Korean Circ J.  2017 May;47(3):361-365. 10.4070/kcj.2016.0340.

Predicting Intermittent Atrial Fibrillation in Outpatient Clinics

Affiliations
  • 1Department of Cardiology, Katip Celebi University IAEH, Izmir, Turkey. mustafakaraca99@hotmail.com
  • 2Department of Cardiology, Medikalp Heart Disease Clinic, Izmir, Turkey.

Abstract

BACKGROUND AND OBJECTIVES
Palpitations are the most common complaint in cardiology outpatient clinics. These palpitations may be derived from paroxysmal atrial fibrillation (AF) and can be easily overlooked. It is unclear whether inter-atrial conduction time (ICT) may predict the paroxysmal AF in out-patients that present with palpitations. We evaluated the ability of the ICT to predict paroxysmal AF in these patients.
SUBJECTS AND METHODS
The study group consisted of 199 patients (110 female). All patients underwent 24-hour Holter electrocardiogram (ECG) monitoring (total of 327 Holter ECG monitorings, mean: 1.64 times per patient). Brief episodes of AF were documented in 35 patients (20 female, Group 1). The remaining patients without AF were designated as Group 2 (90 female). All patients underwent routine transthoracic echocardiographic examination. ICT was also measured by echocardiography.
RESULTS
The mean age in Group 1 was greater than in Group 2 (63.02±14 vs. 51.27±16 years, p<0.001). The left atrium was larger in Group 1 than in Group 2 (39.7±3.4 vs. 37.29±4.3 mm, p<0.001). The other echocardiographic variables were comparable between the two groups. The mean ICT was significantly higher in Group 1 than in Group 2 (138±14 vs. 114±12 msn, p<0.001). The ICT of 127 ms was predictive for AF with a sensitivity of 86% and specificity of 87% (p<0.001).
CONCLUSION
Our findings show that ICT was prolonged in patients with palpitations who developed a brief episode of AF in Holter ECG monitoring. ICT prolongation may be used to identify patients with palpitation that are at risk of an AF episode. Holter ECG monitoring should be repeated to detect AF episodes in patients with prolonged ICT.

Keyword

Atrial fibrillation; inter-atrial conduction time; Echocardiography

MeSH Terms

Ambulatory Care Facilities*
Atrial Fibrillation*
Cardiology
Echocardiography
Electrocardiography
Female
Heart Atria
Humans
Outpatients*
Sensitivity and Specificity

Figure

  • Fig. 1 Inter-atrial conduction time is defined as the time between the beginning of the P wave in the surface ECG and the top of the A wave recorded from the tissue Doppler imaging from the left atrial free wall next to the mitral annulus. ECG: electrocardiogram.

  • Fig. 2 Receiver operating curve of ICT for predicting atrial fibrillation. ICT: inter-atrial conduction time, AUC: area under the curve.


Reference

1. Weber BE, Kapoor WN. Evaluation and outcomes of patients with palpitations. Am J Med. 1996; 100:138–148.
2. Wolf PA, Abbott RD, Kannel WB. Atrial fibrillation as an independent risk factor for stroke: the framingham study. Stroke. 1991; 22:983–988.
3. de Asmundis C, Conte G, Sieira J, et al. Comparison of the patient-activated event recording system vs. traditional 24 h Holter electrocardiography in individuals with paroxysmal palpitations or dizziness. Europace. 2014; 16:1231–1235.
4. Papageorgiou P, Monahan K, Boyle NG, et al. Site-dependent intra-atrial conduction delay. Relationship to initiation of atrial fibrillation. Circulation. 1996; 94:384–389.
5. Cozma D, Mornos C, Pescariu S, Petrescu L, Lighezan D, Dragulescu SI. Electrophysiological and echocardiographic parameters predisposing to atrial fibrillation in patients with a structurally normal heart. Kardiol Pol. 2006; 64:143–150.
6. Lima C, Martinelli M, Peixoto GL, et al. Silent atrial fibrillation in elderly pacemaker users: a randomized trial using home monitoring. Ann Noninvasive Electrocardiol. 2016; 21:246–255.
7. Healey JS, Martin JL, Duncan A, et al. Pacemaker-detected atrial fibrillation in patients with pacemakers: prevalence, predictors, and current use of oral anticoagulation. Can J Cardiol. 2013; 29:224–228.
8. Sanna T, Diener HC, Passman RS. Crystal AF Steering Committee. Cryptogenic stroke and atrial fibrillation. N Engl J Med. 2014; 371:1261.
9. Gladstone DJ, Dorian P, Spring M, et al. Atrial premature beats predict atrial fibrillation in cryptogenic stroke: results from the EMBRACE trial. Stroke. 2015; 46:936–941.
10. Spach MS, Dolber PC, Heidlage JF. Influence of the passive anisotropic properties on directional differences in propagation following modification of the sodium conductance in human atrial muscle. A model of reentry based on anisotropic discontinuous propagation. Circ Res. 1988; 62:811–832.
11. Karaca M, Kinay O, Nazli C, Biceroglu S, Vatansever F, Ergene AO. The time interval from the initiation of the P-wave to the start of left atrial appendage ejection flow: does it reflect interatrial conduction time? Echocardiography. 2007; 24:810–815.
12. Kinay O, Nazli C, Ergene O, et al. Time interval from the initiation of the electrocardiographic P wave to the start of left atrial appendage ejection flow: a novel method for predicting atrial fibrillation recurrence. J Am Soc Echocardiogr. 2002; 15:1479–1484.
13. Fuenmayor AJ, Ramírez L, Fuenmayor AM. Validation of inter-atrial conduction time measurement by means of echo-doppler. Arch Cardiol Mex. 2002; 72:125–128.
14. Karaca M, Aytekin D, Kırıs T, Koskderelioglu A, Gedizlioglu M. Cryptogenic ischemic stroke and silent atrial fibrillation: what is the relationship? Springerplus. 2016; 5:130.
15. Lee DH, Choi SY, Park JS, et al. Comparison of prolonged atrial electromechanical delays with different definitions in the discrimination of patients with non-valvular paroxysmal atrial fibrillation. Korean Circ J. 2015; 45:479–485.
16. Karaca M, Demirbas MI, Biceroglu S, et al. Prediction of early postoperative atrial fibrillation after cardiac surgery: is it possible? Cardiovasc J Afr. 2012; 23:34–36.
17. Chei CL, Raman P, Ching CK, et al. Prevalence and risk factors of atrial fibrillation in chinese elderly: results from the Chinese longitudinal healthy longevity survey. Chin Med J (Engl). 2015; 128:2426–2432.
18. Benjamin EJ, D'Agostino RB, Belanger AJ, Wolf PA, Levy D. Left atrial size and the risk of stroke and death. The Framingham Heart Study. Circulation. 1995; 92:835–841.
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