ISSN : 1301-5680
e-ISSN : 2149-8156
Turkish Journal of Thoracic and Cardiovascular Surgery     
Usefulness of CHA2DS2-VASc scoring system in predicting atrial fibrillation after coronary artery bypass grafting
Kemalettin Erdem1, Mehmet Yazıcı2, Serkan Öztürk2, Anıl Avcı3, Yeliz Güler4, Fatma Hızal Erdem2, Bahadır Dağlar1, Hızır Mete Alp4, İbrahim Dönmez2, Ali Metin Esen3
1Departments of Cardiovascular Surgery, Medical Faculty of Abant İzzet Baysal University, Bolu, Turkey
2Departments of Cardiology, Medical Faculty of Abant İzzet Baysal University, Bolu, Turkey
3Departments of Cardiology, Kartal Koşuyolu Yüksek İhtisas Training and Research Hospital, İstanbul, Turkey
4Departments of Cardiovascular Surgery, Kartal Koşuyolu Yüksek İhtisas Training and Research Hospital, İstanbul, Turkey
DOI : 10.5606/tgkdc.dergisi.2016.11751

Abstract

Background: This study aims to assess whether CHADS2 and CHA2DS2-VASc scoring systems are useful in predicting atrial fibrillation after coronary artery bypass grafting.

Methods: Between January 2010 and July 2013, a total of 478 patients (305 males, 173 females; mean age 62.1 years; range 40 to 83 years) who underwent coronary artery bypass grafting in our clinic were enrolled in the study. Data were obtained from the medical files of the patients and hospital records. All patients were monitored in the intensive care unit after surgery. Atrial fibrillation lasting more than 30 seconds in irregular rhythm without P waves on telemetry was classified as postoperative atrial fibrillation. All patients were evaluated using CHADS2 and CHA2DS2-VASc scoring systems.

Results: Of 478 patients, 102 had postoperative atrial fibrillation. CHADS2 and CHA2DS2-VASc scores were statistically significantly higher in patients with postoperative atrial fibrillation than others (2.1±0.8 vs 1.1±0.8, p<0.001 and 4.3±1.1 vs 2.2±1.1, p<0.001). Age, left atrial diameter, left ventricular ejection fraction, and CHA2DS2-VASc scores were independently associated with postoperative atrial fibrillation. A CHA2DS2-VASc score of ≥2 predicted postoperative AF with %96.3 sensitivity and %74.6 specificity (AUC=0.906, 95% CI=0.875-0.938, p<0.001).

Conclusion: The CHA2DS2-VASc score is a strong predictor of atrial fibrillation development after isolated coronary artery bypass grafting surgery. Therefore, the CHA2DS2-VASc scoring system can be used as a stratification tool to estimate atrial fibrillation after coronary artery bypass grafting.

Postoperative atrial fibrillation (AF) is the most common cardiac arrhythmia, which accounts for about 20 to 40% of patients after coronary artery bypass grafting (CABG).[1,2] Although earlier studies demonstrated that postoperative AF was harmless, temporary, and self-limited without any clinical significance, recent studies has shown an association with several adverse outcomes including increased duration of hospitalization [hospital and in intensive care unit (ICU)], risk of stroke, and more importantly in-hospital and long-term mortality.[3-5] Several studies were performed to identify demographic characteristics of the patients and related risk factors for postoperative AF after CABG. However, the results of these studies were found to be inconsistent except the increasing age.[4,6]

The CHADS2 and CHA2DS2-VASc scores are used for an embolic risk stratification and guidance for the treatment of AF.[7] The acronym of CHADS2 score refers to congestive heart failure, hypertension, age ≥75 years, diabetes and stroke.[7] The CHADS2 and CHA2DS2-VASc scores of most components are also risk factors for atherosclerosis.[8-12] Moreover, these factors are closely associated with postoperative AF. However, the predictive value of each component of the CHADS2 and CHA2DS2-VASc scoring systems is limited for the development of postoperative AF. As a result, we hypothesized that clustering of these factors might have a more predictive value for the development of AF after CABG.

