OBJECTIVE: New-onset atrial fibrillation (AF) is the most frequent arrhythmic complication after coronary artery bypass grafting (CABG). Elderly patients who undergo this operation may have a different risk profile from the general population. The aim of this study was to identify risk factors for post-CABG AF in the elderly population. METHODS: Between September 2001 and December 2005, 426 elderly patients (age >/= 65 years) underwent CABG at our center. Ninety-one developed post-CABG AF (AF group), and the other 335 (no-AF group) did not develop this complication. Multivariate analysis (odds ratio, +/- 95 % CI, P value) was used to identify independent clinical predictors of post-CABG AF. RESULTS: The incidence of post-CABG AF in elderly patients during the study period was 21.4 %. Multivariate analysis identified age (OR 1.07, P < 0.009), age >/= 75 years (OR 1.77, P < 0.042), preoperative renal insufficiency (OR 5.09, P < 0.035), EuroSCORE (OR 1.18, P < 0.038), and cross-clamping time (OR 1.02, P < 0.012) as predictors of AF occurrence. The AF group had a significantly longer mean intensive care unit (ICU) stay (3.8 +/- 4.7 vs. 2.5 +/- 1.3 days for AF vs. no-AF; P = 0.0001), and a significantly higher proportion of patients with prolonged (>/= 6 days) ICU stays (8.8 % vs. 3.2 %, respectively; P = 0.033). Hospital mortality was 3.2 % in the no-AF group and 2.2 % in the AF group ( P = 0.74). CONCLUSION: This study of elderly patients reveals some novel predictors of post-CABG AF, most notably preoperative renal insufficiency and EuroSCORE. It is important to identify risk factors for post-CABG AF in all patient groups as this knowledge might lead to better prevention of this problem and its potential consequences.
OBJECTIVE: New-onset atrial fibrillation (AF) is the most frequent arrhythmic complication after coronary artery bypass grafting (CABG). Elderly patients who undergo this operation may have a different risk profile from the general population. The aim of this study was to identify risk factors for post-CABG AF in the elderly population. METHODS: Between September 2001 and December 2005, 426 elderly patients (age >/= 65 years) underwent CABG at our center. Ninety-one developed post-CABG AF (AF group), and the other 335 (no-AF group) did not develop this complication. Multivariate analysis (odds ratio, +/- 95 % CI, P value) was used to identify independent clinical predictors of post-CABG AF. RESULTS: The incidence of post-CABG AF in elderly patients during the study period was 21.4 %. Multivariate analysis identified age (OR 1.07, P < 0.009), age >/= 75 years (OR 1.77, P < 0.042), preoperative renal insufficiency (OR 5.09, P < 0.035), EuroSCORE (OR 1.18, P < 0.038), and cross-clamping time (OR 1.02, P < 0.012) as predictors of AF occurrence. The AF group had a significantly longer mean intensive care unit (ICU) stay (3.8 +/- 4.7 vs. 2.5 +/- 1.3 days for AF vs. no-AF; P = 0.0001), and a significantly higher proportion of patients with prolonged (>/= 6 days) ICU stays (8.8 % vs. 3.2 %, respectively; P = 0.033). Hospital mortality was 3.2 % in the no-AF group and 2.2 % in the AF group ( P = 0.74). CONCLUSION: This study of elderly patients reveals some novel predictors of post-CABG AF, most notably preoperative renal insufficiency and EuroSCORE. It is important to identify risk factors for post-CABG AF in all patient groups as this knowledge might lead to better prevention of this problem and its potential consequences.
Authors: Simon C Body; Charles D Collard; Stanton K Shernan; Amanda A Fox; Kuang-Yu Liu; Marylyn D Ritchie; Tjörvi E Perry; Jochen D Muehlschlegel; Sary Aranki; Brian S Donahue; Mias Pretorius; Juan-Carlos Estrada; Patrick T Ellinor; Christopher Newton-Cheh; Christine E Seidman; J G Seidman; Daniel S Herman; Peter Lichtner; Thomas Meitinger; Arne Pfeufer; Stefan Kääb; Nancy J Brown; Dan M Roden; Dawood Darbar Journal: Circ Cardiovasc Genet Date: 2009-08-02
Authors: Mengalvio E Sleeswijk; Trudeke Van Noord; Jaap E Tulleken; Jack J M Ligtenberg; Armand R J Girbes; Jan G Zijlstra Journal: Crit Care Date: 2007 Impact factor: 9.097
Authors: Chirag M Sandesara; Mina K Chung; David R Van Wagoner; Thomas A Barringer; Keith Allen; Hassan M Ismail; Bridget Zimmerman; Brian Olshansky Journal: J Am Heart Assoc Date: 2012-06-22 Impact factor: 5.501