Risk stratification after acute myocardial infarction by heart rate turbulence
Abstract
Background— Retrospective postinfarction studies revealed that decreased heart rate turbulence (HRT) indicates increased risk for subsequent death. This is the first prospective study to validate HRT in a large cohort of the reperfusion era. Methods and Results— One thousand four hundred fifty-five survivors of an acute myocardial infarction (age <76 years) in sinus rhythm were enrolled. HRT onset (TO) and slope (TS) were calculated from Holter records. Patients were classified into the following HRT categories: category 0 if both TO and TS were normal, category 1 if either TO or TS was abnormal, or category 2 if both TO and TS were abnormal. The primary end point was all-cause mortality. During a follow-up of 22 months, 70 patients died. Multivariately, HRT category 2 was the strongest predictor of death (hazard ratio, 5.9; 95% CI, 2.9 to 12.2), followed by left ventricular ejection fraction (LVEF) ≤30% (4.5; 2.6 to 7.8), diabetes mellitus (2.5; 1.6 to 4.1), age ≥65 years (2.4; 1.5 to 3.9), and HRT category 1 (2.4; 1.2 to 4.9). LVEF ≤30% had a sensitivity of 27% at a positive predictive accuracy level of 23%. The combined criteria of LVEF ≤30%, HRT category 2 or LVEF >30%, age ≥65 years, diabetes mellitus, and HRT category 2 had a sensitivity of 24% at a positive predictive accuracy level of 37%. The combined criteria of LVEF ≤30% or LVEF >30%, age ≥65 years, diabetes mellitus, and HRT category 1 or 2 had a sensitivity of 44% at a positive predictive accuracy level of 23%. Conclusions— HRT is a strong predictor of subsequent death in postinfarction patients of the reperfusion era.
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Abnormal HRT parameters have been documented in various subsets of patients following myocardial infarction, or patients with heart failure or other cardiac and noncardiac diseases such as diabetes, obstructive sleep apnea, or connective tissue diseases.
“Abnormal HRT parameters have been documented in various subsets of patients following myocardial infarction, or patients with heart failure or other cardiac and noncardiac diseases such as diabetes, obstructive sleep apnea, or connective tissue diseases (Barthel et al., 2003;Bauer et al., 2008;Cygankiewicz et al., 2008;Exner et al., 2007;Huikuri et al., 2009;Schmidt et al., 1999).”
From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Barthel et al., 2003
The Abstract and Discussion document abnormal HRT parameters in patients after myocardial infarction, and the Conclusion identifies a high-risk diabetic subgroup within that postinfarction population. The paper does not document abnormal HRT in patients with diabetes independently of infarction, or in patients with heart failure, obstructive sleep apnea, or connective tissue diseases. No page numbers are provided in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe initial evidence of the usefulness of abnormal HRT to stratify risk for all-cause mortality in postmyocardial infarction was confirmed in patients receiving guideline-directed medical therapy and early revascularization by PCI.
“The initial evidence of the usefulness of abnormal HRT to stratify risk for all-cause mortality (Schmidt et al., 1999) in postmyocardial infarction was confirmed in patients receiving guideline-directed medical therapy and early revascularization by PCI (Barthel et al., 2003;Exner et al., 2007;Makikallio et al., 2005).”
From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Barthel et al., 2003
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References 16 · Cited by 266
Research works printed but not linked: 2
- [13]13. Task Force of the European Society of Cardiology and the American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circu- lation. 1996;93:1043-1065.
- [15]15. Concato J, Peduzzi P, Holford TR, et al. Importance of events per independent variable in proportional hazards analysis. J Clin Epidemiol. 1995;48:1495-501.
- Authors
- Barthel, P., Schneider, R., Bauer, A., Ulm, K., Schmitt, C., Schömig, A., & Schmidt, G.
- Affiliations
- Technical University of Munich (DE)
- From 1 Medizinische Klinik and Institut für Medizinische Statistik und Epidemiologie der Technischen Universität München (K.U.), Germany.
- Venue
- Circulation
- Published
- 2003-09-09
- Volume
- 108
- Issue
- 10
- Pages
- 1221-1226
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W1967926453
- Cited by
- 266
- References
- 16
- Citations by year
- 2025: 5 · 2024: 1 · 2023: 2 · 2022: 8 · 2021: 5 · 2020: 11 · 2019: 4 · 2018: 2 · 2017: 15 · 2016: 18 · 2015: 14 · 2014: 8 · 2013: 11 · 2012: 21
- FWCI
- 10.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Acute Myocardial Infarction Research
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Keywords
- heart rate turbulence, acute myocardial infarction, risk stratification, all-cause mortality, left ventricular ejection fraction, reperfusion therapy, mortality prediction, diabetes mellitus, Holter monitoring
- MeSH terms
- Aged, Arrhythmias, Cardiac, Blood Pressure, Diabetes Mellitus, Female, Follow-Up Studies, Heart Rate, Humans, Male, Middle Aged, Myocardial Infarction, Predictive Value of Tests, Prospective Studies, Retrospective Studies, Risk Factors, Sensitivity and Specificity, Cohort Studies, Electrocardiography, Ambulatory, Comorbidity, Survivors, Risk Assessment, Ventricular Premature Complexes
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