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房颤体表心电图的信号处理及临床应用
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摘要
背景房颤是临床最常见的心律失常之一。经导管射频消融术是目前房颤复律治疗的一个重要手段。但射频手术术后房颤复发率高达20-40%,虽然已知一些复发相关因素,但目前我们尚无法准确地预测复发。房颤频率作为心房电重塑的量化指标之一,对于预测射频术后是否复发以及筛选适合手术人群具有重要意义。现在我们可以通过无创的信号处理技术从体表心电图获得这一参数。
     目的以独立分量分析为基础,构建房颤信号处理的方法,并研究体表心电图房颤频率与患者临床参数及术后复发的关系。
     方法回顾性研究2012年3月至2013年3月于北京协和医院心内科行经导管射频消融术的房颤患者,收集临床资料,分别计算术前体表心电图及房内电极房颤频率。随访了解上述患者射频消融术后6个月时房颤复发情况。分析体表心电图与房内电极房颤频率的关系,并研究房颤频率与患者临床参数、射频消融术后房颤复发的关系。
     结果实验共入组房颤患者37人(28人为男性,年龄60±10岁),阵发性房颤10人(27.0%),持续性房颤27人(73.0%),体表心电图房颤频率6.36±1.17Hz(4-8.4Hz)。完成6个月随诊23人(18人为男性,年龄58±10岁),其中阵发性房颤9人(39.1%),体表心电图房颤频率6.20±1.15Hz(4.1-8.4Hz),复发7人(30.4%)。
     1、体表心电图与房内电极房颤频率呈高度线性相关(r=0.953,P<0.001)。
     2、体表心电图房颤频率与患者年龄(e=0.459,p=0.006)、房颤类型(p=0.002)、左室舒张末内径(r=-0.345,p=0.042)、合并高血压相关(p=0.027)
     3、根据roc曲线,选择6.45Hz为界将患者分为AFF高组与低组,判断射频消融术后6个月房颤复发敏感性达到85.7%,特异性达到68.7%。
     结论
     1、独立分量分析技术可用于房颤的信号处理。
     2、体表心电图房颤频率与患者的临床特点相关,包括年龄、性别、房颤类型等。
     3、体表心电图房颤频率与射频消融术后复发情况相关,可用于筛选适合手术人群。房颤频率高的患者,术后复发率更高。
Background
     Atrial fibrillation (AF) is one of the most common clinical arrhythmia. Radiofrequency catheter ablation plays an important role in the treatment of AF, but the recurrence reaches up to20-40percent. Although there're several clinical variables related to the recurrence, we cann't predict it precisely. As one of the quantitative indicators of atrial remodeling, atrial fibrilatory frequency(AFF) can be used to predict ablation outcome and help with patient selection for catheter ablation.
     Objectives
     Get AFF through signal processing of surface ECG of AF patients based on Independent Component Analysis (ICA). Investigate the relations between surface ECG AFF and clinical variables. Evaluate the role of surface ECG AFF to predict clinical outcomes of catheter ablation in patients with atrial fibrillation.
     Methods
     Retrospective study patients with atrial fibrillation who had taken radiofrequency catheter ablation at the Beijing Union Medical College Hospital Department of Cardiology, from March2012to March2013. The clinical information of these patients, including patient history, ECG data and echocardiography date, were collected. The AFF of surface ECG and endocardial electrograms before radiofrequency catheter ablation were assessed respectively and analyzed with respect to clinical variables and catheter ablation outcome.
     Results
     Catheter ablation was performed in36patients (27men, aging60±10years), including10(27.8%) paroxysmal atrial fibrillation and26(72.2%) persistent atrial fibrillation. The surface ECG AFF is6.36±1.17Hz (4-8.4Hz).23patients accomplished6-months follow up(18men, aging58 ±10years), including9(39.1%) paroxysmal atrial fibrillation and14(60.9%)persistent atrial fibrillation.7(30.4%) patients had AF recurrence. The AFF of surface ECG and endocardial electrograms are highly linearly related (r=0.953, P<0.001). The surface ECG AFF was related to age (r=-0.459,P=0.006), type of AF(P=0.002), LVDD(r=-0.345, P=0.042), hypertension (p=0.027),. According to ROC curve, AFF was divided into2groups by6.45Hz.It could be used to predict recurrence6months after catheter ablation, with sensitivity85.7%and specificity68.7%.
