ВОЗМОЖНОСТИ ХОЛТЕРОВСКОГО МОНИТОРИРОВАНИЯ ЭКГ У ПАЦИЕНТОВ С ОСТРЫМ КОРОНАРНЫМ СИНДРОМОМ НИЗКОГО РИСКА
Актуальность: Острый коронарный синдром — это болезнь, приводящая к частым осложнениям и летальным исходам, что обосновывает высокую актуальность поиска инструментов для идентификации, стратификации и предикции пациентов, нуждающихся в профилактике и лечении. Цель: провести анализ литературы диагностических, прогностических параметров ХМЭКГ при остром коронарном синдроме, инфаркте миокарда. Стратегия поиска: Поиск проводился через базы Pubmed, Elsevier, Medline, SpringerLink, Google Scholar, Cochrane Library, CyberLeninka. Выполнялся поиск с 2000 года по 2021 годы, глубина поиска 20 лет. Результаты поиска привели к выявлению 157 публикаций, из них в статью отобраны 60 статей, включающие данные о рандомизированных и когортных исследованиях, мета-анализы. Изучению подлежали те литературные источники, которые рассматривали результаты холтеровского мониторирования у пациентов с ОКС, в том числе низкого риска. Результаты и выводы: в результате анализа источников литературы опции холтеровского мониторирования ЭКГ представляют собой ценный диагностический, прогностический инструмент для выявления пациентов со скрытыми рисками осложнений и смерти. Данный обзор представляет изложение текущей ситуации применения холтеровского мониторирования ЭКГ для пациентов с инфарктом миокарда и острым коронарным синдромом, в том числе группы низкого риска.
Райхан Р. Мурзабаева1, https://orcid.org/0000-0003-2871-8498 Гульнар К. Жусупова1, Галия Т. Смаилова1 1 НАО «Медицинский университет Астана», г. Нур-Султан, Республика Казахстан.
1. Актаева Л.М. О мерах по снижению общей смертности по РК. Презентация. Министерство Здравоохранения РК. г. Нур-Султан, 2019 г. Дата обращения: 1 октября 2020. 2. Скопец И.С., Везикова Н.Н. Оценка взаимосвязи между риском по шкале Grace и тяжестью поражения коронарного русла у молодых пациентов с острым коронарным синдромом // Кардиоваскулярная терапия и профилактика, 2016. 15(3): 31-36. https://doi.org/10.15829/1728-8800-2016-3-31-36. 3. Achar Suraj A., Kundu S., Norcross W. A. Diagnosis of acute coronary syndrome // American Family Physician. 2005. № 72(1). С. 125. 4. Azlan Helmy Abd Samat, Hashim Embong et al. Predicting Ventricular Arrhythmias and In-Hospital Mortality in Acute Coronary Syndrome Patients Presenting to the Emergency Department. Submitted: 12 May, 2020 Accepted: 17 June, 2020 Published: 30 June, 2020 DOI:10.22514/sv.2020.16.0008. 5. Bauer A., Barthel P., Schneider, R., Ulm K., Muller A., Joeinig A., Schmidt G. Improved Stratification of Autonomic Regulation for risk prediction in post-infarction patients with preserved left ventricular function (ISAR-Risk) // European Heart Journal, 2008. 30(5), 576–583. doi:10.1093/eurheartj/ehn540 6. Bauer A., Kantelhardt J. W., Barthel P., Schneider R., Makikallio T., Ulm K., Schmidt G. Deceleration capacity of heart rate as a predictor of mortality after myocardial infarction: cohort study // The Lancet, 2006. 367(9523), 1674–1681. doi:10.1016/s0140-6736(06)68735-7 7. Bauer A., Malik M., Barthel P., Schneider R., et al. Turbulence dynamics: An independent predictor of late mortality after acute myocardial infarction // International Journal of Cardiology, 2006. 107(1), 42–47. doi: 10.1016/j.ijcard.2005.02.037 8. Bauer A., Malik M., Schmidt G., et al. Heart Rate Turbulence: Standards of Measurement, Physiological Interpretation, and Clinical Use // Journal of the American College of Cardiology, 2008. 52(17), 1353–1365. doi: 10.1016/j.jacc.2008.07.041 9. Bilous Z.