OBJECTIVE: To evaluate the impact of postoperative red blood cell transfusions and white blood cell (WBC) counts on post-cardiothoracic surgery atrial fibrillation. DESIGN: A nested cohort study of 550 patients from the Atrial Fibrillation Suppression Trials I, II, and III. SETTING:A large urban teaching hospital. PARTICIPANTS: Patients undergoing cardiothoracic surgery. MEASUREMENTS AND RESULTS: Endpoints included postoperative atrial fibrillation occurrence and maximum white blood cell counts during the first 5 days postoperatively. Multivariate logistic regression was used to control for potential confounders and calculate adjusted odds ratios (AOR) with 95% confidence intervals (95% CIs). Of the 173 patients (31.5%) who developed postoperative atrial fibrillation, 110 patients (63.5%) received postoperative transfusions and 63 patients (36.5%) did not (crude odds ratio = 1.89; 95% CI, 1.31-2.74; p = 0.001). Postoperative white blood cell counts were significantly greater in patients who developed atrial fibrillation on postoperative days 3 to 5. There were no differences in WBC between patients who did and did not receive transfusions. Upon multivariate logistic regression, the use of postoperative red blood cell transfusions was found to be associated with a 2-fold increase in postoperative atrial fibrillation (AOR 1.95; 95% CI, 1.24-3.06; p = 0.004). Similarly, the maximum white blood cell count also was associated with increased atrial fibrillation odds (AOR 1.09 K/microL; 95% CI, 1.04-1.13; p < 0.001). CONCLUSIONS: Postoperative red blood cell transfusion use was found to be a strong independent predictor for the development of postoperative atrial fibrillation, although no direct link between red blood cell transfusion and an increased white blood cell count was seen.
RCT Entities:
OBJECTIVE: To evaluate the impact of postoperative red blood cell transfusions and white blood cell (WBC) counts on post-cardiothoracic surgery atrial fibrillation. DESIGN: A nested cohort study of 550 patients from the Atrial Fibrillation Suppression Trials I, II, and III. SETTING: A large urban teaching hospital. PARTICIPANTS: Patients undergoing cardiothoracic surgery. MEASUREMENTS AND RESULTS: Endpoints included postoperative atrial fibrillation occurrence and maximum white blood cell counts during the first 5 days postoperatively. Multivariate logistic regression was used to control for potential confounders and calculate adjusted odds ratios (AOR) with 95% confidence intervals (95% CIs). Of the 173 patients (31.5%) who developed postoperative atrial fibrillation, 110 patients (63.5%) received postoperative transfusions and 63 patients (36.5%) did not (crude odds ratio = 1.89; 95% CI, 1.31-2.74; p = 0.001). Postoperative white blood cell counts were significantly greater in patients who developed atrial fibrillation on postoperative days 3 to 5. There were no differences in WBC between patients who did and did not receive transfusions. Upon multivariate logistic regression, the use of postoperative red blood cell transfusions was found to be associated with a 2-fold increase in postoperative atrial fibrillation (AOR 1.95; 95% CI, 1.24-3.06; p = 0.004). Similarly, the maximum white blood cell count also was associated with increased atrial fibrillation odds (AOR 1.09 K/microL; 95% CI, 1.04-1.13; p < 0.001). CONCLUSIONS: Postoperative red blood cell transfusion use was found to be a strong independent predictor for the development of postoperative atrial fibrillation, although no direct link between red blood cell transfusion and an increased white blood cell count was seen.
Authors: Michiel Rienstra; Jenny X Sun; Jared W Magnani; Moritz F Sinner; Steven A Lubitz; Lisa M Sullivan; Patrick T Ellinor; Emelia J Benjamin Journal: Am J Cardiol Date: 2011-11-17 Impact factor: 2.778
Authors: Jeffrey R Misialek; Wobo Bekwelem; Lin Y Chen; Laura R Loehr; Sunil K Agarwal; Elsayed Z Soliman; Faye L Norby; Alvaro Alonso Journal: PLoS One Date: 2015-08-27 Impact factor: 3.240
Authors: Alexis J Perros; Arlanna Esguerra-Lallen; Kelly Rooks; Fenny Chong; Sanne Engkilde-Pedersen; Helen M Faddy; Elise Hewlett; Rishendran Naidoo; John-Paul Tung; John F Fraser; Peter Tesar; Marc Ziegenfuss; Susan Smith; Donalee O'Brien; Robert L Flower; Melinda M Dean Journal: J Cell Mol Med Date: 2020-03-17 Impact factor: 5.310