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. Author manuscript; available in PMC: 2013 Sep 4.
Published in final edited form as: Circulation. 2012 Sep 4;126(10):e143–e146. doi: 10.1161/CIRCULATIONAHA.112.129759

An Update on the Prognosis of Patients with Atrial Fibrillation

David D McManus 1,2,3, Michiel Rienstra 4, Emelia J Benjamin 2,5,6,7
PMCID: PMC3678907  NIHMSID: NIHMS484891  PMID: 22949543

Atrial fibrillation (AF) is a highly prevalent and costly health problem, with an estimated incidence of 28 per 1000 person-years in the U.S. and an incremental national cost of $26 billion.1,2 The prevalence of AF is increasing; it is projected that by 2050, AF will affect 6–12 million Americans.3,4 The growing burden of AF has far-reaching public health implications due to the association of AF with an increased risk of stroke, heart failure, and mortality.3,5,6 In recent years, the prognosis of patients with AF in certain at-risk subgroups, including those with heart failure, myocardial infarction, and chronic kidney disease, has been studied.710 In our brief review, we describe the most recently discovered AF-related prognostic factors,11 some new prognostic algorithms for estimating the risk from AF and its complications,12 and highlight that additional efforts are needed to prevent AF-related cardiovascular morbidity and mortality.

Atrial Fibrillation and Risk for Stroke

Non-rheumatic AF is a major contributor to increased mortality rates5 and an independent risk factor predisposing to stroke.13,14 In community-dwelling individuals, the odds of developing a stroke is almost 5-fold higher in patients with known AF as compared with those who do not have clinically apparent AF.14 In the U.S., the proportion of Americans aged 65 years or older is increasing and is estimated to reach 19.6% in 2030.15 These changing demographics suggest that rates of thromboembolic stroke may rise in the near future for several major reasons. The prevalence of AF increases dramatically with advancing age and it is present in 9–18% of individuals by the age of 80 years.16 AF accounts for almost 1 in 4 strokes in patients aged 80 years or older.14 Furthermore, strokes from AF are associated with a 50% increased risk of serious disability and 60% increased risk of death at 3-months compared with strokes from other causes.17,18 The high degree of morbidity from strokes secondary to AF likely relates to 4 factors: 1) the thromboembolic nature of AF-related cerebrovascular events; 2) the association between AF and other cardiovascular diseases; 3) the predilection for strokes from AF to involve the anterior circulation or lead to multiple ischemic foci; 4) and the established associations between AF and pro-inflammatory and hypercoagulable states.19,20

Prior estimates associating AF with increased risk for stroke may not fully capture risk from AF because AF is often asymptomatic and paroxysmal. Recent studies, in some cases using implantable electrocardiographic monitors, have emphasized that up to 21% of patients with stroke or transient ischemic attacks have undiagnosed AF.21 Although paroxysmal AF episodes lasting less than 30 seconds have traditionally been considered of little prognostic importance, a recent study showed that even high atrial rates of short duration are associated with higher risk for acute and chronic brain infarcts.22,23 AF may have an even stronger relation with stroke than was previously appreciated. Clearly, further research into the prognostic importance of brief episodes of AF in the community is needed to help guide stroke prevention in patients with short episodes.

