temmuz taner

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Objective: Predicting postoperative atrial fibrillation (PoAF) in the preoperative period will provide a serious advantage in preventing the morbidity and mortality associated with this arrhythmia and in planning the treatment. In this study, we investigated the value of atrial electromechanical delay (AEMD) in predicting the development of PoAF. Methods: A total of 93 patients who underwent isolated coronary artery bypass grafting (CABG) operation were included in this prospective study. Patients’ demographic characteristics, laboratory parameters, echocardiographic data, and AEMD durations that could be measured by the co-use of electrocardiography and echocardiography were recorded. The patients at sinus rhythm during the postoperative period were identified as “Group 1”, and those who developed PoAF were identified as “Group 2”. Results: PoAF incidence was 26.88% (n=25). Left ventricle (LV) lateral AEMD, LV medial AEMD, right ventricle lateral AEMD, and left atrium (LA) lateral AEMD durations of Group 2 were significantly higher than Group 1 (p<0.001, p=0.004, p=0.004, p<0.001; respectively). In Univariate Logistic Regression Analysis, the age, hypertension, LA maximum volume, LA lateral AEMD and pulmonary artery pressure were significantly associated with PoAF development (p=0.01, p=0.004, p=0.004, p=0.001, p=0.01; respectively). However, only LA lateral AEMD was found as an independent predictive factor for the development of PoAF in the Multivariate Logistic Regression Analysis (OR:1.03, 95% CI:1,001-1.06, p=0.04). AUC was 0.741 for LA lateral AEMD in ROC Curve Analysis (95% CI:0.633-0.849, p<0.001). Conclusions: The development of PoAF can be predicted by AEMD durations measured in the preoperative period in patients undergoing isolated CABG.

Sencer Çamcı

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Objective: Atrial fibrillation (AF) after coronary artery bypass grafting (CABG) is a factor that causes an increase in mortality and morbidity. Therefore, predicting post-CABG AF development is important for treatment management. In this study, we investigated the value of the ratio E/(Ea × Sa) as a combined systolic-diastolic index in predicting post-CABG AF development. Methods: This prospective study included 102 patients who underwent only isolated coronary bypass. Preoperative demographic features, biochemical and hematological parameters, and the electrocardiographic data of all patients were recorded. The E/(Ea × Sa) indices were calculated from the echocardiographic measurements. Those who retained their postoperative sinus rhythm were defined as group 1, and those who developed AF were defined as group 2. Results: Group 2 had significantly higher lateral (group 1: 1.14 ± 0.61 vs. group 2: 1.47 ± 0.87; p = 0.02), medial (group 1: 1.61 ± 0.70 vs. group 2: 1.99 ± 0.91; p = 0.02), and mean (group 1: 1.30 ± 0.58 vs. group 2: 1.62 ± 0.74; p = 0.001) E/(Ea×Sa) indices than group 1. In the univariate analysis, age, CHA2DS2-VASc score, sPAP, and mean E/(EaxSa) index were found to be significant predictors of post-CABG AF development. However, only the mean E/(EaxSa) index was found to be a significant predictor of post-CABG AF development in the multivariate analysis (OR: 2.31 95% CI 1.02–5.24; p = 0.04). Conclusions: The combined systolic-diastolic index predicted the development of post-CABG AF.