Heart rate turbulence assessed through ergometry after myocardial infarction: a feasibility study (original) (raw)
Abstract
INTRODUCTION Coronary artery disease is a condition characterized by increased atherosclerotic plaque in the epicardial arteries and is associated with high morbidity and mortality. Coronary artery disease accounts for nearly 360,000 events per year 1 in the United States, among which most occur in the hospital setting, and many events evolve to death before the patients are transported to the emergency room. 1 In the first six months of 2019, 137,713 hospitalizations due to coronary artery disease were recorded in Brazil, and 5.8% culminated in inhospital death. 2 Some clinical factors and complementary test markers help in the prognostic evaluation of coronary artery disease. Among these, the following can be highlighted: advanced age, male gender, systemic arterial hypertension, diabetes mellitus, dyslipidemia, smoking and myocardial dysfunction. 3,4 However, the impairment of cardiac vagal activity over the first year after a diagnosis of myocardial infarction has been made is also a good indicator for identifying the development of heart disease and sudden death over the short and medium term. 5-7 Analysis on the behavior of heart rate turbulence (HRT), obtained through 24-hour Holter monitoring, is one of the easiest and most efficient means for assessing cardiac autonomic dysfunction. 8 Sade et al. 8 found that HRT was similar to the ejection fraction in an assessment of the prognosis of 128 individuals post-infarction. On the other hand, the Innovative Stratification of Arrythmic Risk-Heart Rate Turbulence (ISAR-HRT) 9 study showed that altered HRT parameters increased the risk of death almost sixfold, in a prospective analysis on 1,500 survivors of myocardial infarction analyzed over a 22-month period. This risk exceeded the risks attributed to severe ventricular dysfunction, diabetes mellitus and age over 65 years.
Figures (2)
Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.
References (19)
- Benjamin EJ, Muntner P, Alonso A, et al. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2019;139(10):e56-e528. Erratum in: Circulation. 2020;141(2):e33. PMID: 30700139; https://doi.org/10.1161/CIR.0000000000000659.
- Ministério da Saúde. DATASUS. Transformação Digital para o SUS. Available from: https://datasus.saude.gov.br/. Accessed in 2022 (Jul 18).
- Johansson S, Rosengren A, Young K, Jennings E. Mortality and morbidity trends after the first year in survivors of acute myocardial infarction: a systematic review. BMC Cardiovasc Disord. 2017;17(1):53. PMID: 28173750; https://doi.org/10.1186/s12872-017-0482-9.
- Asaria P, Elliott P, Douglass M, et al. Acute myocardial infarction hospital admissions and deaths in England: a national follow-back and follow- forward record-linkage study. Lancet Public Health. 2017;2(4):e191-e201. PMID: 29253451; https://doi.org/10.1016/S2468-2667(17)30032-4.
- Schmidt G, Malik M, Barthel P, et al. Heart-rate turbulence after ventricular premature beats as a predictor of mortality after acute myocardial infarction. Lancet. 1999;353(9162):1390-6. PMID: 10227219; https:// doi.org/10.1016/S0140-6736(98)08428-1.
- Disertori M, Masè M, Rigoni M, Nollo G, Ravelli F. Heart Rate Turbulence is a Powerful Predictor of Cardiac Death and Ventricular Arrhythmias in Postmyocardial Infarction and Heart Failure Patients: A Systematic Review and Meta-Analysis. Circ Arrhythm Electrophysiol. 2016;9(12):e004610. PMID: 27879279; https://doi.org/10.1161/CIRCEP.116.004610.
- Carney RM, Howells WB, Blumenthal JA, et al. Heart rate turbulence, depression, and survival after acute myocardial infarction. Psychosom Med. 2007;69(1):4-9. PMID: 17167127; https://doi.org/10.1097/01\. psy.0000249733.33811.00.
- Sade E, Autemir K, Oto A, et al. Assessment of heart rate turbulence in the acute phase of myocardial infarction for long-term prognosis. Pacing Clin Electrophysiol. 2003;26(2 Pt 1):544-50. PMID: 12710312; https://doi.org/10.1046/j.1460-9592.2003.00092.x.
- Barthel P, Schneider R, Bauer A, et al. Risk stratification after acute myocardial infarction by heart rate turbulence. Circulation. 2003;108(10):1221-6. PMID: 12939209; https://doi.org/10.1161/01\. CIR.0000088783.34082.89.
- Bauer A, Malik M, Schmidt G, et al. Heart rate turbulence: standards of measurement, physiological interpretation, and clinical use: International Society for Holter and Noninvasive Electrophysiology Consensus. J Am Coll Cardiol. 2008;52(17):1353-65. PMID: 18940523; https://doi.org/10.1016/j.jacc.2008.07.041.
- Bauer A, Malik M, Barthel P, et al. Turbulence dynamics: an independent predictor of late mortality after acute myocardial infarction. Int J Cardiol. 2006;107(1):42-7. PMID: 16337496; https://doi.org/10.1016/j. ijcard.2005.02.037.
- Thygesen K, Alpert JS, Jaffe AS, et al. Fourth universal definition of myocardial infarction (2018). Eur Heart J. 2019;40(3):237-69. PMID: 30165617; https://doi.org/10.1093/eurheartj/ehy462.
- Hoshida K, Miwa Y, Miyakoshi M, et al. Simultaneous assessment of T-wave alternans and heart rate turbulence on holter electrocardiograms as predictors for serious cardiac events in patients after myocardial infarction. Circ J. 2013;77(2):432-8. PMID: 23059771; https//doi. org/10.1253/circj.CJ-12-0789.
- Huikuri HV, Raatikainen MJ, Moerch-Joergensen R, et al. Prediction of fatal or near-fatal cardiac arrhythmia events in patients with depressed left ventricular function after an acute myocardial infarction. Eur Heart J. 2009;30(6):689-98. PMID: 19155249; https://doi.org/10.1093/eurheartj/ehn537.
- Exner DV, Kavanagh KM, Slawnych MP, et al. Noninvasive risk assessment early after a myocardial infarction the REFINE Study. J Am Coll Cardiol. 2007;50(24):2275-84. PMID: 18068035; https://doi.org/10.1016/j. jacc.2007.08.042.
- Berkowitsch A, Zareba W, Neumann T, et al. Risk stratification using heart rate turbulence and ventricular arrhythmia in MADIT II: usefulness and limitations of a 10-minute holter recording. Ann Noninvasive Electrocardiol. 2004;9(3):270-9. PMID: 15245344; https://doi.org/10.1111/ j.1542-474X.2004.93600.x.
- Steger A, Müller A, Barthel P, et al. Polyscore of Non-invasive Cardiac Risk Factors. Front Physiol. 2019;10:49. PMID: 30778303; https://doi. org/10.3389/fphys.2019.00049.
- Authors' contributions: Gomes RAF: conceptualization (equal), data curation (equal), formal analysis (equal), investigation (equal), methodology (equal) and writing-original draft (equal); Sobral-Filho DC: methodology (equal), supervision (equal), validation (equal) and writing-review and editing (equal) Acknowledgements: Fátima Monteiro and Afonso Albuquerque, for -Brasil (CAPES), under finance code 001 Conflicts of interests: None Date of first submission: October 29, 2021 Last received: December 22, 2021
- Accepted: January 27, 2022 Address for correspondence: Rafael Alessandro Ferreira Gomes Departamento de Cardiologia, Universidade de Pernambuco (UPE) R. dos Palmares, s/n o Santo Amaro -Recife (PE) -Brasil CEP 50100-010