An Update on Stroke Risk Prediction in Patients with Atrial Fibrillation

It has been demonstrated that more than 60% of strokes could be prevented by anticoagulation with warfarin.24 However, not all patients with AF are at sufficient risk for developing a stroke to justify long-term anticoagulation, especially given the higher risk for major bleeding associated with anticoagulant use.25 The Cardiac failure, Hypertension, Age, Diabetes, Stroke [Doubled; CHADS2] risk scoring system is the most widely used algorithm to predict stroke.26 Recently, the Cardiac failure or dysfunction, Hypertension, Age≥75 [Doubled], Diabetes, Stroke [Doubled]-Vascular disease, Age 65–74, and Sex category [Female] (CHA2DS2-VASc) risk score was developed to incorporate both “major” clinical risk factors (e.g., previous stroke/transient ischemic attack and age≥75 years) and “clinically relevant non-major” risk factors (e.g., heart failure, hypertension, diabetes, female sex, age 65–75 years, and atherosclerotic vascular disease) into an updated clinical stroke risk prediction schema. In the Swedish Atrial Fibrillation cohort study, the CHA2DS2-VASc [C-statistic, 0.67; 95% Confidence Interval (CI), 0.67–0.68] exhibited slightly better performance than the CHADS2 (C statistic, 0.66; 95% CI, 0.65–0.66) with respect to thromboembolic event prediction.12 Conducting a net reclassification improvement analysis of data from over 57,000 participants with AF, Friberg et al. showed that 1 of 10 patients would have been upgraded to a more accurate high-risk category using the CHA2DS2-VASc as compared with the CHADS2 scoring system.27 Also in the Swedish Atrial Fibrillation study, two recently developed schemas [HEMORR(2)HAGES and the HAS-BLED, C-statistic for both ~0.6] were compared and exhibited similar, albeit modest, ability to predict major bleeding events.12, 28 Notably, analysis of the net clinical benefit of anticoagulant treatment in the Swedish Atrial Fibrillation study shows that the risk of stroke in patients with AF not treated with anticoagulants is higher than the risk of intracranial bleeding in treated patients in all but those at lowest risk (CHA2DS2-VASc score =0).29

Prognostic Importance of Atrial Fibrillation Complicating Cardiac Surgery

New-onset AF is common after cardiac surgery, affecting 20–40% of individuals hospitalized for coronary artery bypass grafting procedures, but post-operative AF has previously been considered to be of minimal long-term prognostic importance.30 However, a recent study involving over 16,000 patients who underwent coronary artery bypass graft procedures reported that post-operative AF was associated with higher long-term, all-cause mortality [hazard ratio (HR), 1.21; 95% CI, 1.12 to 1.32] during a mean follow-up of 6 years (range 0 to 12.5 years) when compared to patients not experiencing this arrhythmia.31 The association between post-operative AF and risk for dying was attenuated when patients were prescribed warfarin, suggesting that postoperative AF was associated with subsequent thromboembolic complications secondary to episodes of AF.32 Investigations have suggested that agents such as amiodarone or colchicine also may be useful to prevent AF after cardiac surgery.33 In light of the prognostic significance of post-operative AF, further studies into strategies to prevent AF post-cardiac surgery are also needed.

Prognostic Importance of Pre-operative Atrial Fibrillation in Patients Undergoing Non-Cardiac Surgery

Current perioperative risk prediction tools34 place a high emphasis on history of cardiovascular diseases such as coronary artery disease but do not incorporate information about AF status. A recent study by van Diepen et al. involving over 38,000 patients showed that 6.4% of patients with AF who underwent a non-cardiac surgical procedure died within 30 days of their operation and that patients with AF had a 69% higher risk for post-operative mortality than patients with coronary heart disease (odds ratio, 1.69; 95% CI, 1.34 to 2.14).35 These data suggest that preoperative AF may be a useful predictor of adverse in-hospital and short-term outcomes after non-cardiac surgery and that risk prediction tools incorporating AF should be developed in order to better identify patients at risk for post-surgery stroke, rehospitalization, and death.

Prognosis from AF Select Patient Subgroups

AF in Patients with Heart Failure

Chronic heart failure and AF often coexist, share risk factors, and each condition strongly predisposes to the other.36,37 Women and men with AF have an 11- and 3-fold higher risk, respectively, of developing heart failure and dying when compared with those with no AF.4,38 In a prior study involving Framingham Heart Study participants, the combination of AF and heart failure carried a worse prognosis than either condition in isolation [in subjects with heart failure, development of AF was associated with increased mortality [men: HR, 1.6; 95% CI, 1.2 to 2.1; women: HR, 2.7; 95% CI, 2.0 to 3.6].10 Another recent study of 99,810 patients hospitalized with heart failure and enrolled in the Get With the Guidelines-Heart Failure program between 2005 and 2010 showed that AF was present in 1/3 of heart failure cases and that AF was associated with adverse hospital outcomes, longer length of stay, and higher in-hospital death rates (4.0% versus 2.6%, P<0.001).39 Two recent meta-analyses have summarized the published literature on the risk of death in patients with heart failure with AF compared to those with heart failure alone. The results of these analyses show that the coexistence of AF in HF patients increases the odds of death from 14%–57% in comparison to isolated HF.40

