The DOI matches its Crossref record, with a small difference in title or year; 282 of the 284 references it cites were found in a registry or an index.
Heart Rate Turbulence: Standards of Measurement, Physiological Interpretation, and Clinical Use
Open accessAbstract
This consensus statement has been compiled on behalf of the International Society for Holter and Noninvasive Electrophysiology. It reviews the topic of heart rate turbulence (HRT) and concentrates on technologies for measurement, physiologic background and interpretation, and clinical use of HRT. It also lists suggestions for future research. The phenomenon of HRT refers to sinus rhythm cycle-length perturbations after isolated premature ventricular complexes. The physiologic pattern of HRT consists of brief heart rate acceleration (quantified by the so-called turbulence onset) followed by more gradual heart rate deceleration (quantified by the so-called turbulence slope) before the rate returns to a pre-ectopic level. Available physiologic investigations confirm that the initial heart rate acceleration is triggered by transient vagal inhibition in response to the missed baroreflex afferent input caused by hemodynamically inefficient ventricular contraction. A sympathetically mediated overshoot of arterial pressure is responsible for the subsequent heart rate deceleration through vagal recruitment. Hence, the HRT pattern is blunted in patients with reduced baroreflex. The HRT pattern is influenced by a number of factors, provocations, treatments, and pathologies reviewed in this consensus. As HRT measurement provides an indirect assessment of baroreflex, it is useful in those clinical situations that benefit from baroreflex evaluation. The HRT evaluation has thus been found appropriate in risk stratification after acute myocardial infarction, risk prediction, and monitoring of disease progression in heart failure, as well as in several other pathologies.
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“Clinical and ECG covariates such as age, LVEF, NYHA class, heart rate, number of PVCs, pharmacotherapy, and invasive therapeutic strategies influence HRT results (Bauer et al., 2008;Cygankiewicz, 2013).”
From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Bauer et al., 2008
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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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 (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 Bauer et al., 2008
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“Abnormal HRT seems to be particularly useful in identifying high-risk patients among those with LVEF .30%(Bauer et al., 2008;Cygankiewicz et al., 2009;La Rovere et al., 2012) and is frequently evaluated in risk scores that combine assessment of arrhythmogenic substrate (low LVEF), repolarization instability (e.g., TWA), and abnormal autonomic nervous system tone (HRV).”
From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Bauer et al., 2008
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“Heart rate turbulence analyzes the baroreceptor-mediated response of the sinus node to premature ventricular beats composed of an early acceleration and subsequent deceleration and is an indicator of baroreceptor sensitivity (Schmidt et al., 1999;Bauer et al., 2008).”
From 2017 ISHNE-HRS expert consensus statement on ambulatory ECG and external cardiac monitoring/telemetry (2017) · cites this paper as Bauer et al., 2008
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Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Book Review: Time Series Analysis: Forecasting and Control
Geurts, M. D., Box, G. E. P., & Jenkins, G. M. (1977) · Journal of Marketing Research · doi:10.2307/3150485 · Cited by 19,410
On the use of windows for harmonic analysis with the discrete Fourier transform
Harris, F. J. (1978) · Proceedings of the IEEE · doi:10.1109/proc.1978.10837 · Cited by 7,326
Akselrod, S., Gordon, D., Ubel, F. A., Shannon, D. C., Berger, A. C., & Cohen, R. J. (1981) · Science · doi:10.1126/science.6166045 · Cited by 5,079
Pitt, B., Remme, W., Zannad, F., Neaton, J., Martinez, F., Roniker, B., Bittman, R., Hurley, S., Kleiman, J., & Gatlin, M. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030207 · Cited by 4,941
Pagani, M., Lombardi, F., Guzzetti, S., Rimoldi, O., Furlan, R., Pizzinelli, P., Sandrone, G., Malfatto, G., Dell'Orto, S., & Piccaluga, E. (1986) · Circulation Research · doi:10.1161/01.res.59.2.178 · Cited by 4,130
Self-citationKleiger, R. E., Miller, J. P., Bigger, J. T., & Moss, A. J. (1987) · The American Journal of Cardiology · doi:10.1016/0002-9149(87)90795-8 · Cited by 3,995
Cardiovascular neural regulation explored in the frequency domain.
