Yonsei Med J.  2016 Nov;57(6):1339-1346. 10.3349/ymj.2016.57.6.1339.

Repolarization Heterogeneity of Magnetocardiography Predicts Long-Term Prognosis in Patients with Acute Myocardial Infarction

Affiliations
  • 1Cardiology Division, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea. cby6908@yuhs.ac
  • 2Department of Cardiology, University of Ulsan College of Medicine, Gangneung Asan Hospital, Gangneung, Korea.
  • 3Bio-Signal Research Center, Korea Research Institute of Standards and Science, Daejeon, Korea.

Abstract

PURPOSE
Magnetocardiography (MCG) has been proposed as a noninvasive, diagnostic tool for risk-stratifying patients with acute myocardial infarction (AMI). This study evaluated whether MCG predicts long-term prognosis in AMI.
MATERIALS AND METHODS
In 124 AMI patients (95 males, mean age 60±11 years), including 39 with ST-elevation myocardial infarction, a 64-channel MCG was performed within 2 days after AMI. During a mean follow-up period of 6.1 years, major adverse cardiac events (MACE) were evaluated.
RESULTS
MACE occurred in 31 (25%) patients, including 20 revascularizations, 8 deaths, and 3 re-infarctions. Non-dipole patterns were observed at the end of the T wave in every patients. However, they were observed at T-peak in 77% (24/31) and 54% (50/93) of patients with and without MACE, respectively (p=0.03). Maximum current, field map angles, and distance dynamics were not different between groups. In the multivariate analysis, patients with non-dipole patterns at T-peak had increased age- and gender-adjusted hazard ratios for MACE (hazard ratio 2.89, 95% confidence interval 1.20-6.97, p=0.02) and lower cumulative MACE-free survival than those with dipole patterns (p=0.02).
CONCLUSION
Non-dipole patterns at T-peak were more frequently observed in patients with MACE and were related to poor long-term prognosis. Thus, repolarization heterogeneity measured by MCG may be a useful predictor for AMI prognosis.

Keyword

Acute myocardial infarction; prognosis; magnetocardiography

MeSH Terms

Aged
Aged, 80 and over
Female
Follow-Up Studies
Humans
*Magnetocardiography
Male
Middle Aged
Myocardial Infarction/*diagnosis
Predictive Value of Tests
Prognosis
Proportional Hazards Models
Republic of Korea
Sensitivity and Specificity

Figure

  • Fig. 1 Measurement of MCG. (A) MCG tracing. (B) Current vector density map. (C) Magnetic field map. Maximum current angle (C), field map angle (F), and the number and distance of poles (P) were measured every 20 ms from T-end (Te) to T-peak (Tp). MCG, magnetocardiography.

  • Fig. 2 Examples of dipole (A) and non-dipole pattern (B). The number of poles (P) is 2 and 4 in dipole and non-dipole patterns, respectively.

  • Fig. 3 Typical MCG finding from a 79-year-old female patient without MACE (A) and a 66-year-old female patient with MACE (B). MCG tracing (upper panels), spatiotemporal activation graph (middle panels), and magnetic field and current vector density maps (lower panels). While the dipole pattern was observed at Tp in the patient without MACE, the non-dipole pattern can be seen in the patient with MACE. Note continuous change and dispersion of the magnetic field from Tp to Te. MACE, major adverse cardiac events; MCG, magnetocardiography; Te, T-end; Tp, T-peak.

  • Fig. 4 MACE-free survival. Kaplan-Meier survival curves for cardiac events in patients with different repolarization patterns at Tp. Patients with non-dipole patterns at Tp had lower cumulative cardiac event-free survival than did the dipole pattern group (p=0.02). MACE, major adverse cardiac events; Tp, T-peak.


Cited by  1 articles

Repolarization Heterogeneity of Magnetocardiography Predicts Long-Term Prognosis in Patients with Acute Myocardial Infarction
Ae-Young Her, Jai-Wun Park
Yonsei Med J. 2016;57(6):1305-1306.    doi: 10.3349/ymj.2016.57.6.1305.