     Conclusion
     ICA is a reliable method in signal processing of atrial fibrillation. AFF is related to clinical features, such as age, gender and type of AF. AFF is related to recurrence after catheter ablation. The higher is AFF, the higher is recurrence rate. It could help with patient selection for catheter ablation.
引文
[1]2011 ACCF/AHA/HRS focused updates incorporated into the ACC/AHA/ESC 2006 Guidelines for the management of patients with atrial fibrillation:a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines developed in partnership with the European Society of Cardiology and in collaboration with the European Heart Rhythm Association and the Heart Rhythm Society. J Am Coll Cardiol.2011 Mar 15;57(11):e101-98
    [2]Go AS, Hylek EM, Phillips KA, et al. 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.2001:285:2370-5.
    [3]Feinberg WM, Blackshear JL, Laupacis A, et al. Prevalence, age distribution, and gender of patients with atrial fibrillation. Analysis and implications. Arch Intern Med.1995:155:469-73.
    [4]Furberg CD, Psaty BM, Manolio TA, et al. Prevalence of atrial fibrillation in elderly subjects (the Cardiovascular Health Study). Am J Cardiol. 1994:74:236-41.
    [5]Psaty BM, Manolio TA, Kuller LH, et al. Incidence of and risk factors for atrial fibrillation in older adults. Circulation.1997:96:2455-61.
    [6]2012 HRS/EHRA/ECAS Expert Consensus Statement on Catheter and Surgical Ablation of Atrial Fibrillation:Recommendations for Patient Selection, Procedural Techniques, Patient Management and Follow-up, Definitions, Endpoints, and Research Trial Design. Europace (2012) 14,528-606
    [7]Jalife J, Berenfeld 0, Mansour M. Mother rotors and fibrillatory conduction:a mechanism of atrial fibrillation. Cardiovasc Res. May 2002:54(2):204-216.
    [8]Wijffels MC, Kirchhof CJ, Dorland R, Allessie MA. Atrial fibrillation begets atrial fibrillation. A study in awake chronically instrumented goats. Circulation 1995:92:1954-1968
    [9]H. Oral, C. Pappone, et al., " Circumferential Pulmonary-Vein Ablation for Chronic Atrial Fibrillation, " N Engl J Med, vol.354, no.9, pp.934-941,2006.
    [10]R. Cappato, H. Calkins, S. A. Chen, et al., " Updated Worldwide Survey on the Methods, Efficacy, and Safety of Catheter Ablation for Human Atrial Fibrillation," Circ Arrhythm Electrophysiol, vol.3, pp.32-38,2010.
    [11]Nademanee, K., et al., Clinical outcomes of catheter substrate ablation for high-risk patients with atrial fibrillation. J Am Coll Cardiol,2008. 51(8):p.843-9.
    [12]Sauer, W. H., et al., Clinical predictors and outcomes associated with acute return of pulmonary vein conduction during pulmonary vein isolation for treatment of atrial fibrillation. Heart Rhythm,2006.3(9):p.1024-8.
    [13]Sonmez, B., et al., A fatal complication due to radiofrequency ablation for atrial fibrillation:atrio-esophageal fistula. Ann Thorac Surg,2003. 76(1):p.281-3.
    [14]Scaife, C. L. and S. A. Curley, Complication, local recurrence, and survival rates after radiofrequency ablation for hepatic malignancies. Surg Oncol Clin N Am,2003.12(1):p.243-55.
    [15]P. Comon. Independent component analysis, A new concept?Signal Processing,1994,36:287-314
    [16]A. J. Bell, T. J. Sejnowski.An information-maximization approach to blind separation and blind deconvolution. Neural Computation,1995,7(6):1004-1034
    [17]A. Hyviirinen, E. Oja. A fast fixed-point algorithm for independent component analysis. Neural Computation,1997,9(7):1483-1492
    [18]A. Hyvfirincn. Fast and Robust Fixed-Point Algorithm for Independent Component Analysis. IEEE Trans, on Neural Networks.1999:lo(3):626-634
    [19]马建仓.盲信号处理.国防工业出版社.2006.
