QT dispersion: another way to diagnose coronary artery disease


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Abstract

Material and methods. 112 patients with complete long-term intraventricular block were included in the observational study. 84 patients had a history of prior myocardial infarction and chronic heart failure with preserved ejection fraction, 28 had no coronary history. All participants had an ambulatory ECG monitoring and coronary angiography. Patients were divided into four groups: 1 - single-vessel coronary artery disease (CAD); 2 - two-vessel CAD; 3 - three-vessel CAD; 4 - normal coronary arteries (control group). Results. The QTd and QTcd parameters measured at rest were significantly different in the groups (p <0,001 for both parameters) being higher in group 3 (three-vessel CAD) compared to the others. A comparative analysis of QTd and QTcd at maximum heart rate, as well as QTdD and QTcdD, revealed significant differences between the groups with the maximum values recorded in patients with one-vessel CAD. The median QTd at maximum heart rate was 67 ms in group 1 (vs 34 ms in control group and 50 ms in group 3; p <0,001 in both cases), the median QTcd was 77 ms (vs 39 ms in control group and 52 ms in group 3; p <0.001). The results of a correlation analysis demonstrated a significant inverse correlation between the QTd values at the maximum heart rate and the number of affected vessels (p = -0,706; p <0,001), as well as between the QTcd at the maximum heart rate and the number of affected vessels (p = -0,818 ; p <0,001). Dependence of the number of affected vessels on the QTcd at maximum heart rate was described by the following equation: Y = 4,81 - 0.043 x XQTcd, where Y was the number of affected vessels (from 1 to 3), XQTcd was the QTcd measured at maximum heart rate. Conclusion. The use of QTd and QTcd parameters represents a new opportunity in ECG diagnostics of stable CAD in patients with complete intraventricular block.

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About the authors

Yuri N. Fedulaev

N.I. Pirogov Russian National Research Medical University of the Ministry of Healthcare of Russia

Email: kuwert@yandex.ru
MD, professor, head of the Department of faculty therapy of the Faculty of pediatrics 115280, Moscow, 1/1/15 Velozavodskaya Str

Lev L. Klykov

V.P. Demikhov City Clinical Hospital of the Department of Healthcare of Moscow

Email: kuwert@yandex.ru
PhD, doctor of the Department of endovascular diagnostics and treatment 109263, Moscow, 4 Shkuleva Str

Anastasia Yu. Lebedeva

N.I. Pirogov Russian National Research Medical University of the Ministry of Healthcare of Russia; I.V. Davydovsky City Clinical Hospital of the Department of Healthcare of Moscow

Email: kuwert@yandex.ru
MD, professor of the Department of hospital therapy No. 1 of the Faculty of medicine 111539, Moscow, 23 Veshnyakovskaya Str

Irina N. Shoshina

V.P. Demikhov City Clinical Hospital of the Department of Healthcare of Moscow

Email: kuwert@yandex.ru
cardiologist, Chief freelance cardiologist of the South-Eastern Administrative District, Outpatient Clinic 109263, Moscow, 4 Shkuleva Str

Irina V. Makarova

N.I. Pirogov Russian National Research Medical University of the Ministry of Healthcare of Russia

Email: irina-makarova93@mail.ru
assistant of the Department of faculty therapy of the Faculty of pediatrics 115280, Moscow, 1/1/15 Velozavodskaya Str

Tatiana V. Pinchuk

N.I. Pirogov Russian National Research Medical University of the Ministry of Healthcare of Russia

Email: doktor2000@inbox.ru
associate professor of the Department of faculty therapy of the Faculty of pediatrics 115280, Moscow, 1/1/15 Velozavodskaya Str

References

  1. Knuuti J., Ballo H., Juarez-Orozco L.E. et al. The performance of non-invasive tests to rule-in and rule-out significant coronary artery stenosis in patients with stable angina: a meta-analysis focused on post-test disease probability. Eur Heart J. 2018; 39(35): 3322-30. doi: 10.1093/eurheartj/ehy364.
  2. Nestelberger T., Cullen L., Lindahl B. et al. Diagnosis of acute myocardial infarction in the presence of left bundle branch block. Heart. 2019; 105(20): 1559-67. doi: 10.1136/heartjnl-2018-314673.
  3. Herweg B., Marcus M.B., Barold S.S. Diagnosis of myocardial infarction and ischemia in the setting of bundle branch block and cardiac pacing. Herzschrittmacherther Elektrophysiol. 2016; 27(3): 307-22. doi: 10.1007/s00399-016-0439-1.
  4. Mordi I., Tzemos N. Non-invasive assessment of coronary artery disease in patients with left bundle branch block. Int J Cardiol. 2015; 184: 47-55. doi: 10.1016/j.ijcard.2015.01.084.
  5. Pan K.L., Hsu J.T., Chang S.T. et al. Prognostic value of QT dispersion change following primary percutaneous coronary intervention in acute ST elevation myocardial infarction. Int Heart J. 2011; 52(4): 207-1 1. doi: 10.1536/ ihj.52.207.
  6. Guo H., Wang M., Zhao J. et al. Improvement of increased cQTd is associated with heart function in patients with ischemic heart failure. J Geriatr Cardiol. 2018; 15(1): 41-49. doi: 10.1 1909/j.issn.1671-541 1.2018.01.010.
  7. Batur M.K., Aksoyek S., Oto A. et al. Circadian variations of QTc dispersion: Is it a clue to morning increase of sudden cardiac death? Clin Cardiol. 1999; 22(2): 103-06. doi: 10.1002/clc.4960220209.
  8. Demir A.D., Senen K., Balbay Y. et al. Effects of atrial pacing on QT dispersion in patients with coronary artery disease without angina pectoris and ST segment depression. Angiology. 2001; 52(6): 393-98. doi: 10.1 177/000331970105200604.
  9. Demirtas A.O., Urgun O.D. Can QT interval prolongation or dispersion detected in a positive exercise ECG test predict critical coronary artery disease? Arch Med Sci Atheroscler Dis. 2019; 4:e7-e12. doi: 10.5114/amsad.2019.83299.
  10. Ozdemir K., Altunkeser B.B., Aydin M. et al. New parameters in the interpretation of exercise testing in women: QTc dispersion and QT dispersion ratio difference. Clin Cardiol. 2002; 25(4): 187-92. doi: 10.1002/clc.4960250410.
  11. Stankovic I., Putnikovic B., Janicijevic A. et al. Myocardial mechanical and QTc dispersion for the detection of significant coronary artery disease. Eur Heart J Cardiovasc Imaging. 2015; 16(9): 1015-22. doi: 10.1093/ehjci/jev029
  12. Yilmaz R., Demirbag R., Gur M. The association of QT dispersion and QT dispersion ratio with extent and severity of coronary artery disease. Ann Noninvasive Electrocardiol. 2006; 11(1): 43-51. doi: 10.1111/j.1542-474X.2006.00081.x.
  13. Pradhan J., Vankayala H., Niraj A. et al. QT Dispersion at rest and during adenosine stress myocardial perfusion imaging correlation with myocardial jeopardy score. Clin Cardiol. 2008; 31(5): 205-10. doi: 10.1002/clc.20153.
  14. Calo L., Levato M., Sciarra L. et al. [The effects of a left bundle-branch block on ventricular repolarization dispersion]. Cardiologia. 1996; 41(1 1): 1073-77.

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