The findings of a recent community-based study involving 1664 individuals with heart failure showed not only that the presence of AF was associated with a greater than 2-fold higher risk of death compared to those with heart failure alone, but also that patients with AF developing after heart failure were at greater risk for dying than patients with pre-existing AF at the time of heart failure diagnosis.7 These findings are consistent with those of multiple heart failure trials, which reproducibly demonstrate that AF is associated with higher long-term morbidity and mortality in heart failure patients.41 The association between new-onset AF, heart failure progression, and increased mortality does not prove causality. In contradistinction, AF may be a marker for the intensity or duration of exposure to common risk factors, severity of hemodynamic perturbation, or neurohormonal dysregulation in heart failure. Nevertheless, the pathophysiological relations between AF and heart failure are of great clinical and public health importance in light of the growing numbers of older patients with both heart failure and AF.

AF in Patients with Coronary Heart Disease

Atrial fibrillation is often observed in patients with coronary heart disease and is a common consequence of the acute coronary events, yet until recently evidence was conflicting with respect to its prognostic significance.42 A recent community-based cohort study confirmed the findings of several prior investigations,43 showing that AF was associated with a four-fold higher risk for death in patients with myocardial infarction when compared to those with no AF (HR, 3.77; 95% CI, 3.37 to 4.21), even after adjustment for the clinical characteristics of participants.43 Notably, the timing of AF post-infarction appears to be of importance, with the highest risk for death observed among study participants developing AF more than 1 month after their infarction (compared to no AF, HR, 2.58; 95% CI, 2.21 to 3.00) and a lower risk for death seen in individuals with AF occurring during the first 2 days after infarction (compared to no AF, HR, 1.63; 95% CI, 1.37 to 1.93). Another meta-analysis of 43 studies including over 250,000 subjects with revealed that AF was associated with an almost 50% higher odds of death (odds ratio 1.46; 95% CI, 1.35 to 1.58).42 This worse prognosis persisted irrespective of when AF occurred relative to the acute coronary event. These data convincingly demonstrate that AF should be considered a significant clinical event during acute myocardial infarction.

AF in Patients with Chronic Kidney Disease

Chronic kidney disease is both a major risk factor for the development of AF44 as well as risk for stroke.45 As shown in the Anticoagulation and Risk Factors in Atrial Fibrillation (ATRIA) study,8 proteinuria was associated with an over 50% increased risk of thromboembolism (relative risk, 1.54; 95% CI, 1.29 to 1.85), and there was an inverse relation observed between risk of stroke and estimated glomerular filtration rate (eGFR expressed in mL × min−1 × 1.73 m#x2212;2). Compared with an eGFR ≥ 60, the relative risk (RR) was 1.16 (95% CI, 0.95 to 1.40) for an eGFR of 45 to 59, and 1.39 (95% CI, 1.13 to 1.71) for an eGFR<45 (P=0.008 for trend).8 These findings demonstrate that chronic kidney disease is associated with a higher risk of thromboembolic events in AF after adjustment for other relevant risk factors. Further efforts to incorporate information about kidney function into stroke risk prediction schema appear warranted.

Risk Factors associated with Prognosis from Atrial Fibrillation

High sensitivity C-reactive protein (hs-CRP) has been identified as a marker for increased risk of adverse cardiovascular events, including death.11,46,47 Recently, an analysis of data from 293 participants in the Atherosclerosis Risk In Communities study with AF and hs-CRP data was conducted in order to address the prognostic value of this biomarker in AF.11 Over a 9-year follow-up period, hs-CRP was associated with higher all-cause mortality after adjustment (HR, 2.52; 95% CI, 1.49 to 4.25). Moreover, adding hs-CRP to a risk prediction schema that included clinical prognostic factors improved the C-statistic for all-cause (from 0.627 to 0.677) and cardiovascular mortality (from 0.700 to 0.718). Perhaps due to its association with an increased level of systemic inflammation, endothelial dysfunction, and/or risk for thromboembolic complications,48,49 hs-CRP may be an important prognostic marker in patients with AF.