    [20]P. Huber. Projection pursuit. Analysis of Statistics,1985,13(2):43-5475
    [21]A. Hyvfirincn, J. Karhunen, E.Oja. Independent Component Analysis, wiley, New York,2001
    [22]A. J. Bell, T. J. Sejnowski. An Information-maximization Approach to Blind Separation and Blind Deconvolution. Neural Computation,1995,7:1129-1159
    [23]H. H. Yang, S. Amari. Adaptive Online Learning Algorithm for Blind Separatiou:Maximum Entropy and Minimum Mutual Information. Neural Computation,1997,9(7):1457-1482
    [24]T. W. Lee. A Unifying Information-theoretic Framework for Independent Component Analysis. International Journal of Computer and Mathmatics with Application,2000,31(11):113-115
    [25]J. F.Cardoso. Infomax and Maximum Likelihood for Blind Source Separation. IEEE Signal Processing Letter,1997,4(4):112-114
    [26]杨福生,洪波.独立分量分析的原理与应用.北京:清华大学出版社,2006
    [27]T. W. Lee, M. Girolami, T. J. Sejnowski. Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. Neural Computation,1999,11:417-441
    [28]J. J. Rieta, F. Castells, C.Sanchez, et al.Atrial Activity Extraction for Atrial Fibrillation Analysis Using Blind Source Separation. IEEE Trans. Biomedical Engineering,2004,51(7):1176-1186
    [29]苏斓.基于独立分量分析的房颤信号提取的研究.硕士学位论文.
    [30]F. Castells, J. J. Rieta, Millet, et al. Spatiotemporal blind source separation approach to atrial activity estimation in atrial tachyarrhythmias. IEEE Trans. Biomed. Eng.52,258-267.
    [31]Slocum J, Byrom E, McCarthy L, et al.Computer Detection of Atrioventricular Dissociation from Surface Electrocardiograms during Wide QRS Complex Tachycardia. Circulation,1985,27:1028-1036
    [32]Slocum J,Sahakian A, Swiryn S. Diagnosis of Atrial Fibrillation from Surface Electrocardiograms Based Compute-detected Atrial Activity.J Electrocardiol,1992,25:1-8
    [33]Thakor N V, Zhu Y S. Application ofAdaptive Filtering to ECG Analysis:Noise Cancellation and Crthythmia Detection. IEEE Trans. Biomedical Engineering,1991,38:785-794
    [34]Stridh M, SornmoL. Spatiotemporal QRST Cancellation Techniques for Analysis of Atrial Fibrillation. IEEE Trans. Biomedical Engineering,2001,48:105-111
    [35]Castells F, lgual J, Millet J, et al.Atrial Activity Extraction from Atrial Fibrillation Episodes based on Maximum Likelihood Source Separation. Signal Processing,2005,85(3):523-535
    [36]Langley, Rieta J J, Stridh M, et al. Comparison of Atrial Signal Extraction Algorithms in 12-lead ECGs with Atrial Fibrillation. EEE Trans. Biomedical Engineering,2006,53(2):343-346
    [37]Rieta J J. Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial Fibrillation.ICA2006,2006:478-485
    [38]Nault,et al. Clinical value of fibrillatory wave amplitude on surface ECG in patients with persistent atrial fibrillation. J Interv Card Electrophysiol,2009.26(1):p.11-9.
    [39]Alcaraz R, Rieta J J.A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms Biomed. Signal Process. Control 51-14
    [40]Alcaraz R, Rieta J J. The application of nonlinear metrics to assess organization differences in short recordings of paroxysmal and persistent atrial fibrillation. Physiol. Meas.31 (2010) 115-130
    [41]Stridh M, Sornmo L,Meurling CJ, Olsson SB. Sequential characterization of atrial tachyarrhythmias based on ECG time-frequency analysis. IEEE Trans. Biomed. Eng.51,100-114.
    [42]Sandberg F, Stridh M, Sornmo L. Robust time-frequency analysis of atrial fibrillation using hidden Markov models. IEEE Trans. Biomed. Eng.55,502-511.
    [43]Bollmann A, Kanuru N, McTeague K, Walter P, DeLurgio D B, Langberg J. Frequency analysis of human atrial fibrillation using the surface electrocardiogram and its response to ibutilide. Am. J. Cardiol.81, 1439-1445.