О. Characteristics of indicators of Holter ECG monitoring, Indicators of heart rate variability and their relationship with the duration of QT interval in patients with Acute coronary syndrome. Publishing House “Baltija Publishing”, 2020 baltijapublishing.lv. 2020. DOI 10.30525/978-9934-588-44-0/02. 10. Boersma E., Pieper K.S., Steyerberg E.W., et al. Predictors of Outcome in Patients with Acute Coronary Syndromes Without Persistent ST-Segment Elevation: Results From an International Trial of 9461 Patients // Circulation, 2000. 101(22), 2557–2567. doi: 10.1161/01.cir.101.22.2557 11. Bonnemeier H. Reflex Cardiac Activity in Ischemia and Reperfusion: Heart Rate Turbulence in Patients Undergoing Direct Percutaneous Coronary Intervention for Acute Myocardial Infarction // Circulation, 2003. 108(8), 958–964. doi: 10.1161/01.cir.0000085072. 19047.d8 12. Bonnemeier H., Hartmann F., Wiegand U. K., Irmer C., Kurz T., Tolg R., Richardt G. Heart rate variability in patients with acute myocardial infarction undergoing primary coronary angioplasty // The American Journal of Cardiology, 2000. 85(7), 815–820. doi:10.1016/s0002-9149(99)00873-5 13. Camm A.J. Mortality in Patients After a Recent Myocardial Infarction: A Randomized, Placebo-Controlled Trial of Azimilide Using Heart Rate Variability for Risk Stratification // Circulation, 2004. 109(8), 990–996. doi: 10.1161/01.cir.0000117090.01718.2a 14. Collet Jean-Philippe, Holger Thiele, Emanuele Barbato, Olivier Barthelemy et al. 2020 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation: The Task Force for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation of the European Society of Cardiology (ESC) // European Heart Journal, Volume 42, Issue 14, 7 April 2021, Pages 1289–1367, https://doi.org/10.1093/eurheartj/ehaa575 15. Collet J.P., Thiele H., Barbato E. et al. ESC NSTE_ACS Guidelines: Key Points // American Collellege of Cardiology. 2020. Aug 29, 2020. Debabrata Mukherjee, MD, FACC. 16. Das M.K., Michael M.A., Suradi H., Peng J., Sinha A., Shen C., Kovacs R.J. Usefulness of Fragmented QRS on a 12-Lead Electrocardiogram in Acute Coronary Syndrome for Predicting Mortality // The American Journal of Cardiology, 2009. 104(12), 1631–1637. doi: 10.1016/j.amjcard.2009.07.046 17. David Markel. Identifying Emergency Department Patients with Chest Pain Who Are at Low Risk for Acute Coronary Syndromes // EB Medicine July 2017, V.19, №7. 18. Dijk V. F., Quast A.F., Schaap J., Balt J.C., Kelder J.C., Wijffels M.C., Boersma L.V. ICD Implantation for Secondary Prevention in Patients with Ventricular Arrhythmia in the Setting of Acute Cardiac Ischemia and a History of Myocardial Infarction // Journal of Cardiovascular Electrophysiology. 2020. doi:10.1111/jce.14357 19. Eagle K.A., Lim M.J., Dabbous O.H., Pieper K.S., Goldberg R.J., Van de Werf F., for the GRACE Investigators. A Validated Prediction Model for All Forms of Acute Coronary Syndrome // JAMA, 2004. 291(22), 2727. doi:10.1001/jama.291.22.2727 20. Everett C.C., Fox K.A., Reynold C., Fernandez C., Sharples L., Stocke D.D., Gale C.P. Evaluation of the impact of the GRACE risk score on the management and outcome of patients hospitalised with non-ST elevation acute coronary syndrome in the UK: protocol of the UKGRIS cluster-randomised registry-based trial // BMJ Open, 2019. 9(9), e032165. doi:10.1136/bmjopen-2019-032165 21. Exner D.V. Noninvasive risk stratification after myocardial infarction: Rationale, current evidence and the need for definitive trials // Canadian Journal of Cardiology, (2009). 25, 21A–27A. doi:10.1016/s0828-282x (09)71050-5 22. Exner D.V., Kavanagh K.M., Slawnych M.P., Mitchell L.B., Ramadan D., Aggarwal S.G., Duff H.J. Noninvasive Risk Assessment Early After a Myocardial Infarction // Journal of the American College of Cardiology, (2007). 