There are only two studies investigating the relationship between CHADS2 and CHA2DS2-VASc scores and the development of AF after CABG.[13,14] In this study, therefore, we aimed to assess whether CHADS2 and CHA2DS2-VASc scoring systems are useful in predicting AF after CABG.

Methods

This retrospective and two-center study included a total of 478 patients (305 males, 173 females; mean age 62.1 years; range 40 to 83 years) who underwent elective isolated CABG in the cardiovascular surgery clinic January 2010 and July 2013. Data were obtained from the medical files of the patients and hospital records. The study protocol was approved by the local ethics committee.

All patients underwent standard CABG requiring cardiopulmonary bypass (CPB) except simultaneous valvular surgery. Before surgery, we performed standard 12-lead electrocardiography (ECG) recorded on chart paper at a speed of 25 mm/sec. The study population consisted of the patients who were in sinus rhythm and underwent isolated CABG. The exclusion criteria were as follows: emergency surgery, repeated CABG, acute coronary syndrome, significant valvular heart disease, pacemaker implantation, atrial flutter or fibrillation, pulmonary disease, pericarditis, congenital heart disease, overt hypothyroidism or hyperthyroidism, renal or hepatic disease, and cardiac failure during postoperative period. A total of 35 patients were excluded the study.

Surgery was performed through median sternotomy, aortic cannulation, a single right atrial cannula with membrane oxygenator (Avant D903, Dideco, Mirandola, Modena, Italy), a single cross-clamp, initially anterograde via the aorta than retrograde blood cardioplegia every 15 minutes via coronary sinus, a roller pump and mild systemic hypothermia (32-34 °C). After CPB, heparin sodium was antagonized at the rate of 1 mg heparin/1 mg protamine sulfate.

All patients were monitored constantly during their ICU stay. The patients receiving preoperative beta-blockers continued their treatment after surgery to avoid withdrawal. In case of electrolyte imbalance, the patient was immediately treated. After ICU discharge, the patients were monitored continuously by five-lead telemetry and also by 12-lead electrocardiograms every morning. According to the definition of the Society of Thoracic Surgeons, newonset postoperative AF was defined as AF occurred during hospitalization after CABG in patients without a history of AF. Accordingly, the patients without preoperative AF who experienced AF lasting more than 30 seconds in irregular rhythm without P waves on telemetry any time during the hospitalization after surgery were described with new-onset postoperative AF (irrespective of whether the patient responded to the medical treatment or converted into sinus rhythm spontaneously). Additional ECGs were also obtained from the clinical records and the medical files of the patients, if required or in case of palpitation reported by the patient.

As aforementioned, the CHADS2 score refers to congestive heart failure, hypertension, age ≥75 years, diabetes, and stroke.[7] In addition, the CHA2DS2- VASc score additionally includes vascular disease, age 65-74 years, and female sex. In our study, the CHADS2 score was calculated as the sum of points assigned to each of the following items; one point for congestive heart failure (CHF), hypertension, age ≥75 years, and diabetes mellitus; two points for a history of a prior stroke or transient ischemic attack. The CHA2DS2-VASc score was calculated as the sum of points assigned to each of the followings: one point for a history of CHF, hypertension, age 65-74 years, diabetes mellitus, female sex, and vascular diseases; two points for a history of a prior stroke or transient ischemic attack, and for age ≥75 years.

The CHADS2 and CHA2DS2-VASc scores were analyzed for all patients by a computer system in our hospital. Each risk factor relevant to the risk scores was noted. Congestive heart failure was defined as a left ventricular ejection fraction (EF) of ≤40%, as assessed by echocardiography or invasive testing and/or if clinical signs of heart failure were present at the given time point. Hypertension was defined as a history of hypertension and/or currently treated hypertension preoperatively. Diabetes was defined as a history of diabetes and/or current treatment with an oral hypoglycemic medication and/or insulin. Stroke was defined as neurological deficit lasting for 24 hours (TIA) or longer (stroke) caused by ischemia; however, hemorrhage-related ischemia was excluded. Vascular disease was defined as a prior myocardial infarction, a history of percutaneous coronary intervention and/or CABG, and a history of peripheral artery disease and/or aortic plaque. 0 indicates low risk, 1 or 2 indicates moderate risk, and ≥3 indicates high risk.