    [44]Holm M, et al. Non-invasive assessment of atrial refractoriness during atrial fibrillation in man-introducing, validating, and illustrating a new ECG method. Cardiovasc. Res.38,69-81.
    [45]Petrutiu S, Sahakian AV, Fisher WB, Swiryn S. Manifestation of left atrial events in the surface electrocardiogram. In Proc. Computers in Cardiology, vol.33, pp.1-4.
    [46]Husser D,Stridh M, Cannom DS, Bhandari AK, Girsky MJ, Kang S,Sornmo L, Olsson SB, Bollmann A. Validation and clinical application of time-frequency analysis of atrial fibrillation electrocardiograms. J. Cardiovasc. Electrophysiol.18,41-46.
    [47]Meurling CJ, Ingemansson MP, Roijer A, Carlson J, Lindholm CJ, Smideberg B, Sornmo L, Stridh M, Olsson SB. Attenuation of electrical remodelling in chronic atrial fibrillation following oral treatment with verapamil. Europace,234-241.
    [48]Xi Q, Sahakian AV, Ng J, Swiryn S. Atrial fibrillatory wave characteristics on surface electrocardiogram. J. Cardiovasc. Electrophysiol.15,911-917.
    [49]Allessie M, Ausma J, Schotten U. Electrical, contractile and structural remodeling during atrial fibrillation. Cardiovasc. Res.54,230-246.
    [50]Sasak T, et al. Long-term follow-up of changes in fibrillation waves in patients with persistent atrial fibrillation:spectral analysis of surface ECG. Circ. J.70,169-173.
    [51]Niwano S, Fukaya H, Sasaki T, Hatakeyama Y, Fujiki A, Izumi T. Effect of oral L-type calcium channel blocker on repetitive paroxysmal atrial fibrillation:spectral analysis of fibrillation waves in the Holter monitoring. Europace 9,1209-1215.
    [52]Bollmann A, Husser D, Stridh M, Sornmo L, Hindricks G, Roden DM, Darbar D.A genotype dependent intermediate ECG phenotype in patients with persistent lone atrialfibrillation. Circulation 116,477.
    [53]Nilsson F, Stridh M, Bollmann A, Sornmo.Predicting spontaneous termination of atrial fibrillation using the surface ECG. Med. Eng. Phys. 26,802-808.
    [54]Husser D, Cannom DS, Bhandari AK, Stridh M, Sornmo L,Olsson SB, Bollmann A. Electrocardiographic characteristics of fibrillatory waves in new-onset atrial fibrillation.
    [55]Bollmann A, Sonne K, Esperer HD, Toepffer I, Langberg JJ, Klein HU. Non-invasive assessment of fibrillatory activity in patients with paroxysmal and persistent atrial fibrillation using the Holter ECG. Cardiovasc Res 1999;44:60.
    [56]Stambler BS, Wood MA, Ellenbogen KA. Antiarrhythmic actions of intravenous ibutilide compared with procainamide during human atrial flutter and fibrillation:electrophysiological determinants of enhanced conversion efficacy. Circulation 1997;96:4298-4306.
    [57]Boahene KA, Klein GJ, Yee R, Sharma AD, Fujimura O. Termination of acute atrial fibrillation in the Wolff-Parkinson-White syndrome by procainamide and propafenone:importance of atrial fibrillatory cycle length. J Am Coll Cardiol 1990;16:1408-1414
    [58]Holmqvist F, Stridh M, Waktare JE, Sornmo L, Olsson SB, Meurling CJ. Atrial fibrillatory rate and sinus rhythm maintenance in patients undergoing cardioversion of persistent atrial fibrillation. Eur Heart J 2006:27:2201.
    [59]Bollmann A, et al. Echo-and electrocardiographic predictors for atrial fibrillation recurrence following cardioversion. J. Cardiovasc. Electrophysiol.14,162-165.
    [60]Bollmann A, Mende M, Neugebauer A, Pfeiffer D. Atrial fibrillatory frequency predicts atrial defibrillation threshold and early arrhythmia recurrence in patients undergoing internal cardioversion of persistent atrial fibrillation. Pacing Clin. Electrophysiol.25,1179-1184.
    [61]S Matsuo, N Lellouche, et al. Clinical Predictors of Termination and Clinical Outcome of Catheter Ablation for Persistent Atrial Fibrillation. J Am Coll Cardiol, vol.140, no.9, pp.788-795,2009.