A recent analysis of data from the Randomized Evaluation of Long-Term Anticoagulation Therapy study reported that serum levels of troponin I and N-terminal pro-B-type natriuretic peptide (NT-proBNP) are frequently elevated in individuals with AF and improve thromboembolic risk prediction over risk prediction instruments using only clinical variables (increased the C-statistic from 0.68 to 0.72, p <0.0001).50 On the basis of these data, the authors conclude that troponin I and NT-proBNP may be useful for predicting adverse outcomes in AF.

Conclusions and future directions

In the absence of proven effective therapies for the primary prevention of AF, contemporary AF treatment focuses on thromboembolic risk assessment and risk-appropriate anticoagulation, rhythm control in some symptomatic individuals, and aggressive cardiovascular risk factor modification. The prognosis of patients with AF, particularly the increasing number of individuals with both AF and heart failure, remains poor despite advances in the treatment of AF.51 Further efforts are needed to better understand the longitudinal course of AF among older adults, and the long-term prognosis of patients with AF and comorbid cardiovascular diseases and surgeries. It is also clear that the associations between AF and adverse outcomes are stronger in subgroups with comorbidities such as those with heart failure and after cardiac surgery than in healthier populations. Future research is needed to determine whether targeting of primary and secondary prevention interventions on such patients, perhaps through the use of prognostic markers, improves prognosis from AF.52,53

