Repolarization heterogeneity of magnetocardiography predicts long-term prognosis in patients with acute myocardial infarction

Woo Dae Bang, Kiwoong Kim, Yong Ho Lee, Hyukchan Kwon, Yongki Park, Hui Nam Pak, Young Guk Ko, Moonhyoung Lee, Boyoung Joung

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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. Meterials 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 genderadjusted 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.

Original languageEnglish
Pages (from-to)1339-1346
Number of pages8
JournalYonsei medical journal
Volume57
Issue number6
DOIs
Publication statusPublished - 2016 Nov

Bibliographical note

Publisher Copyright:
© Yonsei University College of Medicine 2016.

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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