Heart rate is associated with progression of atrial fibrillation, independent of rhythm

Fredrik Holmqvist, Sunghee Kim, Benjamin A Steinberg, James A Reiffel, Kenneth W Mahaffey, Bernard J Gersh, Gregg C Fonarow, Gerald V Naccarelli, Paul Chang, James V Freeman, Peter R Kowey, Laine Thomas, Eric D Peterson, Jonathan P Piccini, ORBIT-AF Investigators, Fredrik Holmqvist, Sunghee Kim, Benjamin A Steinberg, James A Reiffel, Kenneth W Mahaffey, Bernard J Gersh, Gregg C Fonarow, Gerald V Naccarelli, Paul Chang, James V Freeman, Peter R Kowey, Laine Thomas, Eric D Peterson, Jonathan P Piccini, ORBIT-AF Investigators

Abstract

Objective: Atrial fibrillation (AF) often progresses from paroxysmal or persistent to more sustained forms, but the rate and predictors of AF progression in clinical practice are not well described.

Methods: Using the Outcomes Registry for Better Informed Treatment of AF, we analysed the incidence and predictors of progression and tested the discrimination and calibration of the HATCH (hypertension, age, TIA/stroke, chronic obstructive pulmonary disease, heart failure) and CHA₂DS₂VASc scores for identifying AF progression.

Results: Among 6235 patients with paroxysmal or persistent AF at baseline, 1479 progressed, during follow-up (median 18 (IQR 12-24) months). These patients were older and had more comorbidities than patients who did not progress (CHADS₂ 2.3±1.3 vs 2.1±1.3, p<0.0001). At baseline, patients with AF progression were more often on a rate control as opposed to a rhythm control strategy (66 vs 56%, p<0.0001) and had higher heart rate (72(64-80) vs 68(60-76) bpm, p<0.0001). The strongest predictors of AF progression were AF on the baseline ECG (OR 2.30, 95% CI 1.95 to 2.73, p<0.0001) and increasing age (OR 1.16, 95% CI1.09 to 1.24, p<0.0001, per 10 increase), while patients with lower heart rate (OR 0.84, 95% CI 0.79 to 0.89, p<0.0001, per 10 decrease ≤80) were less likely to progress. There was no significant interaction between rhythm on baseline ECG and heart rate (p=0.71). The HATCH and CHA₂DS₂VASc scores had modest discriminatory power for AF progression (C-indices 0.55 (95% CI 0.53 to 0.58) and 0.55 (95% CI 0.52 to 0.57)).

Conclusions: Within 1.5 years, almost a quarter of the patients with paroxysmal or persistent AF progress to a more sustained form. Progression is strongly associated with heart rate, and age.

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Figures

Figure 1
Figure 1
Percentage of atrial fibrillation (AF) progression across four HATCH score group among patients with paroxysmal AF at baseline and 12 month follow-up. HATCH score=Hypertension+(Age >75 years)+(TIA or stroke)×2+Chronic obstructive pulmonary disease+(congestive heart failure)×2. The corresponding percentages in the original by de Vos et al are shown for comparison. The error bars represent the 95% CI. AF, atrial fibrillation; HATCH, hypertension, age, TIA/stroke, chronic obstructive pulmonary disease, heart failure.