REFERENCES

  • 1.Piccini JP, Hammill BG, Sinner MF, Jensen PN, Hernandez AF, Heckbert SR, Benjamin EJ, Curtis LH. Incidence and prevalence of atrial fibrillation and associated mortality among Medicare beneficiaries, 1993–2007. Circ Cardiovasc Qual Outcomes. 2012;5(1):85–93. doi: 10.1161/CIRCOUTCOMES.111.962688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kim MH, Johnston SS, Chu BC, Dalal MR, Schulman KL. Estimation of total incremental health care costs in patients with atrial fibrillation in the United States. Circ Cardiovasc Qual Outcomes. 2011;4(3):313–320. doi: 10.1161/CIRCOUTCOMES.110.958165. [DOI] [PubMed] [Google Scholar]
  • 3.Go AS, Hylek EM, Phillips KA, Chang Y, Henault LE, Selby JV, Singer DE. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study. JAMA. 2001;285(18):2370–2375. doi: 10.1001/jama.285.18.2370. [DOI] [PubMed] [Google Scholar]
  • 4.Lloyd-Jones DM, Wang TJ, Leip EP, Larson MG, Levy D, Vasan RS, D'Agostino RB, Massaro JM, Beiser A, Wolf PA, Benjamin EJ. Lifetime risk for development of atrial fibrillation: the Framingham Heart Study. Circulation. 2004;110(9):1042–1046. doi: 10.1161/01.CIR.0000140263.20897.42. [DOI] [PubMed] [Google Scholar]
  • 5.Benjamin EJ, Wolf PA, D'Agostino RB, Silbershatz H, Kannel WB, Levy D. Impact of atrial fibrillation on the risk of death: the Framingham Heart Study. Circulation. 1998;98(10):946–952. doi: 10.1161/01.cir.98.10.946. [DOI] [PubMed] [Google Scholar]
  • 6.Miyasaka Y, Barnes ME, Gersh BJ, Cha SS, Bailey KR, Abhayaratna WP, Seward JB, Tsang TS. Secular trends in incidence of atrial fibrillation in Olmsted County, Minnesota, 1980 to 2000, and implications on the projections for future prevalence. Circulation. 2006;114(2):119–125. doi: 10.1161/CIRCULATIONAHA.105.595140. [DOI] [PubMed] [Google Scholar]
  • 7.Chamberlain AM, Redfield MM, Alonso A, Weston SA, Roger VL. Atrial fibrillation and mortality in heart failure: a community study. Circ Heart Fail. 2011;4(6):740–746. doi: 10.1161/CIRCHEARTFAILURE.111.962688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Go AS, Fang MC, Udaltsova N, Chang Y, Pomernacki NK, Borowsky L, Singer DE. Impact of proteinuria and glomerular filtration rate on risk of thromboembolism in atrial fibrillation: the anticoagulation and risk factors in atrial fibrillation (ATRIA) study. Circulation. 2009;119(10):1363–1369. doi: 10.1161/CIRCULATIONAHA.108.816082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Saczynski JS, McManus D, Zhou Z, Spencer F, Yarzebski J, Lessard D, Gore JM, Goldberg RJ. Trends in atrial fibrillation complicating acute myocardial infarction. Am J Cardiol. 2009;104(2):169–174. doi: 10.1016/j.amjcard.2009.03.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Wang TJ, Larson MG, Levy D, Vasan RS, Leip EP, Wolf PA, D'Agostino RB, Murabito JM, Kannel WB, Benjamin EJ. Temporal relations of atrial fibrillation and congestive heart failure and their joint influence on mortality: the Framingham Heart Study. Circulation. 2003;107(23):2920–2925. doi: 10.1161/01.CIR.0000072767.89944.6E. [DOI] [PubMed] [Google Scholar]
  • 11.Hermida J, Lopez FL, Montes R, Matsushita K, Astor BC, Alonso A. Usefulness of high-sensitivity C-reactive protein to predict mortality in patients with atrial fibrillation (from the Atherosclerosis Risk In Communities [ARIC] Study) Am J Cardiol. 2011;109(1):95–99. doi: 10.1016/j.amjcard.2011.08.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Friberg L, Rosenqvist M, Lip GY. Evaluation of risk stratification schemes for ischaemic stroke and bleeding in 182 678 patients with atrial fibrillation: the Swedish Atrial Fibrillation cohort study. Eur Heart J. 2012;33(12):1500–1510. 2012. doi: 10.1093/eurheartj/ehr488. [DOI] [PubMed] [Google Scholar]