Reference

1. Cannon CP, McCabe CH, Stone PH, Rogers WJ, Schactman M, Thompson BW, et al. The electrocardiogram predicts one-year outcome of patients with unstable angina and non-Q wave myocardial infarction: results of the TIMI III Registry ECG Ancillary Study. Thrombolysis in Myocardial Ischemia. J Am Coll Cardiol. 1997; 30:133–140.
Article
2. Kleiman NS, Lakkis N, Cannon CP, Murphy SA, DiBattiste PM, Demopoulos LA, et al. Prospective analysis of creatine kinase muscle-brain fraction and comparison with troponin T to predict cardiac risk and benefit of an invasive strategy in patients with non-ST-elevation acute coronary syndromes. J Am Coll Cardiol. 2002; 40:1044–1050.
Article
3. Morrow DA, Rifai N, Antman EM, Weiner DL, McCabe CH, Cannon CP, et al. C-reactive protein is a potent predictor of mortality independently of and in combination with troponin T in acute coronary syndromes: a TIMI 11A substudy. Thrombolysis in Myocardial Infarction. J Am Coll Cardiol. 1998; 31:1460–1465.
Article
4. Gibson CM, Pinto DS, Murphy SA, Morrow DA, Hobbach HP, Wiviott SD, et al. Association of creatinine and creatinine clearance on presentation in acute myocardial infarction with subsequent mortality. J Am Coll Cardiol. 2003; 42:1535–1543.
Article
5. Breithardt G, Borggrefe M, Fetsch T, Böcker D, Mäkijärvi M, Reinhardt L. Prognosis and risk stratification after myocardial infarction. Eur Heart J. 1995; 16:Suppl G. 10–19.
Article
6. Fenici R, Brisinda D, Meloni AM. Clinical application of magnetocardiography. Expert Rev Mol Diagn. 2005; 5:291–313.
Article
7. Kwong JS, Leithäuser B, Park JW, Yu CM. Diagnostic value of magnetocardiography in coronary artery disease and cardiac arrhythmias: a review of clinical data. Int J Cardiol. 2013; 167:1835–1842.
Article
8. Endt P, Montonen J, Mäkijärvi M, Nenonen J, Steinhoff U, Trahms L, et al. Identification of post-myocardial infarction patients with ventricular tachycardia by time-domain intra-QRS analysis of signal-averaged electrocardiogram and magnetocardiogram. Med Biol Eng Comput. 2000; 38:659–665.
Article
9. Lim HK, Chung N, Kim K, Ko YG, Kwon H, Lee YH, et al. Can magnetocardiography detect patients with non-ST-segment elevation myocardial infarction? Ann Med. 2007; 39:617–627.
Article
10. Lim HK, Kwon H, Chung N, Ko YG, Kim JM, Kim IS, et al. Usefulness of magnetocardiogram to detect unstable angina pectoris and non-ST elevation myocardial infarction. Am J Cardiol. 2009; 103:448–454.
Article
11. Van Leeuwen P, Hailer B, Beck A, Eiling G, Grönemeyer D. Changes in dipolar structure of cardiac magnetic field maps after ST elevation myocardial infarction. Ann Noninvasive Electrocardiol. 2011; 16:379–387.
Article
12. Korhonen P, Husa T, Tierala I, Väänänen H, Mäkijärvi M, Katila T, et al. Increased intra-QRS fragmentation in magnetocardiography as a predictor of arrhythmic events and mortality in patients with cardiac dysfunction after myocardial infarction. J Cardiovasc Electrophysiol. 2006; 17:396–401.
Article
13. Korhonen P, Pesola K, Järvinen A, Mäkijärvi M, Katila T, Toivonen L. Relation of magnetocardiographic arrhythmia risk parameters to delayed ventricular conduction in postinfarction ventricular tachycardia. Pacing Clin Electrophysiol. 2002; 25:1339–1345.
Article
14. Kyoon Lim H, Kim K, Lee YH, Chung N. Detection of non-ST-elevation myocardial infarction using magnetocardiogram: new information from spatiotemporal electrical activation map. Ann Med. 2009; 41:533–546.
Article
15. Van Leeuwen P, Hailer B, Lange S, Grönemeyer D. Spatial distribution of repolarization times in patients with coronary artery disease. Pacing Clin Electrophysiol. 2003; 26:1706–1714.
Article
16. Thygesen K, Alpert JS, White HD. Joint ESC/ACCF/AHA/WHF Task Force for the Redefinition of Myocardial Infarction. Universal definition of myocardial infarction. Eur Heart J. 2007; 28:2525–2538.
17. Lee YH, Kim JM, Kim K, Kwon H, Yu KK, Kim IS. 64-channel magnetocardiogram system based on double relaxation oscillation SQUID planar gradiometers. Supercond Sci Technol. 2006; 19:S284–S288.
Article
18. Kim K, Kwon H, Lee YH, Kim TE, Kim JM, Park YK, et al. Clinical parameter assessment in magnetocardiography by using the support vector machine. Int J Bioelectromagn. 2005; 7:224–227.
19. Kim K, Lee YH, Kwon H, Kim JM, Kim IS, Park YK. Optimal sensor distribution for measuring the tangential field components in MCG. Neurol Clin Neurophysiol. 2004; 2004:60.
20. Ikefuji H, Nomura M, Nakaya Y, Mori T, Kondo N, Ieishi K, et al. Visualization of cardiac dipole using a current density map: detection of cardiac current undetectable by electrocardiography using magnetocardiography. J Med Invest. 2007; 54:116–123.
Article
21. Stinstra JG, Shome S, Hopenfeld B, MacLeod RS. Modelling passive cardiac conductivity during ischaemia. Med Biol Eng Comput. 2005; 43:776–782.
Article
22. Takala P, Hänninen H, Montonen J, Korhonen P, Mäkijärvi M, Nenonen J, et al. Heart rate adjustment of magnetic field map rotation in detection of myocardial ischemia in exercise magnetocardiography. Basic Res Cardiol. 2002; 97:88–96.
Article
23. Lin XM, Yang XL, Liu HL, Lai YQ. [Clinical assessment of Tpeak-end interval for prediction of myocardial infarction]. Nan Fang Yi Ke Da Xue Xue Bao. 2010; 30:2169–2170.
24. Eslami V, Safi M, Taherkhani M, Adibi A, Movahed MR. Evaluation of QT, QT dispersion, and T-wave peak to end time changes after primary percutaneous coronary intervention in patients presenting with acute ST-elevation myocardial infarction. J Invasive Cardiol. 2013; 25:232–234.
25. Wita K, Filipecki A, Szydło K, Turski M, Tabor Z, Wróbel W, et al. Prediction of long-term outcome after primary percutaneous coronary intervention for acute anterior myocardial infarction. Kardiol Pol. 2010; 68:393–400.
26. Smith FE, Langley P, Trahms L, Steinhoff U, Bourke JP, Murray A. Errors in repolarization measurement using magnetocardiography. Pacing Clin Electrophysiol. 2002; 25:1223–1229.
Article
Full Text Links
  • YMJ
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr