information can be used to guide prophylactic therapy.
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