  • 13.Wolf PA, Dawber TR, Thomas HE, Jr., Kannel WB. Epidemiologic assessment of chronic atrial fibrillation and risk of stroke: the Framingham study. Neurology. 1978;28(10):973–977. doi: 10.1212/wnl.28.10.973. [DOI] [PubMed] [Google Scholar]
  • 14.Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. Stroke. 1991;22(8):983–988. doi: 10.1161/01.str.22.8.983. [DOI] [PubMed] [Google Scholar]
  • 15.From the Centers for Disease Control and Prevention Public health and aging: trends in aging--United States and worldwide. JAMA. 2003;289(11):1371–1373. [PubMed] [Google Scholar]
  • 16.Heeringa J, van der Kuip DA, Hofman A, Kors JA, van Herpen G, Stricker BH, Stijnen T, Lip GY, Witteman JC. Prevalence, incidence and lifetime risk of atrial fibrillation: the Rotterdam study. Eur Heart J. 2006;27(8):949–953. doi: 10.1093/eurheartj/ehi825. [DOI] [PubMed] [Google Scholar]
  • 17.Subramanian G, Silva J, Silver FL, Fang J, Kapral MK, Oczkowski W, Gould L, O'Donnell MJ. Risk factors for posterior compared to anterior ischemic stroke: an observational study of the Registry of the Canadian Stroke Network. Neuroepidemiology. 2009;33(1):12–16. doi: 10.1159/000209282. [DOI] [PubMed] [Google Scholar]
  • 18.Turhan N, Atalay A, Muderrisoglu H. Predictors of functional outcome in first-ever ischemic stroke: a special interest to ischemic subtypes, comorbidity and age. NeuroRehabilitation. 2009;24(4):321–326. doi: 10.3233/NRE-2009-0485. [DOI] [PubMed] [Google Scholar]
  • 19.Li-Saw-Hee FL, Blann AD, Lip GY. A cross-sectional and diurnal study of thrombogenesis among patients with chronic atrial fibrillation. J Am Coll Cardiol. 2000;35(7):1926–1931. doi: 10.1016/s0735-1097(00)00627-6. [DOI] [PubMed] [Google Scholar]
  • 20.Watson T, Shantsila E, Lip GY. Mechanisms of thrombogenesis in atrial fibrillation: Virchow's triad revisited. Lancet. 2009;373(9658):155–166. doi: 10.1016/S0140-6736(09)60040-4. [DOI] [PubMed] [Google Scholar]
  • 21.Gaillard N, Deltour S, Vilotijevic B, Hornych A, Crozier S, Leger A, Frank R, Samson Y. Detection of paroxysmal atrial fibrillation with transtelephonic EKG in TIA or stroke patients. Neurology. 2010;74(21):1666–1670. doi: 10.1212/WNL.0b013e3181e0427e. [DOI] [PubMed] [Google Scholar]
  • 22.Hohnloser SH, Capucci A, Fain E, Gold MR, van Gelder IC, Healey J, Israel CW, Lau CP, Morillo C, Connolly SJ. ASymptomatic atrial fibrillation and Stroke Evaluation in pacemaker patients and the atrial fibrillation Reduction atrial pacing Trial (ASSERT) Am Heart J. 2006;152(3):442–447. doi: 10.1016/j.ahj.2006.02.016. [DOI] [PubMed] [Google Scholar]
  • 23.Healey JS, Connolly SJ, Gold MR, Israel CW, Van Gelder IC, Capucci A, Lau CP, Fain E, Yang S, Bailleul C, Morillo CA, Carlson M, Themeles E, Kaufman ES, Hohnloser SH. Subclinical atrial fibrillation and the risk of stroke. N Engl J Med. 2012;366(2):120–129. doi: 10.1056/NEJMoa1105575. [DOI] [PubMed] [Google Scholar]
  • 24.Hart RG, Pearce LA, Aguilar MI. Meta-analysis: antithrombotic therapy to prevent stroke in patients who have nonvalvular atrial fibrillation. Ann Intern Med. 2007;146(12):857–867. doi: 10.7326/0003-4819-146-12-200706190-00007. [DOI] [PubMed] [Google Scholar]
  • 25.Gage BF, van Walraven C, Pearce L, Hart RG, Koudstaal PJ, Boode BS, Petersen P. Selecting patients with atrial fibrillation for anticoagulation: stroke risk stratification in patients taking aspirin. Circulation. 2004;110(16):2287–2292. doi: 10.1161/01.CIR.0000145172.55640.93. [DOI] [PubMed] [Google Scholar]
  • 26.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(22):2864–2870. doi: 10.1001/jama.285.22.2864. [DOI] [PubMed] [Google Scholar]
  • 27.Larsen TB, Lip GY, Skjoth F, Due KM, Overvad K, Hvilsted Rasmussen L. Added Predictive Ability of the CHA2DS2VASc Risk Score for Stroke and Death in Patients With Atrial Fibrillation: The Prospective Danish Diet, Cancer, and Health Cohort Study. Circ Cardiovasc Qual Outcomes. 2012;5(3):335–342. doi: 10.1161/CIRCOUTCOMES.111.964023. [DOI] [PubMed] [Google Scholar]
