Cited by 8Cardiovascular Function and Risk FactorsCardiac electrophysiology and arrhythmiasHeart Rate Variability and Autonomic Control

Post-extrasystolic Blood Pressure Potentiation as a Risk Predictor in Cardiac Patients

Open access
Steger, Alexander, 1st Medical Clinic and Policlinic, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, Sinnecker, Daniel, 1st Medical Clinic and Policlinic, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, Barthel, Petra, 1st Medical Clinic and Policlinic, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany, Müller, Alexander, 1st Medical Clinic and Policlinic, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany +4 more·2016·Arrhythmia & Electrophysiology Review

Abstract

For more than 100 years physicians have observed that heartbeats following extrasystolic beats are characterised by augmented myocardial contractility. This phenomenon was termed post-extrasystolic potentiation (PESP). In the 1970s it was first noted that PESP measured at the blood pressure level is typically pronounced in heart failure patients. Only recently, it was shown that PESP measured non-invasively as post-extrasystolic blood pressure potentiation was a strong and independent predictor of death in survivors of myocardial infarction and in patients with chronic heart failure. A similar parameter (PESP Afib) can be also assessed in patients with atrial fibrillation. PESP and PESP Afib can be understood as non-invasive parameters that indicate myocardial dysfunction. They have the potential to improve risk stratification strategies for cardiac patients.

Integrity signals

Registry

Crossref · 10.15420/aer.2016.14.2

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The increase in cardiac contractility after a prolonged beat (due to an extrasystolic beat or AF) is greater in HF patients.

    “the increase in cardiac contractility after a prolonged beat (due to an extrasystolic beat or AF) is greater in HF patients”

    From Wearable Photoplethysmography for Cardiovascular Monitoring (2022) · cites this paper as [261]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Steger, A., 1st Medical Clinic and Policlinic, K. R. D. I., Sinnecker, D., 1st Medical Clinic and Policlinic, K. R. D. I., Barthel, P., 1st Medical Clinic and Policlinic, K. R. D. I., Müller, A., 1st Medical Clinic and Policlinic, K. R. D. I., Gebhardt, J., 1st Medical Clinic and Policlinic, K. R. D. I., Schmidt, G., & 1st Medical Clinic and Policlinic, K. R. D. I.
Affiliations
TUM Klinikum (DE)
Venue
Arrhythmia & Electrophysiology Review
Published
2016
Volume
5
Issue
1
Pages
27
ISSN
2050-3369 (ISSN-L)
OpenAlex
W2399464813
Cited by
8
References
19
Citations by year
2026: 1 · 2024: 2 · 2023: 1 · 2022: 2 · 2019: 1 · 2017: 1
FWCI
0.55
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Arrhythmia & Electrophysiology Review (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
Keywords
postextrasystolic potentiation, extrasystoles, cardiac contractility, heart failure, myocardial infarction, atrial fibrillation, risk stratification, mortality prediction, noninvasive cardiac assessment, cardiac dysfunction

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review