50(24), 2275–2284. doi: 10.1016/j.jacc.2007.08.042 23. Fang S.C., Wu Y.L., Tsai P.S. Heart Rate Variability and Risk of All-Cause Death and Cardiovascular Events in Patients with Cardiovascular Disease: A Meta-Analysis of Cohort Studies // Biological Research for Nursing, 2019. 109980041987744. doi:10.1177/1099800419877442 24. Fox K.A., Anderson F.A., Dabbous O.H., Steg P.G., Lopez-Sendon J., Van de Werf F. Intervention in acute coronary syndromes: do patients undergo intervention on the basis of their risk characteristics? The Global Registry of Acute Coronary Events (GRACE) // Heart, 2005.93(2), 177–182. doi:10.1136/hrt.2005.084830 25. Fox K.A., Eagle K.A., Gore J. M., Steg P.G., Anderson F.A. The Global Registry of Acute Coronary Events, 1999 to 2009-GRACE. // Heart, (2010). 96(14), 1095–1101. doi:10.1136/hrt.2009.190827 26. Fox K., Borer J. S., Camm A. J., Danchin N., Ferrari R., Lopez Sendon J. L., Tendera M. Resting Heart Rate in Cardiovascular Disease. Journal of the American College of Cardiology // 2007. 50(9), 823–830. doi: 10.1016/j.jacc.2007.04.079. 27. Gareeva D., Zagidullin N., Lakman I., Islamova R., Zagidullin S. Heart rate turbulence as a mortality predictor in long term study in patients with coronary heart disease // Russian Journal of Cardiology. 2016. (4-eng):190-194. https://doi.org/10.15829/1560-4071-2016-4-eng-190-194 oct 01, 2020. 28. Gehi A.K., Stein R.H., Metz L. D., Gomes J.A. Microvolt T-Wave Alternans for the Risk Stratification of Ventricular Tachyarrhythmia Events. Journal of the American College of Cardiology, 2005. 46(1), 75–82. doi: 10.1016/j.jacc.2005.03.059 29. Gibson C.M., Ciaglo L.N., Southard M.C., Takao S., Harrigan C., Lewis J., Buros J. Diagnostic and prognostic value of ambulatory ECG (Holter) monitoring in patients with coronary heart disease: a review // Journal of Thrombosis and Thrombolysis, 2007. 23(2), 135–145. doi:10.1007/s11239-006-9015-6 30. Gibson C.M., Morrow D.A., Murphy S.A., Palabrica T.M., Jennings L.K., Stone P.H., Braunwald E. A Randomized Trial to Evaluate the Relative Protection Against Post-Percutaneous Coronary Intervention Microvascular Dysfunction, Ischemia, and Inflammation Among Antiplatelet and Antithrombotic Agents. Journal of the American College of Cardiology, 2006. 47(12), 2364–2373. doi: 10.1016/j.jacc.2005.12.077 31. Gimeno-Blanes F.J., Blanco-Velasco M. et al. Cardiac Risk Stratification with Electrocardiographic Indices - A Review on Computational Processing, Technology Transfer, and Scientific Evidence. Frontiers in Physiology, 2016. 7. doi:10.3389/fphys.2016.00082 32. Gongming Luo, Qian Li, Jingwei Duan, Yu Peng, Zheng Zhang. The Predictive Value of Fragmented QRS for Cardiovascular Events in Acute Myocardial Infarction: A Systematic Review and Meta-Analysis. Front Physiol. 2020 Oct 6; 11:1027. DOI:10.3389/fphys.2020.01027 33. Gupta S., Pressman G.S., Figueredo V.M. Incidence of, predictors for, and mortality associated with malignant ventricular arrhythmias in non-ST elevation myocardial infarction patients // Coronary Artery Disease, 2010. 21(8), 460–465. doi:10.1097/mca.0b013e32834022fa 34. Harris P., Stein, P., Fung, G., Drew B. Heart rate variability measured early in patients with evolving acute coronary syndrome and 1-year outcomes of rehospitalization and mortality // Vascular Health and Risk Management, 2014. 451. doi:10.2147/vhrm. s57524 35. Ikeda T., Saito H., Tanno K., Shimizu H., Watanabe J., Ohnishi Y., Ozawa Y. T-wave alternans as a predictor for sudden cardiac death after myocardial infarction // The American Journal of Cardiology, 2002. 