Statistical analysis
Statistical analysis was performed using PASW version 17.0 software (SPSS Inc., Chicago, IL, USA). The Kolmogorov-Smirnov test was used to analyze the normality of the variables. Parametric variables were expressed in mean ± standard deviation (SD), while non-parametric variables were expressed in percentage. Abnormally distributed variables were expressed in medians. The chi-square test or Fisher’s exact test, where applicable, were used to compare the patients characteristics. A p value of < 0.1 in the univariate analysis was used for the multivariate regression analysis. The multivariate logistic regression analysis was performed to analyze independent predictors of postoperative AF. The receiver operating characteristic (ROC) curve was done to determine whether the sensitivity and specificity of CHA2DS2-VASc scores were useful tools in predicting new-onset postoperative AF. A p value o f ≤0.05 was considered statistically significant.

Results

Postoperative AF was observed in 102 including 63 males and 39 females with a mean age of 67.8±9.9 years. Demographic and laboratory characteristics of the patients and related surgical data are shown in Table 1.

Table 1: Demographic and laboratory characteristics of the patients and related surgical data

Age, left atrial diameter, and CHADS2 and CHA2DS2-VASc scores were significantly higher in patients with postoperative AF than those without postoperative AF (Table 1). The left ventricular ejection fraction (LVEF) was significantly lower in patients with postoperative AF than those without postoperative AF (49.6±12.1 vs 55.6±9.0, p=0.001). Male gender was lower in patients with postoperative AF than those without postoperative AF (61.7% vs 81.3%). The ratio of the patients with hypertension and diabetes mellitus was significantly higher in postoperative AF group (70.5% vs 49.4%, p=0.001 and 45.0% vs 30.1%, p=0.002), whereas beta-blocker use was significantly lower in the same group (40.1% vs 50.0%, p=0.001). However, there were no significant differences in smoking, preoperative creatinine and glucose levels, heart rate, history of myocardial infarction (MI), the number of anastomosis, need for inotropic support, statin therapies, and the use of angiotensin-converting enzyme inhibitor (ACEI) or angiotensin receptor blocker (ARB) between the groups (Table 1).

There was a significant and negative correlation between L VEF a nd p ostoperative AF ( r= - 0.256, p=0.001). In addition, age and CHADS2 and CHA2DS2- VASc scores were positively and significantly correlated w ith p ostoperative AF ( r=0.71, p <0.001, r=0.473, p<0.001 and r=0.615, p<0.001). Additionally, postoperative AF rates continuously increased, as the CHA2DS2-VASc scores increased (Figure 1).

Figure 1: Postoperative atrial fibrillation rates continuously increased, as the CHA2DS2-VASc scores increased.

The univariate logistic regression analysis revealed that age, left atrial diameter, LVEF, male gender, beta-blocker use, hypertension, diabetes mellitus, and CHADS2 and CHA2DS2-VASc scores were associated with p ostoperative AF ( Table 2 ). However, the multivariate logistic regression analysis demonstrated that age, left atrial diameter, LVEF, and CHA2DS2- VASc scores were independently associated with postoperative AF ( OR=1.051, 9 5% C I=0.999-1.111, p=0.049; OR=1.414, 95% CI=1.169-1.719, p=0.012; OR=1.060, 95% CI=1.005-1.118, p=0.032 and OR=14.983, 95% CI=4.815-46.627, p<0.001) ( Table 2).

Table 2: Univariate and multivariate logistic regression analyses of independent variables for postoperative atrial fibrillation

As analyzed by the ROC curve, a CHA2DS2-VASc score of ≥2 predicted postoperative AF with 96.3% sensitivity and 74.6% specificity (AUC=0.906, 95% CI=0.875-0.938, p<0.001) (Figure 2).

Figure 2: Receiver operating characteristic curve analysis of CHA2DS2-VASc scores in predicting postoperative atrial fibrillation in coronary artery bypass surgery (AUC=0.906, 95% CI=0.875-0.938, p<0.001).