Malliani, A., Pagani, M., Lombardi, F., & Cerutti, S. (1991) · Circulation · doi:10.1161/01.cir.84.2.482 · Cited by 3,569
Self-citationMortality and Morbidity in Patients Receiving Encainide, Flecainide, or Placebo
Echt, D. S., Liebson, P. R., Mitchell, L. B., Peters, R. W., Obias-Manno, D., Barker, A. H., Arensberg, D., Baker, A., Friedman, L., Greene, H. L., et al. (1991) · New England Journal of Medicine · doi:10.1056/nejm199103213241201 · Cited by 3,244
Spectrum analysis—A modern perspective
Kay, S., & Marple, S. L. (1981) · Proceedings of the IEEE · doi:10.1109/proc.1981.12184 · Cited by 3,151
Flagged first, then by citations
2 of the 284 references couldn’t be matched to a known paper.
Research works printed but not linked: 12
- Guzik, 2005, Heart rate and blood pressure turbulence after induced single ventricular premature contractions in patients with ICD (abstr), Folia Cardiol, 12, 212
- Schneider, 1999, Heart rate turbulence: rate of frequency decrease predicts mortality in chronic heart disease patients (abstr), Pacing Clin Electrophysiol, 22, 879
- Berkowitsch, 2001, Turbulence jump—a new descriptor of heart-rate turbulence after paced premature ventricular beats, Eur Heart J, 22, 547
- Schmidt, 2001, Correlation coefficient of the heart rate turbulence slope: new risk stratifier in post-infarction patients (abstr), Eur Heart J, 22, 72
- Hecht, 1914, [The Morgagni-Adams-Stokes Syndrome in childhood and its treatment], Wien Med Wochenschr, 64, 178
- Döhlemann, 1979, [Ventricular premature systoles causing ventriculophasic sinus arrhythmia], Z Kardiol, 68, 557
- Yap, 2001, Heart rate turbulence is influenced by heart rate, age, LVEF, NYHA class, diabetes, drugs and frequency of ventricular ectopics in patients after acute myocardial infarction—EMIAT substudy, J Am Coll Cardiol, 37, 133A
- Güttler, 2001, Effect of vagus blockade with atropine on heart-rate turbulence (abstr), Pacing Clin Electrophysiol, 24, 625
- Schmidt, 2000, Heart rate turbulence: impact of coupling interval and preceding sinus interval (abstr), Eur Heart J, 21, 551
- Chowdhary, 2000, Effects of quinalapril and candesartan on heart rate turbulence in heart failure, Pacing Clin Electrophysiol, 23, 643
- Barthel, 2005, Impact of age on prognostic significance of heart rate turbulence, Circulation, 112, U456
- Barthel, 2000, Heart rate turbulence in post-MI patients with and without diabetes (abstr), J Am Coll Cardiol, 35, 144A
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Vossen, S., van Osta, N., Lourenço, G., Laranjo, S. M., & Lumens, J. (2026) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-026-02119-w
Park, S. H., Jin, J., Kim, J., Lee, D., Kim, D., Jang, J., Yu, H. T., You, S. C., & Joung, B. (2026) · Heart Rhythm · doi:10.1016/j.hrthm.2026.10.036
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Metadata
- Authors
- Bauer, A., Malik, M., Schmidt, G., Barthel, P., Bonnemeier, H., Cygankiewicz, I., Guzik, P., Lombardi, F., Müller, A., Oto, A., Schneider, R., Watanabe, M., Wichterle, D., & Zareba, W.
- Affiliations
- Deutsches Herzzentrum München (DE)
- University of Lübeck (DE)
- University of Rochester Medicine (US)
- University of Milan (IT)
- Hacettepe University (TR)
- Saint Louis University (US)
- Charles University (CZ)
- ORCID
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2008-10
- Volume
- 52
- Issue
- 17
- Pages
- 1353-1365
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W2004025317
- Cited by
- 462
- References
- 284
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 14 · 2023: 17 · 2022: 20 · 2021: 17 · 2020: 26 · 2019: 20 · 2018: 20 · 2017: 46 · 2016: 26 · 2015: 30 · 2014: 25 · 2013: 48 · 2012: 37
- FWCI
- 21.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of the American College of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Hacettepe University Institutional Repository (hacettepe.edu.tr) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Syncope and Autonomic Disorders
- Keywords
- heart rate turbulence, baroreflex sensitivity, premature ventricular contractions, vagal withdrawal, heart rate acceleration, heart rate deceleration, heart failure monitoring, autonomic nervous system, Holter monitoring
- MeSH terms
- Arrhythmias, Cardiac, Consensus Development Conferences as Topic, Consensus Statements as Topic, Heart Conduction System, Heart Rate, Humans, Prognosis, Vagus Nerve, Ventricular Function, Baroreflex, Risk Assessment
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