89(1), 79–82. doi:10.1016/s0002-9149(01)02171-3 36. Jiang J.S., Kor C.T., Kuo D.D., Lin C.H., Chang C.C., Chen G.Y., Kuo C.D. Residual heart rate variability measures can better differentiate patients with acute myocardial infarction from patients with patent coronary artery // Therapeutics and Clinical Risk Management, 2018. Volume 14, 1923–1931. doi:10.2147/tcrm. s178734 37. Jorgensen R.M., Abildstrom S.Z., Levitan J., Kobo R., Puzanov N., Lewkowicz M. Heart Rate Variability Density Analysis (Dyx) and Prediction of Long-Term Mortality after Acute Myocardial Infarction // Annals of Noninvasive Electrocardiology, 2015. 21(1), 60–68. doi:10.1111/anec.12297 38. Jorgensen R.M., Levitan J., Halevi Z., Puzanov N., Abildstrom S. Z., Messier M.D., Jons C. Heart rate variability density analysis (Dyx) for identification of appropriate implantable cardioverter defibrillator recipients among elderly patients with acute myocardial infarction and left ventricular systolic dysfunction // Europace. 2015. 17(12), 1848–1854. doi:10.1093/europace/euu394 39. Kennedy H.L. The Evolution of Ambulatory ECG Monitoring // Progress in Cardiovascular Diseases, 2013. 56(2), 127–132. doi: 10.1016/j.pcad.2013.08.005 40. Kovar D., Cannon C. P., Bentley J.H., Charlesworth A., Rogers W.J. Does initial and delayed heart rate predict mortality in patients with acute coronary syndromes? // Clinical Cardiology, 2004. 27(2), 80–86. doi:10.1002/clc.4960270207 41. Kuan-Jen Su, Wen-Yu Lin, Wei-Shiang Lin et al. Prognostic Effect of Restoring Sinus Rhythm in Patients with New-Onset Atrial Fibrillation during Acute Coronary Syndrome // Acta Cardiol Sin. 2021 Mar; 37(2): 155–165. doi: 10.6515/ACS.202103_37(2).20200915A 42. Lee T.H., Goldman L. Evaluation of the Patient with Acute Chest Pain. New England Journal of Medicine, 2000. 342(16), 1187–1195. doi:10.1056/nejm200004203421607 43. Liang Di, Jingyi Zhang, Li Lin and Wenxia Zong. The Differences in the characteristics of the fragmented QRS complex and the effect on mortality in patients with acute coronary syndrome // Acta Cardiol Sin. 2017 nov; 33 (6): 588-595. DOI: 10.6515 / ACS20170810B 44. Lopes R.D., White J.A., Atar D., Keltai M., Kleiman N.S., White H.D., Newby L.K. Incidence, treatment, and outcomes of atrial fibrillation complicating non-ST-segment elevation acute coronary syndromes // International Journal of Cardiology, 2013. 168(3), 2510–2517. doi: 10.1016/j.ijcard.2013.03.037 45. Makikallio T.H., Barthel P., Schneider R., et al. Prediction of sudden cardiac death after acute myocardial infarction: role of Holter monitoring in the modern treatment era // European Heart Journal, 2005. 26(8), 762–769. doi:10.1093/eurheartj/ehi188 46. Morrow D.A., Antman E.M., Charlesworth A., et al. TIMI Risk Score for ST-Elevation Myocardial Infarction: A Convenient, Bedside, Clinical Score for Risk Assessment at Presentation: An Intravenous nPA for Treatment of Infarcting Myocardium Early II Trial Substudy // Circulation, 2000. 102(17), 2031–2037. doi: 10.1161/01.cir.102.17.2031 47. Parkhomenko A., Dovgan N., Lutay Ya., Kozhukhov S. Markers of Poor Prognosis in Non-ST Segment Elevation Acute Coronary Syndromes Without Revascularization: A 3-Year Survival Analysis Archives. Vol 2 No 2 (2018)/ e000139. 48. Pietrasik G., Goldenberg I., Zdzienicka J., Moss A.J., Zareba W. Prognostic Significance of Fragmented QRS Complex for Predicting the Risk of Recurrent Cardiac Events in Patients With Q-Wave Myocardial Infarction // The American Journal of Cardiology, 2007. 100(4), 583–586. doi: 10.1016/j.amjcard.2007.03.063 49. Pizzetti F. Incidence and prognostic significance of atrial fibrillation in acute myocardial infarction: the GISSI-3 data // Heart, 2001. 86(5), 527–532. doi:10.1136/heart.86.5.527 50. Priori S.G., Blomstrom-Lundqvist C. et al. ESC Guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death // European Heart Journal, 2015. 