  • 28.Gallego P, Roldan V, Torregrosa JM, Galvez J, Valdes M, Vicente V, Marin F, Lip GY. Relation of the Has-Bled Bleeding Risk Score to Major Bleeding, Cardiovascular Events and Mortality in Anticoagulated Patients with Atrial Fibrillation. Circ Arrhythm Electrophysiol. 2012 doi: 10.1161/CIRCEP.111.967000. epub ahead of print. [DOI] [PubMed] [Google Scholar]
  • 29.Friberg L, Rosenqvist M, Lip GY. Net clinical benefit of warfarin in patients with atrial fibrillation: a report from the Swedish atrial fibrillation cohort study. Circulation. 2012;125(19):2298–2307. doi: 10.1161/CIRCULATIONAHA.111.055079. [DOI] [PubMed] [Google Scholar]
  • 30.Elahi M, Hadjinikolaou L, Galinanes M. Incidence and clinical consequences of atrial fibrillation within 1 year of first-time isolated coronary bypass surgery. Circulation. 2003;108(Suppl 1):II207–212. doi: 10.1161/01.cir.0000089188.45285.fd. [DOI] [PubMed] [Google Scholar]
  • 31.El-Chami MF, Kilgo P, Thourani V, Lattouf OM, Delurgio DB, Guyton RA, Leon AR, Puskas JD. New-onset atrial fibrillation predicts long-term mortality after coronary artery bypass graft. J Am Coll Cardiol. 2012;55(13):1370–1376. doi: 10.1016/j.jacc.2009.10.058. [DOI] [PubMed] [Google Scholar]
  • 32.Attaran S, Shaw M, Bond L, Pullan MD, Fabri BM. A comparison of outcome in patients with preoperative atrial fibrillation and patients in sinus rhythm. Ann Thorac Surg. 2011;92(4):1391–1395. doi: 10.1016/j.athoracsur.2011.04.119. [DOI] [PubMed] [Google Scholar]
  • 33.Imazio M, Brucato A, Ferrazzi P, Rovere ME, Gandino A, Cemin R, Ferrua S, Belli R, Maestroni S, Simon C, Zingarelli E, Barosi A, Sansone F, Patrini D, Vitali E, Trinchero R, Spodick DH, Adler Y. Colchicine reduces postoperative atrial fibrillation: results of the Colchicine for the Prevention of the Postpericardiotomy Syndrome (COPPS) atrial fibrillation substudy. Circulation. 2011;124(21):2290–2295. doi: 10.1161/CIRCULATIONAHA.111.026153. [DOI] [PubMed] [Google Scholar]
  • 34.Goldman L. Assessment of perioperative cardiac risk. N Engl J Med. 1994;330(10):707–709. doi: 10.1056/NEJM199403103301010. [DOI] [PubMed] [Google Scholar]
  • 35.van Diepen S, Bakal JA, McAlister FA, Ezekowitz JA. Mortality and readmission of patients with heart failure, atrial fibrillation, or coronary artery disease undergoing noncardiac surgery: an analysis of 38 047 patients. Circulation. 2011;124(3):289–296. doi: 10.1161/CIRCULATIONAHA.110.011130. [DOI] [PubMed] [Google Scholar]
  • 36.Anter E, Jessup M, Callans DJ. Atrial fibrillation and heart failure: treatment considerations for a dual epidemic. Circulation. 2009;119(18):2516–2525. doi: 10.1161/CIRCULATIONAHA.108.821306. [DOI] [PubMed] [Google Scholar]
  • 37.McManus DD, Shaikh AY, Abhishek F, Vasan RS. Atrial fibrillation and heart failure parallels: lessons for atrial fibrillation prevention. Crit Pathw Cardiol. 2011;10(1):46–51. doi: 10.1097/HPC.0b013e31820e1a4b. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Lloyd-Jones DM, Larson MG, Leip EP, Beiser A, D'Agostino RB, Kannel WB, Murabito JM, Vasan RS, Benjamin EJ, Levy D. Lifetime risk for developing congestive heart failure: the Framingham Heart Study. Circulation. 2002;106(24):3068–3072. doi: 10.1161/01.cir.0000039105.49749.6f. [DOI] [PubMed] [Google Scholar]
  • 39.Mountantonakis SE, Grau-Sepulveda MV, Bhatt DL, Hernandez AF, Peterson ED, Fonarow GC. Presence of atrial fibrillation is independently associated with adverse outcomes in patients hospitalized with heart failure: an analysis of get with the guidelines-heart failure. Circ Heart Fail. 2012;5(2):191–201. doi: 10.1161/CIRCHEARTFAILURE.111.965681. [DOI] [PubMed] [Google Scholar]