Discussion

The results of the present study showed that age, male gender, hypertension, diabetes mellitus, beta-blocker use, left atrial diameter, LVEF, and CHADS2 and CHA2DS2-VASc scores were significantly associated with AF after isolated CABG. However, only age, left atrial diameter, LVEF, and CHA2DS2-VASc scores were the significant independent predictors of AF after isolated CABG. Moreover, the CHA2DS2-VASc scores were found to be the most important independent predictors for postoperative AF. Therefore, we can conclude that the CHADS2 scores are not strong enough in predicting postoperative AF; however, CHA2DS2-VASc scores are apparently useful in predicting AF after CABG.

Previously, several risk factors were reported independently in predicting postoperative AF such as advanced age, sex, diabetes mellitus, prior myocardial infarction, heart failure,[15] systemic hypertension, peripheral vascular disease,[16] and left atrial enlargement.[17] Ozlu et al.[18] demonstrated that patients w ith p ostoperative AF were older age and had lower EF values compared to those without postoperative AF. In another study, Helgadottir et al.[19] showed that patients with postoperative AF were significantly older, were more often females, and had lower EF values with chronic heart failure. Similarly, in our study, we revealed that age, LVEF, sex, diabetes mellitus, systemic hypertension, beta-blocker use, left atrial diameter, and CHADS2 and CHA2DS2-VASc scores were significantly associated with AF after CABG. On the other hand, in the univariate logistic regression analysis, we found that although these risk factors are critical determinants of postoperative AF, the CHA2DS2-VASc scoring system was the optimal and accessible variable in predictin AF after CABG, as assessed by multivariate logistic regression analysis.

Recently, two studies used the CHADS2 and CHA2DS2-VASc scores in predicting the risk of postoperative AF.[13,14] Chua et al.[13] demonstrated that the CHADS2 and CHA2DS2-VASc scores were predictive of AF after cardiac surgery, as confirmed by several multivariate regression analyses. The Kaplan-Meier analysis revealed a higher incidence of p ostoperative AF a ccording t o t he C HADS2 a nd CHA2DS2-VASc scores of ≥2 compared to the scores <2 (both log rank, p<0.001). Similarly, we found that the CHADS2 and CHA2DS2-VASc scores were associated with postoperative AF (OR=2.219, p<0.001 and OR=4.353, p<0.001). Although multivariate logistic regression analysis showed no association between the CHADS2 scores and postoperative AF, the CHA2DS2- VASc scores were independently associated with postoperative AF (OR=14.983, p<0.001). Moreover, our study included 478 patients; however, aforementioned study consisted of only 277 patients. In another study, Borde et al.[14] used only CHA2DS2-VASc scores in predicting postoperative AF and reported that the incidence of postoperative AF increased with increasing CHA2DS2-VASc scores after cardiac surgery. This study consisted of 729 patients; however, postoperative AF occurred in only 13% patients with a cut-off value of CHA2DS2-VASc 3. On the other hand, the incidence of postoperative AF was found to be 21.3% in our study. Also, in our study, the cut-off value for CHA2DS2-VASc scores was 2; indicating a sensitivity of 96.3% and specificity of 74.6%.

Furthermore, Açıl et al.[20] showed that the left atrial diameter was a significant predictor for postoperative AF in patients undergoing CABG. In the present study, inconsistent with the aforementioned study findings, we observed that the left atrial diameter were significantly higher in patients with postoperative AF than those without postoperative AF. However, we were unable to identify that the left atrial diameter was independently associated with postoperative AF in the multivariate logistic regression analysis.

In another study, Halkos et al.[21] reported that preoperative neurological events or peripheral vascular disease were risk factors for postoperative neurological events including postoperative AF, stroke, in-hospital mortality, and renal failure. Similarly, we demonstrated that postoperative AF was more often in patients with preoperative stroke. However, in our study, we had a few patients with a history of stroke. Therefore, we concluded that preoperative stroke was not an independent risk factor for postoperative AF.

Zuo et al.[22] reported that the CHADS2 and CHA2DS2-VASc scores might be used to identify highrisk individuals for the development of AF. As shown in our study, the components of the CHA2DS2-VASc scoring system are useful and reliable in predicting postoperative AF risk in patients undergoing CABG, however, it is not adequate to predict AF after CABG. On the other hand, CHA2DS2-VASc scores are the most significant variables in predicting AF after CABG.

