Effect of Hyperventilation on Periodic Repolarization Dynamics

Schuettler, Dominik; Stuelpnagel, Lukas von; Rizas, Konstantinos D.; Bauer, Axel; Brunner, Stefan und Hamm, Wolfgang (18. September 2020): Effect of Hyperventilation on Periodic Repolarization Dynamics. In: Frontiers in Physiology, Bd. 11, 542183: S. 1-5

Abstract

Heart and lung functions are closely connected, and the interaction is mediated by the autonomic nervous system. Hyperventilation has been demonstrated to especially activate its sympathetic branch. However, there is still a lack of methods to assess autonomic activity within this cardiorespiratory coupling. Periodic repolarization dynamics (PRD) is an ECG-based biomarker mirroring the effect of efferent cardiac sympathetic activity on the ventricular myocardium. Its calculation is based on beat-to-beat variations of the T wave vector (dT degrees). In the present study, we investigated the effects of a standardized hyperventilation maneuver on changes of PRD and its underlyingdT degrees signal in 11 healthy subjects. In response to hyperventilation,dT degrees revealed a characteristic pattern and normalizeddT degrees values increased significantly compared to baseline [0.063 (IQR 0.032) vs. 0.376 (IQR 0.093),p< 0.001] and recovery [0.082 (IQR 0.029) vs. 0.376 (IQR 0.093),p< 0.001]. During recovery,dT degrees remained on a higher level compared to baseline (p= 0.019). When calculating PRD, we found significantly increased PRD values after hyperventilation compared to baseline [3.30 (IQR 2.29) deg(2)vs. 2.76 (IQR 1.43) deg(2),p= 0.018]. Linear regression analysis revealed that the increase in PRD level was independent of heart rate (p= 0.63). Our pilot data provide further insights in the effect of hyperventilation on sympathetic activity associated repolarization instability.

• Dokumententyp: Zeitschriftenartikel
• Publikationsform: Publisher's Version
• Keywords: Hyperventilation; autonomic function; sympathetic nervous system; repolarization instability; T wave vector; periodic repolarization dynamics
• Fakultät: Medizin
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1664-042X
• Sprache: Englisch