36(41), 2793–2867. doi:10.1093/eurheartj/ehv316 51. Sade E., Aytemir K., Oto A., Nazli N., Ozmen F., Ozkutlu H., Kes S. Assessment of Heart Rate Turbulence in the Acute Phase of Myocardial Infarction for Long-Term Prognosis // Pacing and Clinical Electrophysiology, 2003. 26(2p1), 544–550. doi:10.1046/j.1460-9592.2003. 00092.x 52. Sanchis-Gomar F., Perez-Quilis C., Leischik R., Lucia A. Epidemiology of coronary heart disease and acute coronary syndrome // Annals of Translational Medicine, 2016. 4(13), 256–256. doi:10.21037/atm.2016.06.33 53. Sreenivasan J., Abu‐Haniyeh A., Hooda U., Khan M.S., Arono W.S., Michos E.D., Panza J.A. Rate, causes, and predictors of 90‐day readmissions and the association with index hospitalization coronary revascularization following non‐ST elevation myocardial infarction in the United States // Catheterization and Cardiovascular Interventions. 2020. doi:10.1002/ccd.29119 54. Stein P.K., Domitrovich P.P., Huikuri H.V., Kleiger R.E. Traditional and Nonlinear Heart Rate Variability Are Each Independently Associated with Mortality after Myocardial Infarction // Journal of Cardiovascular Electrophysiology, 2005. 16(1), 13–20. doi:10.1046/j.1540-8167.2005. 04358.x 55. Tan Walter, Yang Eric H. Which factors indicate a low risk for acute coronary syndrome in unstable angina? // Medscape. oct 01, 2020. 56. Tapanainen J.M., Still A.M., Airaksinen K.E.J., Huikuri H.V. Prognostic Significance of Risk Stratifiers of Mortality, Including T Wave Alternans, After Acute Myocardial Infarction: Results of a Prospective Follow-Up Study // Journal of Cardiovascular Electrophysiology, 2001. 12(6), 645–652. doi:10.1046/j.1540-8167.2001. 00645.x 57. Thomas D.E., Jex N., Thornley A.R. Ventricular arrhythmias in acute coronary syndromes-mechanisms and management // Continuing Cardiology Education, 2017. 3(1), 22–29. doi:10.1002/cce2.51 58. World Health Organization. Cardiovascular diseases (CVDs). 17 May 2017. Key facts Available on the Internet: https://www.who.int/ru/news-room/fact sheets/detail/cardiovascular-diseases-(cvds). oct 01, 2020. 59. World Health Organization. World Health Data Platform. Data stories. Leading causes of death and disability 2000-2019: A visual summary. https://www.who.int/data/stories/leading-causes-of-death-and-disability-2000-2019-a-visual-summary. oct 01, 2020. 60. Zhang Zai-Qiang, Jia-Wang Ding, Xin-An Wang, Cai-Yun Luo et al. Abnormal circadian rhythms are associated with plaque instability in acute coronary syndrome patients // Int J Clin Exp Pathol. 2019; 12(10): 3761–3771. PMCID: PMC6949736. PMID: 31933764. References: [1-2] 1. Aktaeva L.M. O merakh po snizheniyu obshchei smertnosti po RK. Ministerstvo Zdravookhraneniya RK. Prezentatsiya [On measures to reduce overall mortality in the Republic of Kazakhstan. Ministry of Health of the Republic of Kazakhstan. Presentation]. g. Nur-Sultan 2019. rcrz.kz. (accessed: 01 October 2020). 2. Skopets I.S., Vezikova N.N. Otsenka vzaimosvyazi mezhdu riskom po shkale Grace i tyazhest'yu porazheniya koronarnogo rusla u molodykh patsientov s ostrym koronarnym sindromom [Evaluation of the relationship between risk on the Grace scale and the severity of coronary disease in young patients with acute coronary syndrome]. Kardiovaskulyarnaya terapiya i profilaktika [Cardiovascular therapy and prevention], 2016. 15(3): 31-36. https://doi.org/10.15829/1728-8800-2016-3-31-36. (accessed: 01 October 2020).
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Мурзабаева Р.Р., Жусупова Г.К., Смаилова Г.Т. Возможности Холтеровского мониторирования ЭКГ у пациентов с острым коронарным синдромом низкого риска // Наука и Здравоохранение. 2022. 1 (Т.24). С. 117-125. doi 10.34689/SH.2022.24.1.014