While postoperative AF can be transient and without implications, it may cause serious complications, such as increased mortality and morbidity, hemodynamic instability, and prolonged hospital stay, cardiac failure, and increased disability.[1,23,24] Also, the presence of AF after CABG is associated with higher incidence of heart failure and stroke, which can be attributed to higher surgery costs, prolonged hospital stay, and increased morbidity and mortality.[25] Therefore, the occurrence of postoperative AF is of utmost importance for patients undergoing cardiac surgery. All components of the CHA2DS2-VASc scoring system has a limited ability in predicting AF after CABG. Increasing CHADS2-VASc scor has been validated to correlate with an increased occurrence of AF after CABG. Also, it can predict postoperative AF with 96.3% sensitivity and 74.6% specificity after isolated CABG.

On the other hand, there are some limitations to this study. The major limitation is its retrospective design. Second, our study findings are limited to new onset in-hospital postoperative AF and do not address episodes of AF occurring after discharge. Another limitation of our study is that the study population includes only those undergoing isolated CABG. Therefore, the results may not be extrapolated to patients undergoing simultaneous cardiac or extracardiac procedures.

In conclusion, identifying high-risk patients for postoperative atrial fibrillation may prevent adverse cardiovascular events. Based on our study findings, the CHA2DS2-VASc score is a strong predictor of atrial fibrillation development after isolated coronary artery bypass grafting surgery. Therefore, the CHA2DS2- VASc scoring system can be used as a stratification tool to estimate atrial fibrillation after coronary artery bypass grafting. We believe that our study may inspire further studies using the CHA2DS2-VASc scoring system to provide prophylactic atrial fibrillation therapies to the high-risk patients preoperatively.

Declaration of conflicting interests
The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.

Funding
The authors received no financial support for the research and/or authorship of this article.

References

1) Kaireviciute D, Aidietis A, Lip GY. Atrial fibrillation following cardiac surgery: clinical features and preventative strategies. Eur Heart J 2009;30:410-25.

2) Amar D, Shi W, Hogue CW Jr, Zhang H, Passman RS, Thomas B, et al. Clinical prediction rule for atrial fibrillation after coronary artery bypass grafting. J Am Coll Cardiol 2004;44:1248-53.

3) Hogue CW Jr, Hyder ML. Atrial fibrillation after cardiac operation: risks, mechanisms, and treatment. Ann Thorac Surg 2000;69:300-6.

4) Mathew JP, Fontes ML, Tudor IC, Ramsay J, Duke P, Mazer CD, et al. A multicenter risk index for atrial fibrillation after cardiac surgery. JAMA 2004;291:1720-9.

5) Villareal RP, Hariharan R, Liu BC, Kar B, Lee VV, Elayda M, et al. Postoperative atrial fibrillation and mortality after coronary artery bypass surgery. J Am Coll Cardiol 2004;43:742-8.

6) Goksin I, Saçar M, Baltalarlı A, Sungurtekin H, Özcan V, Adalı F, et al. Determinants of postoperative atrial fibrillation in patients undergoing coronary artery bypass grafting: prophylactic beta-blocker plus statin therapy for prevention of postoperative atrial fibrillation. Turk Gogus Kalp Dama 2006;14:177-84.

7) Gage BF, Waterman AD, Shannon W, Boechler M, Rich MW, Radford MJ. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA 2001;285:2864-70.

8) Stroke Risk in Atrial Fibrillation Working Group. Independent predictors of stroke in patients with atrial fibrillation: a systematic review. Neurology 2007;69:546-54.

9) Goldman ME, Pearce LA, Hart RG, Zabalgoitia M, Asinger RW, Safford R, et al. Pathophysiologic correlates of thromboembolism in nonvalvular atrial fibrillation: I. Reduced flow velocity in the left atrial appendage (The Stroke Prevention in Atrial Fibrillation [SPAF-III] study). J Am Soc Echocardiogr 1999;12:1080-7.

