CHADS2 and CHA2DS2-VASc Scoring Systems for Predicting Atrial Fibrillation following Cardiac Valve Surgery

Objective Clinical use of CHADS(2) and CHA(2)DS(2)-VASc scoring systems for predicting AF following cardiac surgery have been reported in previous studies and demonstrated well-validated predictive value. We sought to investigate whether the two scoring systems are effective for predicting new-onset of AF following cardiac valve surgery and to demonstrate its potential utility of clinical assessment. Methods Medical records of all patients underwent cardiac valve surgeries during the period of January 2003 and December 2013 without preoperative AF at the cardiac center of our university were reviewed. The main outcome end point of our study was the early new-onset of AF following cardiac valve surgery. Results There were overall 518 patients involved in this study, with 234 (45.17%) developed POAF following valve surgery. Patients with POAF had older age (P = 0.23) and higher BMI (P = 0.013) than those without POAF. History of heart failure (P = 0.025), hypertension (P = 0.021), previous stroke or TIA (P = 0.032), coronary artery disease (P = 0.001), carotid artery disease (P = 0.024) and preoperative medication of statins (P = 0.021) were significantly more recorded in POAF group. Patients with POAF also had higher LAD (P = 0.013) and E/e' ratio (P < 0.001). The CHADS(2) and CHA(2)DS(2)-VASc scores were significantly higher in patients with POAF (P = 0.002; P < 0.001), and under univariate and multivariate regression analysis the CHADS(2) and CHA(2)DS(2)-VASc scores were significant predictors of POAF (P = 0.001; P < 0.001). Based on stratification of CHADS(2) and CHA(2)DS(2)-VASc scores, the Kaplan-Meier analysis obtained a higher POAF rate on patients with higher stratification of CHADS(2) and CHA(2)DS(2)-VASc scores (P < 0.001; P < 0.001). Conclusion In conclusion, CHADS(2) and CHA(2)DS(2)-VASc scores were directly associated with the incidence of POAF following valve surgery and a higher score was strongly predictive of POAF.