    [62]Garibaldi M, Zarzoso V, Latcu DG, Saoudi N. Predicting catheter ablation outcome in persistent atrial fibrillation using atrial dominant frequency and related spectral features. Conf Proc IEEE Eng Med Biol Soc. 2012:2012:613-6.
    [63]Everett THt, Wilson EE, Verheule S, Guerra JM, Foreman S, Olgin JE. Structural atrial remodeling alters the substrate and spatiotemporal organization of atrial fibrillation:a comparison in canine models of structural and electrical atrial remodeling. Am J Physiol Heart Circ Physiol. Dec 2006:291(6):H2911-2923.
    [64]Kim KB, Rodefeld MD, Schuessler RB, Cox JL, and Boineau JP. Relationship between local atrial fibrillation interval and refractory period in the isolated canine atrium. Circulation 94:2961-2967,1996.
    [65]Lammers WJEP, Alessi MA, Rensma PL, and Schalij MJ. The use of fibrillation cycle length to determine spatial dispersion in electrophysiological properties and to characterise the underlying mechanism of fibrillation. New Trends Arrhythmias 2:109-112,1986
    [66]Merritt H. Raitt et al.Correlations among the frequencies of atrial activity on the surface electrocardiogram, intracardiac atrial electrograms, and the atrial effective refractory period in patients with atrial fibrillation.Journal of Electrocardiology 45 (2012) 296-304
    [67]Rieta et al. Derivation of Atrial Surface Reentries Applying ICA to the Standard Electrocardiogram of Patients in Postoperative Atrial Fibrillation. ICA 2006, LNCS 3889, pp.478-485,2006.
    [68]Phlypo RD, Asseler Y, Lemahieu I, Zarzoso V. Extraction of the atrial activity from the ECG based on independent component analysis with prior knowledge of the source kurtosis signs. In Proc. IEEE EMBS, p.6499-6502.
    [69]Michel Haissaguerre, Prashanthan Sanders et al. Changes in Atrial Fibrillation Cycle Length and Inducibility During Catheter Ablation and Their Relation to Outcome. Circulation.2004;109:3007-3013
    [70]Ndrepepa G, Karch MR, Schneider MAE, et al. Characterization of paroxysmal and persistent atrial fibrillation in the human left atrium during initiation and sustained episodes. J Cardiovasc Electrophysiol.2002;13:525-532
    [71]Morillo CA, Klein GJ, Jones DL, Guiraudon CM. Chronic rapid atrial pacing. Structural, functional, and electrophysiological characteristics of a new modelof sustained atrial fibrillation. Circulation. Mar 1 1995:91(5):1588-1595.
    [72]Lazar S, Dixit S, Marchlinski FE, Callans DJ, Gerstenfeld EP. Presence of left-to-right atrial frequency gradient in paroxysmal but not persistent atrial fibrillation in humans. Circulation 110,3181-3186.
    [73]Choudhary MB, Holmqvist F, Carlson J, Nilsson HJ, Roijer A, Platonov PG. Low atrial fibrillatory rate is associated with spontaneous conversion of recent-onset atrial fibrillation. Europace.2013 Mar 20.
    [74]Allessie M, Ausma J, Schotten U. Electrical, contractile and structural remodeling during atrial fibrillation. Cardiovasc. Res.54,230-246.
    [75]Sasaki T, et al. Long-term follow-up of changes in fibrillation waves in patients with persistent atrial fibrillation:spectral analysis of surface ECG. Circ. J.70,169-173.
    [76]Petrutiu S, Sahakian AV, Swiryn S. Short-term dynamics in fibrillatory wave characteristics at the onset of paroxysmal atrial fibrillation in humans. J Electrocardiol 2007;40:155.
    [77]Platonov et al. Analysis of atrial fibrillatory rate during spontaneous episodes of atrial fibrillation in humans using implantable loop recorder electrocardiogram. Journal of Electrocardiology,2012;45(6):723-6
    [78]Bollmann A, Sonne K, Esperer H, Toepffer I and Klein H 2000 Circadian variations in atrial fibrillatory frequency in persistent human atrial fibrillation Pacing Clin. Electrophysiol.23 1867-71.
