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Volume 13
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10.3390/jcm13237035
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Aortic Pulse Wave Velocity Determined with Oscillometric Pulse Wave Analysis Algorithm Antares Is an Independent Predictor of Major Adverse Cardiovascular Events: A Prospective Cohort Study

by
Marcus Dörr
1,2,
Harald Lapp
3,
Stefan Richter
4,
Alexander Stäuber
1,5,*,
Martin Bahls
1,2,
Stefan Gross
1,2,
Marc-Alexander Ohlow
6,
Siegfried Eckert
7,
Franziska Stäuber
8,
Matthias Wilhelm Hoppe
9 and
Johannes Baulmann
10
1
Department of Internal Medicine B, University Medicine Greifswald, 17475 Greifswald, Germany
2
German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, 17475 Greifswald, Germany
3
Department of Cardiology, Zentralklinik Bad Berka GmbH, 99437 Bad Berka, Germany
4
Department of Cardiology, SRH Klinikum Burgenlandkreis GmbH, 06618 Naumburg, Germany
5
Department of Medicine, Training and Health, Philipps University of Marburg, 35032 Marburg, Germany
6
Department of Cardiology, SRH Wald-Klinikum GmbH, 07548 Gera, Germany
7
Clinic for General and Interventional Cardiology/Angiology, Heart and Diabetes Center North Rhine-Westphalia, 32545 Bad Oeynhausen, Germany
8
Department of Sports Medicine and Exercise Therapy, Chemnitz University of Technology, 09126 Chemnitz, Germany
9
Department of Exercise Science, Philipps University of Marburg, 35032 Marburg, Germany
10
Praxis Dres. Gille/Baulmann, 53359 Rheinbach, Germany
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2024, 13(23), 7035; https://doi.org/10.3390/jcm13237035
Submission received: 14 October 2024 / Revised: 19 November 2024 / Accepted: 20 November 2024 / Published: 21 November 2024
(This article belongs to the Section Cardiovascular Medicine)
Versions Notes

Abstract

Background/Objectives: Aortic pulse wave velocity (aPWV) is a well-established surrogate marker of arterial stiffness. The Antares algorithm offers a method for determining aPWV from oscillometric blood pressure waveforms without requiring additional inputs. This prospective study aimed to evaluate the association and prognostic value of aPWV, determined by Antares, in predicting major adverse cardiovascular events (MACE). Methods: In total, 240 patients (median age 69, 25.4% female) underwent oscillometric blood pressure measurements, from which aPWV was calculated using the Antares algorithm. MACE, comprising myocardial infarction, stroke, or all-cause mortality, occurred in 19.2% of patients during a median follow-up of 43 months. Survival analyses were performed using continuous aPWV values, a 10 m/s threshold, and aPWV quartiles. Kaplan–Meier curves and log-rank tests were used to compare survival across aPWV groups. Cox proportional hazards models were applied to assess the independent predictive value of aPWV. Results: Patients with aPWV < 10 m/s showed significantly higher event-free survival compared to those with aPWV ≥ 10 m/s (log-rank p = 0.044). Quartile analysis reinforced this, with the highest event rate in the highest aPWV quartile (log-rank p < 0.01). Multivariable analysis confirmed aPWV as an independent predictor of MACE (HR per 1 m/s: 1.24, 95% CI: 1.08–1.41; HR per 1 SD: 1.53, 95% CI: 1.17–2.00, p = 0.002). Adding aPWV to a risk model improved predictive accuracy (C-index 0.68 to 0.71). Conclusions: In the investigated cohort, aPWV derived using the Antares algorithm is an independent predictor of cardiovascular events. This non-invasive approach is promising for improving simple outpatient risk stratification and targeting preventive measures.
Keywords: pulse wave velocity; pulse wave analysis; Antares; oscillometry; MACE pulse wave velocity; pulse wave analysis; Antares; oscillometry; MACE

Share and Cite

MDPI and ACS Style

Dörr, M.; Lapp, H.; Richter, S.; Stäuber, A.; Bahls, M.; Gross, S.; Ohlow, M.-A.; Eckert, S.; Stäuber, F.; Hoppe, M.W.; et al. Aortic Pulse Wave Velocity Determined with Oscillometric Pulse Wave Analysis Algorithm Antares Is an Independent Predictor of Major Adverse Cardiovascular Events: A Prospective Cohort Study. J. Clin. Med. 2024, 13, 7035. https://doi.org/10.3390/jcm13237035

AMA Style

Dörr M, Lapp H, Richter S, Stäuber A, Bahls M, Gross S, Ohlow M-A, Eckert S, Stäuber F, Hoppe MW, et al. Aortic Pulse Wave Velocity Determined with Oscillometric Pulse Wave Analysis Algorithm Antares Is an Independent Predictor of Major Adverse Cardiovascular Events: A Prospective Cohort Study. Journal of Clinical Medicine. 2024; 13(23):7035. https://doi.org/10.3390/jcm13237035

Chicago/Turabian Style

Dörr, Marcus, Harald Lapp, Stefan Richter, Alexander Stäuber, Martin Bahls, Stefan Gross, Marc-Alexander Ohlow, Siegfried Eckert, Franziska Stäuber, Matthias Wilhelm Hoppe, and et al. 2024. "Aortic Pulse Wave Velocity Determined with Oscillometric Pulse Wave Analysis Algorithm Antares Is an Independent Predictor of Major Adverse Cardiovascular Events: A Prospective Cohort Study" Journal of Clinical Medicine 13, no. 23: 7035. https://doi.org/10.3390/jcm13237035

APA Style

Dörr, M., Lapp, H., Richter, S., Stäuber, A., Bahls, M., Gross, S., Ohlow, M. -A., Eckert, S., Stäuber, F., Hoppe, M. W., & Baulmann, J. (2024). Aortic Pulse Wave Velocity Determined with Oscillometric Pulse Wave Analysis Algorithm Antares Is an Independent Predictor of Major Adverse Cardiovascular Events: A Prospective Cohort Study. Journal of Clinical Medicine, 13(23), 7035. https://doi.org/10.3390/jcm13237035

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