10) Lane DA, Lip GY. Female gender is a risk factor for stroke and thromboembolism in atrial fibrillation patients. Thromb Haemost 2009;101:802-5.

11) Conway DS, Lip GY. Comparison of outcomes of patients with symptomatic peripheral artery disease with and without atrial fibrillation (the West Birmingham Atrial Fibrillation Project). Am J Cardiol 2004;93:1422-5.

12) Wysokinski WE, Ammash N, Sobande F, Kalsi H, Hodge D, McBane RD. Predicting left atrial thrombi in atrial fibrillation. Am Heart J 2010;159:665-71.

13) Chua SK, Shyu KG, Lu MJ, Lien LM, Lin CH, Chao HH, et al. Clinical utility of CHADS2 and CHA2DS2- VASc scoring systems for predicting postoperative atrial fibrillation after cardiac surgery. J Thorac Cardiovasc Surg 2013;146:919-926.

14) Borde D, Gandhe U, Hargave N, Pandey K, Mathew M, Joshi S. Prediction of postoperative atrial fibrillation after coronary artery bypass grafting surgery: is CHA 2 DS 2 -VASc score useful? Ann Card Anaesth 2014;17:182-7.

15) Mathew JP, Parks R, Savino JS, Friedman AS, Koch C, Mangano DT, et al. Atrial fibrillation following coronary artery bypass graft surgery: predictors, outcomes, and resource utilization. MultiCenter Study of Perioperative Ischemia Research Group. JAMA 1996;276:300-6.

16) Creswell LL, Schuessler RB, Rosenbloom M, Cox JL. Hazards of postoperative atrial arrhythmias. Ann Thorac Surg 1993;56:539-49.

17) Hakala T, Hedman A, Turpeinen A, Kettunen R, Vuolteenaho O, Hippeläinen M. Prediction of atrial fibrillation after coronary artery bypass grafting by measuring atrial peptide levels and preoperative atrial dimensions. Eur J Cardiothorac Surg 2002;22:939-43.

18) Özlü MF, Erdem K, Kırış G, Parlar Aİ, Demirhan A, Ayhan SS, et al. Predictive value of total atrial conduction time measured with tissue Doppler imaging for postoperative atrial fibrillation after coronary artery bypass surgery. J Interv Card Electrophysiol 2013;37:27-33.

19) Helgadottir S, Sigurdsson MI, Ingvarsdottir IL, Arnar DO, Gudbjartsson T. Atrial fibrillation following cardiac surgery: risk analysis and long-term survival. J Cardiothorac Surg 2012;7:87.

20) Açil T, Cölkesen Y, Türköz R, Sezgin AT, Baltali M, Gülcan O, et al. Value of preoperative echocardiography in the prediction of postoperative atrial fibrillation following isolated coronary artery bypass grafting. Am J Cardiol 2007;100:1383-6.

21) Halkos ME, Puskas JD, Lattouf OM, Kilgo P, Guyton RA, Thourani VH. Impact of preoperative neurologic events on outcomes after coronary artery bypass grafting. Ann Thorac Surg 2008;86:504-10.

22) Zuo ML, Liu S, Chan KH, Lau KK, Chong BH, Lam KF, et al. The CHADS2 and CHA 2DS 2-VASc scores predict new occurrence of atrial fibrillation and ischemic stroke. Interv Card Electrophysiol 2013;37:47-54.

23) Almassi GH, Schowalter T, Nicolosi AC, Aggarwal A, Moritz TE, Henderson WG, et al. Atrial fibrillation after cardiac surgery: a major morbid event? Ann Surg 1997;226:501-11.

24) Ahlsson A, Bodin L, Fengsrud E, Englund A. Patients with postoperative atrial fibrillation have a doubled cardiovascular mortality. Scand Cardiovasc J 2009;43:330-6.

25) Creswell LL, Damiano RJ Jr. Postoperative atrial fibrillation: an old problem crying for new solutions. J Thorac Cardiovasc Surg 2001;121:638-41.

Keywords : CHA2DS2-VASc scoring system; coronary artery bypass grafting; postoperative atrial fibrillation
Viewed : 8906
Downloaded : 2055