    [79]Meurling C, Waktare J, Holmqvist F, Hedman A, Camm A, Olsson S and Malik M 2001 Diurnal variations of the dominant cycle length of chronic atrial fibrillation Am. J. Physiol.280 H401-6.
    [80]Frida Sandberg, Andreas Bollmann, Daniela Husser, Martin Stridh and Leif Sornmo. Circadian variation in dominant atrial fibrillation frequency in persistent atrial fibrillation. Physiol Meas.2010 Apr;31(4):531-42.
    [81]Gould PA, Yii M, McLean C, Finch S, Marshall T, Lambert GW, Kaye DM. Evidence for increased atrial sympathetic innervation in persistent human atrial fibrillation. Pacing Clin Electrophysiol.2006;29:821-829.
    [82]Patterson E, Po SS, Scherlag BJ, Lazzara R. Triggered firing in pul-monary veins initiated by in vitro autonomic nerve stimulation. Heart Rhythm.2005;2:624-631.
    [83]Tomita T, Takei M, Saikawa Y, Hanaoka T, Uchikawa S, Tsutsui H, Aru-ga M, Miyashita T, Yazaki Y, Imamura H, Kinoshita O, Owa M, Kubo K. Role of autonomic tone in the initiation and termination of paroxysmal atrial fibrillation in patients without structural heart disease. J Cardio-vasc Electrophysiol.2003;14:559-564.
    [84]Bollmann A, Tveit A, Husser D, Stridh M, Sornmo L, Smith P, Olsson SB. Fibrillatory rate response to candesartan in persistent atrial fibrillation. Europace.2008;10:1138-1144.
    [85]Xi Q, Sahakian AV, Frohlich TG, Ng J, Swiryn S. Relationship between pattern of occurrence of atrial fibrillation and surface electrocardiographic fibrillatory wave characteristics. Heart Rhythm 2004;1:656-63.
    [86]Bollmann A, Husser D, Stridh M, Holmqvist F, Roijer A, Meurling CJ et al. Atrial fibrillatory rate and risk of left atrial thrombus in atrial fibrillation. Europace 2007;9:621-6.
    [87]Sakabe K, Fukuda N, Soeki T, Shinohara H, Tamura Y, Wakatsuki T et al. Relation of age and sex to atrial electrophysiological properties in patients with no history of atrial fibrillation. Pacing Clin Electrophysiol 2003:26:1238-44.
    [88]Becker AE. How structurally normal are human atria in patients with atrial fibrillation? Heart Rhythm.2004;1:627-631.
    [89]Havmoller R, Carlson J, Holmqvist F, Herreros A, Meurling CJ, Olsson B, Platonov P. Age-related changes in p wave morphology in healthy subjects. BMC Cardiovasc Disord.2007;7:22.
    [90]Babaev AA, Vloka ME, Sadurski R, Steinberg JS. Influence of age on atrial activation as measured by the p-wave signal-averaged electrocardiogram. Am J Cardiol.2000:86:692-695.
    [91]Centurion OA, Shimizu A, Isomoto S, Konoe A, Kaibara M, Hayano M, Yano K. Influence of advancing age on fractionated right atrial endocardial electrograms. Am J Cardiol.2005;96:239-242.
    [92]Swartz MF, Fink GW, Lutz CJ, Taffet SM, Berenfeld 0, Vikstrom KL, Kasprowicz K, Bhatta L, Puskas F, Kalifa J, Jalife J. Left versus right atrial difference in dominant frequency, k(+) channel transcripts, and fibrosis in patients developing atrial fibrillation after cardiac surgery. Heart Rhythm.2009:6:1415-1422.
    [93]Peters RW, Gold MR. The influence of gender on arrhythmias. Cardiol Rev 2004:12:97-105.
    [94]Chen YJ, Lee SH, Hsieh MH, Hsiao CJ, Yu WC, Chiou CW et al. Effects of 17beta-estradiol on tachycardia-induced changes of atrial refractoriness and cisapride-induced ventricular arrhythmia. J Cardiovasc Electrophysiol 1999:10:587-98.
    [95]Tse HF, Oral H, Pelosi F, Knight BP, Strickberger SA, Morady F. Effect of gender on atrial electrophysiologic changes induced by rapid atrial pacing and elevation of atrial pressure. J Cardiovasc Electrophysiol 2001:12:986-9.

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