  • 40.Schmitt J, Duray G, Gersh BJ, Hohnloser SH. Atrial fibrillation in acute myocardial infarction: a systematic review of the incidence, clinical features and prognostic implications. Eur Heart J. 2009;30(9):1038–1045. doi: 10.1093/eurheartj/ehn579. [DOI] [PubMed] [Google Scholar]
  • 41.Lubitz SA, Benjamin EJ, Ellinor PT. Atrial fibrillation in congestive heart failure. Heart Fail Clin. 2010;6(2):187–200. doi: 10.1016/j.hfc.2009.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Jabre P, Roger VL, Murad MH, Chamberlain AM, Prokop L, Adnet F, Jouven X. Mortality associated with atrial fibrillation in patients with myocardial infarction: a systematic review and meta-analysis. Circulation. 2011;123(15):1587–1593. doi: 10.1161/CIRCULATIONAHA.110.986661. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Jabre P, Jouven X, Adnet F, Thabut G, Bielinski SJ, Weston SA, Roger VL. Atrial fibrillation and death after myocardial infarction: a community study. Circulation. 2011;123(19):2094–2100. doi: 10.1161/CIRCULATIONAHA.110.990192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Alonso A, Lopez FL, Matsushita K, Loehr LR, Agarwal SK, Chen LY, Soliman EZ, Astor BC, Coresh J. Chronic kidney disease is associated with the incidence of atrial fibrillation: the Atherosclerosis Risk in Communities (ARIC) study. Circulation. 2011;123(25):2946–2953. doi: 10.1161/CIRCULATIONAHA.111.020982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.McManus DD, Corteville DC, Shlipak MG, Whooley MA, Ix JH. Relation of kidney function and albuminuria with atrial fibrillation (from the Heart and Soul Study) Am J Cardiol. 2009;104(11):1551–1555. doi: 10.1016/j.amjcard.2009.07.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Ridker PM. High-sensitivity C-reactive protein: potential adjunct for global risk assessment in the primary prevention of cardiovascular disease. Circulation. 2001;103(13):1813–1818. doi: 10.1161/01.cir.103.13.1813. [DOI] [PubMed] [Google Scholar]
  • 47.Blake GJ, Ridker PM. C-reactive protein and other inflammatory risk markers in acute coronary syndromes. J Am Coll Cardiol. 2003;41(4 Suppl S):37S–42S. doi: 10.1016/s0735-1097(02)02953-4. [DOI] [PubMed] [Google Scholar]
  • 48.Alonso A, Tang W, Agarwal SK, Soliman EZ, Chamberlain AM, Folsom AR. Hemostatic markers are associated with the risk and prognosis of atrial fibrillation: The ARIC study. Int J Cardiol. 2010;155(2):217–222. doi: 10.1016/j.ijcard.2010.09.051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Li R, Ren M, Luo M, Chen N, Zhang Z, Luo B, Wu J. Monomeric C-reactive protein alters fibrin clot properties on endothelial cells. Thromb Res. 2012;129(5):e251–256. doi: 10.1016/j.thromres.2012.03.014. [DOI] [PubMed] [Google Scholar]
  • 50.Hijazi Z, Oldgren J, Andersson U, Connolly SJ, Ezekowitz MD, Hohnloser SH, Reilly PA, Vinereanu D, Siegbahn A, Yusuf S, Wallentin L. Cardiac biomarkers are associated with an increased risk of stroke and death in patients with atrial fibrillation: a Randomized Evaluation of Long-term Anticoagulation Therapy (RELY) substudy. Circulation. 2012;125(13):1605–1616. doi: 10.1161/CIRCULATIONAHA.111.038729. [DOI] [PubMed] [Google Scholar]
  • 51.Stiell IG, Roos JS, Kavanagh KM, Dickinson G. A multicenter, open-label study of vernakalant for the conversion of atrial fibrillation to sinus rhythm. Am Heart J. 2012;159(6):1095–1101. doi: 10.1016/j.ahj.2010.02.035. [DOI] [PubMed] [Google Scholar]
  • 52.Rienstra M, McManus DD, Benjamin EJ. Novel risk factors for atrial fibrillation: useful for risk prediction and clinical decision making? Circulation. 2012;125(20):e941–946. doi: 10.1161/CIRCULATIONAHA.112.112920. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Magnani JW, Rienstra M, Lin H, Sinner MF, Lubitz SA, McManus DD, Dupuis J, Ellinor PT, Benjamin EJ. Circulation. 2011;124(18):1982–93. doi: 10.1161/CIRCULATIONAHA.111.039677. [DOI] [PMC free article] [PubMed] [Google Scholar]

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