References

    1. Camm AJ, Kirchhof P, Lip GY, et al. . Guidelines for the management of atrial fibrillation: the Task Force for the Management of Atrial Fibrillation of the European Society of Cardiology (ESC). Eur Heart J 2010;31:2369–429. 10.1093/eurheartj/ehq278
    1. Wijffels MC, Kirchhof CJ, Dorland R, et al. . Atrial fibrillation begets atrial fibrillation. A study in awake chronically instrumented goats. Circulation 1995;92:1954–68. 10.1161/01.CIR.92.7.1954
    1. Allessie M, Ausma J, Schotten U. Electrical, contractile and structural remodeling during atrial fibrillation. Cardiovasc Res 2002;54:230–46. 10.1016/S0008-6363(02)00258-4
    1. Kerr CR, Humphries KH, Talajic M, et al. . Progression to chronic atrial fibrillation after the initial diagnosis of paroxysmal atrial fibrillation: results from the Canadian Registry of Atrial Fibrillation. Am Heart J 2005;149:489–96. 10.1016/j.ahj.2004.09.053
    1. Jahangir A, Lee V, Friedman PA, et al. . Long-term progression and outcomes with aging in patients with lone atrial fibrillation: a 30-year follow-up study. Circulation 2007;115:3050–6. 10.1161/CIRCULATIONAHA.106.644484
    1. de Vos CB, Pisters R, Nieuwlaat R, et al. . Progression from paroxysmal to persistent atrial fibrillation clinical correlates and prognosis. J Am Coll Cardiol 2010;55:725–31. 10.1016/j.jacc.2009.11.040
    1. Camm AJ, Breithardt G, Crijns H, et al. . Real-life observations of clinical outcomes with rhythm- and rate-control therapies for atrial fibrillation RECORDAF. J Am Coll Cardiol 2011;58:493–501. 10.1016/j.jacc.2011.03.034
    1. De Vos CB, Breithardt G, Camm AJ, et al. . Progression of atrial fibrillation in the REgistry on Cardiac rhythm disORDers assessing the control of Atrial Fibrillation cohort: clinical correlates and the effect of rhythm-control therapy. Am Heart J 2012;163:887–93. 10.1016/j.ahj.2012.02.015
    1. Zhang YY, Qiu C, Davis PJ, et al. . Predictors of Progression of Recently Diagnosed Atrial Fibrillation in REgistry on Cardiac Rhythm DisORDers Assessing the Control of Atrial Fibrillation (RecordAF)-United States Cohort. Am J Cardiol 2013;112:79–84. 10.1016/j.amjcard.2013.02.056
    1. Wyse DG, Waldo AL, DiMarco JP, et al. . A comparison of rate control and rhythm control in patients with atrial fibrillation. N Engl J Med 2002;347:1825–33. 10.1056/NEJMoa021328
    1. Van Gelder IC, Hagens VE, Bosker HA, et al. . A comparison of rate control and rhythm control in patients with recurrent persistent atrial fibrillation. N Engl J Med 2002;347:1834–40. 10.1056/NEJMoa021375
    1. Corley SD, Epstein AE, DiMarco JP, et al. . Relationships between sinus rhythm, treatment, and survival in the Atrial Fibrillation Follow-Up Investigation of Rhythm Management (AFFIRM) Study. Circulation 2004;109:1509–13. 10.1161/01.CIR.0000121736.16643.11
    1. Piccini JP, Fraulo ES, Ansell JE, et al. . Outcomes registry for better informed treatment of atrial fibrillation: rationale and design of ORBIT-AF. Am Heart J 2011;162:606–12.e1. 10.1016/j.ahj.2011.07.001
    1. Calkins H, Kuck KH, Cappato R, et al. . 2012 HRS/EHRA/ECAS expert consensus statement on catheter and surgical ablation of atrial fibrillation. Heart Rhythm 2012;9:632–96.e21. 10.1016/j.hrthm.2011.12.016
    1. Enders CK. Applied missing data analysis. New York; London: Guilford, 2010.
    1. Rubin DB. Multiple imputation for nonresponse in surveys. New York; Chichester: Wiley, 1987.
    1. Lip GY, Nieuwlaat R, Pisters R, et al. . Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. Chest 2010;137:263–72. 10.1378/chest.09-1584
    1. Van Gelder IC, Groenveld HF, Crijns HJ, et al. . Lenient versus strict rate control in patients with atrial fibrillation. N Engl J Med 2010;362:1363–73. 10.1056/NEJMoa1001337
    1. Marrouche NF, Wilber D, Hindricks G, et al. . Association of atrial tissue fibrosis identified by delayed enhancement MRI and atrial fibrillation catheter ablation: the DECAAF study. JAMA 2014;311:498–506. 10.1001/jama.2014.3

Source: PubMed

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